essay on importance of learning process

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Why is Learning Important? A Deep Dive Into the Benefits of Being a Lifelong Learner

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Learning and development is changing and to stay ahead of the curve you need to know the ways in which it’s doing so.

Learning is important (at least to us here at Learnerbly 😉). 

But why is learning important? 

Education - both formal and informal - is essential to the development of considerate, compassionate, and cooperative societies, the success of organizations, and the personal pursuit of happiness. 

In this article, we unpack what continuous learning and education can mean to the life of each individual, to the organization's they are part of, and to their broader societies.

Looking at this issue from a different angle, we then reflect on some of the potential consequences of not practicing continuous learning—or at least of not prioritizing education in our day-to-day lives.

What Does Learning Even Mean? 

Learning is essential to humanity. It’s so embedded in our lives that we rarely consider what it means . 

Learning is the process of gaining new skills, knowledge, understanding, and values. This is something people can do by themselves, although it’s generally made easier with education: the process of helping someone or a group of others to learn.

With educational support, learning can happen more efficiently. Education is also how we collect and share all the skills and knowledge we learn individually. Benefitting from education instead of having to build new skills and knowledge by ourselves from scratch is part of what it means to live in a society instead of in isolation.

Learning and education impart more than just knowledge and skills. They also transmit the values, attitudes, and behaviors we have decided to share. 

For example, education has helped us to create and maintain the shared belief that when someone does something particularly harmful, they deserve a fair legal trial no matter their crime.

In simple terms, learning and education help hold together human life and civilization as we know it. They are what we use to make our societies better for ourselves, those around us, and those who come after us.

This is why the right to free elementary education is enshrined in the Universal Declaration of Human Rights , which states that “education shall be directed to the full development of the human personality and to the strengthening of respect for human rights and fundamental freedoms” and that “it shall promote understanding, tolerance and friendship among all nations, racial or religious groups”.

What Does Learning Mean for Us Today?

Learning is not unique to humans. Scientists have observed many different animals teaching their young skills like how to find food and keep themselves safe.

Among humans, educational practices can be traced back practically as far as human life goes. Evidence of teaching and learning has been found from remnants of human life dating back thousands of years BCE—and that’s just where we’ve found written evidence. Oral and practical education (for example, early humans physically teaching their children to hunt and forage for food) likely go back even further.

Learning has continued all over the world throughout the history of human life, in more ways than we have time to write about here. However, the Fourth Industrial Revolution will have a massive impact on how we as a global society approach education going forward. 

The Fourth Industrial Revolution refers to the rapid rise of new technologies including big data, artificial intelligence, automation, and the Internet of Things. Life in this new technological landscape demands that we change our approach to education in a number of ways. 

One major shift we’ll all have to make is the move from viewing education as something finite (something we do at school and university so we can go into the working world and then never have to study again) to something that keeps going throughout our lives as we gain new skill after new skill.

To face a future of constant technological change, we’ll need to adapt to continuous learning as a new norm. In his book Future Shock, US writer and businessperson Alvin Toffler wrote that “the illiterate of the 21st Century will not be those who cannot read and write, but those who cannot learn and relearn.”

The future of education lies in integrating continuous learning into our everyday personal and professional lives even more than we already do. 

This might be why the Finnish Innovation Fund Sitra has proposed that compulsory, publicly funded education covers not just elementary school—as the Universal Declaration of Human Rights puts forward—but continuous learning, too. 

Sitra cites US American biologist E.O. Wilson, who said “We are drowning in information, but yearn for wisdom. Therefore, the world will be led by those… who are able to compile the correct information at precisely the right moment while thinking critically and making important decisions wisely.”

How Learning Supports Our Wellbeing

We’ve talked about why education is important to society as a whole, but continuous learning also benefits the personal life of anyone who engages with it. Here's how.

Research suggests that people who practice continuous or lifelong learning are happier on average. This may be because lifelong learning helps people to keep developing their passions and interests, which bring us happiness. 

Learning about topics that interest us makes most of us feel happy, at least in the moment, as does spending time honing hobbies we are passionate about (which is also an act of lifelong learning!). It stands to reason that building time for these things into your personal life would contribute to your overall happiness.

Continuous learning also helps us to keep pursuing our personal and professional development goals, and all the achievements along the way are a great source of happiness for many of us. 

It also helps us keep boredom at bay, which is another way of increasing our happiness.

Several scientific studies have shown that lifelong learning activities can help people maintain better brain function as they age. 

One study found that people with Alzheimer’s who practice more learning throughout their lives start to display dementia symptoms later than those who have spent less time learning. In other words, lifelong learning might be able to slow the onset of Alzheimer’s. 

Another study found that spending time learning to play a new musical instrument can help delay cognitive decline. A third study found that spending time learning new skills, namely digital photography and quilting, helped elderly people to improve their memories.

How Learning Supports Our Work

Continuous learning—especially in the form of workplace learning—also offers a host of professional benefits for both employees and their organizations. These include:

One key way that continuous learning helps both employees and their companies is by helping people upskill, which means improving their existing skill sets and broadening them with new skills.

Upskilling is good for employees because it equips them with the knowledge and skills they need to pursue their personal and professional development goals, for example by upskilling towards a promotion.

Building a more highly skilled workforce through continuous learning is also beneficial to companies. More skilled employees can do their jobs better and faster, and research shows that companies with a strong learning culture are 52% more productive.

Employees learning new skills to pursue promotions also benefits companies because internal promotion is generally a more time-efficient and cost-effective solution than hiring externally. 

Lastly, companies who support their employees' continuous learning boast demonstrably higher staff engagement, which in turn boosts productivity and profitability . This is also beneficial to individual employees, because being engaged at work generally means enjoying your job and finding it meaningful.

Adaptability

As we mentioned earlier, the Fourth Industrial Revolution is pushing employees to pursue continuous learning throughout their lives as they will have to constantly adapt to new knowledge and technological changes, which keep appearing faster and faster.

Engaging in continuous learning means becoming accustomed to incorporating new knowledge all the time, and this is essential in order to keep adapting. 

It's important to make learning continuous because this gives people the skills they need to adapt, empowering them to stay competitive in the job market, pursue promotions in their current jobs, and keep pace with knowledge and technological changes in their everyday lives. 

Investing in an adaptable workforce by supporting continuous learning is also key to any company that wants to remain competitive and relevant in its industry.

Learning also drives innovation, which describes the new ideas and technological and cultural developments that people come up with to solve problems and improve their societies. 

Research shows that companies that have a strong learning culture are 92% more likely to innovate by developing new products and processes, and 56% more likely to be first to market with these new developments. 

Innovation is important for society as a whole because the benefits of these new developments can be shared to help improve all of our lives. The fast-tracking of the Covid-19 vaccines are a great example of an organizational innovation that has been developed to combat a global pandemic.

Learning can also help people build the critical thinking skills they need to view problems in new, innovative ways.

What Happens If We Don’t Prioritize Learning?

Another way to reflect on why learning is so important is to think about all the potential negative consequences of not prioritizing learning enough. 

The flipside of everything we’ve said in this article is that a society that didn’t prioritize learning would have a lack of shared knowledge and skills for people to benefit from. It would also have a lack of shared ideas and values, which could stoke conflict and war as people and their leaders might struggle more to find common goals on which they can agree.

Not prioritizing learning about other people and cultures would also diminish our ability to understand people who are different from us, and this too would contribute to increased conflict and violence.

People who don’t prioritize continuous learning enough in their own lives are likely to be less happy or fulfilled, as they spend less time exploring their interests and working on personal development.

Elderly people who spend less time on learning are likely to experience faster cognitive degeneration than those who learn regularly.

Companies that don’t prioritize their people’s learning are less productive, less profitable, and have lower staff engagement rates than those that do. They’re also less likely to remain competitive in their industries or produce novel products or services. 

People who don’t get enough learning support at work are more likely to be disengaged and see their skills stagnate compared to those who work with companies that invest in their people’s learning. 

They will also struggle more with pursuing career development , as they have little support for the upskilling they need to do to grow in their work.

Lastly, if we don’t prioritize learning enough as we face an uncertain—but certainly technologically advancing—future, we will likely have a more difficult time adjusting to the changes ahead of us and making the most of future opportunities.

Continuous learning is important because it helps people to feel happier and more fulfilled in their lives and careers, and to maintain stronger cognitive functioning when they get older. 

Making learning continuous helps companies boost their productivity, profitability, adaptability to change, and potential to innovate in their industries. 

Learning is important to society as a whole because it helps different groups of people to share knowledge, agree on mutual values, and understand one another better. 

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THE LEARNING AGENCY LAB ’S  LEARNING CURVE COVERS THE FIELD OF EDUCATION AND THE SCIENCE OF LEARNING. READ ABOUT METACOGNITIVE THINKING OR DISCOVER HOW TO LEARN BETTER THROUGH OUR ARTICLES, MANY OF WHICH HAVE INSIGHTS FROM EXPERTS WHO STUDY LEARNING. 

The Learning Process And Why It Matters

• May 17, 2020
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​Learning is as essential to being human as breathing. It is something we all do throughout our lives, consciously and unconsciously, at work, at school, at home. But what is learning, exactly? What does it mean to learn?

For much of human history, people assumed the ability to learn was the same thing as intelligence. “If you’re smart, you can learn.” Research today supports a far different conclusion.

Yet still far too little has changed in how people learn.

As a society, we are in need of richer forms of education, where information and knowledge work alongside the creativity and problem-solving that matter in today’s economy.

Experts long argued education was about information, facts, dates and details. The idea was that you should learn in order to become knowledgeable. If you could apply that knowledge then it meant you’d learned something. It turns out that this approach to learning doesn’t always fit the world that we live in today. Nor does it match up with what science has shown works.

In the last several decades, science has found that learning is not a byproduct of natural intelligence, but a process. It turns out to be far more accurate to see learning as a method, or system, towards building understanding. Learning does not occur spontaneously based on your IQ or general aptitude.

Learning depends on many other skills: such as focusing and centering your attention, planning and sticking to a program; tenacity, resilience, and the ability to reflect on information. Using a method to learn – or better said, learning how to learn – is the difference between mastery and rote review. This is how truly effective learning can be achieved.

The precise process or method used for learning has been shown to consistently predict success. After analyzing decades of research, experts revealed a startling, consistent finding. Learning methods strongly affect outcomes across professional fields.

Depending on which learning process students used, scientists were able to closely predict their GPAs.

Learning as a process is about more than science, results and prediction however. It is about how society works today, and the changing role of ‘expertise.’ The omnipresence of the internet and our shifting attention spans mean that facts, and memorizing them, has become less valuable.

Technology tends to handle details, logistics and facts for us. The bigger questions instead become: how do our brains really work, and how do we gain mastery?

Finding the best way to learn in the first place, means to set rigorous targets. What is it you truly want or need to learn?

Within the bounds of these targets, it should be normal to expect struggle and setbacks. Still most individuals need the promise of an eventual return from their efforts. Goals should be realistic, so that it feels possible to learn – but also ambitious enough to spark excitement. ​

Ambition surrounding a goal can also carry us through difficulty and hardship on the path.

Recognizing that struggle is often a part of learning prevents us from becoming too discouraged, and giving up entirely. That is – ‘learning is a process.’

Learning as a process means that through method, effort, focus, and practice, we can get a lot better at gaining expertise.

Here are six steps to outline the key areas necessary to learn effectively: ​

Learning is about creating a sense of meaning. The ability to connect a topic to another subject you can about, can make it much simpler to learn. Consider a cherished activity or topic, and figure out how it can be connected to the new field of interest. Involve someone you know or love. If you want to learn to sew, sew something for someone you love.

The other key tool is making learning active, making it meaningful. By active, we mean mentally active. So ask yourself lots of questions as you learn or study something. What does this mean? What does it matter? Could I explain to a friend?

Braindumps are particularly effective. Just write down our thoughts after studying something. As learning researcher Pooja Agarwal argues “No matter what you call it, try this quick retrieval strategy during your instruction before the end of the school year. Here’s how it works:Pause your lesson, lecture, or activity.Ask students to write down everything they can remember. Continue your lesson, lecture, or activity.’” ​

Learning often involves making errors. In fact, it’s inevitable.

Learning can also be understood as knowledge management. As in professional management, success requires forethought, targets and timelines. Goal setting means creating precise targets without vagueness or generalization. Realistic, specific goals keep learners from becoming discouraged.

If a goal is too large or abstract, it can be difficult to picture achieving it. The learner might lose their drive, because the goal is too far in the future. On the other hand, rigor in choosing your learning goals is crucial. Learning material ought to be challenging, rather than easy, or based on already known concepts.

Reach beyond the comfort zone to ideas slightly beyond your grasp. This is where learning occurs.

At the same time, be sure to learn in chunks. To gain knowledge we need to have a dedicated way to a aquire that knowledge and organize it in a way that makes sense. Practically speaking, set aside time for learning and try for small, 30 minutes studying sessions.

Also make sure to think about organizing your learning in ways that build on prior knowledge. Indeed, what you know is that best predictor of what you can learn. ​ ​

Not all practice is made equal however. Superior practice involves being mentally awake, where the mind is at work. Rote memorization or re-readi ng for instance are not active as practice or learning modes. Much better are non-passive techniques, like creating small tests and quizzes, or imagining explaining the topic to a third party.

Not only should learning build on what has been done already, but it should include being able to dredge up older, related topics. A famous study suggested students who tried to remember a passage without looking at it learned it more thoroughly than those who just read it again and again. To give an example, after reading this article, there would be more learning benefits from creating a quiz of related questions, than going back over the text.

In short, there’s no such things as effortless learning. All learning takes work. ​ ​

If you imagine being better at presenting Powerpoints, present more often! It’s also possible to improve upon your knowledge base through self-questioning and self-explanation. Ask: Is this really logical? Why is this thing that way, and not another way? Making an idea clear to another person, or yourself, is one of the best ways to gain knowledge. Working on a team is positive for that reason: by exchanging information, each team member has the chance to improve.

Teaching as a means to learn is certainly a challenge. While extending our knowledge, it is important to support the affective or emotive self. Keep track of improvements and any headway made to keep up morale. ​

Graphic organizers, brain or idea mapping can equally be used to see relationships emerge in a mass of knowledge. Visually seeing the way pieces of information or certain skills connect on a page builds understanding. Aim to see the same information in new ways, by combining topics. Connections become more obvious through combining.

This part is about seeing beyond the cut and dry. What is the bigger picture in how this topic relates to others? Try posing questions about the connections between topics. How does this subject work? Think abstractly.

Ultimately this means beginning by thinking like an expert in the field. Learning plant biology by thinking like a plant biologist. Understand neuroscience by conceptualizing the field the way a real neuroscientist would. ​

Finally towards the end of a learning process, consider what knowledge or skills have been gathered. Have some previous thought processes shifted? What is the connection between this content and your other knowledge bases? In essence, have I learned something? What’s next?

If you have other thoughts about the learning process, drop them in the comments. I’ll be sure to respond. ​ -Ulrich Boser​

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Essay on Lifelong Learning

Students are often asked to write an essay on Lifelong Learning in their schools and colleges. And if you’re also looking for the same, we have created 100-word, 250-word, and 500-word essays on the topic.

Let’s take a look…

100 Words Essay on Lifelong Learning

What is lifelong learning.

Lifelong learning is the idea of always finding new things to learn, no matter how old you are. It’s like being in school your whole life, but without the tests and homework! It’s about keeping your mind active and always being curious.

Why is Lifelong Learning Important?

Benefits of lifelong learning.

Lifelong learning can make life more interesting. It can help us make better decisions and solve problems more easily. It can even help us live longer, healthier lives. Plus, it’s fun to learn new things!

How to Practice Lifelong Learning

Practicing lifelong learning can be as simple as reading a book, taking a class, or even just asking questions. It’s about staying curious and open to new ideas. So keep exploring, keep asking, and keep learning!

250 Words Essay on Lifelong Learning

Understanding lifelong learning, why lifelong learning is important.

Lifelong learning is very important for many reasons. First, it helps us to stay updated. The world is always changing, and we need to keep up with it. If we stop learning, we might miss out on new things. Second, it makes us more interesting. People who keep learning are often more fun to talk to. They have lots of new ideas and stories to share. Third, it keeps our minds sharp. Just like our bodies, our minds need exercise too. Learning is a great way to give our minds a workout.

Ways to Practice Lifelong Learning

There are many ways to keep learning. You can read books, take online courses, or join clubs. You can also learn from your friends and family. Everyone has something to teach, and everyone has something to learn.

The Benefits of Lifelong Learning

Lifelong learning has many benefits. It can help you get better at your job, make you smarter, and even make you happier. People who keep learning often feel more confident and satisfied with their lives.

In conclusion, lifelong learning is a journey that never ends. It is a wonderful way to keep growing, stay interesting, and live a happy life. So, let’s promise ourselves to never stop learning, no matter how old we are.

500 Words Essay on Lifelong Learning

Lifelong Learning is a continuous process of gaining new knowledge and skills throughout one’s life. It’s not just about school or college, but also about learning from everyday experiences. It could be learning a new hobby, a new language, or even about a new culture. The main idea is to keep growing and expanding your mind all the time.

Secondly, it helps you adapt to changes. The world is always changing, with new technologies, new ideas, and new ways of doing things. By continuing to learn, you can keep up with these changes and make the most of new opportunities.

Finally, lifelong learning can make life more interesting and enjoyable. It can help you discover new interests, meet new people, and even achieve personal goals.

How to Practice Lifelong Learning?

Practicing lifelong learning is easier than you might think. Here are a few simple ways you can include learning in your daily life.

Secondly, try new things. This could be a new hobby, a new sport, or even a new food. Trying new things can help you discover what you enjoy and what you’re good at.

Lastly, reflect on your experiences. Think about what you’ve done, what you’ve learned, and how you can use this knowledge in the future.

Lifelong learning has many benefits. It can improve your skills and knowledge, making you more valuable in the job market. It can also improve your self-confidence and self-esteem, helping you feel more capable and successful.

Furthermore, lifelong learning can help you connect with others. By learning about different cultures, ideas, and perspectives, you can understand and relate to people better.

That’s it! I hope the essay helped you.

If you’re looking for more, here are essays on other interesting topics:

Happy studying!

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How People Learn: Brain, Mind, Experience, and School: Expanded Edition (2000)

Chapter: 10 conclusions, 10 conclusions.

The pace at which science proceeds sometimes seems alarmingly slow, and impatience and hopes both run high when discussions turn to issues of learning and education. In the field of learning, the past quarter century has been a period of major research advances. Because of the many new developments, the studies that resulted in this volume were conducted to appraise the scientific knowledge base on human learning and its application to education. We evaluated the best and most current scientific data on learning, teaching, and learning environments. The objective of the analysis was to ascertain what is required for learners to reach deep understanding, to determine what leads to effective teaching, and to evaluate the conditions that lead to supportive environments for teaching and learning.

A scientific understanding of learning includes understanding about learning processes, learning environments, teaching, sociocultural processes, and the many other factors that contribute to learning. Research on all of these topics, both in the field and in laboratories, provides the fundamental knowledge base for understanding and implementing changes in education.

This volume discusses research in six areas that are relevant to a deeper understanding of students’ learning processes: the role of prior knowledge in learning, plasticity and related issues of early experience upon brain development, learning as an active process, learning for understanding, adaptive expertise, and learning as a time-consuming endeavor. It reviews research in five additional areas that are relevant to teaching and environments that support effective learning: the importance of social and cultural contexts, transfer and the conditions for wide application of learning, subject matter uniqueness, assessment to support learning, and the new educational technologies.

LEARNERS AND LEARNING

Development and learning competencies.

Children are born with certain biological capacities for learning. They can recognize human sounds; can distinguish animate from inanimate objects; and have an inherent sense of space, motion, number, and causality. These raw capacities of the human infant are actualized by the environment surrounding a newborn. The environment supplies information, and equally important, provides structure to the information, as when parents draw an infant’s attention to the sounds of her or his native language.

Thus, developmental processes involve interactions between children’s early competencies and their environmental and interpersonal supports. These supports serve to strengthen the capacities that are relevant to a child’s surroundings and to prune those that are not. Learning is promoted and regulated by the children’s biology and their environments. The brain of a developing child is a product, at the molecular level, of interactions between biological and ecological factors. Mind is created in this process.

The term “development” is critical to understanding the changes in children’s conceptual growth. Cognitive changes do not result from mere accretion of information, but are due to processes involved in conceptual reorganization. Research from many fields has supplied the key findings about how early cognitive abilities relate to learning. These include the following:

“Privileged domains:” Young children actively engage in making sense of their worlds. In some domains, most obviously language, but also for biological and physical causality and number, they seem predisposed to learn.

Children are ignorant but not stupid: Young children lack knowledge, but they do have abilities to reason with the knowledge they understand.

Children are problem solvers and, through curiosity, generate questions and problems: Children attempt to solve problems presented to them, and they also seek novel challenges. They persist because success and understanding are motivating in their own right.

Children develop knowledge of their own learning capacities— metacognition—very early. This metacognitive capacity gives them the ability to plan and monitor their success and to correct errors when necessary.

Children’ natural capabilities require assistance for learning: Children’s early capacities are dependent on catalysts and mediation. Adults play a critical role in promoting children’s curiosity and persistence by directing children’s attention, structuring their experiences, supporting their

learning attempts, and regulating the complexity and difficulty of levels of information for them.

Neurocognitive research has contributed evidence that both the developing and the mature brain are structurally altered during learning. For example, the weight and thickness of the cerebral cortex of rats is altered when they have direct contact with a stimulating physical environment and an interactive social group. The structure of the nerve cells themselves is correspondingly altered: under some conditions, both the cells that provide support to the neurons and the capillaries that supply blood to the nerve cells may be altered as well. Learning specific tasks appears to alter the specific regions of the brain appropriate to the task. In humans, for example, brain reorganization has been demonstrated in the language functions of deaf individuals, in rehabilitated stroke patients, and in the visual cortex of people who are blind from birth. These findings suggest that the brain is a dynamic organ, shaped to a great extent by experience and by what a living being does.

Transfer of Learning

A major goal of schooling is to prepare students for flexible adaptation to new problems and settings. Students’ abilities to transfer what they have learned to new situations provides an important index of adaptive, flexible learning; seeing how well they do this can help educators evaluate and improve their instruction. Many approaches to instruction look equivalent when the only measure of learning is memory for facts that were specifically presented. Instructional differences become more apparent when evaluated from the perspective of how well the learning transfers to new problems and settings. Transfer can be explored at a variety of levels, including transfer from one set of concepts to another, one school subject to another, one year of school to another, and across school and everyday, nonschool activities.

People’s abilitiy to transfer what they have learned depends upon a number of factors:

People must achieve a threshold of initial learning that is sufficient to support transfer. This obvious point is often overlooked and can lead to erroneous conclusions about the effectiveness of various instructional approaches. It takes time to learn complex subject matter, and assessments of transfer must take into account the degree to which original learning with understanding was accomplished.

Spending a lot of time (“time on task”) in and of itself is not sufficient to ensure effective learning. Practice and getting familiar with subject matter take time, but most important is how people use their time while

learning. Concepts such as “deliberate practice” emphasize the importance of helping students monitor their learning so that they seek feedback and actively evaluate their strategies and current levels of understanding. Such activities are very different from simply reading and rereading a text.

Learning with understanding is more likely to promote transfer than simply memorizing information from a text or a lecture. Many classroom activities stress the importance of memorization over learning with understanding. Many, as well, focus on facts and details rather than larger themes of causes and consequences of events. The shortfalls of these approaches are not apparent if the only test of learning involves tests of memory, but when the transfer of learning is measured, the advantages of learning with understanding are likely to be revealed.

Knowledge that is taught in a variety of contexts is more likely to support flexible transfer than knowledge that is taught in a single context. Information can become “context-bound” when taught with context-specific examples. When material is taught in multiple contexts, people are more likely to extract the relevant features of the concepts and develop a more flexible representation of knowledge that can be used more generally.

Students develop flexible understanding of when, where, why, and how to use their knowledge to solve new problems if they learn how to extract underlying themes and principles from their learning exercises. Understanding how and when to put knowledge to use—known as conditions of applicability—is an important characteristic of expertise. Learning in multiple contexts most likely affects this aspect of transfer.

Transfer of learning is an active process. Learning and transfer should not be evaluated by “one-shot” tests of transfer. An alternative assessment approach is to consider how learning affects subsequent learning, such as increased speed of learning in a new domain. Often, evidence for positive transfer does not appear until people have had a chance to learn about the new domain—and then transfer occurs and is evident in the learner’s ability to grasp the new information more quickly.

All learning involves transfer from previous experiences. Even initial learning involves transfer that is based on previous experiences and prior knowledge. Transfer is not simply something that may or may not appear after initial learning has occurred. For example, knowledge relevant to a particular task may not automatically be activated by learners and may not serve as a source of positive transfer for learning new information. Effective teachers attempt to support positive transfer by actively identifying the strengths that students bring to a learning situation and building on them, thereby building bridges between students’ knowledge and the learning objectives set out by the teacher.

Sometimes the knowledge that people bring to a new situation impedes subsequent learning because it guides thinking in wrong directions.

For example, young children’s knowledge of everyday counting-based arithmetic can make it difficult for them to deal with rational numbers (a larger number in the numerator of a fraction does not mean the same thing as a larger number in the denominator); assumptions based on everyday physical experiences can make it difficult for students to understand physics concepts (they think a rock falls faster than a leaf because everyday experiences include other variables, such as resistance, that are not present in the vacuum conditions that physicists study), and so forth. In these kinds of situations, teachers must help students change their original conceptions rather than simply use the misconceptions as a basis for further understanding or leaving new material unconnected to current understanding.

Competent and Expert Performance

Cognitive science research has helped us understand how learners develop a knowledge base as they learn. An individual moves from being a novice in a subject area toward developing competency in that area through a series of learning processes. An understanding of the structure of knowledge provides guidelines for ways to assist learners acquire a knowledge base effectively and efficiently. Eight factors affect the development of expertise and competent performance:

Relevant knowledge helps people organize information in ways that support their abilities to remember.

Learners do not always relate the knowledge they possess to new tasks, despite its potential relevance. This “disconnect” has important implications for understanding differences between usable knowledge (which is the kind of knowledge that experts have developed) and less-organized knowledge, which tends to remain “inert.”

Relevant knowledge helps people to go beyond the information given and to think in problem representations, to engage in the mental work of making inferences, and to relate various kinds of information for the purpose of drawing conclusions.

An important way that knowledge affects performances is through its influences on people’s representations of problems and situations. Different representations of the same problem can make it easy, difficult, or impossible to solve.

The sophisticated problem representations of experts are the result of well-organized knowledge structures. Experts know the conditions of applicability of their knowledge, and they are able to access the relevant knowledge with considerable ease.

Different domains of knowledge, such as science, mathematics, and history, have different organizing properties. It follows, therefore, that to

have an in-depth grasp of an area requires knowledge about both the content of the subject and the broader structural organization of the subject.

Competent learners and problem solvers monitor and regulate their own processing and change their strategies as necessary. They are able to make estimates and “educated guesses.”

The study of ordinary people under everyday cognition provides valuable information about competent cognitive performances in routine settings. Like the work of experts, everyday competencies are supported by sets of tools and social norms that allow people to perform tasks in specific contexts that they often cannot perform elsewhere.

Conclusions

Everyone has understanding, resources, and interests on which to build. Learning a topic does not begin from knowing nothing to learning that is based on entirely new information. Many kinds of learning require transforming existing understanding, especially when one’s understanding needs to be applied in new situations. Teachers have a critical role in assisting learners to engage their understanding, building on learners’ understandings, correcting misconceptions, and observing and engaging with learners during the processes of learning.

This view of the interactions of learners with one another and with teachers derives from generalizations about learning mechanisms and the conditions that promote understanding. It begins with the obvious: learning is embedded in many contexts. The most effective learning occurs when learners transport what they have learned to various and diverse new situations. This view of learning also includes the not so obvious: young learners arrive at school with prior knowledge that can facilitate or impede learning. The implications for schooling are many, not the least of which is that teachers must address the multiple levels of knowledge and perspectives of children’s prior knowledge, with all of its inaccuracies and misconceptions.

Effective comprehension and thinking require a coherent understanding of the organizing principles in any subject matter; understanding the essential features of the problems of various school subjects will lead to better reasoning and problem solving; early competencies are foundational to later complex learning; self-regulatory processes enable self-monitoring and control of learning processes by learners themselves.

Transfer and wide application of learning are most likely to occur when learners achieve an organized and coherent understanding of the material; when the situations for transfer share the structure of the original

learning; when the subject matter has been mastered and practiced; when subject domains overlap and share cognitive elements; when instruction includes specific attention to underlying principles; and when instruction explicitly and directly emphasizes transfer.

Learning and understanding can be facilitated in learners by emphasizing organized, coherent bodies of knowledge (in which specific facts and details are embedded), by helping learners learn how to transfer their learning, and by helping them use what they learn.

In-depth understanding requires detailed knowledge of the facts within a domain. The key attribute of expertise is a detailed and organized understanding of the important facts within a specific domain. Education needs to provide children with sufficient mastery of the details of particular subject matters so that they have a foundation for further exploration within those domains.

Expertise can be promoted in learners. The predominant indicator of expert status is the amount of time spent learning and working in a subject area to gain mastery of the content. Secondarily, the more one knows about a subject, the easier it is to learn additional knowledge.

TEACHERS AND TEACHING

The portrait we have sketched of human learning and cognition emphasizes learning for in-depth comprehension. The major ideas that have transformed understanding of learning also have implications for teaching.

Teaching for In-Depth Learning

Traditional education has tended to emphasize memorization and mastery of text. Research on the development of expertise, however, indicates that more than a set of general problem-solving skills or memory for an array of facts is necessary to achieve deep understanding. Expertise requires well-organized knowledge of concepts, principles, and procedures of inquiry. Various subject disciplines are organized differently and require an array of approaches to inquiry. We presented a discussion of the three subject areas of history, mathematics, and science learning to illustrate how the structure of the knowledge domain guides both learning and teaching.

Proponents of the new approaches to teaching engage students in a variety of different activities for constructing a knowledge base in the subject domain. Such approaches involve both a set of facts and clearly defined principles. The teacher’s goal is to develop students’ understanding of a given topic, as well as to help them develop into independent and thoughtful problem solvers. One way to do this is by showing students that they already have relevant knowledge. As students work through different prob-

lems that a teacher presents, they develop their understanding into principles that govern the topic.

In mathematics for younger (first- and second-grade) students, for example, cognitively guided instruction uses a variety of classroom activities to bring number and counting principles into students’ awareness, including snack-time sharing for fractions, lunch count for number, and attendance for part-whole relationships. Through these activities, a teacher has many opportunities to observe what students know and how they approach solutions to problems, to introduce common misconceptions to challenge students’ thinking, and to present more advanced discussions when the students are ready.

For older students, model-based reasoning in mathematics is an effective approach. Beginning with the building of physical models, this approach develops abstract symbol system-based models, such as algebraic equations or geometry-based solutions. Model-based approaches entail selecting and exploring the properties of a model and then applying the model to answer a question that interests the student. This important approach emphasizes understanding over routine memorization and provides students with a learning tool that enables them to figure out new solutions as old ones become obsolete.

These new approaches to mathematics operate from knowledge that learning involves extending understanding to new situations, a guiding principle of transfer ( Chapter 3 ); that young children come to school with early mathematics concepts ( Chapter 4 ); that learners cannot always identify and call up relevant knowledge (Chapters 2 , 3 , and 4 ); and that learning is promoted by encouraging children to try out the ideas and strategies they bring with them to school-based learning ( Chapter 6 ). Students in classes that use the new approaches do not begin learning mathematics by sitting at desks and only doing computational problems. Rather, they are encouraged to explore their own knowledge and to invent strategies for solving problems and to discuss with others why their strategies work or do not work.

A key aspect of the new ways of teaching science is to focus on helping students overcome deeply rooted misconceptions that interfere with learning. Especially in people’s knowledge of the physical, it is clear that prior knowledge, constructed out of personal experiences and observations— such as the conception that heavy objects fall faster than light objects—can conflict with new learning. Casual observations are useful for explaining why a rock falls faster than a leaf, but they can lead to misconceptions that are difficult to overcome. Misconceptions, however, are also the starting point for new approaches to teaching scientific thinking. By probing students’ beliefs and helping them develop ways to resolve conflicting views, teachers can guide students to construct coherent and broad understandings of scientific concepts. This and other new approaches are major break-

throughs in teaching science. Students can often answer fact-based questions on tests that imply understanding, but misconceptions will surface as the students are questioned about scientific concepts.

Chèche Konnen (“search for knowledge” in Haitian Creole) was presented as an example of new approaches to science learning for grade school children. The approach focuses upon students’ personal knowledge as the foundations of sense-making. Further, the approach emphasizes the role of the specialized functions of language, including the students’ own language for communication when it is other than English; the role of language in developing skills of how to “argue” the scientific “evidence” they arrive at; the role of dialogue in sharing information and learning from others; and finally, how the specialized, scientific language of the subject matter, including technical terms and definitions, promote deep understanding of the concepts.

Teaching history for depth of understanding has generated new approaches that recognize that students need to learn about the assumptions any historian makes for connecting events and schemes into a narrative. The process involves learning that any historical account is a history and not the history. A core concept guiding history learning is how to determine, from all of the events possible to enumerate, the ones to single out as significant. The “rules for determining historical significance” become a lightening rod for class discussions in one innovative approach to teaching history. Through this process, students learn to understand the interpretative nature of history and to understand history as an evidentiary form of knowledge. Such an approach runs counter to the image of history as clusters of fixed names and dates that students need to memorize. As with the Chèche Konnen example of science learning, mastering the concepts of historical analysis, developing an evidentiary base, and debating the evidence all become tools in the history toolbox that students carry with them to analyze and solve new problems.

Expert Teachers

Expert teachers know the structure of the knowledge in their disciplines. This knowledge provides them with cognitive roadmaps to guide the assignments they give students, the assessments they use to gauge student progress, and the questions they ask in the give-and-take of classroom life. Expert teachers are sensitive to the aspects of the subject matter that are especially difficult and easy for students to grasp: they know the conceptual barriers that are likely to hinder learning, so they watch for these tell-tale signs of students’ misconceptions. In this way, both students’ prior knowledge and teachers’ knowledge of subject content become critical components of learners’ growth.

Subject-matter expertise requires well-organized knowledge of concepts and inquiry procedures. Similarly, studies of teaching conclude that expertise consists of more than a set of general methods that can be applied across all subject matter. These two sets of research-based findings contradict the common misconception about what teachers need to know in order to design effective learning environments for students. Both subject-matter knowledge and pedagogical knowledge are important for expert teaching because knowledge domains have unique structures and methods of inquiry associated with them.

Accomplished teachers also assess their own effectiveness with their students. They reflect on what goes on in the classroom and modify their teaching plans accordingly. Thinking about teaching is not an abstract or esoteric activity. It is a disciplined, systematic approach to professional development. By reflecting on and evaluating one’s own practices, either alone or in the company of a critical colleague, teachers develop ways to change and improve their practices, like any other opportunity for learning with feedback.

Teachers need expertise in both subject matter content and in teaching.

Teachers need to develop understanding of the theories of knowledge (epistemologies) that guide the subject-matter disciplines in which they work.

Teachers need to develop an understanding of pedagogy as an intellectual discipline that reflects theories of learning, including knowledge of how cultural beliefs and the personal characteristics of learners influence learning.

Teachers are learners and the principles of learning and transfer for student learners apply to teachers.

Teachers need opportunities to learn about children’s cognitive development and children’s development of thought (children’s epistemologies) in order to know how teaching practices build on learners’ prior knowledge.

Teachers need to develop models of their own professional development that are based on lifelong learning, rather than on an “updating” model of learning, in order to have frameworks to guide their career planning.

LEARNING ENVIRONMENTS

Tools of technology.

Technology has become an important instrument in education. Computer-based technologies hold great promise both for increasing access to knowledge and as a means of promoting learning. The public imagination has been captured by the capacity of information technologies to centralize and organize large bodies of knowledge; people are excited by the prospect of information networks, such as the Internet, for linking students around the globe into communities of learners.

There are five ways that technology can be used to help meet the challenges of establishing effective learning environments:

Bringing real-world problems into classrooms through the use of videos, demonstrations, simulations, and Internet connections to concrete data and working scientists.

Providing “scaffolding” support to augment what learners can do and reason about on their path to understanding. Scaffolding allows learners to participate in complex cognitive performances, such as scientific visualization and model-based learning, that is more difficult or impossible without technical support.

Increasing opportunities for learners to receive feedback from software tutors, teachers, and peers; to engage in reflection on their own learning processes; and to receive guidance toward progressive revisions that improve their learning and reasoning.

Building local and global communities of teachers, administrators, students, parents, and other interested learners.

Expanding opportunities for teachers’ learning.

An important function of some of the new technologies is their use as tools of representation. Representational thinking is central to in-depth understanding and problem representation is one of the skills that distinguish subject experts from novices. Many of the tools also have the potential to provide multiple contexts and opportunities for learning and transfer, for both student-learners and teacher-learners. Technologies can be used as learning and problem-solving tools to promote both independent learning and collaborative networks of learners and practitioners.

The use of new technologies in classrooms, or the use of any learning aid for that matter, is never solely a technical matter. The new electronic technologies, like any other educational resource, are used in a social environment and are, therefore, mediated by the dialogues that students have with each other and the teacher.

Educational software needs to be developed and implemented with a full understanding of the principles of learning and developmental psychology. Many new issues arise when one considers how to educate teachers to use new technologies effectively: What do they need to know about learning processes? What do they need to know about the technologies? What kinds of training are most effective for helping teachers use high-quality instructional programs? Understanding the issues that affect teachers who will be using new technologies is just as pressing as questions of the learning potential and developmental appropriateness of the technologies for children.

Assessment to Support Learning

Assessment and feedback are crucial for helping people learn. Assessment that is consistent with principles of learning and understanding should:

Mirror good instruction.

Happen continuously, but not intrusively, as a part of instruction.

Provide information (to teachers, students, and parents) about the levels of understanding that students are reaching.

Assessment should reflect the quality of students’ thinking, as well as what specific content they have learned. For this purpose, achievement measurement must consider cognitive theories of performance. Frameworks that integrate cognition and context in assessing achievement in science, for example, describe performance in terms of the content and process task demands of the subject matter and the nature and extent of cognitive activities likely to be observed in a particular assessment situation. The frameworks provide a basis for examining performance assessments that are designed to measure reasoning, understanding, and complex problem solving.

The nature and purposes of an assessment also influence the specific cognitive activities that are expressed by the student. Some assessment tasks emphasize a particular performance, such as explanation, but deemphasize others, such as self-monitoring. The kind and quality of cognitive activities observed in an assessment situation are functions of the content and process demands of the tasks involved. Similarly, the task demands for process skills can be conceived along a continuum from constrained to open. In open situations, explicit directions are minimized in order to see how students generate and carry out appropriate process skills as they solve problems. Characterizing assessments in terms of components of competence and the content and process demands of the subject matter brings specificity to assessment objectives, such as “higher level thinking” and “deep understanding.” This approach links specific content with the

underlying cognitive processes and the performance objectives that the teacher has in mind. With articulated objectives and an understanding of the correspondence between task features and cognitive activities, the content and process demands of tasks are brought into alignment with the performance objectives.

Effective teachers see assessment opportunities in ongoing classroom learning situations. They continually attempt to learn about students’ thinking and understanding and make it relevant to current learning tasks. They do a great deal of on-line monitoring of both group work and individual performances, and they attempt to link current activities to other parts of the curriculum and to students’ daily life experiences.

Students at all levels, but increasingly so as they progress through the grades, focus their learning attention and energies on the parts of the curriculum that are assessed. In fact, the art of being a good student, at least in the sense of getting good grades, is tied to being able to anticipate what will be tested. This means that the information to be tested has the greatest influence on guiding students’ learning. If teachers stress the importance of understanding but then test for memory of facts and procedures, it is the latter that students will focus on. Many assessments developed by teachers overemphasize memory for procedures and facts; expert teachers, by contrast, align their assessment practices with their instructional goals of depth-of-understanding.

Learning and Connections to Community

Outside of formal school settings, children participate in many institutions that foster their learning. For some of these institutions, promoting learning is part of their goals, including after-school programs, as in such organizations as Boy and Girl Scout Associations and 4–H Clubs, museums, and religious education. In other institutions or activities, learning is more incidental, but learning takes place nevertheless. These learning experiences are fundamental to children’s—and adults’ —lives since they are embedded in the culture and the social structures that organize their daily activities. None of the following points about the importance of out-of-school learning institutions, however, should be taken to deemphasize the central role of schools and the kinds of information that can be most efficiently and effectively taught there.

A key environment for learning is the family. In the United States, many families hold a learning agenda for their children and seek opportunities for their children to engage with the skills, ideas, and information in their communities. Even when family members do not focus consciously on instructional roles, they provide resources for children’s learning that are relevant to school and out-of-school ideas through family activities, the funds of

knowledge available within extended families and their communities, and the attitudes that family members display toward the skills and values of schooling.

The success of the family as a learning environment, especially in the early years, has provided inspiration and guidance for some of the changes recommended in schools. The rapid development of children from birth to ages 4 or 5 is generally supported by family interactions in which children learn by observing and interacting with others in shared endeavors. Conversations and other interactions that occur around events of interest with trusted and skilled adults and child companions are especially powerful environments for learning. Many of the recommendations for changes in schools can be seen as extensions of the learning activities that occur within families. In addition, recommendations to include families in classroom activities and educational planning hold promise of bringing together two powerful systems for supporting children’s learning.

Classroom environments are positively influenced by opportunities to interact with parents and community members who take interest in what they are doing. Teachers and students more easily develop a sense of community as they prepare to discuss their projects with people who come from outside the school and its routines. Outsiders can help students appreciate similarities and differences between classroom environments and everyday environments; such experiences promote transfer of learning by illustrating the many contexts for applying what they know.

Parents and business leaders represent examples of outside people who can have a major impact on student learning. Broad-scale participation in school-based learning rarely happens by accident. It requires clear goals and schedules and relevant curricula that permit and guide adults in ways to help children learn.

Designing effective learning environments includes considering the goals for learning and goals for students. This comparison highlights the fact that there are various means for approaching goals of learning, and furthermore, that goals for students change over time. As goals and objectives have changed, so has the research base on effective learning and the tools that students use. Student populations have also shifted over the years. Given these many changes in student populations, tools of technology, and society’s requirements, different curricula have emerged along with needs for new pedagogical approaches that are more child-centered and more culturally sensitive, all with the objectives of promoting effective learning and adaptation (transfer). The requirement for teachers to meet such a diversity of challenges also illustrates why assessment needs to be a tool to help teach-

ers determine if they have achieved their objectives. Assessment can guide teachers in tailoring their instruction to individual students’ learning needs and, collaterally, inform parents of their children’s progress.

Supportive learning environments, which are the social and organizational structures in which students and teachers operate, need to focus on the characteristics of classroom environments that affect learning; the environments as created by teachers for learning and feedback; and the range of learning environments in which students participate, both in and out of school.

Classroom environments can be positively influenced by opportunities to interact with others who affect learners, particularly families and community members, around school-based learning goals.

New tools of technology have the potential of enhancing learning in many ways. The tools of technology are creating new learning environments, which need to be assessed carefully, including how their use can facilitate learning, the types of assistance that teachers need in order to incorporate the tools into their classroom practices, the changes in classroom organization that are necessary for using technologies, and the cognitive, social, and learning consequences of using these new tools.

First released in the Spring of 1999, How People Learn has been expanded to show how the theories and insights from the original book can translate into actions and practice, now making a real connection between classroom activities and learning behavior. This edition includes far-reaching suggestions for research that could increase the impact that classroom teaching has on actual learning.

Like the original edition, this book offers exciting new research about the mind and the brain that provides answers to a number of compelling questions. When do infants begin to learn? How do experts learn and how is this different from non-experts? What can teachers and schools do-with curricula, classroom settings, and teaching methods—to help children learn most effectively? New evidence from many branches of science has significantly added to our understanding of what it means to know, from the neural processes that occur during learning to the influence of culture on what people see and absorb.

How People Learn examines these findings and their implications for what we teach, how we teach it, and how we assess what our children learn. The book uses exemplary teaching to illustrate how approaches based on what we now know result in in-depth learning. This new knowledge calls into question concepts and practices firmly entrenched in our current education system.

Topics include:

• How learning actually changes the physical structure of the brain.
• How existing knowledge affects what people notice and how they learn.
• What the thought processes of experts tell us about how to teach.
• The amazing learning potential of infants.
• The relationship of classroom learning and everyday settings of community and workplace.
• Learning needs and opportunities for teachers.
• A realistic look at the role of technology in education.

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3 The learning process

When my son Michael was old enough to talk, and being an eager but naïve dad, I decided to bring Michael to my educational psychology class to demonstrate to my students “how children learn”. In one task I poured water from a tall drinking glass to a wide glass pie plate, which according to Michael changed the “amount” of water—there was less now than it was in the pie plate. I told him that, on the contrary, the amount of water had stayed the same whether it was in the glass or the pie plate. He looked at me a bit strangely, but complied with my point of view—agreeing at first that, yes, the amount had stayed the same. But by the end of the class session he had reverted to his original position: there was less water, he said, when it was poured into the pie plate compared to being poured into the drinking glass. So much for demonstrating “learning”!

(Kelvin Seifert)

Learning is generally defined as relatively permanent changes in behavior, skills, knowledge, or attitudes resulting from identifiable psychological or social experiences. A key feature is permanence: changes do not count as learning if they are temporary. You do not “learn” a phone number if you forget it the minute after you dial the number; you do not “learn” to eat vegetables if you only do it when forced. The change has to last. Notice, though, that learning can be physical, social, or emotional as well as cognitive. You do not “learn” to sneeze simply by catching cold, but you do learn many skills and behaviors that are physically based, such as riding a bicycle or throwing a ball. You can also learn to like (or dislike) a person, even though this change may not happen deliberately.

Each year after that first visit to my students, while Michael was still a preschooler, I returned with him to my ed-psych class to do the same “learning demonstrations”. And each year Michael came along happily, but would again fail the task about the drinking glass and the pie plate. He would comply briefly if I “suggested” that the amount of water stayed the same no matter which way it was poured, but in the end he would still assert that the amount had changed. He was not learning this bit of conventional knowledge, in spite of my repeated efforts.

But the year he turned six, things changed. When I told him it was time to visit my ed-psych class again, he readily agreed and asked: “Are you going to ask me about the water in the drinking glass and pie plate again?” I said yes, I was indeed planning to do that task again. “That’s good”, he responded, “because I know that the amount stays the same even after you pour it. But do you want me to fake it this time? For your students’ sake?”

Teachers’ perspectives on learning

For teachers, learning usually refers to things that happen in schools or classrooms, even though every teacher can of course describe examples of learning that happen outside of these places. Even Michael, at age 6, had begun realizing that what counted as “learning” in his dad’s educator-type mind was something that happened in a classroom, under the supervision of a teacher (me). For me, as for many educators, the term has a more specific meaning than for many people less involved in schools. In particular, teachers’ perspectives on learning often emphasize three ideas, and sometimes even take them for granted: (1) curriculum content and academic achievement, (2) sequencing and readiness, and (3) the importance of transferring learning to new or future situations.

Viewing learning as dependent on curriculum

When teachers speak of learning, they tend to emphasize whatever is taught in schools deliberately, including both the official curriculum and the various behaviors and routines that make classrooms run smoothly. In practice, defining learning in this way often means that teachers equate learning with the major forms of academic achievement—especially language and mathematics—and to a lesser extent musical skill, physical coordination, or social sensitivity (Gardner, 1999, 2006). The imbalance occurs not because the goals of public education make teachers responsible for certain content and activities (like books and reading) and the skills which these activities require (like answering teachers’ questions and writing essays). It does happen not (thankfully!) because teachers are biased, insensitive, or unaware that students often learn a lot outside of school.

A side effect of thinking of learning as related only to curriculum or academics is that classroom social interactions and behaviors become issues for teachers—become things that they need to manage. In particular, having dozens of students in one room makes it more likely that I, as a teacher, think of “learning” as something that either takes concentration (to avoid being distracted by others) or that benefits from collaboration (to take advantage of their presence). In the small space of a classroom, no other viewpoint about social interaction makes sense. Yet in the wider world outside of school, learning often does happen incidentally, “accidentally” and without conscious interference or input from others: I “learn” what a friend’s personality is like, for example, without either of us deliberately trying to make this happen. As teachers, we sometimes see incidental learning in classrooms as well, and often welcome it; but our responsibility for curriculum goals more often focuses our efforts on what students can learn through conscious, deliberate effort. In a classroom, unlike in many other human settings, it is always necessary to ask whether classmates are helping or hindering individual students’ learning.

Focusing learning on changes in classrooms has several other effects. One, for example, is that it can tempt teachers to think that what is taught is equivalent to what is learned—even though most teachers know that doing so is a mistake, and that teaching and learning can be quite different. If I assign a reading to my students about the Russian Revolution, it would be nice to assume not only that they have read the same words, but also learned the same content. But that assumption is not usually the reality. Some students may have read and learned all of what I assigned; others may have read everything but misunderstood the material or remembered only some of it; and still others, unfortunately, may have neither read nor learned much of anything. Chances are that my students would confirm this picture, if asked confidentially. There are ways, of course, to deal helpfully with such diversity of outcomes; for suggestions, see especially Chapter 11 “Planning instruction” and Chapter 12 “Teacher-made assessment strategies”. But whatever instructional strategies I adopt, they cannot include assuming that what I teach is the same as what students understand or retain of what I teach.

Viewing learning as dependent on sequencing and readiness

The distinction between teaching and learning creates a secondary issue for teachers, that of educational readiness . Traditionally the concept referred to students’ preparedness to cope with or profit from the activities and expectations of school. A kindergarten child was “ready” to start school, for example, if he or she was in good health, showed moderately good social skills, could take care of personal physical needs (like eating lunch or going to the bathroom unsupervised), could use a pencil to make simple drawings, and so on. Table 2   shows a similar set of criteria for determining whether a child is “ready” to learn to read (Copple & Bredekamp, 2006). At older ages (such as in high school or university), the term readiness is often replaced by a more specific term, prerequisites. To take a course in physics, for example, a student must first have certain prerequisite experiences, such as studying advanced algebra or calculus. To begin work as a public school teacher, a person must first engage in practice teaching for a period of time (not to mention also studying educational psychology!).

Table 2: Reading readiness in students vs in teachers

Note that this traditional meaning, of readiness as preparedness, focuses attention on students’ adjustment to school and away from the reverse: the possibility that schools and teachers also have a responsibility for adjusting to students. But the latter idea is in fact a legitimate, second meaning for readiness: If 5-year-old children normally need to play a lot and keep active, then it is fair to say that their kindergarten teacher needs to be “ready” for this behavior by planning for a program that allows a lot of play and physical activity. If she cannot or will not do so (whatever the reason may be), then in a very real sense this failure is not the children’s responsibility. Among older students, the second, teacher-oriented meaning of readiness makes sense as well. If a teacher has a student with a disability (for example, the student is visually impaired), then the teacher has to adjust her approach in appropriate ways—not simply expect a visually impaired child to “sink or swim”. As you might expect, this sense of readiness is very important for special education, so I discuss it further in Chapter 6 “Students with special educational needs”. But the issue of readiness also figures importantly whenever students are diverse (which is most of the time), so it also comes up in Chapter 5 “Student diversity”.

Viewing transfer as a crucial outcome of learning

Still another result of focusing the concept of learning on classrooms is that it raises issues of usefulness or transfer, which is the ability to use knowledge or skill in situations beyond the ones in which they are acquired. Learning to read and learning to solve arithmetic problems, for example, are major goals of the elementary school curriculum because those skills are meant to be used not only inside the classroom, but outside as well. We teachers intend, that is, for reading and arithmetic skills to “transfer”, even though we also do our best to make the skills enjoyable while they are still being learned. In the world inhabited by teachers, even more than in other worlds, making learning fun is certainly a good thing to do, but making learning useful as well as fun is even better. Combining enjoyment and usefulness, in fact, is a “gold standard” of teaching: we generally seek it for students, even though we may not succeed at providing it all of the time.

Major theories and models of learning

Several ideas and priorities, then, affect how we teachers think about learning, including the curriculum, the difference between teaching and learning, sequencing, readiness, and transfer. The ideas form a “screen” through which to understand and evaluate whatever psychology has to offer education. As it turns out, many theories, concepts, and ideas from educational psychology do make it through the “screen” of education, meaning that they are consistent with the professional priorities of teachers and helpful in solving important problems of classroom teaching. In the case of issues about classroom learning, for example, educational psychologists have developed a number of theories and concepts that are relevant to classrooms, in that they describe at least some of what usually happens there and offer guidance for assisting learning. It is helpful to group the theories according to whether they focus on changes in behavior or in thinking. The distinction is rough and inexact, but a good place to begin. For starters, therefore, consider two perspectives about learning, called behaviorism (learning as changes in overt behavior) and constructivism, (learning as changes in thinking). The second category can be further divided into psychological constructivism (changes in thinking resulting from individual experiences), and social constructivism, (changes in thinking due to assistance from others). The rest of this chapter describes key ideas from each of these viewpoints. As I hope you will see, each describes some aspects of learning not just in general, but as it happens in classrooms in particular. So each perspective suggests things that you might do in your classroom to make students’ learning more productive.

Behaviorism: changes in what students do

Behaviorism is a perspective on learning that focuses on changes in individuals’ observable behaviors— changes in what people say or do. At some point we all use this perspective, whether we call it “behaviorism” or something else. The first time that I drove a car, for example, I was concerned primarily with whether I could actually do the driving, not with whether I could describe or explain how to drive. For another example: when I reached the point in life where I began cooking meals for myself, I was more focused on whether I could actually produce edible food in a kitchen than with whether I could explain my recipes and cooking procedures to others. And still another example—one often relevant to new teachers: when I began my first year of teaching, I was more focused on doing the job of teaching—on day-to-day survival—than on pausing to reflect on what I was doing.

Note that in all of these examples, focusing attention on behavior instead of on “thoughts” may have been desirable at that moment, but not necessarily desirable indefinitely or all of the time. Even as a beginner, there are times when it is more important to be able to describe how to drive or to cook than to actually do these things. And there definitely are many times when reflecting on and thinking about teaching can improve teaching itself. (As a teacher-friend once said to me: “Don’t just do something; stand there!”) But neither is focusing on behavior which is not necessarily less desirable than focusing on students’ “inner” changes, such as gains in their knowledge or their personal attitudes. If you are teaching, you will need to attend to all forms of learning in students, whether inner or outward.

In classrooms, behaviorism is most useful for identifying relationships between specific actions by a student and the immediate precursors and consequences of the actions. It is less useful for understanding changes in students’ thinking; for this purpose we need a more cognitive (or thinking-oriented) theory, like the ones described later in this chapter. This fact is not really a criticism of behaviorism as a perspective, but just a clarification of its particular strength or source of usefulness, which is to highlight observable relationships among actions, precursors and consequences. Behaviorists use particular terms (or “lingo”, some might say) for these relationships. They also rely primarily on two basic images or models of behavioral learning, called respondent (or “classical”) conditioning and operant conditioning. The names are derived partly from the major learning mechanisms highlighted by each type, which I describe next.

Respondent conditioning: learning new associations with prior behaviors

As originally conceived, respondent conditioning (sometimes also called classical conditioning) begins with the involuntary responses to particular sights, sounds, or other sensations (Lavond, 2003). When I receive an injection from a nurse or doctor, for example, I cringe, tighten my muscles, and even perspire a bit. Whenever a contented, happy baby looks at me, on the other hand, I invariably smile in response. I cannot help myself in either case; both of the responses are automatic. In humans as well as other animals, there is a repertoire or variety of such specific, involuntary behaviors. At the sound of a sudden loud noise, for example, most of us show a “startle” response—we drop what we are doing (sometimes literally!), our heart rate shoots up temporarily, and we look for the source of the sound. Cats, dogs and many other animals (even fish in an aquarium) show similar or equivalent responses.

Involuntary stimuli and responses were first studied systematically early in the twentieth-century by the Russian scientist Ivan Pavlov (1927). Pavlov’s most well-known work did not involve humans, but dogs, and specifically their involuntary tendency to salivate when eating. He attached a small tube to the side of dogs’ mouths that allowed him to measure how much the dogs salivated when fed ( Exhibit 1 shows a photograph of one of Pavlov’s dogs). But he soon noticed a “problem” with the procedure: as the dogs gained experience with the experiment, they often salivated before they began eating. In fact the most experienced dogs sometimes began salivating before they even saw any food, simply when Pavlov himself entered the room! The sight of the experimenter, which had originally been a neutral experience for the dogs, became associated with the dogs’ original salivation response. Eventually, in fact, the dogs would salivate at the sight of Pavlov even if he did not feed them.

This change in the dogs’ involuntary response, and especially its growing independence from the food as stimulus, eventually became the focus of Pavlov’s research. Psychologists named the process respondent conditioning because it describes changes in responses to stimuli (though some have also called it “classical conditioning” because it was historically the first form of behavioral learning to be studied systematically). Respondent conditioning has several elements, each with a special name. To understand these, look at and imagine a dog (perhaps even mine, named Ginger) prior to any conditioning. At the beginning Ginger salivates (an unconditioned response (UR) ) only when she actually tastes her dinner (an unconditioned stimulus (US) ). As time goes by, however, a neutral stimulus—such as the sound of opening a bag containing fresh dog food

—is continually paired with the eating/tasting experience. Eventually the neutral stimulus becomes able to elicit salivation even before any dog food is offered to Ginger, or even if the bag of food is empty! At this point the neutral stimulus is called a conditioned stimulus (UCS) and the original response is renamed as a conditioned response (CR). Now, after conditioning, Ginger salivates merely at the sound of opening any large bag, regardless of its contents. (I might add that Ginger also engages in other conditioned responses, such as looking hopeful and following me around the house at dinner time.)

Exhibit 1: Classical conditioning of Ginger, the dog. Before conditioning, Ginger salivates only to the taste of food and the bell has no effect. After conditioning, she salivates even when the bell is presented by itself.

Respondent Conditioning and Students

“OK,” you may be thinking, “Respondent conditioning may happen to animals. But does anything like it happen in classrooms?” It might seem like not much would, since teaching is usually about influencing students’ conscious words and thoughts, and not their involuntary behaviors. But remember that schooling is not just about encouraging thinking and talking. Teachers, like parents and the public, also seek positive changes in students’ attitudes and feelings—attitudes like a love for learning, for example, and feelings like self-confidence. It turns out that respondent conditioning describes these kinds of changes relatively well.  Consider, for example, a child who responds happily whenever meeting a new person who is warm and friendly, but who also responds cautiously or at least neutrally in any new situation. Suppose further that the “new, friendly person” in question is you, his teacher. Initially the child’s response to you is like an unconditioned stimulus: you smile (the unconditioned stimulus) and in response he perks up, breathes easier, and smiles (the unconditioned response). This exchange is not the whole story, however, but merely the setting for an important bit of behavior change: suppose you smile at him while standing in your classroom, a “new situation” and therefore one to which he normally responds cautiously. Now respondent learning can occur. The initially neutral stimulus (your classroom) becomes associated repeatedly with the original unconditioned stimulus (your smile) and the child’s unconditioned response (his smile). Eventually, if all goes well, the classroom becomes a conditioned stimulus in its own right: it can elicit the child’s smiles and other “happy behaviors” even without your immediate presence or stimulus. Exhibit 2 diagrams the situation graphically. When the change in behavior happens, you might say that the child has “learned” to like being in your classroom. Truly a pleasing outcome for both of you!

Exhibit 2: Respondent conditioning of student to classroom.

Before Conditioning:

(UCS)  Seeing Teacher Smile →       Student Smiles (UR) (UCS) Seeing Classroom    → No response (UR)

During Conditioning:

Seeing Teaching Smile + Seeing Classroom → Student Smiles

After Conditioning:

(CS) Seeing Classroom → Student Smiles (CR)

Exhibit 2: Respondent conditioning of student to classroom. Before conditioning, the student smiles only when he sees the teacher smile, and the sight of the classroom has no effect. After conditioning, the student smiles at the sight of the classroom even without the teacher present.

But less positive or desirable examples of respondent conditioning also can happen. Consider a modification of the example that I just gave. Suppose the child that I just mentioned did not have the good fortune of being placed in your classroom. Instead he found himself with a less likeable teacher, whom we could simply call Mr Horrible. Instead of smiling a lot and eliciting the child’s unconditioned “happy response”, Mr Horrible often frowns and scowls at the child. In this case, therefore, the child’s initial unconditioned response is negative: whenever Mr Horrible directs a frown or scowl at the child, the child automatically cringes a little, his eyes widen in fear, and his heart beat races. If the child sees Mr Horrible doing most of his frowning and scowling in the classroom, eventually the classroom itself will acquire power as a negative conditioned stimulus. Eventually, that is, the child will not need Mr Horrible to be present in order to feel apprehensive; simply being in the classroom will be enough. Exhibit 3 diagrams this unfortunate situation. Obviously it is an outcome to be avoided, and in fact does not usually happen in such an extreme way. But hopefully it makes the point: any stimulus that is initially neutral, but that gets associated with an unconditioned stimulus and response, can eventually acquire the ability to elicit the response by itself. Anything —whether it is desirable or not.

Exhibit 3: Respondent conditioning of student to classroom.

( UCS) Mr Horrible Frowns → Student Cringes (UCR)

Mr Horrible’s Classroom → No response

Mr Horrible Frowns + Sight of Classroom → Student Cringes

( CS) Seeing Classroom → Student Cringes ( CR)

Exhibit 3: Respondent conditioning of student to classroom. Before conditioning, the student cringes only when he sees Mr Horrible smile, and the sight of the classroom has no effect. After conditioning, the student cringes at the sight of the classroom even without Mr Horrible present.

The changes described in these two examples are important because they can affect students’ attitude about school, and therefore also their motivation to learn. In the positive case, the child becomes more inclined to please the teacher and to attend to what he or she has to offer; in the negative case, the opposite occurs. Since the changes in attitude happen “inside” the child, they are best thought of as one way that a child can acquire i intrinsic motivation , meaning a desire or tendency to direct attention and energy in a particular way that originates from the child himself or herself. Intrinsic motivation is sometimes contrasted to extrinsic motivation, a tendency to direct attention and energy that originates from outside of the child. As we will see, classical conditioning can influence students’ intrinsic motivation in directions that are either positive or negative. As you might suspect, there are other ways to influence motivation as well. Many of these are described in Chapter 7 (“Student motivation”). First, though, let us look at three other features of classical conditioning that complicate the picture a bit, but also render conditioning a bit more accurate, an appropriate description of students’ learning.

Three key ideas about respondent conditioning

Extinction: This term does not refer to the fate of dinosaurs, but to the disappearance of a link between the conditioned stimulus and the conditioned response. Imagine a third variation on the conditioning “story” described above. Suppose, as I suggested above, that the child begins by associating your happy behaviors—your smiles—to his being present in the classroom, so that the classroom itself becomes enough to elicit his own smiles. But now suppose there is a sad turn of events: you become sick and must therefore leave the classroom in the middle of the school year. A substitute is called in who is not Mr Horrible, but simply someone who is not very expressive, someone we can call Ms Neutral. At first the child continues to feel good (that is, to smile) whenever present in the classroom. But because the link between the classroom and your particular smile is no longer repeated or associated, the child’s response gradually extinguishes, or fades until it has disappeared entirely. In a sense the child’s initial learning is “unlearned”. Extinction can also happen with negative examples of classical conditioning. If Mr Horrible leaves mid-year (perhaps because no one could stand working with him any longer!), then the child’s negative responses (cringing, eyes widening, heart beat racing, and so on) will also extinguish eventually. Note, though, that whether the conditioned stimulus is positive or negative, extinction does not happen suddenly or immediately, but unfolds over time. This fact can sometimes obscure the process if you are a busy teacher attending to many students.

Generalization: When Pavlov studied conditioning in dogs, he noticed that the original conditioned stimulus was not the only neutral stimulus that elicited the conditioned response. If he paired a particular bell with the sight of food, for example, so that the bell became a conditioned stimulus for salivation, then it turned out that other bells, perhaps with a different pitch or type or sound, also acquired some ability to trigger salivation—though not as much as the original bell. Psychologists call this process generalization, or the tendency for similar stimuli to elicit a conditioned response. The child being conditioned to your smile, for example, might learn to associate your smile not only with being present in your classroom, but also to being present in other, similar classrooms. His conditioned smiles may be strongest where he learned them initially (that is, in your own room), but nonetheless visible to a significant extent in other teachers’ classrooms. To the extent that this happens, he has generalized his learning. It is of course good news; it means that we can say that the child is beginning to “learn to like school” in general, and not just your particular room. Unfortunately, the opposite can also happen: if a child learns negative associations from Mr Horrible, the child’s fear, caution, and stress might generalize to other classrooms as well. The lesson for teachers is therefore clear: we have a responsibility, wherever possible, to make classrooms pleasant places to be.

Discrimination: Generalization among similar stimuli can be reduced if only one of the similar stimuli is associated consistently with the unconditioned response, while the others are not. When this happens, psychologists say that discrimination learning has occurred, meaning that the individual has learned to distinguish or respond differently to one stimulus than to another. From an educational point of view, discrimination learning can be either desirable or not, depending on the particulars of the situation. Imagine again (for the fourth time!) the child who learns to associate your classroom with your smiles, so that he eventually produces smiles of his own whenever present in your room. But now imagine yet another variation on his story: the child is old enough to attend middle school, and therefore has several teachers across the day. You—with your smiles—are one, but so are Mr Horrible and Ms Neutral. At first the child may generalize his classically conditioned smiles to the other teachers’ classrooms. But the other teachers do not smile like you do, and this fact causes the child’s smiling to extinguish somewhat in their rooms. Meanwhile, you keep smiling in your room. Eventually the child is smiling only in your room and not in the other rooms. When this happens, we say that discrimination has occurred, meaning that the conditioned associations happen only to a single version of the unconditioned stimuli— in this case, only to your smiles, and not to the (rather rare) occurrences of smiles in the other classrooms. Judging by his behavior, the child is making a distinction between your room and others.

In one sense the discrimination in this story is unfortunate in that it prevents the child from acquiring a liking for school that is generalized. But notice that an opposing, more desirable process is happening at the same time: the child is also prevented from acquiring a generalized dislike of school. The fear-producing stimuli from Mr Horrible, in particular, become discriminated from the happiness-producing smiles from you, so the child’s learns to confine his fearful responses to that particular classroom, and does not generalize them to other “innocent” classrooms, including your own. This is still not an ideal situation for the student, but maybe it is more desirable than disliking school altogether.

Operant conditioning: new behaviors because of new consequences

Instead of focusing on associations between stimuli and responses, operant conditioning focuses on how the effects of consequences on behaviors. The operant model of learning begins with the idea that certain consequences tend to make certain behaviors happen more frequently. If I compliment a student for a good comment during a discussion, there is more of a chance that I will hear comments from the student more often in the future (and hopefully they will also be good ones!). If a student tells a joke to several classmates and they laugh at it, then the student is more likely to tell additional jokes in the future and so on.

As with respondent conditioning, the original research about this model of learning was not done with people, but with animals. One of the pioneers in the field was a Harvard professor named B. F. Skinner, who published numerous books and articles about the details of the process and who pointed out many parallels between operant conditioning in animals and operant conditioning in humans (1938, 1948, 1988). Skinner observed the behavior of rather tame laboratory rats (not the unpleasant kind that sometimes live in garbage dumps). He or his assistants would put them in a cage that contained little except a lever and a small tray just big enough to hold a small amount of food. ( Exhibit 4 shows the basic set-up, which is sometimes nicknamed a “Skinner box”.) At first the rat would sniff and “putter around” the cage at random, but sooner or later it would happen upon the lever and eventually happen to press it. Presto! The lever released a small pellet of food, which the rat would promptly eat. Gradually the rat would spend more time near the lever and press the lever more frequently, getting food more frequently.

Eventually it would spend most of its time at the lever and eating its fill of food. The rat had “discovered” that the consequence of pressing the level was to receive food. Skinner called the changes in the rat’s behavior an example of operant conditioning, and gave special names to the different parts of the process. He called the food pellets the reinforcement and the lever-pressing the operant (because it “operated” on the rat’s environment). See below.

Exhibit 4: Operant conditioning with a laboratory rat

Skinner and other behavioral psychologists experimented with using various reinforcers and operants. They also experimented with various patterns of reinforcement (or schedules of reinforcement ), as well as with various cues or signals to the animal about when reinforcement was available . It turned out that all of these factors—the operant, the reinforcement, the schedule, and the cues—affected how easily and thoroughly operant conditioning occurred. For example, reinforcement was more effective if it came immediately after the crucial operant behavior, rather than being delayed, and reinforcements that happened intermittently (only part of the time) caused learning to take longer, but also caused it to last longer.

Operant conditioning and students’ learning: As with respondent conditioning, it is important to ask whether operant conditioning also describes learning in human beings, and especially in students in classrooms. On this point the answer seems to be clearly “yes”. There are countless classroom examples of consequences affecting students’ behavior in ways that resemble operant conditioning, although the process certainly does not account for all forms of student learning (Alberto & Troutman, 2005). Consider the following examples. In most of them the operant behavior tends to become more frequent on repeated occasions:

• A seventh-grade boy makes a silly face (the operant) at the girl sitting next to him. Classmates sitting around them giggle in response (the reinforcement).
• A kindergarten child raises her hand in response to the teacher’s question about a story (the operant). The teacher calls on her and she makes her comment (the reinforcement).
• Another kindergarten child blurts out her comment without being called on (the operant). The teacher frowns, ignores this behavior, but before the teacher calls on a different student, classmates are listening attentively (the reinforcement) to the student even though he did not raise his hand as he should have.
• A twelfth-grade student—a member of the track team—runs one mile during practice (the operant). He notes the time it takes him as well as his increase in speed since joining the team (the reinforcement).
• A child who is usually very restless sits for five minutes doing an assignment (the operant). The teaching assistant compliments him for working hard (the reinforcement).
• A sixth-grader takes home a book from the classroom library to read overnight (the operant). When she returns the book the next morning, her teacher puts a gold star by her name on a chart posted in the room (the reinforcement).

Hopefully these examples are enough to make four points about operant conditioning. First, the process is widespread in classrooms—probably more widespread than respondent conditioning. This fact makes sense, given the nature of public education: to a large extent, teaching is about making certain consequences for students (like praise or marks) depend on students’ engaging in certain activities (like reading certain material or doing assignments). Second, learning by operant conditioning is not confined to any particular grade, subject area, or style of teaching, but by nature happens in nearly every imaginable classroom. Third, teachers are not the only persons controlling reinforcements. Sometimes they are controlled by the activity itself (as in the track team example), or by classmates (as in the “giggling” example). A result of all of the above points is the fourth: that multiple examples of operant conditioning often happen at the same time. The skill builder for this chapter (The decline and fall of Jane Gladstone) suggests how this happened to someone completing student teaching.

Because operant conditioning happens so widely, its effects on motivation are a bit more complex than the effects of respondent conditioning. As in respondent conditioning, operant conditioning can encourage intrinsic motivation to the extent that the reinforcement for an activity can sometimes be the activity itself. When a student reads a book for the sheer enjoyment of reading, for example, he is reinforced by the reading itself; then we often say that his reading is “intrinsically motivated”. More often, however, operant conditioning stimulates both intrinsic and extrinsic motivation at the same time. The combining of both is noticeable in the examples that I listed above. In each example, it is reasonable to assume that the student felt intrinsically motivated to some partial extent, even when reward came from outside the student as well. This was because part of what reinforced their behavior was the behavior itself—whether it was making faces, running a mile, or contributing to a discussion. At the same time, though, note that each student probably was also extrinsically motivated, meaning that another part of the reinforcement came from consequences or experiences not inherently part of the activity or behavior itself. The boy who made a face was reinforced not only by the pleasure of making a face, for example, but also by the giggles of classmates. The track student was reinforced not only by the pleasure of running itself, but also by knowledge of his improved times and speeds. Even the usually restless child sitting still for five minutes may have been reinforced partly by this brief experience of unusually focused activity, even if he was also reinforced by the teacher aide’s compliment. Note that the extrinsic part of the reinforcement may sometimes be more easily observed or noticed than the intrinsic part, which by definition may sometimes only be experienced within the individual and not also displayed outwardly. This latter fact may contribute to an impression that sometimes occurs, that operant conditioning is really just “bribery in disguise”, that only the external reinforcements operate on students’ behavior. It is true that external reinforcement may sometimes alter the nature or strength of internal (or intrinsic) reinforcement, but this is not the same as saying that it destroys or replaces intrinsic reinforcement. But more about this issue later! (See especially Chapter 7, “Student motivation”.)

Comparing operant conditioning and respondent conditioning: Operant conditioning is made more complicated, but also more realistic, by many of the same concepts as used in respondent conditioning. In most cases, however, the additional concepts have slightly different meanings in each model of learning. Since this circumstance can make the terms confusing, let me explain the differences for three major concepts used in both models—extinction, generalization, and discrimination. Then I will comment on two additional concepts— schedules of reinforcement and cues—that are sometimes also used in talking about both forms of conditioning, but that are important primarily for understanding operant conditioning. The explanations and comments are also summarized in Table 3  .

Table 3: Comparison of terms common to operant and respondent conditioning

In both respondent and operant conditioning, extinction refers to the disappearance of “something”. In operant conditioning, what disappears is the operant behavior because of a lack of reinforcement. A student who stops receiving gold stars or compliments for prolific reading of library books, for example, may extinguish (i.e. decrease or stop) book-reading behavior. In respondent conditioning, on the other hand, what disappears is association between the conditioned stimulus (the CS) and the conditioned response (CR). If you stop smiling at a student, then the student may extinguish her association between you and her pleasurable response to your smile, or between your classroom and the student’s pleasurable response to your smile.

In both forms of conditioning, generalization means that something “extra” gets conditioned if it is somehow similar to “something”. In operant conditioning, the extra conditioning is to behaviors similar to the original operant . If getting gold stars results in my reading more library books, then I may generalize this behavior to other similar activities, such as reading the newspaper, even if the activity is not reinforced directly. In respondent conditioning, however, the extra conditioning refers to stimuli similar to the original conditioned stimulus. If I am a student and I respond happily to my teacher’s smiles, then I may find myself responding happily to other people (like my other teachers) to some extent, even if they do not smile at me. Generalization is a lot like the concept of transfer that I discussed early in this chapter, in that it is about extending prior learning to new situations or contexts. From the perspective of operant conditioning, though, what is being extended (or “transferred” or generalized) is a behavior, not knowledge or skill.

In both forms of conditioning, discrimination means learning not to generalize. In operant conditioning, though, what is not being overgeneralized is the operant behavior. If I am a student who is being complimented (reinforced) for contributing to discussions, I must also learn to discriminate when to make verbal contributions from when not to make verbal contributions—such as when classmates or the teacher are busy with other tasks. In respondent conditioning, what are not being overgeneralized are the conditioned stimuli that elicit the conditioned response. If I, as a student, learn to associate the mere sight of a smiling teacher with my own happy, contented behavior, then I also have to learn not to associate this same happy response with similar, but slightly different sights, such as a teacher looking annoyed.

In both forms of conditioning, the schedule of reinforcement refers to the pattern or frequency by which “something” is paired with “something else”. In operant conditioning, what is being paired is the pattern by which reinforcement is linked with the operant. If a teacher praises me for my work, does she do it every time, or only sometimes? Frequently or only once in awhile? In respondent conditioning, however, the schedule in question is the pattern by which the conditioned stimulus is paired with the unconditioned stimulus. If I am student with Mr Horrible as my teacher, does he scowl every time he is in the classroom, or only sometimes? Frequently or rarely?

Behavioral psychologists have studied schedules of reinforcement extensively (for example, Ferster, et al., 1997; Mazur, 2005), and found a number of interesting effects of different schedules. For teachers, however, the most important finding may be this: partial or intermittent schedules of reinforcement generally cause learning to take longer, but also cause extinction of learning to take longer. This dual principle is important for teachers because so much of the reinforcement we give is partial or intermittent. Typically, if I am teaching, I can compliment a student a lot of the time, for example, but there will inevitably be occasions when I cannot do so because I am busy elsewhere in the classroom. For teachers concerned both about motivating students and about minimizing inappropriate behaviors, this is both good news and bad. The good news is that the benefits of my praising students’ constructive behavior will be more lasting, because they will not extinguish their constructive behaviors immediately if I fail to support them every single time they happen. The bad news is that students’ negative behaviors may take longer to extinguish as well, because those too may have developed through partial reinforcement. A student who clowns around inappropriately in class, for example, may not be “supported” by classmates’ laughter every time it happens, but only some of the time. Once the inappropriate behavior is learned, though, it will take somewhat longer to disappear even if everyone—both teacher and classmates—make a concerted effort to ignore (or extinguish) it.

Finally, behavioral psychologists have studied the effects of cues. In operant conditioning, a cue is a stimulus that happens just prior to the operant behavior and that signals that performing the behavior may lead to reinforcement. Its effect is much like discrimination learning in respondent conditioning, except that what is “discriminated” in this case is not a conditioned behavior that is reflex-like, but a voluntary action, the operant. In the original conditioning experiments, Skinner’s rats were sometimes cued by the presence or absence of a small electric light in their cage. Reinforcement was associated with pressing a lever when, and only when, the light was on. In classrooms, cues are sometimes provided by the teacher or simply by the established routines of the class. Calling on a student to speak, for example, can be a cue that if the student does say something at that moment, then he or she may be reinforced with praise or acknowledgment. But if that cue does not occur—if the student is not called on—speaking may not be rewarded. In more everyday, non-behaviorist terms, the cue allows the student to learn when it is acceptable to speak, and when it is not.

Constructivism: changes in how students think

Behaviorist models of learning may be helpful in understanding and influencing what students do, but teachers usually also want to know what students are thinking, and how to enrich what students are thinking. For this goal of teaching, some of the best help comes from constructivism, which is a perspective on learning focused on how students actively create (or “construct”) knowledge out of experiences. Constructivist models of learning differ about how much a learner constructs knowledge independently, compared to how much he or she takes cues from people who may be more of an expert and who help the learner’s efforts (Fosnot, 2005; Rockmore, 2005). For convenience these are called psychological constructivism and social constructivism, even though both versions are in a sense explanations about thinking within individuals.

Psychological constructivism: the independent investigator

The main idea of psychological constructivism is that a person learns by mentally organizing and reorganizing new information or experiences. The organization happens partly by relating new experiences to prior knowledge that is already meaningful and well understood. Stated in this general form, individual constructivism is sometimes associated with a well-known educational philosopher of the early twentieth century, John Dewey (1938-1998). Although Dewey himself did not use the term constructivism in most of his writing, his point of view amounted to a type of constructivism, and he discussed in detail its implications for educators. He argued, for example, that if students indeed learn primarily by building their own knowledge, then teachers should adjust the curriculum to fit students’ prior knowledge and interests as fully as possible. He also argued that a curriculum could only be justified if it related as fully as possible to the activities and responsibilities that students will probably have later, after leaving school. To many educators these days, his ideas may seem merely like good common sense, but they were indeed innovative and progressive at the beginning of the twentieth century.

A more recent example of psychological constructivism is the cognitive theory of Jean Piaget (Piaget, 2001; Gruber & Voneche, 1995). Piaget described learning as interplay between two mental activities that he called assimilation and accommodation. Assimilation is the interpretation of new information in terms of pre-existing concepts, information or ideas. A preschool child who already understands the concept of bird, for example, might initially label any flying object with this term—even butterflies or mosquitoes. Assimilation is therefore a bit like the idea of generalization in operant conditioning, or the idea of transfer described at the beginning of this chapter. In Piaget’s viewpoint, though, what is being transferred to a new setting is not simply a behavior (Skinner’s “operant” in operant conditioning), but a mental representation for an object or experience.

Assimilation operates jointly with accommodation, which is the revision or modification of pre-existing concepts in terms of new information or experience. The preschooler who initially generalizes the concept of bird to include any flying object, for example, eventually revises the concept to include only particular kinds of flying objects, such as robins and sparrows, and not others, like mosquitoes or airplanes. For Piaget, assimilation and accommodation work together to enrich a child’s thinking and to create what Piaget called cognitive equilibrium , which is a balance between reliance on prior information and openness to new information. At any given time, cognitive equilibrium consists of an ever-growing repertoire of mental representations for objects and experiences. Piaget called each mental representation a schema (all of them together—the plural—was called schemata ). A schema was not merely a concept, but an elaborated mixture of vocabulary, actions, and experience related to the concept. A child’s schema for bird, for example, includes not only the relevant verbal knowledge (like knowing how to define the word “bird”), but also the child’s experiences with birds, pictures of birds, and conversations about birds. As assimilation and accommodation about birds and other flying objects operate together over time, the child does not just revise and add to his vocabulary (such as acquiring a new word, “butterfly”), but also adds and remembers relevant new experiences and actions. From these collective revisions and additions the child gradually constructs whole new schemata about birds, butterflies, and other flying objects. In more everyday (but also less precise) terms, Piaget might then say that “the child has learned more about birds”.

Learning According to Piaget:Assimilation + Accommodation → Equilibrium → Schemata The upper part of Exhibit 5 diagrams the relationships among the Piagetian version of psychological constructivist learning. Note that the model of learning in the Exhibit is rather “individualistic”, in the sense that it does not say much about how other people involved with the learner might assist in assimilating or accommodating information. Parents and teachers, it would seem, are left lingering on the sidelines, with few significant responsibilities for helping learners to construct knowledge. But the Piagetian picture does nonetheless imply a role for helpful others: someone, after all, has to tell or model the vocabulary needed to talk about and compare birds from airplanes and butterflies! Piaget did recognize the importance of helpful others in his writings and theorizing, calling the process of support or assistance social transmission. But he did not emphasize this aspect of constructivism. Piaget was more interested in what children and youth could figure out on their own, so to speak, than in how teachers or parents might be able to help the young to figure out (Salkind, 2004). Partly for this reason, his theory is often considered less about learning and more about development, which is long-term change in a person resulting from multiple experiences. For the same reason, educators have often found Piaget’s ideas especially helpful for thinking about students’ readiness to learn, another one of the lasting educational issues that I discussed at the beginning of this chapter. I will therefore return to Piaget later to discuss development and its importance for teaching in more detail.

Exhibit 5: Constructivist models of learning

Learning According to Piaget:

Assimilation + Accommodation → Equilibrium → Schemata

Learning According to Vygotsky:

Novice      → Zone of Proximal Development ← Expert (ZPD)

Social Constructivism: assisted performance

Unlike Piaget’s rather individually oriented version of constructivism, some psychologists and educators have explicitly focused on the relationships and interactions between a learner and more knowledgeable and experienced individuals. One early expression of this viewpoint came from the American psychologist Jerome Bruner (1960, 1966, 1996), who became convinced that students could usually learn more than had been traditionally expected as long as they were given appropriate guidance and resources. He called such support instructional scaffolding — literally meaning a temporary framework, like one used in constructing a building, that allows a much stronger structure to be built within it. In a comment that has been quoted widely (and sometimes disputed), he wrote: “We [constructivist educators] begin with the hypothesis that any subject can be taught effectively in some intellectually honest form to any child at any stage of development.” (1960, p. 33). The reason for such a bold assertion was Bruner’s belief in scaffolding—his belief in the importance of providing guidance in the right way and at the right time. When scaffolding is provided, students seem more competent and “intelligent,” and they learn more.

Similar ideas were proposed independently by the Russian psychologist Lev Vygotsky (1978), whose writing focused on how a child’s or novice’s thinking is influenced by relationships with others who are more capable, knowledgeable, or expert than the learner. Vygotsky proposed that when a child (or any novice) is learning a new skill or solving a new problem, he or she can perform better if accompanied and helped by an expert than if performing alone—though still not as well as the expert. Someone who has played very little chess, for example, will probably compete against an opponent better if helped by an expert chess player than if competing alone against an opponent. Vygotsky called the difference between solo performance and assisted performance the zone of proximal development (or ZPD for short)—meaning the place or area (figuratively speaking) of immediate change. From this perspective learning is like assisted performance (Tharp & Gallimore, 1991). Initially during learning, knowledge or skill is found mostly “in” the expert helper. If the expert is skilled and motivated to help, then the expert arranges experiences that allow the novice to practice crucial skills or to construct new knowledge. In this regard the expert is a bit like the coach of an athlete—offering help and suggesting ways of practicing, but never doing the actual athletic work himself or herself. Gradually, by providing continued experiences matched to the novice learner’s emerging competencies, the expert-coach makes it possible for the novice or apprentice to appropriate (or make his or her own) the skills or knowledge that originally resided only with the expert. These relationships are diagrammed in the lower part of Exhibit 5 .

In both the psychological and social versions of constructivist learning, the novice is not really “taught” so much as just allowed to learn. The social version of constructivism, however, highlights the responsibility of the expert for making learning possible. He or she must not only have knowledge and skill, but also know how to arrange experiences that make it easy and safe for learners to gain knowledge and skill themselves. These requirements sound, of course, a lot like the requirements for classroom teaching. In addition to knowing what is to be learned, the expert (i.e. the teacher) also has to break the content into manageable parts, offer the parts in a sensible sequence, provide for suitable and successful practice, bring the parts back together again at the end, and somehow relate the entire experience to knowledge and skills already meaningful to the learner. But of course, no one said that teaching is easy!

Implications of constructivism for teaching

Fortunately there are strategies that teachers can use for giving students this kind of help—in fact they constitute a major portion of this book, and are a major theme throughout the entire preservice teacher education programs. For now, let me just point briefly to two of them, saving a complete discussion for later. One strategy that teachers often find helpful is to organize the content to be learned as systematically as possible, because doing this allows the teacher to select and devise learning activities that are more effective. One of the most widely used frameworks for organizing content, for example, is a classification scheme proposed by the educator Benjamin Bloom, published with the somewhat imposing title of Taxonomy of Educational Objectives: Handbook #1: Cognitive Domain (Bloom, et al., 1956; Anderson & Krathwohl, 2001). Bloom’s taxonomy , as it is usually called, describes six kinds of learning goals that teachers can in principle expect from students, ranging from simple recall of knowledge to complex evaluation of knowledge. (The levels are defined briefly in Table 2.3 with examples from Goldilocks and the Three Bears .)

Bloom’s taxonomy makes useful distinctions among possible kinds of knowledge needed by students, and therefore potentially helps in selecting activities that truly target students’ “zones of proximal development” in the sense meant by Vygotsky. A student who knows few terms for the species studied in biology unit (a problem at Bloom’s knowledge and comprehension levels), for example, may initially need support at remembering and defining the terms before he or she can make useful comparisons among species (Bloom’s analysis level). Pinpointing the most appropriate learning activities to accomplish this objective remains the job of the teacher- expert (that’s you ), but the learning itself has to be accomplished by the student. Put in more social constructivist terms, the teacher arranges a zone of proximal development that allows the student to compare species successfully, but the student still has to construct or appropriate the comparisons for him or herself.

Table 4: Bloom’s taxonomy of educational objectives: cognitive domain

A second strategy may be coupled with the first. As students gain experience as students, they become able to think about how they themselves learn best, and you (as the teacher) can encourage such self-reflection as one of your goals for their learning. These changes allow you to transfer some of your responsibilities for arranging learning to the students themselves. For the biology student mentioned above, for example, you may be able not only to plan activities that support comparing species, but also to devise ways for the student to think about how he or she might learn the same information independently. The resulting self-assessment and self-direction of learning often goes by the name of metacognition —an ability to think about and regulate one’s own thinking (Israel, 2005). Metacognition can sometimes be difficult for students to achieve, but it is an important goal for social constructivist learning because it gradually frees learners from dependence on expert teachers to guide their learning. Reflective learners, you might say, become their own expert guides. Like with using Bloom’s taxonomy, though, promoting metacognition and self-directed learning is important enough that I will come back to it later in more detail (especially in Chapter 10, “Facilitating complex thinking”).

By assigning a more visible role to expert helpers—and by implication also to teachers—than does the psychological constructivism, social constructivism is seemingly more complete as a description of what teachers usually do in classrooms, and of what they usually hope students will experience there. As we will see in the next chapter, however, there are more uses to a theory than whether it describes the moment-to-moment interactions between teacher and students. As I explain there, some theories can be helpful for planning instruction rather than for doing it. It turns out that this is the case for psychological constructivism, which offers important ideas about the appropriate sequencing of learning and development. This fact makes the psychological constructivism valuable in its own way, even though it (and a few other learning theories as well) seem to “omit” mentioning teachers, parents, or experts in detail. So do not make up your mind about the relative merits of different learning theories yet!

Chapter summary

Although the term learning has many possible meanings, the term as used by teachers emphasizes its relationship to curriculum, to teaching, and to the issues of sequencing, readiness, and transfer. Viewed in this light, the two major psychological perspectives of learning—behaviorist and constructivist—have important ideas to offer educators. Within the behaviorist perspective are two major theories or models of learning, called respondent conditioning and operant conditioning. Respondent conditioning describes how previously neutral associations can acquire the power to elicit significant responses in students. Operant conditioning describes how the consequences and cues for a behavior can cause the behavior to become more frequent. In either case, from a teacher’s point of view, the learned behaviors or responses can be either desirable or unwanted.

The other major psychological perspective—constructivism—describes how individuals build or “construct” knowledge by engaging actively with their experiences. The psychological version of constructivism emphasizes the learners’ individual responses to experience—their tendency both to assimilate it and to accommodate to it. The social version of constructivism emphasizes how other, more expert individuals can create opportunities for the learner to construct new knowledge. Social constructivism suggests that a teacher’s role must include deliberate instructional planning, such as facilitated by Bloom’s taxonomy of learning objectives, but also that teachers need to encourage metacognition, which is students’ ability to monitor their own learning.

On the Internet

< http://seab.envmed.rochester.edu/jaba > This is the website for the Journal of Applied Behavior Analysis, and as such it is an excellent source of examples of how behaviorist learning principles can be applied to a wide variety of behavior-related difficulties. Any article older than one year is available in full-text, free of charge from the website. (If it is from the most recent three issues, however, you have to subscribe to the journal.)

< www.piaget.org > This is the website for the Jean Piaget Society, which in spite of its name is not just about Piaget, but about all forms of constructivist research about learning and development, including social constructivist versions. They have excellent brief publications about this perspective, available free of charge at the website, as well as information about how to find additional information.

Alberto, P. & Troutman, A. (2005). Applied behavior analysis for teachers, 7th edition. Upper Saddle River, NJ: Prentice Hall.

Anderson, L. & Krathwohl, D. (Eds.). (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives. New York: Longman.

Bruner, J. (1960). The process of education. Cambridge, MA: Harvard University Press. Bruner, J. (1966). Toward a theory of instruction. Cambridge, MA: Harvard University Press. Bruner, J. (1996). The culture of education. Cambridge, MA: Harvard University Press.

Copple, C. & Bredekamp, S. (2006). Basics of developmentally appropriate practice. Washington, D.C.: National Association for the Education of Young Children.

Dewey, J. (1938/1998). How we think. Boston: Houghton Mifflin.

Ferster, C., Skinner, B. F., Cheney, C., Morse, W., & Dews, D. Schedules of reinforcement. New York: Copley Publishing Group.

Fosnot, C. (Ed.). (2005). Constructivism: Theory, perspectives, and practice, 2nd edition. New York: Teachers College Press.

Gardner, H. (1999). Intelligence reframed: Multiple intelligences for the 21st century. New York: Basic Books.

Gardner, H. (2006). The development and education of the mind. New York: Routledge.

Goldman, J. (2006). Web-based designed activities for young people in health education: A constructivist approach. Health Education Journal 65 (1), 14-27.

Gruber, H. & Voneche, J. (Eds.). (1995). The essential Piaget. New York: Basic Books. Israel, S. (Ed.). (2005). Metacognition in literacy learning. Mahwah, NJ: Erlbaum.

Lavond, D. & Steinmetz, J. (2003). Handbook of classical conditioning. Boston: Kluwer Academic Publishing.

Mazur, J. (2005). Learning and behavior, 6th edition. Upper Saddle River, NJ: Prentice Hall.

Onslow, M., Menzies, R., & Packman, A. (2001). An operant intervention for early stuttering. Behavior modification 25 (1), 116-139.

Pavlov, I. (1927). Conditioned reflexes. London, UK: Oxford University Press. Piaget, J. (2001). The  psychology of intelligence. London, UK: Routledge.

Rockmore, T. (2005). On constructivist epistemology. Lanham, MD: Rowman & Littlefield Publishers.

Salkind, N. (2004). An introduction to theories of human development. Thousand Oaks, CA: Sage Publications.

Skinner, B. F. (1938). The behavior of organisms. New York: Appleton-Century-Crofts. Skinner, B. F. (1948). Walden Two. New York: Macmillan.

Skinner, B. F. (1988). The selection of behavior: The operant behaviorism of B. F. Skinner. New York: Cambridge University Press.

Tharp, R. & Gallimore, R. (1991). Rousing minds to life: Teaching, learning, and schooling in social context. Cambridge, UK: Cambridge University Press.

Vygotsky, L. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.

Educational Psychology Copyright © 2019 by Kelvin Seifert and Rosemary Sutton is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License , except where otherwise noted.

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What Is the Psychology of Learning?

Learning in psychology is based on a person's experiences

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

 James Lacy, MLS, is a fact-checker and researcher.

The psychology of learning focuses on a range of topics related to how people learn and interact with their environments.

Are you preparing for a big test in your psychology of learning class? Or are you just interested in a review of learning and behavioral psychology topics? This learning study guide offers a brief overview of some of the major learning issues including behaviorism, classical, and operant conditioning .

Let's learn a bit more about the psychology of learning.

Definition of Learning in Psychology

Learning can be defined in many ways, but most psychologists would agree that it is a relatively permanent change in behavior that results from experience. During the first half of the 20th century, the school of thought known as behaviorism rose to dominate psychology and sought to explain the learning process. Behaviorism sought to measure only observable behaviors.

3 Types of Learning in Psychology

Behavioral learning falls into three general categories.

Classical Conditioning

Classical conditioning is a learning process in which an association is made between a previously neutral stimulus and a stimulus that naturally evokes a response.

For example, in Pavlov's classic experiment , the smell of food was the naturally occurring stimulus that was paired with the previously neutral ringing of the bell. Once an association had been made between the two, the sound of the bell alone could lead to a response.

For example, if you don't know how to swim and were to fall into a pool, you'd take actions to avoid the pool.

Operant Conditioning

Operant conditioning is a learning process in which the probability of a response occurring is increased or decreased due to reinforcement or punishment. First studied by Edward Thorndike and later by B.F. Skinner , the underlying idea behind operant conditioning is that the consequences of our actions shape voluntary behavior.

Skinner described how reinforcement could lead to increases in behaviors where punishment would result in decreases. He also found that the timing of when reinforcements were delivered influenced how quickly a behavior was learned and how strong the response would be. The timing and rate of reinforcement are known as schedules of reinforcement .

For example, your child might learn to complete their homework because you reward them with treats and/or praise.

Observational Learning

Observational learning is a process in which learning occurs through observing and imitating others. Albert Bandura's social learning theory suggests that in addition to learning through conditioning, people also learn through observing and imitating the actions of others.

Basic Principles of Social Learning Theory

As demonstrated in his classic Bobo Doll experiments, people will imitate the actions of others without direct reinforcement. Four important elements are essential for effective observational learning: attention, motor skills, motivation, and memory.

For example, a teen's older sibling gets a speeding ticket, with the unpleasant results of fines and restrictions. The teen then learns not to speed when they take up driving.

The three types of learning in psychology are classical conditioning, operant conditioning, and observational learning.

History of the Psychology of Learning

One of the first thinkers to study how learning influences behavior was psychologist John B. Watson , who suggested in his seminal 1913 paper Psychology as the Behaviorist Views It that all behaviors are a result of the learning process. Psychology, the behaviorists believed, should be the scientific study of observable, measurable behavior. Watson's work included the famous Little Albert experiment in which he conditioned a small child to fear a white rat.

Behaviorism dominated psychology for much of the early 20th century. Although behavioral approaches remain important today, the latter part of the century was marked by the emergence of humanistic psychology, biological psychology, and cognitive psychology .

Other important figures in the psychology of learning include:

• Edward Thorndike
• Ivan Pavlov
• B.F. Skinner
• Albert Bandura

A Word From Verywell

The psychology of learning encompasses a vast body of research that generally focuses on classical conditioning, operant conditioning, and observational learning. As the field evolves, it continues to have important implications for explaining and motivating human behavior.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

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Importance of Learning: Essay Intro Examples and Tips

Table of Contents

Learning is a continuous process. It doesn’t just stop at school. There’s a broad selection of learning topics that you can write about for your essay. You can talk about E-learning, Key Concepts of Learning, and so on. Regardless of the topic you’ve been assigned to write on, it’s essential to do some thorough research. And to start your essay right, you will need a winning  learning essay introduction.

You need to make your essay introduction informative while still being interesting. This is why we’ve gathered the best intro examples and writing tips you can use. Check them out and start winning those essays!

Writing Tips for a Great Learning Essay Introduction

Keep it interesting.

Your learning essay introduction can make or break your essay. There are many ways you can keep it interesting and professional. Here are just some ideas to hook your reader in.

• Include a surprising fact that conveys something about the problem to be addressed in the paper.
• Find an interesting quote that summarizes your arguments well.
• Put your readers in a different situation using rhetorical questions to make them think about your topic in a new way.
• Start with an anecdote or story to get your readers emotionally engaged.

Present statistical data

Do your research and gather concrete statistical data you can cite in your intro. Not only does this make your essay look more credible, but it also serves as proof to strengthen your argument.

Be mindful of your intro length.

An intro that’s too long might overwhelm your readers. But an introduction that’s too short won’t be able to introduce and elaborate on your work fully. A good rule of thumb in determining the proper intro length is that it should be 10% of the overall length of your essay. If your essay is 2000 words long, your intro should be approximately 200 words long.

8 Introduction Examples for Learning Essays

Example 1: the benefits of online learning.

Your life is a continuous learning process, and you never stop learning. Whenever you attend school, you will learn new things every day. But learning is not just limited to students. No matter how old you are, you can learn new things.

Online learning is an excellent way for people of all ages to learn new things. There are many online courses available that can help you learn new skills. Online learning can help you accomplish your goals, whether learning about a new topic or improving your existing skills. It’s also convenient and flexible, so you can study at your own pace. With its many benefits, online learning is becoming more popular every year.

Example 2: The Importance of Learning

Learning provides us with new knowledge that will significantly impact our well-being. As an individual, learning new skills and techniques can help you have an intelligent conversation with others. If a person has learned the necessary business skills, they would be a great asset to a company. After college students learn all the educational knowledge, they can move forward in their lives to be better and bigger. Learning can provide many benefits for individuals, but they must seek it out passionately. One cannot expect to learn a new skill or technique every day.

Example 3: Learning Process

It is helpful to try something new instead of doing the same thing every single day. When people experience new things and learn new material, they are learning. Many people do not realize it, but we are learning something new every day. Learning causes a permanent change in behavior or knowledge that comes from experience. It can also be adaptive and flexible to meet life’s demands. There’s nothing as important as the process of learning. Learning transforms and engages one’s brain. When people are introduced to new things, their thinking and ideas can change forever.

Example 4: How Learning Changes Us

Learning is a continuous process that is constantly changing for me. Through it, I feel better than I did the day before. Learning has enabled me to discover myself as an individual and discover my strengths and weaknesses. I continue to become better every day.

Example 5: The Introduction To E-Learning

E-learning is a recognized educational practice that supports a flexible model of knowledge access. It enables education and training to serve a numerically larger audience than traditional methods can adequately support. Teachers are still necessary for students and always will be, but the fact that e-learning is now widespread can revolutionize education. E-learning can be changed, modified, and adapted to changing student needs. Distances are no longer an obstacle to someone studying. However, some e-learning methods require some initiation/training to familiarize themselves.

Example 6: Benefits of Mastering English

Language has become critical to understanding technology and information in this age of globalization. If you can’t master a foreign language, it becomes very challenging to communicate with people worldwide. Multifarious and multicultural societies have their own languages. Therefore, worldwide interaction and communication must be supported by one global language. English is that one global language. A good grasp of English is beneficial since it gives us many opportunities for success.

Example 7: E-Learning is The Future

Most e-learning programs have grown exponentially in recent years. Online courses offer students a convenient and flexible way to learn, resulting in increased conversions among students of all ages. There is no doubt that e-learning is the future of education. A traditional classroom learning method will always be necessary. But the fast-growing online network provides valuable resources to educate people from all walks of life. The flexibility of e-learning also allows people to study at their own pace and in their own time. More and more people are turning to e-learning to further their education.

Example 8: Online Learning for Workers

In today’s increasingly competitive job market, workers must constantly refresh their skills and knowledge. Traditional schools and colleges are not always possible for busy adults to balance work and family obligations. But thanks to the internet, access to quality educational resources has become easier. You can now learn new skills and knowledge online without leaving your office. They are an ideal solution for busy professionals. With so many online learning portals now available, there is no excuse for learning new skills or improving your existing skill set.

Wrapping Up

Writing a  learning essay introduction  can seem daunting at first, but with the proper research and these tips, it will become much more manageable.

Remember, your introduction is the first impression your viewers will have of your essay , so it’s the perfect place to grab their attention. Get them excited about what your essay has to offer.

Abir Ghenaiet

Abir is a data analyst and researcher. Among her interests are artificial intelligence, machine learning, and natural language processing. As a humanitarian and educator, she actively supports women in tech and promotes diversity.

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Writing Across the Curriculum

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• Using Reflective Writing to Deepen Student Learning

Research in learning sciences illustrates the many benefits of reflective writing. When provided with clear and authentic prompts and given repeated opportunities to think about their course work and educational, professional, or clinical experiences, students are better able to retain and transfer learning to new contexts. Reflective writing often serves multiple purposes simultaneously, enabling students to deepen their component skills and conceptual understanding within a specific field of study while also developing their metacognitive knowledge of their own learning habits and practices. In effect, while reflection involves looking back, it also serves as a mental rehearsal for future practice.

Why should I assign reflective writing?

Because the act of reflecting requires retrieval, elaboration, and generation of information, it can make learning more durable for students, as Brown, Roediger III, and McDaniel demonstrate in Make it Stick: The Science of Successful Learning (2014). Simply worded prompts—such as What went well? What could have gone better? What other knowledge or experiences does this remind you of? and What other strategies might you use next time to get better results? (210)— encourage students to actively monitor their learning processes, which can then cue them to maintain or adapt their strategies in other contexts. Reflective writing prompts can also be used to cue students to think about their conceptual learning: What do I already know? What do I wonder? What do I want to find out? How does this new information relate to the old stuff I thought I knew? How does this new knowledge impact other things I think I know? As detailed by Ambrose et al. (2010 ), becoming more “consciously competent''—developing component skills, becoming fluent with them, and applying them to relevant contexts—enables mastery of concepts (95).

Beyond the rich gains it provides students, reflective writing can also yield valuable insights for instructors about how to adjust their teaching, their course designs, and their assignments to address student-identified areas of struggle. 

How and when should I use reflective writing?

Reflective writing can take many different forms, including routine entries in lab, design, or fieldwork notebooks, revision memos , and blog and video postings; and it can range from brief, informal assignments (such as one-minute papers , muddiest points , or exit slips ) to formal components of large capstone-level projects. Reflective writing can even be used beyond one’s course to integrate and deepen learning across the curriculum when integrated with eportfolios . 

Regardless of its form or length, reflective writing is most effective when it is integrated into the design of a course, when it supports key learning aims, and when it is intentionally sequenced within an assignment—that is, when its purpose and relevance are clear to students. If students are asked to reflect on their learning experiences only once at the end of a course, they might approach such a task as a course evaluation or a generic description of their learning experiences. 

Providing specific and purposeful reflective activities throughout the semester—before a unit of study, during or after a course lecture or class discussion, or before and after an exam—can help students identify challenges and setbacks along with developing strategies for overcoming them. For example, Dr. Mary Pat Wenderoth assigns weekly learning paragraphs in her large physiology class in order to (1) have students identify their preconceptions about biological systems so those preconceptions can be challenged and prevented from interfering with their learning; (2) develop students’ conceptual frameworks to better retain factual knowledge; and (3) offer practice in metacognition.

Here are seven ways to integrate authentic and purposeful reflective writing.

• Ask students to combine reflective writing with goal setting. Prior to reviewing for a test or drafting an essay, ask students to anticipate concerns and challenges they may face and the strategies they might use to overcome them. For example, if students identify procrastination as a key challenge to producing a full draft of a paper or project, they can then identify strategies such as turning off their phones, working in wi-fi cold spots, or meeting with a consultant at  Student Writing Support —strategies that may help them to get started with their drafts. Inviting students to share their methods for overcoming procrastination can also be an easy, useful, and inclusive way to crowdsource effective strategies.  
• Ask students to reflect on their work before they revise it . When students write a reflective or revision memo to themselves, they can better process the feedback they have received and determine how they are going to use it. Likewise, asking students to insert a reflective comment (pdf) on a draft of their paper that they are going to discuss with others, either in a peer response session , an appointment with Student Writing Support , or a conference with the instructor, can establish more agency for the student writer.  
• Ask students to reflect throughout the process of writing a paper, preparing for and taking an exam, or during a group project. Jose Bowen (2012) provides a number of examples for how to integrate exam or cognitive wrappers into assignments that can help students to process and self-regulate their learning experiences over the course of a project.  
• Ask students to reflect on their learning throughout the entire term . Learning logs with simple prompts that ask students to summarize their learning at the end of class, identify points of insight and confusion, and establish connections between key concepts can motivate students to participate more actively in their learning and provide instructors with an important gauge for modifying their teaching.  
• Ask students to reflect at the end of the term on their development as a writer. An end-of-the term reflective essay that requires students to cite passages from their own work and to reflect on the ways those passages indicate growth, struggle, and learning can provide a strong impetus for writing transfer .  
• Ask students to reflect upon completion of a major task or learning event. Many reflective writing tasks can take just a few minutes to complete. However, a significant learning milestone, such as an internship, a mentorship project, or a capstone assignment, will likely benefit from a more extensive reflective writing task. For these kinds of reflective writing tasks, it is helpful to offer guidelines and a series of open-ended prompts, such as those provided by Grose, Burke and Toston (2017) , that will encourage students to elaborate on and synthesize their learning experiences.   
• Ask students to reflect on their learning for future students of your course. As recounted by James Lang (2014) , a professor at the University of Richmond invites students to share their most effective learning strategies with future students in their accounting course. The incoming students read the former students’ reflections and use those insights to guide their study habits. Adapting this practice to your own course has two vital benefits: it acknowledges the hard work and successes of current students, and it clearly signals the importance and value of reflective writing in your course.

How do I respond to and assess reflective writing?

Reflective writing can generate quite a bit of reading for instructors. However, responses to reflective writing can be brief, synthetic, and periodic. For more developed reflective writing assignments, such as those described in five and six above, instructors will want to allot more time for providing feedback, and they should consider developing a rubric that identifies the key criteria used to evaluate the reflective writing. Members of the Writing Across the Curriculum team are pleased to consult with instructors on developing reflective assignments and assessments.

For the majority of reflective tasks students do, instructors can respond with a strategy of minimal marking (pdf) and a simplified grading scheme (credit/partial credit/no credit). Since a primary goal of reflective writing is for the student writer to become more aware of their own learning and writing processes, instructors can respond in ways that affirm students' insights and encourage their ongoing efforts of reflection and transfer. While such responses can be brief, they are vital and should be timely. Responses can be written, oral, or presented in audio-video formats, depending on the medium.

Here are four ways to ensure responses to reflective writing are timely and manageable.

• Afterclass, quickly read student responses and then summarize key themes from the responses at the start of the next class . If instructors are teaching a large class, they and their teaching assistants can read and respond to half of the class responses and then read and respond to the other half in subsequent reflective responses.  
• Upon completion of in-class reflective writing tasks, invite students to share their responses with a partner or in small groups.  
• For reflective pieces submitted through Canvas, instructors can provide brief responses that use the audio feedback tool , which can take less than a minute while also establishing instructor presence .   
• For multimodal reflections using tools such as flipgrid , instructors can respond in writing or video and encourage classmates to respond to each other’s postings as well . 

How can I foster authentic reflective writing?

For some students, reflecting on their learning may be difficult, and it may be an unfamiliar practice based on socio-cultural backgrounds and schooling histories. For neurodivergent students, reflective activities may require additional or modified instructions and different ways of responding to a prompt. To accommodate all learners and to demonstrate the value of reflective writing, instructors should consider the following:

• Signal the importance of reflective writing by including a rationale for its use in the course syllabus. When students know in advance that they will be asked occasionally to reflect on their learning, they can seek out clarification and accommodations based on their needs.   
• Model reflective practice in your class. For flipgrid assignments , for example, where responses are visible to the entire class, it is useful for instructors to post their own responses. Likewise, similar to metateaching , modelling reflective practice in class can demonstrate its utility to students.  
• For most reflective activities, particularly informal ones, simplify the assessment schema. Grading students on their use of grammar, mechanics, and standard written conventions may undercut the purpose of a quick reflective activity.  
• When possible, allow students the opportunity to opt out of sharing their reflections. If students do share their reflections in class, a quick word of thanks for sharing is valuable.  
• When conferring with students about their work, call attention to the insights they have generated about their learning and experiences. Building on the reflective work of students can be a powerful way to leverage feedback.
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Students in School: Importance of Assessment Essay

• To find inspiration for your paper and overcome writer’s block
• As a source of information (ensure proper referencing)
• As a template for you assignment

Are tests important for students? Why? How should learning be assessed? Essays like the one on this page aim to answer these questions.

Introduction

Assessment of students is a vital exercise aimed at evaluating their knowledge, talents, thoughts, or beliefs (Harlen, 2007). It involves testing a part of the content taught in class to ascertain the students’ learning progress. Assessment should put into consideration students’ class work and outside class work. For younger kids, the teacher should focus on language development.

This will enhance the kids’ confidence when expressing their ideas whenever asked. As in organizations, checks on the performance of students’ progress should be undertaken regularly. Notably, organizations have a high probability of investing in futility because they lack opportunity for correction.

However, in schools there are more chances of correcting mistakes. Similarly, teachers and parents should have a basis of nurturing and correcting the students. This is only possible through assessment of students at certain intervals during their learning progress. Equally, parents or teachers can use tests as they teach as a means of offering quick solutions to challenges experienced by students while learning.

All trainers should work together with their students with the aim of achieving some goals. To evaluate if the goals are met, trainers use various assessment methods depending on the profession. This is exactly true when it comes to assessment in schools. Assessment should focus on the student learning progress.

It should be employed from the kindergarten to the highest levels of learning institutions such as the university. The most essential fact about assessment is that it has to be specific. This implies that each test should try to evaluate if a student is able to demonstrate the understanding of certain concepts taught in class. Contrary to what most examiners believe, assessment should never be used as a means of ranking students.

I this case the key aims of assessment will be lost. Ranking is not bad, but to some extent it might create a negative impression and demoralize the students who are not ranked at top in class. They feel that they are foolish, which is not the case. In general, assessment should be used for evaluation of results and thus creating and formulation of strategies for improving the students’ learning and performance.

Importance of assessment in school

Assessment forms an important part of learning that determines whether the objectives of education have been attained or not (Salvia, 2001). For important decision making concerning the student’s performance, assessment is inevitable. It is very crucial since it determines what course or career can the student partake depending on class performance.

This is not possible without an exam assessment. It engages instructors with a number of questions, which include whether they are teaching the students what they are supposed to be taught or not, and whether their teaching approach is suitable for students.

Students should be subjected to assessment beyond class work, because the world is changing and they are supposed to adapt to dynamics they encounter in their everyday lives. Assessment is important for parents, students, and teachers.

Teachers should be able to identify the students’ level of knowledge and their special needs. They should be able to identify skills, design lesson plans, and come up with the goals of learning. Similarly, instructors should be able to create new learning arrangements and select appropriate learning materials to meet individual student’s needs.

Teachers have to inform parents about the student’s progress in class. This is only possible with the assessment of the students through either exam or group assessment. The assessment will make teachers improve learning mechanisms to meet the needs and abilities of all students. It provides teachers with a way of informing the public about the student’s progress in school.

Whenever parents are informed about the results of their children, they have to contribute to decision making concerning the student’s education needs (Harlen, 2007). Parents are able to select and pay for the relevant curriculum for their students. They can hire personal tutors or pay tuition to promote the learning of the student.

Students should be able to evaluate their performance and learning in school with the use of assessment results. It forms the basis of self-motivation as through it students are able to put extra efforts in order improve their exam performance. Without results, a student might be tempted to assume that he or she has mastered everything taught in class.

Methods of assessment

Various mechanisms can be used to assess the students in school. These include both group assessment and various examinations issued during the learning session. The exam could be done on a weekly, monthly, or terminal basis. Through this, a student is required to submit a written paper or oral presentation. Assignments are normally given with a fixed date of submission.

The teacher determines the amount of time required depending on the complexity of the assignment. It can take a day, a week, or even a month and this ensures that the student does not only rely on class work. It promotes research work and instills the self-driven virtue to the student. In addition, short time exam gives a quick feedback to the teacher about the student performance.

Exam methods of assessment

Before looking at the various methods of exam assessment, it is important to understand the major role that the assessment plays in the learning of the student. Carrying out an assessment at regular intervals allows the teachers to know how their students are progressing over time with respect to their previous assessments (Harlen, 2007).

Actually, testing of students helps in their learning and creates motivation to learn more and improve their performance in the future examination. It also guides the teacher on ways of passing on the knowledge to the students. There are three purposes of assessment and these include assessment for learning, assessment to learning, and assessment of learning.

All these help the teacher in planning of his lessons and means of getting feedback from students. Moreover, these three factors of learning join the efforts of parents, student, and teachers in the process of learning. There are several repercussions realized when parents do not monitor closely the performance of their kids.

Education experts assert that parents who fail to monitor their children’s learning progress are like farmers who sow seeds during planting season and wait to reap during the harvesting season yet they did nothing about it. The success of the student is easily achieved when there is harmony among the parents, teachers, and the students.

Methods of assessment can be categorized into three steps: baseline, formative and summative (Stefanakis, 2010). The baseline is considered as the basic and marks the beginning of learning. The summative one carries the bigger weight than the formative in the overall performance of the student. It carries more marks and it is usually done at the end of the teaching period in the term paper.

The aim is to check for the overall understanding of the unit or topic by the student. As the formative assessment is a continuous process during the learning session in the classroom, the instructor should use the general feedback and observations while teaching. It can provide an immediate solution to the teacher because the area that troubles the student is easily identified and the teacher takes appropriate action.

Teachers should never ignore the formative or wait for the summative at the end of the learning term. Even if the teacher discovers weakness of the student, it might be less useful since there will be no room for improvement. Actually, it is more of a reactive measure rather than proactive summative assessment. Various mechanisms can be used to realize the formative assessment.

These include surveys, which involve collecting of students’ opinions, attitudes, and behaviors during class (Nitko, 2001). They help the instructor to interact with the student more closely, creating a supportive learning environment for the student. The teacher is able to clear any existing misconception from the students due to prior knowledge. It can also involve reflections of the student.

Here, the student is required to take some time and reflect on what was taught. It necessitates the student to ask several questions regarding what was taught, for instance, questions about the hottest topic, new concepts, or questions left unanswered. It also involves the teacher asking questions during a teaching session. This makes the teacher to point out the areas the students have not understood.

By doing so, the teacher is able to focus and put more effort on some topics as compared to others. The teacher can also decide to issue homework or assignments to students. This gives students an opportunity to build confidence on the knowledge acquired during class work (Stefanakis, 2010).

Most importantly, the teacher could include the objectives and expectations of each lesson and this can be in form of questions. These questions create awareness and curiosity of students about the topic.

For the above methods of assessment, various formats have been adopted. First is the baseline assessment, which aims at examining individual’s experience as well as the prior knowledge. There are pencil and paper easement method, which is a written test. It can be a short essay or multiple choice questions. It checks for the student’s understanding of certain concepts.

The third is the embedded assessment. It deals with testing the students in contextual learning and it is done in the formative stage. The fourth involves oral reports that aim at capturing the student’s communication and scientific skills. They are carried out in the formative stage. Interviews evaluate the group and individual performance during the formative stage.

There is also a performance task, which requires the student to work on an action related to the problem while explaining a scientific idea. Usually, it is assessed both in the summative and formative stages. All these formats ensure the objective of the assessment is achieved (Harlen, 2007). The above exam method promotes learning and acquiring of knowledge among the students.

Group methods of assessment

Assessment is a flexible activity as what is done to an individual during assessment can also be done in a group and still achieve the objectives of the assessment. Group work aims to ensure that students work together. The method is not as smooth as that of an individual’s assessment since awarding of grades is a bit tricky and not straightforward.

The instructors will not know which student has contributed a lot in the group work, unless the same grade is given to group members to create fairness in the process of assessment (Paquette, 2010). It is advisable to consider both the process and finished product when assessing group work.

By just looking at the final work of the group, no one can tell who did what and did not. Individual contributions are implicit in the final project. The teacher should employ some other measures to be able to distribute grades fairly.

The solutions of assessing group include consideration of the process and the final work. The instructor should assess the process involved in the development of the final work. The aspect of the project includes punctuality, cooperation and contribution of the individual student to the group work (Stefanakis, 2010). The participation of each student and teamwork should be assessed.

Fair grading requires looking at the achievement of the objectives of the project. In addition, the instructors can let the students assess and evaluate themselves through group participation. This enhances group teamwork and yields a fair distribution of grades. This is realized because the members of the group know how to research and present written analysis of their work.

Self-assessment aims at realizing respect, promptness, and listening to minority views within the group. Another effective way of ensuring that group work becomes successful is by holding group members accountable. This actually curbs the issue of joy riding among the group members. Individuals are allocated with a certain portion of the entire job.

This involves asking members to demonstrate what they have learned and how they have contributed into the group. In addition, the products and processes are assessed. Another interesting scenario is realized when the instructor gives students the opportunity to evaluate the work of other team members. The gauging of individuals involves the investigating of various aspects of the projects.

These include communication skills, efforts, cooperation, and participation of individual members. It is facilitated by the use of forms, which are completed by the students.

Group work aims at improving both accountability of individuals and vital information due to dynamics experienced in the group. To some extent, an instructor can involve the external feedbacks. These feedbacks are finally incorporated into the final score of the student’s group grade.

There are various mechanisms for assessing and grading the group. First, there is shared grading. Through this, the submitted work of the group is assessed and same grade to all members is awarded without considering the individual’s contribution. Secondly, there is averaging of the group grade. Through this, each member is required to submit the portion allocated.

After assessing the individual’s work, an average of all the members is evaluated and this grade is awarded to group members. This average group grade promotes members to focus on group and individual work. There is also individual grading, where the student’s allocated work is assessed and grades given to individuals.

This enhances efforts during working with all the members. In fact, this method is the fairest way of grading group work. There is also an individual report grading in which each member is required to write individual report. After submitting, assessment is done and a grade is given to the student.

Finally, there is an individual examination grading where questions are examined based on the project. This encourages students to participate fully during the project. It is hard to answer the questions if you have not participated in the group work.

How assessment prepares students for higher education/ workforce/ student character

It is a fact that in any institution exam is an inevitable criterion of assessing students. Whichever the system adopted by the governments of various countries worldwide, exam is an important event as teachers are able to allow those students who perform well to progress in their learning (Stefanakis, 2010). Those who have not met the minimum grading will require extra tuition before they are promoted.

This will involve the initiatives of parents to hire tutors for the student. Exam assessment prepares the student for higher levels of learning, because the higher institutions of learning have exam assessment too. Therefore, it is important for the students to get used to exam as well as research, which will boost the student understanding during lectures in the university or in college.

Similarly, at the end of a university degree course the students are required to carry out a project either as individual or group work. The knowledge and experience of teamwork gained during the lower study levels will play a great role in successful completion of tasks in the university.

Another important factor of assessment is that it helps a student to develop his or her character from childhood to adulthood. For the first time a student joins the school the test should be initiated.

From small things the student is asked by the teacher or by other colleagues, he or she learns how to associate with other students especially during the group work tasks. The student learns and embraces teamwork, cooperation, and accountability. These virtues are a foundation for character. In addition, the student acquires communication skills especially during the presentation of project work or during class sessions.

These small facts about life accumulate and contribute to life outside the school. The student is able to work in any environment. The exam credentials are vital requirements in the job market. All firms base their employment qualification on exams. More often, employers choose best workers based on their exam papers.

This approach has been vital since employers might not have time to assess ability to demonstrate their skills (Stefanakis, 2010). Therefore, the underlying basis is both exam and group assessment. Group assessment helps to build teamwork, which is a vital virtue in the workplace. Most projects in an organization are done in groups. Hence, teamwork aspects are very crucial during implementation.

The student utilizes the knowledge and experience of group work during school. The working environment is not so much different from socialization in school. In any organization, the success of a company is determined by the teamwork and unity of the workers. These vital virtues are learnt and developed in school and are enhanced by assessment.

Harlen, W. (2007). Assessment of learning . Los Angeles, CA: SAGE Publications.

Nitko, A. J. (2001). Educational assessment of students (3rd ed.). Upper Saddle River, N.J.: Merrill.

Paquette, K. R. (2010). Striving for the perfect classroom instructional and assessment strategies to meet the needs of today’s diverse learners . New York: Nova Science Publishers.

Salvia, J. (2001). Assessment (8th ed.). Boston: Houghton Mifflin.

Stefanakis, E. H. (2010). Differentiated assessment how to assess the learning potential of every student . San Francisco: Jossey-Bass.

• The Essence of Summative
• Summative Assessment Planning and Procedure
• A Repair Kit for Grading: 15 Fixes for Broken Grades
• Literacy: Diagnosing Reading Skills, Reporting Progress & Outcome Data
• Convenience and Flexibility of the Online Classes
• New Service to Be Offered: Information Literacy Seminars for New Students
• Teaching and Reading Plan
• Foucault on the Way Formal Institutions Regulate, Discipline or Train Us to Become Certain Kinds of Persons (Subjects)
• Chicago (A-D)
• Chicago (N-B)

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June 21, 2024

The Best Strategy for Learning May Depend on What You’re Trying to Remember

Different approaches can support varied forms of memory

By Emily T. Cowan , Vishnu P. Murty , Benjamin M. Rottman & Yiwen Zhang

Malte Mueller/Getty Images

Repetition is a key element of learning. If you want to remember something, come back to it again and again. But when and how you revisit information matters. Decades of research have shown that people recall information better in the long term when they return to that material over time, rather than trying to rapidly memorize everything in a back-to-back manner. This is the “spacing effect,” one of the most robust and replicated findings in memory research.

Most prior studies on the spacing effect have focused on learning that involves repeating the exact same content over and over. Yet outside of studying for an exam, the environments and situations in which we learn new things are generally much less controlled. Imagine you meet a new co-worker. The next time you encounter each other could be in another location or with a group of people or the new co-worker might have a different haircut. How does such variability impact the benefits to memory associated with the spacing effect?

In two experiments recently published in the Proceedings of the National Academy of Sciences USA , we examined how the spacing effect benefits memory when the repeated material contains a real-world mix of stable and variable features. We found that this kind of variation can make a difference in what you learn and how well you learn it. And although spacing is still a great strategy for certain kinds of knowledge, other tactics can also improve your ability to remember information.

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In both experiments, we assessed how well people could remember pairs of visual images: an item, such as a cartoon character, animal or tool, and a scene, such as a famous location or photograph of a room. For example, participants might see a green, mustachioed man side by side with a photograph of the Eiffel Tower or an image of a hammer together with a kitchen. Our participants observed more than 40 such pairings during what we called “learning sessions.”

We presented each image pair four times across the sessions. To create a mix of stable and variable features, the pairings were either presented identically, with the same item and scene always shown together, or the item appeared alongside a new scene each time. (For instance, the green man might appear with the Eiffel Tower again or beside another landmark, such as the pyramids at Giza or the White House.) To look at how variability influences the spacing effect, we controlled how far apart the four repetitions of the pairs were viewed—either back-to-back or spaced over time.

In the first experiment, which included 157 participants, people engaged in up to four learning sessions each day over a period of 24 days, using the browser on their cell phone. Leveraging the long time frame of this experiment, we spaced out the appearance of repeated item-scene pairs from hours to days. We prompted people to study the pairs by sending text messages asking them to begin each learning session. On the 25th day, participants took a test to see how well they had learned the images.

In our second experiment, 136 people participated via a computer-based platform rather than a cell phone. This time, we compressed all learning into a single session on just one day. We could still repeat the consistent and variable pairs either back-to-back or with spacing—but here learning was distributed only on the order of seconds or minutes.

Together the findings from our two experiments suggest that both spacing and variability can benefit memory, depending on what aspect of an experience you are trying to remember. Our studies allowed us to examine two forms of memory: item memory, the ability to recall an isolated feature (such as the green man), and associative memory, the bound components or relationships between features (such as the green man together with the Eiffel Tower). These two kinds of memory are critical yet different aspects of how we remember experiences. And although they are clearly related, neuroscientists believe that the brain stores and organizes items and associations in distinct ways.

In line with past research, we found that spacing out learning sessions led to better item memory than back-to-back sessions. In other words, participants did a better job recalling whether they had previously encountered the green man, for example, when repetitions of that image had been spaced out.

But people also remembered items better when they had seen them paired with different scenes on each repetition, compared with the items always shown with the same scene. Interestingly, this difference was more pronounced when there was less spacing between the repetitions—such as when the pairs were viewed back-to-back.

That suggests a potential shortcut for people trying to remember a specific detail or feature in a limited amount of time. Say you are trying to remember that a new colleague’s name is Sarah. It might be helpful to think to yourself: “Sarah has brown hair,” “I met Sarah at work,” “Sarah has a dog,” “Sarah is allergic to peanuts,” and so on—rather than simply trying to make Sarah’s name stick in your mind by repeating it. You may not remember all of those details—but your recall for your colleague’s name will improve.

Across both experiments, we found that associative memory benefited from consistency . In other words, people linked the green man and Eiffel Tower more easily provided that that pairing had reappeared reliably across learning sessions.Spacing helped people form these associative memories only when the pairs were the same on every repetition and there was sufficiently long spacing between the repetitions of the pairs (as in the hours or days in our first experiment).

Put another way, if you want to remember both that your colleague’s name is Sarah and that she has a dog, there isn’t really a shortcut: you would need to repeat this information in its entirety over time to make it memorable. It’s possible the distinction between item and associative memory reflects differences in how our brain strengthens and builds memories. That is, the brain could be using change to cement the isolated, stable features in memory while relying on consistency to tie together multiple associated features.

Overall, our work suggests that people can use variability and repetition to enhance memory for various aspects of their experience. Although we didn’t directly investigate educational settings, this work has exciting implications for the classroom, as well as our daily life. For example, depending on what a teacher wants their student to learn, class materials could either be repeated across lessons identically or embedded within a new lesson plan each time, providing a source of variability.

These results reinforce the idea that what we hold on to in memory reflects the multifaceted nature of our real-world experiences. We can’t possibly remember everything we experience, and those experiences are rarely as controlled as in our experimental designs. Leveraging this complexity can open doors into new research to understand how and what we learn and remember.

Are you a scientist who specializes in neuroscience, cognitive science or psychology? And have you read a recent peer-reviewed paper that you would like to write about for Mind Matters? Please send suggestions to Scientific American ’s Mind Matters editor Daisy Yuhas at [email protected] .

This is an opinion and analysis article, and the views expressed by the author or authors are not necessarily those of Scientific American .

Classroom Q&A

With larry ferlazzo.

In this EdWeek blog, an experiment in knowledge-gathering, Ferlazzo will address readers’ questions on classroom management, ELL instruction, lesson planning, and other issues facing teachers. Send your questions to [email protected]. Read more from this blog.

Best Practice on Making Learning Relevant, From Teachers

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Today’s post is the third in a series on how teachers can structure lessons so that students see them as relevant to their lives.

‘Guiding Questions’

Whitney Emke, the associate director of communications for EL Education , is a former special educator. She is a first-generation college student who spent five years in the foster care system and is passionate about the power of education to disrupt intergenerational cycles of poverty and violence:

“How can we keep guns from falling into the wrong hands?” “How healthy am I?”

“What are stereotypes? How do they create problems for people?”

“Why do I need to wear a seatbelt? What style of seatbelt protects me best?”

Questions matter ; that’s why all good learning expeditions begin with guiding questions like those.

Those questions frame inquiry into a topic and lead students to an enduring understanding of broader issues and fundamental concepts within and across disciplines. More importantly, though, they provide or offer an opportunity to explore the “so what?” and the “who cares?” for students, enabling them to find relevance and connect to lessons, projects, and case studies while seeing the big picture of their learning.

Students answer those questions and others by conducting research and fieldwork, gathering and reflecting on data, and talking to relevant experts while practicing rigorous, grade-level academic standards in real-world contexts. This long-term, interdisciplinary learning experience is known as a learning expedition . It is the signature structure of EL Education’s expeditionary learning model, which can be instrumental in making learning more relevant to students’ lives.

Creating learning experiences grounded in asking culturally responsive questions can have transformative outcomes for students.

Educators foster a deep understanding of self and others by intentionally designing lessons that explore and celebrate students’ identities, diverse perspectives, and unique backgrounds. This approach cultivates empathy, compassion, and an appreciation for the richness of cultural diversity. As students delve into topics that reflect their lives, peers, and communities, they develop a sense of belonging and become active participants in their own learning.

Equally important?

As they explore topics that don’t reflect their own lived experiences but rather reflect the diverse lived experiences of people worldwide, students increase their cultural competence and ability to navigate complex global issues with empathy and humility. By answering these culturally responsive questions, students are empowered to become engaged citizens, equipped to contribute positively to their communities and create a more inclusive and equitable society.

At Midtown Academy in Baltimore, middle schoolers were once asked, How can we keep guns from falling into the wrong hands?

This was a profoundly relevant question for residents of a city with the second-highest rate of gun-related deaths in the United States in 2020.

It was also the basis of “Gun Violence and the Right to Bear Arms: Linking the Foundations of American Government to Our Community Today,” a model learning expedition written by Whitney Ward, a former educator at Midtown Academy, with support from EL Education school coach Jaime Stone.

Midtown students spent weeks conducting case studies comparing gun laws from colonial America to the present day and gun violence in Baltimore compared with other major cities. From there, they organized a series of guest lectures from community advocates and experts like the police commissioner, a crime reporter from a local newspaper, and a district court judge. Their learning expedition culminated with a public screening of a podcast they created. Students invited the community for a conversation about gun violence and a memorial featuring student work for those impacted by it.

Jean Hurst—a longtime expeditioner and curriculum designer —believes that a public culmination of learning like this and the sense of responsibility it instills in students are vital to their character development. She says students who engage in real-world, consequential expeditionary learning “aren’t waiting to grow up, to become adults, to get jobs . … They’re already active citizens who understand that they have a responsibility to share their research and the solutions they have uncovered or designed” with their community and the world.

Expeditionary learning and learning expeditions ignite relevance, engagement, and purpose in students’ lives. By merging real-world experiences with academics, educators cultivate meaningful learning that connects to students’ interests and communities. This approach develops essential skills like problem-solving, communication, and empathy, which are vital for success. Moreover, it empowers students to recognize the links between education and the world, motivating them to shape their learning journey and contribute to their communities.

By embracing expeditionary learning, educators can design relevant learning experiences that equip students for academic success and fulfilling lives of active citizenship that begin right now.

‘Provide Choice’

Valerie King is a spirited educator who champions relevancy for her young learners to promote their awareness that they can have world-changing agency. Valerie’s first book Make it Relevant: Strategies to Nurture, Develop and Inspire Young Learners (Scholastic) was published in February 2022:

Do you remember your teachers? I do. I often find it challenging to recall the lessons, entirely, but what remains vivid in my memory is the relevance of the small moments where my teachers were instrumental in providing encouragement, comfort, or tempering, even if the context was challenging.

From Mrs. McDonald tirelessly searching the shelves of the kindergarten workroom to find me something to read, to Miss Hill allowing our class to vote on the shaggy rug for the front of the classroom (we insisted on purple!), and even the occasion when I signed my father’s name on a social studies test in Mrs. Compton’s class—each of these experiences stands out as a testament to the relevant space my teachers created for me.

As education professionals, we have a responsibility to be both cognitively and emotionally relevant to our learners. According to Webster’s, relevance means “being closely connected or appropriate.” While this definition captures the essence of relevance, it lacks the impact that educators need to establish with learners. Educators need to think about the big picture, not just specific lessons, and how they can make a significant impact on their learners. In today’s world, where information is readily available, teachers are no longer the sole keepers of knowledge. Therefore, educators must establish relevance with students for learning to be valuable.

With today’s rapidly changing world, traditional methods of teaching may no longer resonate with students who live in a world that is vastly different from the one their teachers grew up in. As such, it’s crucial for educators to find ways to make their lesson plans relevant to their students. Here are tips on how to achieve that:

1. Understand your students

A robust classroom community is founded upon relationships that foster implicit understanding and must be established, nurtured, and treasured by the teacher. This interdependent, community-driven approach to building relationships sets the stage for the teacher to cultivate a positive, inclusive environment that allows for spontaneity. In our classrooms, we must value a natural appreciation of interdependence, warm demands, belief, trust, and the possibility of failure.

2. Make connections to the real world

When students can see the connection between what they’re learning and how it applies to their lives, they are more likely to be engaged in the material. Similarly, when teachers model the connections, learners begin to make their own connections. Creating authentic learning experiences is a challenging endeavor, but the impact they have on students is profound. Service-learning projects and design-innovation challenges are examples of such experiences. Teachers play a crucial role in curating resources that align with learning objectives and are relevant to the world around us.

3. Let them talk

The importance of social interaction among students cannot be understated, particularly those moments when we simply listen without speaking. It can be tempting to silence our students, but we should remember that the questions they ask provide valuable insight into their priorities. When we allow ideas to flow freely in the classroom, we help our students learn to ask thoughtful questions, discern what is appropriate to discuss, defend their beliefs, and engage in meaningful debate. Allowing students to express themselves without imposing our own views on them is key. In fact, often children can be excellent role models for how to respectfully share differing opinions or ideas. By avoiding silencing our students, we encourage the development of student voice as a valuable virtue.

4. Provide choice

Giving students the opportunity to choose what they learn, how they learn, or what they produce from their learning allows them to pursue their interests and passions, making the material more relevant to them. Sometimes, the smallest choices lead to the biggest buy-in. Consider choice seating, choice partners, choice text, and choice tasks and products as a path to relevancy with learners.

It might appear paradoxical to rely on lessons centered on relevance, given how rapidly significant themes in our world change. However, when we consider the combined impact of understanding our students, connecting the material to a real-world context, embracing social discourse, and providing choice, our classrooms become environments where learners recognize the value of being relevant to their lives.

‘Build Relationships’

Samantha Holquist, Ph.D., is a senior research scientist at ChildTrends. Tameka Porter, Ph.D., is an affiliate scholar from George Mason University. We collaborate with researchers, practitioners, and students to explore culturally responsive classroom methods in P-20 spaces:

The past three years have offered ample evidence of the impact that engagement has on students. Virtual education systems kept schools operational during the early days of the pandemic, giving many students a new sense of autonomy but with limited hands-on learning experiences or opportunities to bond with both teachers and peers.

To understand how we can better support student engagement in middle and high schools as students returned to classrooms following the COVID-19 pandemic, we spoke with over 200 students and 50 teachers from across the United States. We asked questions about what engagement looks like to them as well as supports for and barriers to engagement.

While data collection and analysis are ongoing, preliminary findings show that students and teachers agree that students are more engaged when lessons are directly connected to the real world or feel more relevant to students’ lives. This finding is not necessarily surprising, as previous research has shown that making lessons more relevant to students’ lives increases student engagement.

Based on preliminary findings from the conversations with students and teachers, we identified three tips for making lessons more relevant to students’ lives:

Get to know yourself. Teachers expressed that taking the time to develop a clearer sense of their own self-identity helped them better understand how they related to and built lessons for their students. By reflecting on your multiple identities , roles, personal values, and characteristics, you can understand how your lived experiences and perceptions may impact the ways in which you speak with your students, create your lesson plans, deliver instruction, and receive feedback. By understanding yourself and the ways in which you enter your classroom , you can build stronger positive relationships with your students and better understand their interests.

Build relationships with your students. Students stated that they were less likely to share information about themselves when they didn’t have a relationship with their teacher. For example, when teachers asked them what they wanted to be when they grew up and students did not have a relationship with the teacher, students would say they did not know because they did not feel that the teacher would care about their response. Positive relationships help students feel more comfortable to share their interests and future aspirations with teachers. These insights are necessary for teachers to make lessons more relevant to students’ lives.

Create connections within lessons to students’ interests and future aspirations. After learning about students’ interest and future aspirations, teachers can begin to adjust lessons to create connections to students’ interests and future aspirations, which in turn makes lessons more relevant to students’ lives. It is important to ensure adjustments made to lessons are open-ended enough to engage students with diverse interests and aspirations. These open-ended adjustments may include (a) incorporating choice into lesson activities, where students get to choose to explore a lesson across different interests and aspirations relevant to them, or (b) develop group-based lesson activities where students with different interests and aspirations can work together to explore a lesson.

Finally, one of the best ways to make lessons more relevant to students is to ask them directly. Giving students the opportunity to provide input on and lead what and how they’re learning gives them a sense of control and ownership of their learning experience. Finding small ways to be responsive to student feedback and make feasible and reasonable adjustments to lessons could mean the difference between an engaged learner and one simply present.

Thanks to Whitney, Valerie, Samantha, and Tameka for contributing their thoughts!

Today’s guests answered this question:

What are ways to make lessons more “relevant” to students’ lives?

In Part One , Meagan W. Taylor, Tonia Gibson, and Alexis Wiggins shared their ideas.

In Part Two , Georgina Rivera, Kelly Gallagher, and Mike Kaechele answered the same question.

Consider contributing a question to be answered in a future post. You can send one to me at [email protected] . When you send it in, let me know if I can use your real name if it’s selected or if you’d prefer remaining anonymous and have a pseudonym in mind.

You can also contact me on X formerly known as Twitter at @Larryferlazzo .

Just a reminder; you can subscribe and receive updates from this blog via email . And if you missed any of the highlights from the first 12 years of this blog, you can see a categorized list here .

The opinions expressed in Classroom Q&A With Larry Ferlazzo are strictly those of the author(s) and do not reflect the opinions or endorsement of Editorial Projects in Education, or any of its publications.

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Faculty Engagement In Professional Development

Responses to the transition to online learning during the pandemic underscores the importance of faculty engagement in professional development (PD) to enhance their teaching practices. However, the creation and offering of PD opportunities does not always lead to faculty engagement. Using a change management perspective (the ADKAR framework), this paper examines the facilitators and barriers to instructor engagement in a self-paced, online PD program addressing instructional skills for managing students’ experiences of test anxiety in the classroom. Seven university faculty members participated in focus groups to share their experiences of a pilot PD program in the program. The focus group data were deductively analyzed using the ADKAR framework. Key themes were identified, corresponding to the outcomes of ADKAR: awareness, desire, knowledge, ability, and reinforcements. Findings emphasized the value of considering PD as a change project, while also recognizing staff well-being as a significant factor that impacts engagement with the change process.

Copyright (c) 2024 Thomas Qiao, Brenda McDermott, Jennifer E. Thannhauser

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The Process of Learning from Experience

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12 Ways AI in Education is Transforming the Industry

The Deepening Penetration of AI in Modern Education System

Traditional classroom vs. ai-powered classrooms, ai use cases in education: transforming teaching patterns, 1. personalized learning, 2. smart content creation, 3. automated administrative operations, 4. ai-driven classrooms for adaptable access, 5. curriculum planning and development, 6. self-directed learning via conversational ai, 7. closing the skill gap, 8. customized data-based feedback, 9. secure and decentralized learning systems, 10. ai in examinations, 11. language learning, 12. special education support, significant benefits edtech businesses experience with the merger of ai and education, enhances student engagement, automates administrative tasks, gives data-driven insights, improves collaboration, predictive analytics, generative ai-driven adaptive learning, practical applications of artificial intelligence in education, squirrel ai, how to integrate ai in education for advanced learning and administration, ai implementation in education: setbacks and solutions, what is the cost of ai education app development, the future of ai in education, leverage the benefits of ai in education with appinventiv, q. how can ai be used in education, q. what is the use of generative ai in higher education, q. what challenges does artificial intelligence resolve for the modern education sector.

In the past few years, artificial intelligence has really taken off, shaking up society on both economic and cultural levels. The rapidly evolving technology has become as ubiquitous as email, transforming nearly every aspect of our daily lives, including how we teach and learn.

AI in education can personalize learning experiences, redefine teaching practices, offer real-time feedback, and support educators with advanced tools and insights, leading to more effective and engaging educational environments. What’s more? Artificial intelligence in education holds immense potential to address the gaps that global education systems are struggling with and revolutionize the entire industry with its diverse use cases (detail later).

This is why educators worldwide are increasingly leveraging AI, with successful pilot projects and broader implementations underway. This merger of AI and education has brought a whole new concept of learning into the industry vertical.

In October 2023, Forbes Advisor conducted a survey of 500 educators across the US to gather insights on their experiences with the cons and pros of AI in education. The results showed that more than half of the teachers feel AI in schools has positively impacted the teaching and learning process.

With more EdTech businesses adopting AI technology , it is high time you should know the applications, benefits, and examples of AI in education. So, let’s get started by quickly examining how the blend of AI and education is a cut above traditional teaching methods.

We will also shed some light on the future prospects of the AI-driven EdTech industry and explore its implementation process and challenges along the way. What’s more? The blog also unravels the answer to the most asked question, “What is the cost of AI education app development?”

AI education software development has revolutionized traditional learning methods, from mobile digital courses to online references and virtual classrooms. This advanced technology has become integral to modern educational environments, replacing traditional teaching methods. How?

Artificial intelligence in education offers personalized learning experiences, automates administrative tasks, and provides real-time data analysis. Furthermore, Generative AI in education promotes creativity and innovation among students. By leveraging generative AI technologies, educators can create interactive and dynamic content such as quizzes, exercises, and simulations tailored to each student’s needs, enhancing their learning experiences.

Unsurprisingly, the integration of AI and Generative AI in education not only improves the learning process but also encourages critical thinking and problem-solving skills. As AI continues to deepen its roots in education, its applications are expanding widely, making education more accessible and effective. The trend is clear: AI and Generative AI empower both educators and students to achieve greater learning outcomes.

Still unsure how artificial intelligence in education can revolutionize traditional teaching patterns and address the challenges of education systems? Well, here is a quick comparison between traditional and AI-driven classrooms, helping you gain an insight into the growing impact of AI on education.

AI in education streamlines various tasks and makes learning easy and engaging. Here are 12 prominent AI use cases in education that illustrate how this technology is used to revolutionize learning and educational practices.

Not every student adapts to knowledge the same way. Some grasp quickly, whereas some need time. The conventional learning system lacked the concept of customized learning for every unique student. This is where AI in online education comes to the rescue.

AI in the education sector ensures that educational software is personalized for every individual. Moreover, with supporting technologies like machine learning, the system backs up how the student perceives various lessons and adapts to that process to minimize the burden.

This blend of AI and education focuses on every individual’s requirements through AI-embedded games, customized programs, and other features promoting effective learning.

Content creation is indeed one of the most powerful AI applications in education. This advanced technology helps teachers and researchers create smart content for convenient teaching and learning. Here are a few examples of AI smart content creation:

Information Visualization

Where traditional teaching methods cannot offer visual elements except lab tryouts, AI smart content creation stimulates the real-life experience of visualized web-based study environments. The technology helps with 2D-3D visualization, where students can perceive information differently.

Digital Lesson Generation

AI for education can help generate bit-size learning through low-storage study materials and other lessons in digital format. This way, students and experts can leverage the entire study material without taking up much space in the system. Moreover, these materials are accessible from any device, anywhere and anytime, so you don’t have to worry about remote learning.

For instance, Appinventiv developed Gurushala , an online learning platform that educates millions of students by providing free study material and other interactive learning methods.

Our consistent efforts led to the creation of a platform that received 2 Million in funding and over 20 national media mentions. The platform is also a true example of how technologies like artificial intelligence can radically change the digital education ecosystem.

Frequent Content Updates

The application of AI in education allows users to create and update information frequently to keep the lessons up-to-date with time. The users also get notified whenever new information is added, which helps prepare them for upcoming tasks.

With AI in school education and virtual classrooms, the technology takes up most value-added tasks. Along with creating a tailored teaching process, AI for education can check homework, grade tests, organize research papers, maintain reports, make presentations and notes, and manage other administrative tasks.

This is why businesses rely on integrating AI solutions for education to achieve their daily goals. By automating everyday activities, AI makes the learning environment more knowledgeable and productive.

With adaptable access to information, teachers can leverage the maximum benefits of AI in the classrooms. As per the Forbes Advisor survey, more than 60% of educators worldwide rely on AI-driven classrooms to simplify and streamline their daily teaching responsibilities. How?

• AI-driven features like multilingual support help translate information into various languages, making it convenient for every native to teach and learn.
• AI also plays a vital role in teaching visually or hearing-impaired students.
• AI-powered converter tools like Presentation Translator provide real-time subtitles for virtual lectures.
• Teachers frequently use AI-powered educational games, adaptive learning platforms, and automated grading and feedback systems in the classrooms.

AI assists in developing and updating curricula by analyzing educational trends, student performance data, and learning gaps. It provides real-time insights and recommendations for curriculum updates and adjustments, keeping educational content aligned with current standards. AI also automates the process of matching curricula to specific learning objectives, ensuring they remain relevant and effective. This innovation allows educators to make informed, data-driven decisions and better allocate resources, enhancing the overall quality and relevancy of education.

Conversational AI solutions like virtual assistants and AI chatbots for education play a crucial role in enhancing students’ learning patterns and experiences. With their natural language processing and machine learning algorithms, these advanced systems provide immediate assistance by assisting students with assignments, answering questions, resolving doubts, and providing valuable feedback. Creating interactive and engaging learning experiences allows students to grasp concepts more easily and retain information better.

Also, with their 24/7 availability, these tools extend support beyond traditional class hours, catering to students’ needs whenever they arise. By offering personalized guidance, these technologies promote self-directed learning and empower students to interact actively with educational materials. This personalized approach contributes significantly to their academic growth and achievements.

We are facing a significant challenge—not only do we have many out-of-school children who need to be reintegrated into the system, but those currently in school are not learning the skills necessary for a smooth transition into the labor market.

AI- and ML-powered software and applications can significantly address these skill gaps and deliver widely available opportunities for students to upskill.

This is not just limited to students; upskilling and training the existing business workforce can boost morale and spark a company-wide commitment to innovation and digital transformation .

On top of that, the use of AI in the education sector impacts the L&D (Learning and Development) arena by analyzing how people acquire skills. As soon as the system adapts to human ways of studying and learning, it automates the learning process accordingly.

Feedback is integral to designing impactful learning experiences, whether in a classroom or workplace setting. Effective teaching goes beyond delivering content—it involves providing continuous feedback. Here, trustworthy feedback is essential, which is why AI for education analyzes and generates insights from everyday data.

A data-based feedback system enhances student satisfaction, removes the bias factor from learning, and identifies areas for skill improvement. This feedback is tailored to each individual’s performance, whether they are students or employees, as recorded in the system.

The education industry is delivering rapid innovations with AI but is often held back by issues like data protection, alterable data accessibility, outdated certification processes, etc. Amidst all these challenges, AI-based decentralized solutions can bring a positive technical revolution to the education sector.

For instance, Nova, a blockchain-based learning management system crafted by Appinventiv, resolves the authentication issues prevalent in the education market. This LMS is powered and backed up by AI and blockchain technology , which helps millions of teachers and students with data and information protection solutions.

AI software systems can be actively used in examinations and interviews to help detect suspicious behavior and alert the supervisor. The AI programs track each individual through web cameras, microphones, web browsers, etc., and perform a keystroke analysis, where any movement alerts the system.

AI has significantly enhanced language learning by offering instant real-time feedback on grammar, pronunciation, fluency, and vocabulary. AI-driven platforms like Duolingo tailor lessons to individual learning styles and proficiency levels. By continuously analyzing user performance, AI adjusts the difficulty and content of lessons, providing tailored support for each student.

Additionally, the gamified approach of AI-driven platforms simulates real-life conversations, delivering an immersive and effective language learning experience.

AI technology in education provides customized support to students with diverse needs, catering to the unique abilities of each student. AI can assist in diagnosing learning disabilities early on, enabling timely interventions. Additionally, AI-driven assistive technologies, such as text-to-speech and speech-to-text applications , empower students with visual and auditory impairments or dyslexia disorder to access educational content seamlessly.

AI also facilitates the creation of inclusive classrooms by providing real-time translation and captioning services, ensuring that all students can participate fully in the learning process. These advancements not only enhance the educational experience for students with special needs but also promote equity and inclusion in education.

You may like reading: How to Build an ADA and WCAG-Compliant Application?

The applications of AI in education can be beneficial in more ways than one can imagine. This is why EdTech startups and enterprises are attracted to AI technology solutions that successfully address the wide range of users’ pain points. Therefore, if you are a part of the education sector, you must consider implementing and leveraging the advantages of AI in education, if not yet.

Owing to the varied use cases, AI in the education industry offers several benefits, redefining the way students learn and educators teach. Here are some key benefits of artificial intelligence in education:

AI-powered tools such as interactive chatbots, virtual tutors, and gamified learning platforms make learning fun and engaging. These tools help enhance students’ interest and interaction with the educational materials.

AI in the education industry helps automate routine administrative tasks like scheduling, grading, and student enrollment. It saves educators and administration staff valuable time, allowing them to focus more on value-added activities.

AI solutions for education analyze vast amounts of educational data to identify student performance and provide insights for curriculum improvement. Educators can make informed decisions based on these insights to refine their teaching strategies.

Artificial intelligence in education facilitates collaborative learning through cutting-edge tools that enable group projects, peer assessments, and interactive discussions, fostering a more connected and interactive learning environment.

AI-based predictive analytics can spot early warning signs of academic challenges and predict student outcomes based on their learning patterns. It helps educators identify at-risk students early and intervene with appropriate support measures like additional tutoring or customized learning materials.

Related Article: A Comprehensive Guide on Using Predictive Analytics for Mobile Apps

Generative AI in education enables educators to create engaging simulations, personalized quizzes, and adaptive exercises tailored to each student’s learning patterns. This personalized approach fosters active learning environments where students can explore, experiment, and master concepts at their own pace. It helps improve critical thinking and problem-solving skills essential for success in the digital age.

AI applications in education are transforming how students learn by offering an adaptive learning experience tailored to their individual abilities and requirements. Here is a more thorough explanation of how a few top global brands and IT consulting firms are merging AI and education to create intuitive and groundbreaking AI-based EdTech applications. So, without further ado, let’s have a quick look at some real-world examples of artificial intelligence in education.

Google Classroom is a well-known tool that incorporates AI to simplify several facets of teaching. It allows teachers to design and assign tasks, give feedback, and effectively control classroom interactions. The Google Classroom AI algorithms can support automated grading, make individualized recommendations for learning materials, and examine student data to provide insights on performance and growth.

Google Translate and Google Scholar are powerful tools that greatly enhance students’ and educators’ learning and research experience. With Google Translate, language barriers are no longer an obstacle as they provide instant text, websites, and even spoken language translations.

Meanwhile, Google Scholar utilizes AI algorithms to analyze and index scholarly articles, research papers, and academic resources, making it easier for students, researchers, and educators to find relevant and authoritative sources for their studies.

The well-known language learning app Duolingo uses AI to develop flexible language lessons. AI systems monitor students’ progress, spot areas for development, and modify the course contents as necessary.

The application offers individualized lessons, vocabulary drills, and interactive tests to support language learners as they advance their proficiency. To aid in efficient language learning, AI also contributes to speech recognition, pronunciation feedback, and the creation of interesting material.

Read this blog to know how much a Duolingo-like app costs .

Coursera utilizes AI to revolutionize online education. With personalized course recommendations, adaptive learning paths, and automated assessments, students can receive tailored suggestions and timely feedback.

The AI algorithms analyze user preferences and performance data to suggest relevant courses, dynamically adjust course content based on learners’ progress, and provide instant grading and feedback. These AI-driven features enhance the learning experience, ultimately improving engagement and outcomes in online education.

Read the linked blog to know the cost to build an EdTech app like Coursera .

Quizlet, a multinational American company that provides tools for studying and learning, uses AI to enhance the study experience through its adaptive learning platform. The AI-powered “Learn” mode creates personalized study plans by identifying which concepts students know well and which they need to focus on.

This educational application ensures efficient and effective study sessions by adjusting the difficulty and types of questions based on user performance. Additionally, Quizlet employs AI to generate practice tests and interactive flashcards, making studying more engaging and tailored to individual learning needs.

Squirrel AI is the world’s first international educational technology company to deliver large-scale AI-powered adaptive learning solutions that personalize education in real time. By continuously assessing student knowledge and learning behavior, Squirrel AI customizes learning paths, adjusting content and exercises to match each student’s level and pace.

The platform identifies knowledge gaps and predicts learning outcomes, helping students improve their performance and achieve mastery in various subjects. Additionally, Squirrel AI provides teachers with detailed insights into student progress, enabling more targeted and effective instruction.

Leveraging the benefits of artificial intelligence in education involves several key steps to ensure its successful integration into the education system. Here is an overview of how to implement AI in education:

• Identify specific AI use cases in education where the technology can enhance educational processes.
• Collect relevant data from various sources, such as student results, curriculum materials, administrative records, etc., to derive insights and make informed decisions.
• Choose the right AI tools and technologies that align with the identified use cases. It includes ML for personalized learning, NLP for chatbots and virtual assistants, and computer vision for automated grading systems.
• Collaborate with a reputed AI development company to build custom applications tailored to your institution’s specific needs.
• Begin with MVP development or pilot projects to test AI solutions in real educational settings.
• Integrate the developed AI-driven solution with existing educational systems and platforms.
• Provide comprehensive training to educators, administrators, and IT staff to familiarize them with the applications and benefits of generative AI in education.
• Continuously monitor the performance and impact of AI in education and make adjustments as necessary to optimize AI integration.
• Encourage collaboration among researchers, educators, and AI developers to share best practices, research findings, and innovations in AI-driven education.

Check out our comprehensive guide on AI integration and implementation to delve deeper into the intricacies of AI integration in education and explore successful implementation strategies.

While implementing AI in education is a systematic process, it comes with its own set of challenges. However, with strategic solutions, these hurdles can be effectively overcome. Here is a brief table highlighting some common challenges and their solutions to ensure successful AI integration in educational institutions.

On average, the cost to develop an AI education platform ranges between $30,000 to $300,000 or more, depending on your unique project requirements. However, this is just a rough estimate; the actual cost can increase or decrease based on several factors, including the project’s complexity, required features, UI/UX design , location of AP app development company, platform compatibility, chosen tech stack , and so on.

Here is a table highlighting the cost and timeline of AI education app development based on the project’s complexity and required features.

Explore our detailed blog to gain in-depth insight into determining factors for AI-driven mobile app development costs . Discover ways to budget effectively and essential features to generate ROI in your educational technology initiatives.

Related Article: How Much does it Cost to Build an Educational App?

The future of AI in education is transformative. The technology is poised to revolutionize the education sector, redefining traditional teaching methods and paving the way for a tech-driven future. As we move towards a more technologically advanced society, AI solutions for education analyze enormous data sets using sophisticated algorithms, providing personalized and adaptable learning experiences. Students get personalized learning, immediate feedback, and access to immersive technologies like augmented and virtual reality in education .

Furthermore, conversational AI in education offers immediate assistance and intelligent tutoring, promoting independent learning by closely observing the content consumption pattern and catering to students’ needs accordingly. This technology is crucial for distance learning and corporate training, allowing students to balance their studies with personal and professional commitments.

Undoubtedly, AI trends enhance student engagement through customized courses, interactive lectures, and gamified classrooms, contributing to the rapid growth of EdTech. As a result, the global AI education market is predicted to cross $32.27 billion by 2030, highlighting and illuminating the future of AI in education.

The above graph depicts how businesses are collectively investing billions of dollars in a wide range of AI applications, from education app development, robotics , virtual assistance, and natural language to computer vision and machine learning in education.

In response to the growing use of AI in education, organizations like the U.S. Department of Education (ED) and UNESCO advocate for responsible AI use, prompting leading companies to adapt their products accordingly.

For example, in May 2024, OpenAI introduced ChatGPT Edu, a version of ChatGPT designed for higher education institutions with enhanced security and privacy measures. This development underscores the ongoing evolution of AI for education and its potentials to shape future classrooms.

With these technological advancements transforming the educational landscape, the future of artificial intelligence in education promises to deliver more efficient, engaging, and personalized learning experiences.

The impact of AI on education is immeasurable and undeniable. Many businesses are now leveraging the pros of AI in education to improve students’ learning experience. Some businesses use AI chatbots for education to provide students with 24/7 support, while others use AI algorithms to identify struggling students and provide targeted interventions. The possibilities are endless. So, to improve your education business, consider integrating our generative AI services into your teaching strategy. It is a smart investment that will pay attractive ROI in the long run.

Appinventiv, as a leading provider of education app development services , carries deep insights into the education sector. With a proven track record of delivering 3000+ successful projects, our expertise empowers us to craft impactful applications and AI-driven learning platforms. These innovative solutions personalize learning experiences, provide intelligent insights, and enhance collaboration between teachers and students.

So what are you waiting for? Reach out to our experts to leverage the benefits of AI in education now.

A. Here are a few significant AI in education applications and use cases:

• Producing smart content
• Contributing to task automation
• Ensuring universal access to education
• Providing 24*7 assistance
• Customizing information for every individual
• Self-directed learning via conversational AI
• Closes the skill gap
• Customized data-based feedback
• Curriculum planning and development
• Secure and decentralized learning systems
• Language learning
• Special education support

To get an in-depth insight into AI use cases in the education sector, please refer to the above blog.

A. Generative AI in higher education refers to the use of artificial intelligence technologies that can create engaging and interactive content such as quizzes, exercises, and simulations tailored to individual student needs and learning patterns.

Gen AI supports the applications of personalized learning methods, where students can explore diverse educational materials curated based on their learning preferences, patterns, skills and progress.

A. AI solves several modern education challenges, such as closing the technology gap between students and teachers, keeping the learning system ethical and transparent, allowing remote learning, and developing quality data and information solutions for the modern education process.

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