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55 Brilliant Research Topics For STEM Students

Primarily, STEM is an acronym for Science, Technology, Engineering, and Mathematics. It’s a study program that weaves all four disciplines for cross-disciplinary knowledge to solve scientific problems. STEM touches across a broad array of subjects as STEM students are required to gain mastery of four disciplines.

As a project-based discipline, STEM has different stages of learning. The program operates like other disciplines, and as such, STEM students embrace knowledge depending on their level. Since it’s a discipline centered around innovation, students undertake projects regularly. As a STEM student, your project could either be to build or write on a subject. Your first plan of action is choosing a topic if it’s written. After selecting a topic, you’ll need to determine how long a thesis statement should be .

Given that topic is essential to writing any project, this article focuses on research topics for STEM students. So, if you’re writing a STEM research paper or write my research paper , below are some of the best research topics for STEM students.

List of Research Topics For STEM Students

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Several research topics can be formulated in this field. They cut across STEM science, engineering, technology, and math. Here is a list of good research topics for STEM students.

• The effectiveness of online learning over physical learning
• The rise of metabolic diseases and their relationship to increased consumption
• How immunotherapy can improve prognosis in Covid-19 progression

For your quantitative research in STEM, you’ll need to learn how to cite a thesis MLA for the topic you’re choosing. Below are some of the best quantitative research topics for STEM students.

• A study of the effect of digital technology on millennials
• A futuristic study of a world ruled by robotics
• A critical evaluation of the future demand in artificial intelligence

There are several practical research topics for STEM students. However, if you’re looking for qualitative research topics for STEM students, here are topics to explore.

• An exploration into how microbial factories result in the cause shortage in raw metals
• An experimental study on the possibility of older-aged men passing genetic abnormalities to children
• A critical evaluation of how genetics could be used to help humans live healthier and longer.

Experimental research in STEM is a scientific research methodology that uses two sets of variables. They are dependent and independent variables that are studied under experimental research. Experimental research topics in STEM look into areas of science that use data to derive results.

Below are easy experimental research topics for STEM students.

• A study of nuclear fusion and fission
• An evaluation of the major drawbacks of Biotechnology in the pharmaceutical industry
• A study of single-cell organisms and how they’re capable of becoming an intermediary host for diseases causing bacteria

Unlike experimental research, non-experimental research lacks the interference of an independent variable. Non-experimental research instead measures variables as they naturally occur. Below are some non-experimental quantitative research topics for STEM students.

• Impacts of alcohol addiction on the psychological life of humans
• The popularity of depression and schizophrenia amongst the pediatric population
• The impact of breastfeeding on the child’s health and development

STEM learning and knowledge grow in stages. The older students get, the more stringent requirements are for their STEM research topic. There are several capstone topics for research for STEM students .

Below are some simple quantitative research topics for stem students.

• How population impacts energy-saving strategies
• The application of an Excel table processor capabilities for cost calculation
•  A study of the essence of science as a sphere of human activity

Correlations research is research where the researcher measures two continuous variables. This is done with little or no attempt to control extraneous variables but to assess the relationship. Here are some sample research topics for STEM students to look into bearing in mind how to cite a thesis APA style for your project.

• Can pancreatic gland transplantation cure diabetes?
• A study of improved living conditions and obesity
• An evaluation of the digital currency as a valid form of payment and its impact on banking and economy

There are several science research topics for STEM students. Below are some possible quantitative research topics for STEM students.

• A study of protease inhibitor and how it operates
• A study of how men’s exercise impacts DNA traits passed to children
• A study of the future of commercial space flight

If you’re looking for a simple research topic, below are easy research topics for STEM students.

• How can the problem of Space junk be solved?
• Can meteorites change our view of the universe?
• Can private space flight companies change the future of space exploration?

For your top 10 research topics for STEM students, here are interesting topics for STEM students to consider.

• A comparative study of social media addiction and adverse depression
• The human effect of the illegal use of formalin in milk and food preservation
• An evaluation of the human impact on the biosphere and its results
• A study of how fungus affects plant growth
• A comparative study of antiviral drugs and vaccine
• A study of the ways technology has improved medicine and life science
• The effectiveness of Vitamin D among older adults for disease prevention
• What is the possibility of life on other planets?
• Effects of Hubble Space Telescope on the universe
• A study of important trends in medicinal chemistry research

Below are possible research topics for STEM students about plants:

• How do magnetic fields impact plant growth?
• Do the different colors of light impact the rate of photosynthesis?
• How can fertilizer extend plant life during a drought?

Below are some examples of quantitative research topics for STEM students in grade 11.

• A study of how plants conduct electricity
• How does water salinity affect plant growth?
• A study of soil pH levels on plants

Here are some of the best qualitative research topics for STEM students in grade 12.

• An evaluation of artificial gravity and how it impacts seed germination
• An exploration of the steps taken to develop the Covid-19 vaccine
• Personalized medicine and the wave of the future

Here are topics to consider for your STEM-related research topics for high school students.

• A study of stem cell treatment
• How can molecular biological research of rare genetic disorders help understand cancer?
• How Covid-19 affects people with digestive problems

Below are some survey topics for qualitative research for stem students.

• How does Covid-19 impact immune-compromised people?
• Soil temperature and how it affects root growth
• Burned soil and how it affects seed germination

Here are some descriptive research topics for STEM students in senior high.

• The scientific information concept and its role in conducting scientific research
• The role of mathematical statistics in scientific research
• A study of the natural resources contained in oceans

Final Words About Research Topics For STEM Students

STEM topics cover areas in various scientific fields, mathematics, engineering, and technology. While it can be tasking, reducing the task starts with choosing a favorable topic. If you require external assistance in writing your STEM research, you can seek professional help from our experts.

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200+ Experimental Quantitative Research Topics For STEM Students In 2023

STEM means Science, Technology, Engineering, and Math, which is not the only stuff we learn in school. It is like a treasure chest of skills that help students become great problem solvers, ready to tackle the real world’s challenges.

In this blog, we are here to explore the world of Research Topics for STEM Students. We will break down what STEM really means and why it is so important for students. In addition, we will give you the lowdown on how to pick a fascinating research topic. We will explain a list of 200+ Experimental Quantitative Research Topics For STEM Students.

And when it comes to writing a research title, we will guide you step by step. So, stay with us as we unlock the exciting world of STEM research – it is not just about grades; it is about growing smarter, more confident, and happier along the way.

What Is STEM?

Table of Contents

STEM is Science, Technology, Engineering, and Mathematics. It is a way of talking about things like learning, jobs, and activities related to these four important subjects. Science is about understanding the world around us, technology is about using tools and machines to solve problems, engineering is about designing and building things, and mathematics is about numbers and solving problems with them. STEM helps us explore, discover, and create cool stuff that makes our world better and more exciting.

Why STEM Research Is Important?

STEM research is important because it helps us learn new things about the world and solve problems. When scientists, engineers, and mathematicians study these subjects, they can discover cures for diseases, create new technology that makes life easier, and build things that help us live better. It is like a big puzzle where we put together pieces of knowledge to make our world safer, healthier, and more fun.

• STEM research leads to new discoveries and solutions.
• It helps find cures for diseases.
• STEM technology makes life easier.
• Engineers build things that improve our lives.
• Mathematics helps us understand and solve complex problems.

How to Choose a Topic for STEM Research Paper

Here are some steps to choose a topic for STEM Research Paper:

Step 1: Identify Your Interests

Think about what you like and what excites you in science, technology, engineering, or math. It could be something you learned in school, saw in the news, or experienced in your daily life. Choosing a topic you’re passionate about makes the research process more enjoyable.

Step 2: Research Existing Topics

Look up different STEM research areas online, in books, or at your library. See what scientists and experts are studying. This can give you ideas and help you understand what’s already known in your chosen field.

Step 3: Consider Real-World Problems

Think about the problems you see around you. Are there issues in your community or the world that STEM can help solve? Choosing a topic that addresses a real-world problem can make your research impactful.

Step 4: Talk to Teachers and Mentors

Discuss your interests with your teachers, professors, or mentors. They can offer guidance and suggest topics that align with your skills and goals. They may also provide resources and support for your research.

Step 5: Narrow Down Your Topic

Once you have some ideas, narrow them down to a specific research question or project. Make sure it’s not too broad or too narrow. You want a topic that you can explore in depth within the scope of your research paper.

Here we will discuss 200+ Experimental Quantitative Research Topics For STEM Students: 

Qualitative Research Topics for STEM Students:

Qualitative research focuses on exploring and understanding phenomena through non-numerical data and subjective experiences. Here are 10 qualitative research topics for STEM students:

• Exploring the experiences of female STEM students in overcoming gender bias in academia.
• Understanding the perceptions of teachers regarding the integration of technology in STEM education.
• Investigating the motivations and challenges of STEM educators in underprivileged schools.
• Exploring the attitudes and beliefs of parents towards STEM education for their children.
• Analyzing the impact of collaborative learning on student engagement in STEM subjects.
• Investigating the experiences of STEM professionals in bridging the gap between academia and industry.
• Understanding the cultural factors influencing STEM career choices among minority students.
• Exploring the role of mentorship in the career development of STEM graduates.
• Analyzing the perceptions of students towards the ethics of emerging STEM technologies like AI and CRISPR.
• Investigating the emotional well-being and stress levels of STEM students during their academic journey.

Easy Experimental Research Topics for STEM Students:

These experimental research topics are relatively straightforward and suitable for STEM students who are new to research:

•  Measuring the effect of different light wavelengths on plant growth.
•  Investigating the relationship between exercise and heart rate in various age groups.
•  Testing the effectiveness of different insulating materials in conserving heat.
•  Examining the impact of pH levels on the rate of chemical reactions.
•  Studying the behavior of magnets in different temperature conditions.
•  Investigating the effect of different concentrations of a substance on bacterial growth.
•  Testing the efficiency of various sunscreen brands in blocking UV radiation.
•  Measuring the impact of music genres on concentration and productivity.
•  Examining the correlation between the angle of a ramp and the speed of a rolling object.
•  Investigating the relationship between the number of blades on a wind turbine and energy output.

Research Topics for STEM Students in the Philippines:

These research topics are tailored for STEM students in the Philippines:

•  Assessing the impact of climate change on the biodiversity of coral reefs in the Philippines.
•  Studying the potential of indigenous plants in the Philippines for medicinal purposes.
•  Investigating the feasibility of harnessing renewable energy sources like solar and wind in rural Filipino communities.
•  Analyzing the water quality and pollution levels in major rivers and lakes in the Philippines.
•  Exploring sustainable agricultural practices for small-scale farmers in the Philippines.
•  Assessing the prevalence and impact of dengue fever outbreaks in urban areas of the Philippines.
•  Investigating the challenges and opportunities of STEM education in remote Filipino islands.
•  Studying the impact of typhoons and natural disasters on infrastructure resilience in the Philippines.
•  Analyzing the genetic diversity of endemic species in the Philippine rainforests.
•  Assessing the effectiveness of disaster preparedness programs in Philippine communities.

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Good Research Topics for STEM Students:

These research topics are considered good because they offer interesting avenues for investigation and learning:

•  Developing a low-cost and efficient water purification system for rural communities.
•  Investigating the potential use of CRISPR-Cas9 for gene therapy in genetic disorders.
•  Studying the applications of blockchain technology in securing medical records.
•  Analyzing the impact of 3D printing on customized prosthetics for amputees.
•  Exploring the use of artificial intelligence in predicting and preventing forest fires.
•  Investigating the effects of microplastic pollution on aquatic ecosystems.
•  Analyzing the use of drones in monitoring and managing agricultural crops.
•  Studying the potential of quantum computing in solving complex optimization problems.
•  Investigating the development of biodegradable materials for sustainable packaging.
•  Exploring the ethical implications of gene editing in humans.

Unique Research Topics for STEM Students:

Unique research topics can provide STEM students with the opportunity to explore unconventional and innovative ideas. Here are 10 unique research topics for STEM students:

•  Investigating the use of bioluminescent organisms for sustainable lighting solutions.
•  Studying the potential of using spider silk proteins for advanced materials in engineering.
•  Exploring the application of quantum entanglement for secure communication in the field of cryptography.
•  Analyzing the feasibility of harnessing geothermal energy from underwater volcanoes.
•  Investigating the use of CRISPR-Cas12 for rapid and cost-effective disease diagnostics.
•  Studying the interaction between artificial intelligence and human creativity in art and music generation.
•  Exploring the development of edible packaging materials to reduce plastic waste.
•  Investigating the impact of microgravity on cellular behavior and tissue regeneration in space.
•  Analyzing the potential of using sound waves to detect and combat invasive species in aquatic ecosystems.
•  Studying the use of biotechnology in reviving extinct species, such as the woolly mammoth.

Experimental Research Topics for STEM Students in the Philippines

Research topics for STEM students in the Philippines can address specific regional challenges and opportunities. Here are 10 experimental research topics for STEM students in the Philippines:

•  Assessing the effectiveness of locally sourced materials for disaster-resilient housing construction in typhoon-prone areas.
•  Investigating the utilization of indigenous plants for natural remedies in Filipino traditional medicine.
•  Studying the impact of volcanic soil on crop growth and agriculture in volcanic regions of the Philippines.
•  Analyzing the water quality and purification methods in remote island communities.
•  Exploring the feasibility of using bamboo as a sustainable construction material in the Philippines.
•  Investigating the potential of using solar stills for freshwater production in water-scarce regions.
•  Studying the effects of climate change on the migration patterns of bird species in the Philippines.
•  Analyzing the growth and sustainability of coral reefs in marine protected areas.
•  Investigating the utilization of coconut waste for biofuel production.
•  Studying the biodiversity and conservation efforts in the Tubbataha Reefs Natural Park.

Capstone Research Topics for STEM Students in the Philippines:

Capstone research projects are often more comprehensive and can address real-world issues. Here are 10 capstone research topics for STEM students in the Philippines:

•  Designing a low-cost and sustainable sanitation system for informal settlements in urban Manila.
•  Developing a mobile app for monitoring and reporting natural disasters in the Philippines.
•  Assessing the impact of climate change on the availability and quality of drinking water in Philippine cities.
•  Designing an efficient traffic management system to address congestion in major Filipino cities.
•  Analyzing the health implications of air pollution in densely populated urban areas of the Philippines.
•  Developing a renewable energy microgrid for off-grid communities in the archipelago.
•  Assessing the feasibility of using unmanned aerial vehicles (drones) for agricultural monitoring in rural Philippines.
•  Designing a low-cost and sustainable aquaponics system for urban agriculture.
•  Investigating the potential of vertical farming to address food security in densely populated urban areas.
•  Developing a disaster-resilient housing prototype suitable for typhoon-prone regions.

Experimental Quantitative Research Topics for STEM Students:

Experimental quantitative research involves the collection and analysis of numerical data to conclude. Here are 10 Experimental Quantitative Research Topics For STEM Students interested in experimental quantitative research:

•  Examining the impact of different fertilizers on crop yield in agriculture.
•  Investigating the relationship between exercise and heart rate among different age groups.
•  Analyzing the effect of varying light intensities on photosynthesis in plants.
•  Studying the efficiency of various insulation materials in reducing building heat loss.
•  Investigating the relationship between pH levels and the rate of corrosion in metals.
•  Analyzing the impact of different concentrations of pollutants on aquatic ecosystems.
•  Examining the effectiveness of different antibiotics on bacterial growth.
•  Trying to figure out how temperature affects how thick liquids are.
•  Finding out if there is a link between the amount of pollution in the air and lung illnesses in cities.
•  Analyzing the efficiency of solar panels in converting sunlight into electricity under varying conditions.

Descriptive Research Topics for STEM Students

Descriptive research aims to provide a detailed account or description of a phenomenon. Here are 10 topics for STEM students interested in descriptive research:

•  Describing the physical characteristics and behavior of a newly discovered species of marine life.
•  Documenting the geological features and formations of a particular region.
•  Creating a detailed inventory of plant species in a specific ecosystem.
•  Describing the properties and behavior of a new synthetic polymer.
•  Documenting the daily weather patterns and climate trends in a particular area.
•  Providing a comprehensive analysis of the energy consumption patterns in a city.
•  Describing the structural components and functions of a newly developed medical device.
•  Documenting the characteristics and usage of traditional construction materials in a region.
•  Providing a detailed account of the microbiome in a specific environmental niche.
•  Describing the life cycle and behavior of a rare insect species.

Research Topics for STEM Students in the Pandemic:

The COVID-19 pandemic has raised many research opportunities for STEM students. Here are 10 research topics related to pandemics:

•  Analyzing the effectiveness of various personal protective equipment (PPE) in preventing the spread of respiratory viruses.
•  Studying the impact of lockdown measures on air quality and pollution levels in urban areas.
•  Investigating the psychological effects of quarantine and social isolation on mental health.
•  Analyzing the genomic variation of the SARS-CoV-2 virus and its implications for vaccine development.
•  Studying the efficacy of different disinfection methods on various surfaces.
•  Investigating the role of contact tracing apps in tracking & controlling the spread of infectious diseases.
•  Analyzing the economic impact of the pandemic on different industries and sectors.
•  Studying the effectiveness of remote learning in STEM education during lockdowns.
•  Investigating the social disparities in healthcare access during a pandemic.
• Analyzing the ethical considerations surrounding vaccine distribution and prioritization.

Research Topics for STEM Students Middle School

Research topics for middle school STEM students should be engaging and suitable for their age group. Here are 10 research topics:

• Investigating the growth patterns of different types of mold on various food items.
• Studying the negative effects of music on plant growth and development.
• Analyzing the relationship between the shape of a paper airplane and its flight distance.
• Investigating the properties of different materials in making effective insulators for hot and cold beverages.
• Studying the effect of salt on the buoyancy of different objects in water.
• Analyzing the behavior of magnets when exposed to different temperatures.
• Investigating the factors that affect the rate of ice melting in different environments.
• Studying the impact of color on the absorption of heat by various surfaces.
• Analyzing the growth of crystals in different types of solutions.
• Investigating the effectiveness of different natural repellents against common pests like mosquitoes.

Technology Research Topics for STEM Students

Technology is at the forefront of STEM fields. Here are 10 research topics for STEM students interested in technology:

• Developing and optimizing algorithms for autonomous drone navigation in complex environments.
• Exploring the use of blockchain technology for enhancing the security and transparency of supply chains.
• Investigating the applications of virtual reality (VR) and augmented reality (AR) in medical training and surgery simulations.
• Studying the potential of 3D printing for creating personalized prosthetics and orthopedic implants.
• Analyzing the ethical and privacy implications of facial recognition technology in public spaces.
• Investigating the development of quantum computing algorithms for solving complex optimization problems.
• Explaining the use of machine learning and AI in predicting and mitigating the impact of natural disasters.
• Studying the advancement of brain-computer interfaces for assisting individuals with
• disabilities.
• Analyzing the role of wearable technology in monitoring and improving personal health and wellness.
• Investigating the use of robotics in disaster response and search and rescue operations.

Scientific Research Topics for STEM Students

Scientific research encompasses a wide range of topics. Here are 10 research topics for STEM students focusing on scientific exploration:

• Investigating the behavior of subatomic particles in high-energy particle accelerators.
• Studying the ecological impact of invasive species on native ecosystems.
• Analyzing the genetics of antibiotic resistance in bacteria and its implications for healthcare.
• Exploring the physics of gravitational waves and their detection through advanced interferometry.
• Investigating the neurobiology of memory formation and retention in the human brain.
• Studying the biodiversity and adaptation of extremophiles in harsh environments.
• Analyzing the chemistry of deep-sea hydrothermal vents and their potential for life beyond Earth.
• Exploring the properties of superconductors and their applications in technology.
• Investigating the mechanisms of stem cell differentiation for regenerative medicine.
• Studying the dynamics of climate change and its impact on global ecosystems.

Interesting Research Topics for STEM Students:

Engaging and intriguing research topics can foster a passion for STEM. Here are 10 interesting research topics for STEM students:

• Exploring the science behind the formation of auroras and their cultural significance.
• Investigating the mysteries of dark matter and dark energy in the universe.
• Studying the psychology of decision-making in high-pressure situations, such as sports or
• emergencies.
• Analyzing the impact of social media on interpersonal relationships and mental health.
• Exploring the potential for using genetic modification to create disease-resistant crops.
• Investigating the cognitive processes involved in solving complex puzzles and riddles.
• Studying the history and evolution of cryptography and encryption methods.
• Analyzing the physics of time travel and its theoretical possibilities.
• Exploring the role of Artificial Intelligence  in creating art and music.
• Investigating the science of happiness and well-being, including factors contributing to life satisfaction.

Practical Research Topics for STEM Students

Practical research often leads to real-world solutions. Here are 10 practical research topics for STEM students:

• Developing an affordable and sustainable water purification system for rural communities.
• Designing a low-cost, energy-efficient home heating and cooling system.
• Investigating strategies for reducing food waste in the supply chain and households.
• Studying the effectiveness of eco-friendly pest control methods in agriculture.
• Analyzing the impact of renewable energy integration on the stability of power grids.
• Developing a smartphone app for early detection of common medical conditions.
• Investigating the feasibility of vertical farming for urban food production.
• Designing a system for recycling and upcycling electronic waste.
• Studying the environmental benefits of green roofs and their potential for urban heat island mitigation.
• Analyzing the efficiency of alternative transportation methods in reducing carbon emissions.

Experimental Research Topics for STEM Students About Plants

Plants offer a rich field for experimental research. Here are 10 experimental research topics about plants for STEM students:

• Investigating the effect of different light wavelengths on plant growth and photosynthesis.
• Studying the impact of various fertilizers and nutrient solutions on crop yield.
• Analyzing the response of plants to different types and concentrations of plant hormones.
• Investigating the role of mycorrhizal in enhancing nutrient uptake in plants.
• Studying the effects of drought stress and water scarcity on plant physiology and adaptation mechanisms.
• Analyzing the influence of soil pH on plant nutrient availability and growth.
• Investigating the chemical signaling and defense mechanisms of plants against herbivores.
• Studying the impact of environmental pollutants on plant health and genetic diversity.
• Analyzing the role of plant secondary metabolites in pharmaceutical and agricultural applications.
• Investigating the interactions between plants and beneficial microorganisms in the rhizosphere.

Qualitative Research Topics for STEM Students in the Philippines

Qualitative research in the Philippines can address local issues and cultural contexts. Here are 10 qualitative research topics for STEM students in the Philippines:

• Exploring indigenous knowledge and practices in sustainable agriculture in Filipino communities.
• Studying the perceptions and experiences of Filipino fishermen in coping with climate change impacts.
• Analyzing the cultural significance and traditional uses of medicinal plants in indigenous Filipino communities.
• Investigating the barriers and facilitators of STEM education access in remote Philippine islands.
• Exploring the role of traditional Filipino architecture in natural disaster resilience.
• Studying the impact of indigenous farming methods on soil conservation and fertility.
• Analyzing the cultural and environmental significance of mangroves in coastal Filipino regions.
• Investigating the knowledge and practices of Filipino healers in treating common ailments.
• Exploring the cultural heritage and conservation efforts of the Ifugao rice terraces.
• Studying the perceptions and practices of Filipino communities in preserving marine biodiversity.

Science Research Topics for STEM Students

Science offers a diverse range of research avenues. Here are 10 science research topics for STEM students:

• Investigating the potential of gene editing techniques like CRISPR-Cas9 in curing genetic diseases.
• Studying the ecological impacts of species reintroduction programs on local ecosystems.
• Analyzing the effects of microplastic pollution on aquatic food webs and ecosystems.
• Investigating the link between air pollution and respiratory health in urban populations.
• Studying the role of epigenetics in the inheritance of acquired traits in organisms.
• Analyzing the physiology and adaptations of extremophiles in extreme environments on Earth.
• Investigating the genetics of longevity and factors influencing human lifespan.
• Studying the behavioral ecology and communication strategies of social insects.
• Analyzing the effects of deforestation on global climate patterns and biodiversity loss.
• Investigating the potential of synthetic biology in creating bioengineered organisms for beneficial applications.

Correlational Research Topics for STEM Students

Correlational research focuses on relationships between variables. Here are 10 correlational research topics for STEM students:

• Analyzing the correlation between dietary habits and the incidence of chronic diseases.
• Studying the relationship between exercise frequency and mental health outcomes.
• Investigating the correlation between socioeconomic status and access to quality healthcare.
• Analyzing the link between social media usage and self-esteem in adolescents.
• Studying the correlation between academic performance and sleep duration among students.
• Investigating the relationship between environmental factors and the prevalence of allergies.
• Analyzing the correlation between technology use and attention span in children.
• Studying how environmental factors are related to the frequency of allergies.
• Investigating the link between parental involvement in education and student achievement.
• Analyzing the correlation between temperature fluctuations and wildlife migration patterns.

Quantitative Research Topics for STEM Students in the Philippines

Quantitative research in the Philippines can address specific regional issues. Here are 10 quantitative research topics for STEM students in the Philippines

• Analyzing the impact of typhoons on coastal erosion rates in the Philippines.
• Studying the quantitative effects of land use change on watershed hydrology in Filipino regions.
• Investigating the quantitative relationship between deforestation and habitat loss for endangered species.
• Analyzing the quantitative patterns of marine biodiversity in Philippine coral reef ecosystems.
• Studying the quantitative assessment of water quality in major Philippine rivers and lakes.
• Investigating the quantitative analysis of renewable energy potential in specific Philippine provinces.
• Analyzing the quantitative impacts of agricultural practices on soil health and fertility.
• Studying the quantitative effectiveness of mangrove restoration in coastal protection in the Philippines.
• Investigating the quantitative evaluation of indigenous agricultural practices for sustainability.
• Analyzing the quantitative patterns of air pollution and its health impacts in urban Filipino areas.

Things That Must Keep In Mind While Writing Quantitative Research Title 

Here are few things that must be keep in mind while writing quantitative research tile:

1. Be Clear and Precise

Make sure your research title is clear and says exactly what your study is about. People should easily understand the topic and goals of your research by reading the title.

2. Use Important Words

Include words that are crucial to your research, like the main subjects, who you’re studying, and how you’re doing your research. This helps others find your work and understand what it’s about.

3. Avoid Confusing Words

Stay away from words that might confuse people. Your title should be easy to grasp, even if someone isn’t an expert in your field.

4. Show Your Research Approach

Tell readers what kind of research you did, like experiments or surveys. This gives them a hint about how you conducted your study.

5. Match Your Title with Your Research Questions

Make sure your title matches the questions you’re trying to answer in your research. It should give a sneak peek into what your study is all about and keep you on the right track as you work on it.

STEM students, addressing what STEM is and why research matters in this field. It offered an extensive list of research topics , including experimental, qualitative, and regional options, catering to various academic levels and interests. Whether you’re a middle school student or pursuing advanced studies, these topics offer a wealth of ideas. The key takeaway is to choose a topic that resonates with your passion and aligns with your goals, ensuring a successful journey in STEM research. Choose the best Experimental Quantitative Research Topics For Stem Students today!

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Best 151+ Quantitative Research Topics for STEM Students

In today’s rapidly evolving world, STEM (Science, Technology, Engineering, and Mathematics) fields have gained immense significance. For STEM students, engaging in quantitative research is a pivotal aspect of their academic journey. Quantitative research involves the systematic collection and interpretation of numerical data to address research questions or test hypotheses. Choosing the right research topic is essential to ensure a successful and meaningful research endeavor. 

In this blog, we will explore 151+ quantitative research topics for STEM students. Whether you are an aspiring scientist, engineer, or mathematician, this comprehensive list will inspire your research journey. But we understand that the journey through STEM education and research can be challenging at times. That’s why we’re here to support you every step of the way with our Engineering Assignment Help service. 

What is Quantitative Research in STEM?

Table of Contents

Quantitative research is a scientific approach that relies on numerical data and statistical analysis to draw conclusions and make predictions. In STEM fields, quantitative research encompasses a wide range of methodologies, including experiments, surveys, and data analysis. The key characteristics of quantitative research in STEM include:

• Data Collection: Systematic gathering of numerical data through experiments, observations, or surveys.
• Statistical Analysis: Application of statistical techniques to analyze data and draw meaningful conclusions.
• Hypothesis Testing: Testing hypotheses and theories using quantitative data.
• Replicability: The ability to replicate experiments and obtain consistent results.
• Generalizability: Drawing conclusions that can be applied to larger populations or phenomena.

Importance of Quantitative Research Topics for STEM Students

Quantitative research plays a pivotal role in STEM education and research for several reasons:

1. Empirical Evidence

It provides empirical evidence to support or refute scientific theories and hypotheses.

2. Data-Driven Decision-Making

STEM professionals use quantitative research to make informed decisions, from designing experiments to developing new technologies.

3. Innovation

It fuels innovation by providing data-driven insights that lead to the creation of new products, processes, and technologies.

4. Problem Solving

STEM students learn critical problem-solving skills through quantitative research, which are invaluable in their future careers.

5. Interdisciplinary Applications 

Quantitative research transcends STEM disciplines, facilitating collaboration and the tackling of complex, real-world problems.

Also Read: Google Scholar Research Topics

Quantitative Research Topics for STEM Students

Now, let’s explore important quantitative research topics for STEM students:

Biology and Life Sciences

Here are some quantitative research topics in biology and life science:

1. The impact of climate change on biodiversity.

2. Analyzing the genetic basis of disease susceptibility.

3. Studying the effectiveness of vaccines in preventing infectious diseases.

4. Investigating the ecological consequences of invasive species.

5. Examining the role of genetics in aging.

6. Analyzing the effects of pollution on aquatic ecosystems.

7. Studying the evolution of antibiotic resistance.

8. Investigating the relationship between diet and lifespan.

9. Analyzing the impact of deforestation on wildlife.

10. Studying the genetics of cancer development.

11. Investigating the effectiveness of various plant fertilizers.

12. Analyzing the impact of microplastics on marine life.

13. Studying the genetics of human behavior.

14. Investigating the effects of pollution on plant growth.

15. Analyzing the microbiome’s role in human health.

16. Studying the impact of climate change on crop yields.

17. Investigating the genetics of rare diseases.

Let’s get started with some quantitative research topics for stem students in chemistry:

1. Studying the properties of superconductors at different temperatures.

2. Analyzing the efficiency of various catalysts in chemical reactions.

3. Investigating the synthesis of novel polymers with unique properties.

4. Studying the kinetics of chemical reactions.

5. Analyzing the environmental impact of chemical waste disposal.

6. Investigating the properties of nanomaterials for drug delivery.

7. Studying the behavior of nanoparticles in different solvents.

8. Analyzing the use of renewable energy sources in chemical processes.

9. Investigating the chemistry of atmospheric pollutants.

10. Studying the properties of graphene for electronic applications.

11. Analyzing the use of enzymes in industrial processes.

12. Investigating the chemistry of alternative fuels.

13. Studying the synthesis of pharmaceutical compounds.

14. Analyzing the properties of materials for battery technology.

15. Investigating the chemistry of natural products for drug discovery.

16. Analyzing the effects of chemical additives on food preservation.

17. Investigating the chemistry of carbon capture and utilization technologies.

Here are some quantitative research topics in physics for stem students:

1. Investigating the behavior of subatomic particles in high-energy collisions.

2. Analyzing the properties of dark matter and dark energy.

3. Studying the quantum properties of entangled particles.

4. Investigating the dynamics of black holes and their gravitational effects.

5. Analyzing the behavior of light in different mediums.

6. Studying the properties of superfluids at low temperatures.

7. Investigating the physics of renewable energy sources like solar cells.

8. Analyzing the properties of materials at extreme temperatures and pressures.

9. Studying the behavior of electromagnetic waves in various applications.

10. Investigating the physics of quantum computing.

11. Analyzing the properties of magnetic materials for data storage.

12. Studying the behavior of particles in plasma for fusion energy research.

13. Investigating the physics of nanoscale materials and devices.

14. Analyzing the properties of materials for use in semiconductors.

15. Studying the principles of thermodynamics in energy efficiency.

16. Investigating the physics of gravitational waves.

17. Analyzing the properties of materials for use in quantum technologies.

Engineering

Let’s explore some quantitative research topics for stem students in engineering: 

1. Investigating the efficiency of renewable energy systems in urban environments.

2. Analyzing the impact of 3D printing on manufacturing processes.

3. Studying the structural integrity of materials in aerospace engineering.

4. Investigating the use of artificial intelligence in autonomous vehicles.

5. Analyzing the efficiency of water treatment processes in civil engineering.

6. Studying the impact of robotics in healthcare.

7. Investigating the optimization of supply chain logistics using quantitative methods.

8. Analyzing the energy efficiency of smart buildings.

9. Studying the effects of vibration on structural engineering.

10. Investigating the use of drones in agricultural practices.

11. Analyzing the impact of machine learning in predictive maintenance.

12. Studying the optimization of transportation networks.

13. Investigating the use of nanomaterials in electronic devices.

14. Analyzing the efficiency of renewable energy storage systems.

15. Studying the impact of AI-driven design in architecture.

16. Investigating the optimization of manufacturing processes using Industry 4.0 technologies.

17. Analyzing the use of robotics in underwater exploration.

Environmental Science

Here are some top quantitative research topics in environmental science for students:

1. Investigating the effects of air pollution on respiratory health.

2. Analyzing the impact of deforestation on climate change.

3. Studying the biodiversity of coral reefs and their conservation.

4. Investigating the use of remote sensing in monitoring deforestation.

5. Analyzing the effects of plastic pollution on marine ecosystems.

6. Studying the impact of climate change on glacier retreat.

7. Investigating the use of wetlands for water quality improvement.

8. Analyzing the effects of urbanization on local microclimates.

9. Studying the impact of oil spills on aquatic ecosystems.

10. Investigating the use of renewable energy in mitigating greenhouse gas emissions.

11. Analyzing the effects of soil erosion on agricultural productivity.

12. Studying the impact of invasive species on native ecosystems.

13. Investigating the use of bioremediation for soil cleanup.

14. Analyzing the effects of climate change on migratory bird patterns.

15. Studying the impact of land use changes on water resources.

16. Investigating the use of green infrastructure for urban stormwater management.

17. Analyzing the effects of noise pollution on wildlife behavior.

Computer Science

Let’s get started with some simple quantitative research topics for stem students:

1. Investigating the efficiency of machine learning algorithms for image recognition.

2. Analyzing the security of blockchain technology in financial transactions.

3. Studying the impact of quantum computing on cryptography.

4. Investigating the use of natural language processing in chatbots and virtual assistants.

5. Analyzing the effectiveness of cybersecurity measures in protecting sensitive data.

6. Studying the impact of algorithmic trading in financial markets.

7. Investigating the use of deep learning in autonomous robotics.

8. Analyzing the efficiency of data compression algorithms for large datasets.

9. Studying the impact of virtual reality in medical simulations.

10. Investigating the use of artificial intelligence in personalized medicine.

11. Analyzing the effectiveness of recommendation systems in e-commerce.

12. Studying the impact of cloud computing on data storage and processing.

13. Investigating the use of neural networks in predicting disease outbreaks.

14. Analyzing the efficiency of data mining techniques in customer behavior analysis.

15. Studying the impact of social media algorithms on user behavior.

16. Investigating the use of machine learning in natural language translation.

17. Analyzing the effectiveness of sentiment analysis in social media monitoring.

Mathematics

Let’s explore the quantitative research topics in mathematics for students:

1. Investigating the properties of prime numbers and their distribution.

2. Analyzing the behavior of chaotic systems using differential equations.

3. Studying the optimization of algorithms for solving complex mathematical problems.

4. Investigating the use of graph theory in network analysis.

5. Analyzing the properties of fractals in natural phenomena.

6. Studying the application of probability theory in risk assessment.

7. Investigating the use of numerical methods in solving partial differential equations.

8. Analyzing the properties of mathematical models for population dynamics.

9. Studying the optimization of algorithms for data compression.

10. Investigating the use of topology in data analysis.

11. Analyzing the behavior of mathematical models in financial markets.

12. Studying the application of game theory in strategic decision-making.

13. Investigating the use of mathematical modeling in epidemiology.

14. Analyzing the properties of algebraic structures in coding theory.

15. Studying the optimization of algorithms for image processing.

16. Investigating the use of number theory in cryptography.

17. Analyzing the behavior of mathematical models in climate prediction.

Earth Sciences

Here are some quantitative research topics for stem students in earth science:

1. Investigating the impact of volcanic eruptions on climate patterns.

2. Analyzing the behavior of earthquakes along tectonic plate boundaries.

3. Studying the geomorphology of river systems and erosion.

4. Investigating the use of remote sensing in monitoring wildfires.

5. Analyzing the effects of glacier melt on sea-level rise.

6. Studying the impact of ocean currents on weather patterns.

7. Investigating the use of geothermal energy in renewable power generation.

8. Analyzing the behavior of tsunamis and their destructive potential.

9. Studying the impact of soil erosion on agricultural productivity.

10. Investigating the use of geological data in mineral resource exploration.

11. Analyzing the effects of climate change on coastal erosion.

12. Studying the geomagnetic field and its role in navigation.

13. Investigating the use of radar technology in weather forecasting.

14. Analyzing the behavior of landslides and their triggers.

15. Studying the impact of groundwater depletion on aquifer systems.

16. Investigating the use of GIS (Geographic Information Systems) in land-use planning.

17. Analyzing the effects of urbanization on heat island formation.

Health Sciences and Medicine

Here are some quantitative research topics for stem students in health science and medicine:

1. Investigating the effectiveness of telemedicine in improving healthcare access.

2. Analyzing the impact of personalized medicine in cancer treatment.

3. Studying the epidemiology of infectious diseases and their spread.

4. Investigating the use of wearable devices in monitoring patient health.

5. Analyzing the effects of nutrition and exercise on metabolic health.

6. Studying the impact of genetics in predicting disease susceptibility.

7. Investigating the use of artificial intelligence in medical diagnosis.

8. Analyzing the behavior of pharmaceutical drugs in clinical trials.

9. Studying the effectiveness of mental health interventions in schools.

10. Investigating the use of gene editing technologies in treating genetic disorders.

11. Analyzing the properties of medical imaging techniques for early disease detection.

12. Studying the impact of vaccination campaigns on public health.

13. Investigating the use of regenerative medicine in tissue repair.

14. Analyzing the behavior of pathogens in antimicrobial resistance.

15. Studying the epidemiology of chronic diseases like diabetes and heart disease.

16. Investigating the use of bioinformatics in genomics research.

17. Analyzing the effects of environmental factors on health outcomes.

Quantitative research is the backbone of STEM fields, providing the tools and methodologies needed to explore, understand, and innovate in the world of science and technology . As STEM students, embracing quantitative research not only enhances your analytical skills but also equips you to address complex real-world challenges. With the extensive list of 155+ quantitative research topics for stem students provided in this blog, you have a starting point for your own STEM research journey. Whether you’re interested in biology, chemistry, physics, engineering, or any other STEM discipline, there’s a wealth of quantitative research topics waiting to be explored. So, roll up your sleeves, grab your lab coat or laptop, and embark on your quest for knowledge and discovery in the exciting world of STEM.

I hope you enjoyed this blog post about quantitative research topics for stem students.

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• ISSN: 2196-7822 (electronic)

The Journal of STEM Education: Innovations and Research is a quarterly, peer-reviewed publication for educators in Science, Technology, Engineering, and Mathematics (STEM) education. The journal emphasizes real-world case studies that focus on issues that are relevant and important to STEM practitioners. These studies may showcase field research as well as secondary-sourced cases. The journal encourages case studies that cut across the different STEM areas and that cover non-technical issues such as finance, cost, management, risk, safety, etc. Case studies are typically framed around problems and issues facing a decision maker in an organization.

The Journal of STEM (Science, Technology, Engineering and Mathematics) Education: Innovations and Research publishes peer-reviewed:

• real-world case studies and other innovations in education
• research articles from educational research that inform the readers on teaching and learning endeavors in STEM
• articles that discuss recent developments that have an impact on STEM education in areas such as policy and industry needs

The case studies may include color photographs, charts, and other visual aids in order to bring engineering topics alive. The research articles will focus on innovations that have been implemented in educational institutions. These case studies and articles are expected to be used by faculty members in universities, four-year colleges, two-year colleges, and high schools. In addition, the journal provides information that would help the STEM instructors in their educational mission by publishing:

• a comprehensive list of articles that appeared in other journals
• grant announcements related to STEM education
• advertisements from companies

Mission Statement

To promote high-quality undergraduate education in science, Technology, Engineering and Mathematics through peer reviewed articles that provide:

• Case studies and other innovations in education
• Well founded in STEM content
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• Results from educational research that informs teaching and learning in STEM
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• Respond to employer needs and expectations
• Use educational research and student assessment to inform innovations in education

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Trends and Hot Topics of STEM and STEM Education: a Co-word Analysis of Literature Published in 2011–2020

• Published: 23 February 2023

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• Ying-Shao Hsu   ORCID: orcid.org/0000-0002-1635-8213 1 , 2 ,
• Kai-Yu Tang   ORCID: orcid.org/0000-0002-3965-3055 3 &
• Tzu-Chiang Lin   ORCID: orcid.org/0000-0003-3842-3749 4 , 5  

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This study explored research trends in science, technology, engineering, and mathematics (STEM) education. Descriptive analysis and co-word analysis were used to examine articles published in Social Science Citation Index journals from 2011 to 2020. From a search of the Web of Science database, a total of 761 articles were selected as target samples for analysis. A growing number of STEM-related publications were published after 2016. The most frequently used keywords in these sample papers were also identified. Further analysis identified the leading journals and most represented countries among the target articles. A series of co-word analyses were conducted to reveal word co-occurrence according to the title, keywords, and abstract. Gender moderated engagement in STEM learning and career selection. Higher education was critical in training a STEM workforce to satisfy societal requirements for STEM roles. Our findings indicated that the attention of STEM education researchers has shifted to the professional development of teachers. Discussions and potential research directions in the field are included.

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Hsu, YS., Tang, KY. & Lin, TC. Trends and Hot Topics of STEM and STEM Education: a Co-word Analysis of Literature Published in 2011–2020. Sci & Educ (2023). https://doi.org/10.1007/s11191-023-00419-6

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Top STEM Topic Areas for a Strong Dissertation

Before you finish college, you’ll be required to complete a dissertation to help gauge the skills and knowledge you’ve gained in your area of study. If you’re a STEM student, you need to be smart to complete the dissertation, and this starts with your topic selection. We’ve selected some top science topics to make your dissertation strong and show your mastery of content.

What Dissertation Topic Selection Involves 

Your dissertation topic selection must be wise to make the subject of your dissertation precise. Topic selection isn’t something you do within two minutes or a day. You have to take your time, research well, question your mastery, and settle on a topic you understand well. Importantly, research winning topics that interest your audience and that have many related sources and materials.

Since your dissertation will have a recommendation, it’s important to understand what’s been done and what you’ve done to recommend what’s to be done in the future to improve the topic. A very broad topic isn’t good. You won’t get the time or resources to research and discuss every aspect of the subject matter. When selecting a dissertation topic, make it current and up to date. This also means you’ll get resources and relevant materials from previous works and use them to improve your work.

Top STEM Topic Areas for Dissertations Today

We’ve categorized these topics based on STEM (science, technology, engineering, and mathematics) categories. Note that some stem topics overlap, and it’s alright to write a dissertation on one category even if it is similar to a different STEM category. 

Top Science Topics

Depending on your area of science , you can select a dissertation topic from the following trending areas in science:

• Microbiology and Bioengineering like AAV gene therapy
• Climate change, Endangered Species, and sustainable agriculture 
• Infectious diseases, Epidemiology, and Viruses
• Cancer Biology 
• Behavioral Biology and economics, such as in marketing, media, and political misinformation 
• Data science
• Astrobiology
• Music therapy 

Top Technology Topics

Technology is comprehensive but has a point of convergence. Depending on your area of technology, you can research topics from the following technology trends and developments:

• Artificial Intelligence (AI) and Machine Learning
• Blockchain and cryptocurrency 
• Edge Computing
• Quantum Computing
• Internet of Things (IoT)
• Virtual Reality and Augmented Reality

Top Engineering Topics

Like technology, engineering is wide with many topics but has a point of convergence. Some engineering topics also overlap with technology and science topics. Here are the  top engineering topics and emerging industries that you can research and write on

• Financial engineering, such as blockchain 
• Robotics and automation. This includes AI and machine learning in science.
• Micromanufacturing
• Autonomous/self-driving vehicles
• Nanotechnology and new materials 
• Clean energy/environmental protection engineering
• Bioengineering and engineering of complex diseases 
• Nuclear engineering
• Digital security

Top Mathematics Topics

All math topics are intertwined with numbers and algebra, but they diverge in purpose. Depending on your area of mathematics study and research, here are the top math trends that can make your dissertation strong: 

• Mathematical Finance
• Applied analysis and mathematics
• Scientific Computing and Numerical Analysis
• Algebra, Geometry, and Combinatorics
• Partial Differential Equations
• Mathematical Biology
• Differential Geometry and topology
• Martian gravity

STEM is a world of exciting discoveries, new developments, facts, theories, and research. As a student, writing a dissertation requires analyzing topics and looking for relevance, credible sources, and new developments to gain knowledge and prove mastery. 

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	STEM Science, Technology Engineering, and Mathematics (STEM) is one of the most talked about topics in education, emphasizing research, problem solving, critical thinking, and creativity. The following compendium of open-access articles are inclusive of all substantive AERA journal content regarding STEM published since 1969. This page will be updated as new articles are published.  Jason Jabbari, Yung Chun, Wenrui Huang, Stephen Roll October 2023 Researchers found that program acceptance was significantly associated with increased earnings and probabilities of working in a science, technology, engineering, and math (STEM) profession. Robert R. Martinez, Jr., James M. Ellis September 2023 Researchers found that STEM-CR involves four related yet distinct dimensions of Think, Know, Act, and Go. Results also demonstrated soundness of these STEM-CR dimensions by race and gender (key learning skills and techniques/Act). Rosemary J. Perez, Rudisang Motshubi, Sarah L. Rodriguez April 2023 Researchers found that because participants did not attend to how racism and White supremacy fostered negative climate, their strategies (e.g., increased recruitment, committees, workshops) left systemic racism intact and (un)intentionally amplified labor for racially minoritized graduate students and faculty champions who often led change efforts with little support. Kathleen Lynch, Lily An, Zid Mancenido , July 2022 Researchers found an average weighted impact estimate of +0.10 standard deviations on mathematics achievement outcomes. Luis A. Leyva, R. Taylor McNeill, B R. Balmer, Brittany L. Marshall, V. Elizabeth King, Zander D. Alley , May 2022 Researchers address this research gap by exploring four Black queer students’ experiences of oppression and agency in navigating invisibility as STEM majors. Angela Starrett, Matthew J. Irvin, Christine Lotter, Jan A. Yow , May 2022 Researchers found that the more place-based workforce development adolescents reported, the higher their expectancy beliefs, STEM career interest, and rural community aspirations. Matthew H. Rafalow, Cassidy Puckett May 2022 Researchers found that educational resources, like digital technologies, are also sorted by schools. Pamela Burnard, Laura Colucci-Gray, Carolyn Cooke  April 2022 This article makes a case for repositioning STEAM education as democratized enactments of transdisciplinary education, where arts and sciences are not separate or even separable endeavors. Salome Wörner, Jochen Kuhn, Katharina Scheiter , April 2022 Researchers conclude that for combining real and virtual experiments, apart from the individual affordances and the learning objectives of the different experiment types, especially their specific function for the learning task must be considered. Seung-hyun Han, Eunjung Grace Oh, Sun “Pil” Kang April 2022 Researchers found that the knowledge sharing mechanism and student learning outcomes can be explained in terms of their social capital within social networks. Barbara Schneider, Joseph Krajcik, Jari Lavonen, Katariina Salmela-Aro, Christopher Klager, Lydia Bradford, I-Chien Chen, Quinton Baker, Israel Touitou, Deborah Peek-Brown, Rachel Marias Dezendorf, Sarah Maestrales, Kayla Bartz March 2022  Researchers found that improving secondary school science learning is achievable with a coherent system comprising teacher and student learning experiences, professional learning, and formative unit assessments that support students in “doing” science. Paulo Tan, Alexis Padilla, Rachel Lambert , March 2022 Researchers found that studies continue to avoid meaningful intersectional considerations of race and disability. Ta-yang Hsieh, Sandra D. Simpkins March 2022 Researchers found patterns with overall high/low beliefs, patterns with varying levels of motivational beliefs, and patterns characterized by domain differentiation. Jonté A. Myers, Bradley S. Witzel, Sarah R. Powell, Hongli Li, Terri D. Pigott, Yan Ping Xin, Elizabeth M. Hughes , February 2022 Findings of meta-regression analyses showed several moderators, such as sample composition, group size, intervention dosage, group assignment approach, interventionist, year of publication, and dependent measure type, significantly explained heterogeneity in effects across studies. Grace A. Chen, Ilana S. Horn , January 2022 The findings from this review highlight the interconnectedness of structures and individual lives, of the material and ideological elements of marginalization, of intersectionality and within-group heterogeneity, and of histories and institutions. Victor R. Lee, Michelle Hoda Wilkerson, Kathryn Lanouette December 2021 Researchers offer an interdisciplinary framework based on literature from multiple bodies of educational research to inform design, teaching and research for more effective, responsible, and inclusive student learning experiences with and about data. Ido Davidesco, Camillia Matuk, Dana Bevilacqua, David Poeppel, Suzanne Dikker December 2021 This essay critically evaluates the value added by portable brain technologies in education research and outlines a proposed research agenda, centered around questions related to student engagement, cognitive load, and self-regulation. Guan K. Saw, Charlotte A. Agger December 2021 Researchers found that during high school rural and small-town students shifted away from STEM fields and that geographic disparities in postsecondary STEM participation were largely explained by students’ demographics and precollege STEM career aspirations and academic preparation. Kyle M. Whitcomb, Sonja Cwik, Chandralekha Singh November 2021 Researchers found that on average across all years of study, underrepresented minority (URM) students experience a larger penalty to their mean overall and STEM GPA than even the most disadvantaged non-URM students. Lana M. Minshew, Amanda A. Olsen, Jacqueline E. McLaughlin , October 2021 Researchers found that the CA framework is a useful and effective model for supporting faculty in cultivating rich learning opportunities for STEM graduate students. Xin Lin, Sarah R. Powell , October 2021 Findings suggested fluency in both mathematics and reading, as well as working memory, yielded greater impacts on subsequent mathematics performance. Christine L. Bae, Daphne C. Mills, Fa Zhang, Martinique Sealy, Lauren Cabrera, Marquita Sea , September 2021 This systematic literature review is guided by a complex systems framework to organize and synthesize empirical studies of science talk in urban classrooms across individual (student or teacher), collective (interpersonal), and contextual (sociocultural, historical) planes. Toya Jones Frank, Marvin G. Powell, Jenice L. View, Christina Lee, Jay A. Bradley, Asia Williams  August/September 2021 Researchers found that teachers’ experiences of microaggressions accounted for most of the variance in our modeling of teachers’ thoughts of leaving the profession. Ebony McGee, Yuan Fang, Yibin (Amanda) Ni, Thema Monroe-White August 2021 Researchers found that 40.7% of the respondents reported that their career plans have been affected by Trump’s antiscience policies, 54.5% by the COVID-19 pandemic. Martha Cecilia Bottia, Roslyn Arlin Mickelson, Cayce Jamil, Kyleigh Moniz, Leanne Barry , May 2021 Consistent with cumulative disadvantage and critical race theories, findings reveal that the disproportionality of racially minoritized students in STEM is related to their inferior secondary school preparation; the presence of racialized lower quality educational contexts; reduced levels of psychosocial factors associated with STEM success; less exposure to inclusive and appealing curricula and instruction; lower levels of family social, cultural, and financial capital that foster academic outcomes; and fewer prospects for supplemental STEM learning opportunities. Policy implications of findings are discussed. Iris Daruwala, Shani Bretas, Douglas D. Ready  April 2021 Researchers describe how teachers, school leaders, and program staff navigated institutional pressures to improve state grade-level standardized test scores while implementing tasks and technologies designed to personalize student learning. Michael A. Gottfried, Jay Plasman, Jennifer A. Freeman, Shaun Dougherty March 2021 Researchers found that students with learning disabilities were more likely to earn more units in CTE courses compared with students without disabilities. Ebony Omotola McGee  December 2020 This manuscript also discusses how universities institutionalize diversity mentoring programs designed mostly to fix (read “assimilate”) underrepresented students of color while ignoring or minimizing the role of the STEM departments in creating racially hostile work and educational spaces. Miray Tekkumru-Kisa, Mary Kay Stein, Walter Doyle  November 2020 The purpose of this article is to revisit theory and research on tasks, a construct introduced by Walter Doyle nearly 40 years ago. Elizabeth S. Park, Federick Ngo November 2020 Researchers found that lower math placement may have supported women, and to a lesser extent URM students, in completing transferable STEM credits. Karisma Morton, Catherine Riegle-Crumb  August/September 2020 Results of regression analyses reveal that, net of school, teacher, and student characteristics, the time that teachers report spending on algebra and more advanced content in eighth grade algebra classes is significantly lower in schools that are predominantly Black compared to those that are not predominantly minority. Implications for future research are discussed. Qi Zhang, Jessaca Spybrook, Fatih Unlu , July 2020 Researchers consider strategies to maximize the efficiency of the study design when both student and teacher effects are of primary interest. Jennifer Lin Russell, Richard Correnti, Mary Kay Stein, Ally Thomas, Victoria Bill, Laurie Speranzo , July 20, 2020 Analysis of videotaped coaching conversations and teaching events suggests that model-trained coaches improved their capacity to use a high-leverage coaching practice—deep and specific prelesson planning conversations—and that growth in this practice predicted teaching improvement, specifically increased opportunities for students to engage in conceptual thinking. Maithreyi Gopalan, Kelly Rosinger, Jee Bin Ahn , April 21, 2020 The overarching purpose of this chapter is to explore and document the growth, applicability, promise, and limitations of quasi-experimental research designs in education research. Thomas M. Philip, Ayush Gupta , April 21, 2020 By bringing this collection of articles together, this chapter provides collective epistemic and empirical weight to claims of power and learning as co-constituted and co-constructed through interactional, microgenetic, and structural dynamics. Steve Graham, Sharlene A. Kiuhara, Meade MacKay , March 19, 2020 This meta-analysis examined if students writing about content material in science, social studies, and mathematics facilitated learning. Janina Roloff, Uta Klusmann, Oliver Lüdtke, Ulrich Trautwein , January 2020  Multilevel regression analyses revealed that agreeableness, high school GPA, and the second state examination grade predicted teachers’ instructional quality. : Contemporary Views on STEM Subjects and Language With English Learners Okhee Lee, Amy Stephens , 2020  With the release of the consensus report , the authors highlight foundational constructs and perspectives associated with STEM subjects and language with English learners that frame the report. Angela Calabrese Barton and Edna Tan , 2020  This essay presents a rightful presence framework to guide the study of teaching and learning in justice-oriented ways. Day Greenberg, Angela Calabrese Barton, Carmen Turner, Kelly Hardy, Akeya Roper, Candace Williams, Leslie Rupert Herrenkohl, Elizabeth A. Davis, Tammy Tasker , 2020 Researchers  report on how one community builds capacity for disrupting injustice and supporting each other during the COVID-19 crisis. Tatiana Melguizo, Federick Ngo , 2020 This study explores the extent to which “college-ready” students, by high school standards, are assigned to remedial courses in college. Karisma Morton and Catherine Riegle-Crumb , 2020 Results of regression analyses reveal that, net of school, teacher, and student characteristics, the time that teachers report spending on algebra and more advanced content in eighth grade algebra classes is significantly lower in schools that are predominantly Black compared to those that are not predominantly minority. Implications for future research are discussed. Jonathan D. Schweig, Julia H. Kaufman, and V. Darleen Opfer , 2020 Researchers found that there are both substantial fluctuations in students’ engagement in these practices and reported cognitive demand from day to day, as well as large differences across teachers. David Blazar and Casey Archer , 2020 Researchers found that exposure to “ambitious” mathematics practices is more strongly associated with test score gains of English language learners compared to those of their peers in general education classrooms. Megan Hopkins, Hayley Weddle, Maxie Gluckman, Leslie Gautsch , December 2019  Researchers show how both researchers and practitioners facilitated research use. Adrianna Kezar, Samantha Bernstein-Sierra , October 2019 Findings suggest that Association of American Universities’ influence was a powerful motivator for institutions to alter deeply ingrained perceptions and behaviors. Denis Dumas, Daniel McNeish, Julie Sarama, Douglas Clements , October 2019 While students who receive a short-term intervention in preschool may not differ from a control group in terms of their long-term mathematics outcomes at the end of elementary school, they do exhibit significantly steeper growth curves as they approach their eventual skill level. Jessica Thompson, Jennifer Richards, Soo-Yean Shim, Karin Lohwasser, Kerry Soo Von Esch, Christine Chew, Bethany Sjoberg, Ann Morris , September 2019 Researchers used data from professional learning communities to analyze pathways into improvement work and reflective data to understand practitioners’ perspectives. Ross E. O’Hara, Betsy Sparrow , September 2019 Results indicate that interventions that target psychosocial barriers experienced by community college STEM students can increase retention and should be considered alongside broader reforms. Ran Liu, Andrea Alvarado-Urbina, Emily Hannum , September 2019 Findings reveal disparate national patterns in gender gaps across the performance distribution. Adam Kirk Edgerton , September 2019  Through an analysis of 52 interviews with state, regional, and district officials in California, Texas, Ohio, Pennsylvania, and Massachusetts, the author investigates the decline in the popularity of K–12 standards-based reform. Amy Noelle Parks , September 2019  The study suggests that more research needs to represent mathematics lessons from the perspectives of children and youth, particularly those students who engage with teachers infrequently or in atypical ways. Rajeev Darolia, Cory Koedel, Joyce B. Main, J. Felix Ndashimye, Junpeng Yan , September 30, 2019 Researchers found that differential access to high school courses does not affect postsecondary STEM enrollment or degree attainment. Laura A. Davis, Gregory C. Wolniak, Casey E. George, Glen R. Nelson , August 2019 The findings point to variation in informational quality across dimensions ranging from clarity of language use and terminology, to consistency and coherence of visual displays, which accompany navigational challenges stemming from information fragmentation and discontinuity across pages. Juan E. Saavedra, Emma Näslund-Hadley, Mariana Alfonso , August 12, 2019 Researchers present results from the first randomized experiment of a remedial inquiry-based science education program for low-performing elementary students in a developing country. F. Chris Curran, James Kitchin , July 2019 Researchers found suggestive evidence in some models (student fixed effects and regression with observable controls) that time on science instruction is related to science achievement but little evidence that the number of science topics/skills covered are related to greater science achievement. Kathleen Lynch, Heather C. Hill, Kathryn E. Gonzalez, Cynthia Pollard , June 2019 Programs saw stronger outcomes when they helped teachers learn to use curriculum materials; focused on improving teachers’ content knowledge, pedagogical content knowledge, and/or understanding of how students learn; incorporated summer workshops; and included teacher meetings to troubleshoot and discuss classroom implementation. We discuss implications for policy and practice. Elizabeth Stearns, Martha Cecilia Bottia, Jason Giersch, Roslyn Arlin Mickelson, Stephanie Moller, Nandan Jha, Melissa Dancy , June 2019  Researchers found that relative advantages in college academic performance in STEM versus non-STEM subjects do not contribute to the gender gap in STEM major declaration. Nicole Shechtman, Jeremy Roschelle, Mingyu Feng, Corinne Singleton , May 2019 As educational leaders throughout the United States adopt digital mathematics curricula and adaptive, blended approaches, the findings provide a relevant caution. Colleen M. Ganley, Robert C. Schoen, Mark LaVenia, Amanda M. Tazaz , March 2019 Factor analyses support a distinction between components of general math anxiety and anxiety about teaching math. Felicia Moore Mensah , February 2019  The implications for practice in both teacher education and science education show that educational and emotional support for teachers of color throughout their educational and professional journey is imperative to increasing and sustaining Black teachers. Herbert W. Marsh, Brooke Van Zanden, Philip D. Parker, Jiesi Guo, James Conigrave, Marjorie Seaton , February 2019  Researchers evaluated STEM coursework selection by women and men in senior high school and university, controlling achievement and expectancy-value variables. Yasemin Copur-Gencturk, Debra Plowman, Haiyan Bai , January 2019  The results showed that a focus on curricular content knowledge and examining students’ work were significantly related to teachers’ learning. Rebecca Colina Neri, Maritza Lozano, Louis M. Gomez , 2019 Researchers found that teacher resistance to CRE as a multilevel learning problem stems from (a) limited understanding and belief in the efficacy of CRE and (b) a lack of know-how needed to execute it. Russell T. Warne, Gerhard Sonnert, and Philip M. Sadler , 2019 Researchers  investigated the relationship between participation in AP mathematics courses (AP Calculus and AP Statistics) and student career interest in STEM. Catherine Riegle-Crumb, Barbara King, and Yasmiyn Irizarry , 2019  Results reveal evidence of persistent racial/ethnic inequality in STEM degree attainment not found in other fields. Eben B. Witherspoon, Paulette Vincent-Ruz, and Christian D. Schunn , 2019  Researchers found that high-performing women often graduate with lower paying, lower status degrees. Bruce Fuller, Yoonjeon Kim, Claudia Galindo, Shruti Bathia, Margaret Bridges, Greg J. Duncan, and Isabel García Valdivia , 2019 This article details the growing share of Latino children from low-income families populating schools, 1998 to 2010. Rebekka Darner , 2019 Drawing from motivated reasoning and self-determination theories, this essay builds a theoretical model of how negative emotions, thwarting of basic psychological needs, and the backfire effect interact to undermine critical evaluation of evidence, leading to science denial. Okhee Lee , 2019 As the fast-growing population of English learners (ELs) is expected to meet college- and career-ready content standards, the purpose of this article is to highlight key issues in aligning ELP standards with content standards. Mark C. Long, Dylan Conger, and Raymond McGhee, Jr. , 2019 The authors offer the first model of the components inherent in a well-implemented AP science course and the first evaluation of AP implementation with a focus on public schools newly offering the inquiry-based version of AP Biology and Chemistry courses. Yasemin Copur-Gencturk, Joseph R. Cimpian, Sarah Theule Lubienski, and Ian Thacker , 2019 Results indicate that teachers are not free of bias, and that teachers from marginalized groups may be susceptible to bias that favors stereotype-advantaged groups. Geoffrey B. Saxe and Joshua Sussman , 2019  Multilevel analysis of longitudinal data on a specialized integers and fractions assessment, as well as a California state mathematics assessment, revealed that the ELs in LMR classrooms showed greater gains than comparison ELs and gained at similar rates to their EP peers in LMR classrooms. Jordan Rickles, Jessica B. Heppen, Elaine Allensworth, Nicholas Sorensen, and Kirk Walters , 2019  The authors discuss whether it would have been appropriate to test for nominally equivalent outcomes, given that the study was initially conceived and designed to test for significant differences, and that the conclusion of no difference was not solely based on a null hypothesis test. Soobin Kim, Gregory Wallsworth, Ran Xu, Barbara Schneider, Kenneth Frank, Brian Jacob, Susan Dynarski , 2019 Using detailed Michigan high school transcript data, this article examines the effect of the MMC on various students’ course-taking and achievement outcomes. Dario Sansone , December 2018 Researchers found that students were less likely to believe that men were better than women in math or science when assigned to female teachers or to teachers who valued and listened to ideas from their students. Ebony McGee , December 2018 The authors argues that both racial groups endure emotional distress because each group responds to its marginalization with an unrelenting motivation to succeed that imposes significant costs. Barbara Means, Haiwen Wang, Xin Wei, Emi Iwatani, Vanessa Peters , November 2018 Students overall and from under-represented groups who had attended inclusive STEM high schools were significantly more likely to be in a STEM bachelor’s degree program two years after high school graduation. Paulo Tan, Kathleen King Thorius , November 2018  Results indicate identity and power tensions that worked against equitable practices. Caesar R. Jackson , November 2018 This study investigated the validity and reliability of the Motivated Strategies for Learning Questionnaire (MSLQ) for minority students enrolled in STEM courses at a historically black college/university (HBCU). Tuan D. Nguyen, Christopher Redding , September 2018 The results highlight the importance of recruiting qualified STEM teachers to work in high-poverty schools and providing supports to help them thrive and remain in the classroom. Joseph A. Taylor, Susan M. Kowalski, Joshua R. Polanin, Karen Askinas, Molly A. M. Stuhlsatz, Christopher D. Wilson, Elizabeth Tipton, Sandra Jo Wilson , August 2018 The meta-analysis examines the relationship between science education intervention effect sizes and a host of study characteristics, allowing primary researchers to access better estimates of effect sizes for a priori power analyses. The results of this meta-analysis also support programmatic decisions by setting realistic expectations about the typical magnitude of impacts for science education interventions. Brian A. Burt, Krystal L. Williams, Gordon J. M. Palmer , August 2018 Three factors are identified as helping them persist from year to year, and in many cases through completion of the doctorate: the role of family, spirituality and faith-based community, and undergraduate mentors. Anna-Lena Rottweiler, Jamie L. Taxer, Ulrike E. Nett , June 2018 Suppression improved mood in exam-related anxiety, while distraction improved mood only in non-exam-related anxiety. Gabriel Estrella, Jacky Au, Susanne M. Jaeggi, Penelope Collins , April 2018 Although an analysis of 26 articles confirmed that inquiry instruction produced significantly greater impacts on measures of science achievement for ELLs compared to direct instruction, there was still a differential learning effect suggesting greater efficacy for non-ELLs compared to ELLs. Heather C. Hill, Mark Chin , April 2018 In this article, evidence from 284 teachers suggests that accuracy can be adequately measured and relates to instruction and student outcomes. Darrell M. Hull, Krystal M. Hinerman, Sarah L. Ferguson, Qi Chen, Emma I. Näslund-Hadley , April 20, 2018 Both quantitative and qualitative evidence suggest students within this culture respond well to this relatively simple and inexpensive intervention that departs from traditional, expository math instruction in many developing countries. Erika C. Bullock , April 2018 The author reviews CME studies that employ intersectionality as a way of analyzing the complexities of oppression. Angela Calabrese Barton, Edna Tan , March 2018  Building a conceptual argument for an equity-oriented culture of making, the authors discuss the ways in which making with and in community opened opportunities for youth to project their communities’ rich culture knowledge and wisdom onto their making while also troubling and negotiating the historicized injustices they experience. Sabrina M. Solanki, Di Xu , March 2018  Researchers found that having a female instructor narrows the gender gap in terms of engagement and interest; further, both female and male students tend to respond to instructor gender. Susanne M. Jaeggi, Priti Shah , February 2018 These articles provide excellent examples for how neuroscientific approaches can complement behavioral work, and they demonstrate how understanding the neural level can help researchers develop richer models of learning and development. Danyelle T. Ireland, Kimberley Edelin Freeman, Cynthia E. Winston-Proctor, Kendra D. DeLaine, Stacey McDonald Lowe, Kamilah M. Woodson , 2018 Researchers found that (1) identity; (2) STEM interest, confidence, and persistence; (3) achievement, ability perceptions, and attributions; and (4) socializers and support systems are key themes within the experiences of Black women and girls in STEM education. Ann Y. Kim, Gale M. Sinatra, Viviane Seyranian , 2018 Findings indicate that young women experience challenges to their participation and inclusion when they are in STEM settings. Guan Saw, Chi-Ning Chang, and Hsun-Yu Chan , 2018  Results indicated that female, Black, Hispanic, and low SES students were less likely to show, maintain, and develop an interest in STEM careers during high school years. Di Xu, Sabrina Solanki, Peter McPartlan, and Brian Sato , 2018 This paper estimates the causal effects of a first-year STEM learning communities program on both cognitive and noncognitive outcomes at a large public 4-year institution. Christina S. Chhin, Katherine A. Taylor, and Wendy S. Wei , 2018 Data showed that IES has not funded any direct replications that duplicate all aspects of the original study, but almost half of the funded grant applications can be considered conceptual replications that vary one or more dimensions of a prior study. Okhee Lee , 2018 As federal legislation requires that English language proficiency (ELP) standards are aligned with content standards, this article addresses issues and concerns in aligning ELP standards with content standards in English language arts, mathematics, and science. Jordan Rickles, Jessica B. Heppen, Elaine Allensworth, Nicholas Sorensen, and Kirk Walters , 2018 Researchers found no statistically significant differences in longer term outcomes between students in the online and face-to-face courses. Implications of these null findings are discussed. Colleen M. Ganley, Casey E. George, Joseph R. Cimpian, Martha B. Makowski , December 2017  Researchers found that perceived gender bias against women emerges as the dominant predictor of the gender balance in college majors. James P. Spillane, Megan Hopkins, Tracy M. Sweet , December 2017 This article examines the relationship between teachers’ instructional ties and their beliefs about mathematics instruction in one school district working to transform its approach to elementary mathematics education.  Susan A. Yoon, Sao-Ee Goh, Miyoung Park , December 6, 2017 Results revealed needs in five areas of research: a need to diversify the knowledge domains within which research is conducted, more research on learning about system states, agreement on the essential features of complex systems content, greater focus on contextual factors that support learning including teacher learning, and a need for more comparative research. Candace Walkington, Virginia Clinton, Pooja Shivraj , November 2017  Textual features that make problems more difficult to process appear to differentially negatively impact struggling students, while features that make language easier to process appear to differentially positively impact struggling students. Rebecca L. Matz, Benjamin P. Koester, Stefano Fiorini, Galina Grom, Linda Shepard, Charles G. Stangor, Brad Weiner, Timothy A. McKay , November 2017 Biology, chemistry, physics, accounting, and economics lecture courses regularly exhibit gendered performance differences that are statistically and materially significant, whereas lab courses in the same subjects do not. Adam V. Maltese, Christina S. Cooper , August 2017 The results reveal that although there is no singular pathway into STEM fields, self-driven interest is a large factor in persistence, especially for males, and females rely more heavily on support from others. Brian R. Belland, Andrew E. Walker, Nam Ju Kim , August 2017 Scaffolding has a consistently strong effect across student populations, STEM disciplines, and assessment levels, and a strong effect when used with most problem-centered instructional and educational levels. Di Xu, Shanna Smith Jaggars , July 2017 The findings indicate a robust negative impact of online course taking for both subjects. Maisie L. Gholson, Charles E. Wilkes , June 2017 This chapter reviews two strands of identity-based research in mathematics education related to Black children, exemplified by Martin (2000) and Nasir (2002). Sarah Theule Lubienski, Emily K. Miller, and Evthokia Stephanie Saclarides , November 2017  Using data from a survey of doctoral students at one large institution, this study finds that men submitted and published more scholarly works than women across many fields, with differences largest in natural/biological sciences and engineering.  David Blazar, Cynthia Pollard , October 2017 Drawing on classroom observations and teacher surveys, researchers find that test preparation activities predict lower quality and less ambitious mathematics instruction in upper-elementary classrooms. Nicole M. Joseph, Meseret Hailu, Denise Boston , June 2017 This integrative review used critical race theory (CRT) and Black feminism as interpretive frames to explore factors that contribute to Black women’s and girls’ persistence in the mathematics pipeline and the role these factors play in shaping their academic outcomes. Benjamin L. Wiggins, Sarah L. Eddy, Daniel Z. Grunspan, Alison J. Crowe , May 2017 Researchers describe the results of a quasi-experimental study to test the apex of the ICAP framework (interactive, constructive, active, and passive) in this ecological classroom environment. Sean Gehrke, Adrianna Kezar , May 2017  This study examines how involvement in four cross-institutional STEM faculty communities of practice is associated with local departmental and institutional change for faculty members belonging to these communities. Lawrence Ingvarson, Glenn Rowley , May 2017 This study investigated the relationship between policies related to the recruitment, selection, preparation, and certification of new teachers and (a) the quality of future teachers as measured by their mathematics content and pedagogy content knowledge and (b) student achievement in mathematics at the national level.  Will Tyson, Josipa Roksa , April 2017 This study examines how course grades and course rigor are associated with math attainment among students with similar eighth-grade standardized math test scores.  Anne K. Morris, James Hiebert , March 2017 Researchers investigated whether the content pre-service teachers studied in elementary teacher preparation mathematics courses was related to their performance on a mathematics lesson planning task 2 and 3 years after graduation.  Laura M. Desimone, Kirsten Lee Hill , March 2017 Researchers use data from a randomized controlled trial of a middle school science intervention to explore the causal mechanisms by which the intervention produced previously documented gains in student achievement. Okhee Lee , March 2017 This article focuses on how the Common Core State Standards (CCSS) and the Next Generation Science Standards (NGSS) treat “argument,” especially in Grades K–5, and the extent to which each set of standards is grounded in research literature, as claimed. Cory Koedel, Diyi Li, Morgan S. Polikoff, Tenice Hardaway, Stephani L. Wrabel , February 2017 Researchers estimate relative achievement effects of the four most commonly adopted elementary mathematics textbooks in the fall of 2008 and fall of 2009 in California. Mary Kay Stein, Richard Correnti, Debra Moore, Jennifer Lin Russell, Katelynn Kelly , January 2017 Researchers argue that large-scale, standards-based improvements in the teaching and learning of mathematics necessitate advances in theories regarding how teaching affects student learning and progress in how to measure instruction. Alan H. Schoenfeld , December 2016 The author begins by tracing the growth and change in research in mathematics education and its interdependence with research in education in general over much of the 20th century, with an emphasis on changes in research perspectives and methods and the philosophical/empirical/disciplinary approaches that underpin them.  Marcia C. Linn, Libby Gerard, Camillia Matuk, Kevin W. McElhaney , December 2016 This chapter focuses on how investigators from varied fields of inquiry who initially worked separately began to interact, eventually formed partnerships, and recently integrated their perspectives to strengthen science education. : Are Teachers’ Implicit Cognitions Another Piece of the Puzzle? Almut E. Thomas , December 2016 Drawing on expectancy-value theory, this study investigated whether teachers’ implicit science-is-male stereotypes predict between-teacher variation in males’ and females’ motivational beliefs regarding physical science.  : A By-Product of STEM College Culture? Ebony O. McGee , December 2016  The researcher found that the 38 high-achieving Black and Latino/a STEM study participants, who attended institutions with racially hostile academic spaces, deployed an arsenal of strategies (e.g., stereotype management) to deflect stereotyping and other racial assaults (e.g., racial microaggressions), which are particularly prevalent in STEM fields.  James Cowan, Dan Goldhaber, Kyle Hayes, Roddy Theobald , November 2016 Researchers discuss public policies that contribute to teacher shortages in specific subjects (e.g., STEM and special education) and specific types of schools (e.g., disadvantaged) as well as potential solutions. : A Sociological Analysis of Multimethod Data From Young Women Aged 10–16 to Explore Gendered Patterns of Post-16 Participation Louise Archer, Julie Moote, Becky Francis, Jennifer DeWitt, Lucy Yeomans , November 2016 Researchers draw on survey data from more than 13,000 year 11 (age 15/16) students and interviews with 70 students (who had been tracked from age 10 to 16), focusing in particular on seven girls who aspired to continue with physics post-16, discussing how the cultural arbitrary of physics requires these girls to be highly “exceptional,” undertaking considerable identity work and deployment of capital in order to “possibilize” a physics identity—an endeavor in which some girls are better positioned to be successful than others. Jeremy Roschelle, Mingyu Feng, Robert F. Murphy, Craig A. Mason , October 2016 In a randomized field trial with 2,850 seventh-grade mathematics students, researchers evaluated whether an educational technology intervention increased mathematics learning. : Making Research Participation Instructionally Effective Sherry A. Southerland, Ellen M. Granger, Roxanne Hughes, Patrick Enderle, Fengfeng Ke, Katrina Roseler, Yavuz Saka, Miray Tekkumru-Kisa , October 2016 As current reform efforts in science place a premium on student sense making and participation in the practices of science, researchers use a close examination of 106 science teachers participating in Research Experiences for Teachers (RET) to identify, through structural equation modeling, the essential features in supporting teacher learning from these experiences. Brian R. Belland, Andrew E. Walker, Nam Ju Kim, Mason Lefler , October 2016 This review addresses the need for a comprehensive meta-analysis of research on scaffolding in STEM education by synthesizing the results of 144 experimental studies (333 outcomes) on the effects of computer-based scaffolding designed to assist the full range of STEM learners (primary through adult education) as they navigated ill-structured, problem-centered curricula. Vaughan Prain, Brian Hand , October 2016 Researchers claim that there are strong evidence-based reasons for viewing writing as a central but not sole resource for learning, drawing on both past and current research on writing as an epistemological tool and on their professional background in science education research, acknowledging its distinctive take on the use of writing for learning.  June Ahn, Austin Beck, John Rice, Michelle Foster , September 2016 Researchers present analyses from a researcher-practitioner partnership in the District of Columbia Public Schools, where the researchers are exploring the impact of educational software on students’ academic achievement. Barbara King , September 2016 This study uses nationally representative data from a recent cohort of college students to investigate thoroughly gender differences in STEM persistence.  Ryan C. Svoboda, Christopher S. Rozek, Janet S. Hyde, Judith M. Harackiewicz, Mesmin Destin , August 2016 This longitudinal study draws on identity-based and expectancy-value theories of motivation to explain the socioeconomic status (SES) and mathematics and science course-taking relationship.  Mathematics Course Placements in California Middle Schools, 2003–2013 Thurston Domina, Paul Hanselman, NaYoung Hwang, Andrew McEachin , July 2016  Researchers consider the organizational processes that accompanied the curricular intensification of the proportion of California eighth graders enrolled in algebra or a more advanced course nearly doubling to 65% between 2003 and 2013. Lina Shanley , July 2016 Using a nationally representative longitudinal data set, this study compared various models of mathematics achievement growth on the basis of both practical utility and optimal statistical fit and explored relationships within and between early and later mathematics growth parameters.  Mimi Engel, Amy Claessens, Tyler Watts, George Farkas , June 2016 Analyzing data from two nationally representative kindergarten cohorts, researchers examine the mathematics content teachers cover in kindergarten. F. Chris Curran, Ann T. Kellogg , June 2016 Researchers present findings from the recently released Early Childhood Longitudinal Study, Kindergarten Class of 2010–2011 that demonstrate significant gaps in science achievement in kindergarten and first grade by race/ethnicity. Rachel Garrett, Guanglei Hong , June 2016 Analyzing the Early Childhood Longitudinal Study–Kindergarten cohort data, researchers find that heterogeneous grouping or a combination of heterogeneous and homogeneous grouping under relatively adequate time allocation is optimal for enhancing teacher ratings of language minority kindergartners’ math performance, while using homogeneous grouping only is detrimental.  Jennifer Gnagey, Stéphane Lavertu , May 2016 This study is one of the first to estimate the impact of “inclusive” science, technology, engineering, and mathematics (STEM) high schools using student-level data.  Hanna Gaspard, Anna-Lena Dicke, Barbara Flunger, Isabelle Häfner, Brigitte M. Brisson, Ulrich Trautwein, Benjamin Nagengast , May 2016  Through data from a cluster-randomized study in which a value intervention was successfully implemented in 82 ninth-grade math classrooms, researchers address how interventions on students’ STEM motivation in school affect motivation in subjects not targeted by the intervention. Rebecca M. Callahan, Melissa H. Humphries , April 2016  Researchers employ multivariate methods to investigate immigrant college going by linguistic status using the Educational Longitudinal Study of 2002. Federick Ngo, Tatiana Melguizo , March 2016 Researchers take advantage of heterogeneous placement policy in a large urban community college district in California to compare the effects of math remediation under different policy contexts. : An Analysis of German Fourth- and Sixth-Grade Classrooms Steffen Tröbst, Thilo Kleickmann, Kim Lange-Schubert, Anne Rothkopf, Kornelia Möller , February 2016  Researchers examined if changes in instructional practices accounted for differences in situational interest in science instruction and enduring individual interest in science between elementary and secondary school classrooms. : A Mixed-Methods Study David F. Feldon, Michelle A. Maher, Josipa Roksa, James Peugh , February 2016  Researchers offer evidence of a similar phenomenon to cumulative advantage, accounting for differential patterns of research skill development in graduate students over an academic year and explore differences in socialization that accompany diverging developmental trajectories.   : The Influence of Time, Peers, and Place Luke Dauter, Bruce Fuller , February 2016  Researchers hypothesize that pupil mobility stems from the (a) student’s time in school and grade; (b) student’s race, class, and achievement relative to peers; (c) quality of schooling relative to nearby alternatives; and (4) proximity, abundance, and diversity of local school options.  : How Workload and Curricular Affordances Shape STEM Faculty Decisions About Teaching and Learning Matthew T. Hora , January 2016 In this study the idea of the “problem space” from cognitive science is used to examine how faculty construct mental representations for the task of planning undergraduate courses.  Jessaca Spybrook, Carl D. Westine, Joseph A. Taylor , January 2016 This article provides empirical estimates of design parameters necessary for planning adequately powered cluster randomized trials (CRTs) focused on science achievement.  Paul L. Morgan, George Farkas, Marianne M. Hillemeier, Steve Maczuga , January 2016 Researchers examined the age of onset, over-time dynamics, and mechanisms underlying science achievement gaps in U.S. elementary and middle schools.  : Opportunity Structures and Outcomes in Inclusive STEM-Focused High Schools Lois Weis, Margaret Eisenhart, Kristin Cipollone, Amy E. Stich, Andrea B. Nikischer, Jarrod Hanson, Sarah Ohle Leibrandt, Carrie D. Allen, Rachel Dominguez , December 2015  Researchers present findings from a three-year comparative longitudinal and ethnographic study of how schools in two cities, Buffalo and Denver, have taken up STEM education reform, including the idea of “inclusive STEM-focused schools,” to address weaknesses in urban high schools with majority low-income and minority students.  : How Do They Interact in Promoting Science Understanding? Jasmin Decristan, Eckhard Klieme, Mareike Kunter, Jan Hochweber, Gerhard Büttner, Benjamin Fauth, A. Lena Hondrich, Svenja Rieser, Silke Hertel, Ilonca Hardy , December 2015 Researchers examine the interplay between curriculum-embedded formative assessment—a well-known teaching practice—and general features of classroom process quality (i.e., cognitive activation, supportive climate, classroom management) and their combined effect on elementary school students’ understanding of the scientific concepts of floating and sinking. : An International Perspective William H. Schmidt, Nathan A. Burroughs, Pablo Zoido, Richard T. Houang , October 2015 In this paper, student-level indicators of opportunity to learn (OTL) included in the 2012 Programme for International Student Assessment are used to explore the joint relationship of OTL and socioeconomic status (SES) to student mathematics literacy.  Xueli Wang , September 2015 This study examines the effect of beginning at a community college on baccalaureate success in science, technology, engineering, and mathematics (STEM) fields.  : Trends and Predictors David M. Quinn, North Cooc , August 2015 With research on science achievement disparities by gender and race/ethnicity often neglecting the beginning of the pipeline in the early grades, researchers address this limitation using nationally representative data following students from Grades 3 to 8.  Shaun M. Dougherty, Joshua S. Goodman, Darryl V. Hill, Erica G. Litke, Lindsay C. Page , May 2015 Researchers highlight a collaboration to investigate one district’s effort to increase middle school algebra course-taking. David F. Feldon, Michelle A. Maher, Melissa Hurst, Briana Timmerman , April 2015 This mixed-method study investigates agreement between student mentees’ and their faculty mentors’ perceptions of the students’ developing research knowledge and skills in STEM.  : Reviving Science Education for Civic Ends John L. Rudolph , December 2014  This article revisits John Dewey’s now-well-known address “Science as Subject-Matter and as Method” and examines the development of science education in the United States in the years since that address. Dermot F. Donnelly, Marcia C. Linn Sten Ludvigsen , December 2014 The National Science Foundation–sponsored report Fostering Learning in the Networked World called for “a common, open platform to support communities of developers and learners in ways that enable both to take advantage of advances in the learning sciences”; we review research on science inquiry learning environments (ILEs) to characterize current platforms.  : A Longitudinal Case Study of America’s Chemistry Teachers Gregory T. Rushton, Herman E. Ray, Brett A. Criswell, Samuel J. Polizzi, Clyde J. Bearss, Nicholas Levelsmier, Himanshu Chhita, Mary Kirchhoff , November 2014  Researchers perform a longitudinal case study of U.S. public school chemistry teachers to illustrate a diffusion of responsibility within the STEM community regarding who is responsible for the teacher workforce.  : Relations Between Early Mathematics Knowledge and High School Achievement Tyler W. Watts, Greg J. Duncan, Robert S. Siegler, Pamela E. Davis-Kean , October 2014 Researchers find that preschool mathematics ability predicts mathematics achievement through age 15, even after accounting for early reading, cognitive skills, and family and child characteristics. T. Jared Robinson, Lane Fischer, David Wiley, John Hilton, III , October 2014 The purpose of this quantitative study is to analyze whether the adoption of open science textbooks significantly affects science learning outcomes for secondary students in earth systems, chemistry, and physics. : 1968–2009 Robert N. Ronau, Christopher R. Rakes, Sarah B. Bush, Shannon O. Driskell, Margaret L. Niess, David K. Pugalee , October 2014  We examined 480 dissertations on the use of technology in mathematics education and developed a Quality Framework (QF) that provided structure to consistently define and measure quality. Andrew D. Plunk, William F. Tate, Laura J. Bierut, Richard A. Grucza , June 2014 Using logistic regression with Census and American Community Survey (ACS) data (  = 2,892,444), researchers modeled mathematics and science course graduation requirement (CGR) exposure on (a) high school dropout, (b) beginning college, and (c) obtaining any college degree.  Corey Drake, Tonia J. Land, Andrew M. Tyminski , April 2014 Building on the work of Ball and Cohen and that of Davis and Krajcik, as well as more recent research related to teacher learning from and about curriculum materials, researchers seek to answer the question, How can prospective teachers (PTs) learn to read and use educative curriculum materials in ways that support them in acquiring the knowledge needed for teaching? Lorraine M. McDonnell, M. Stephen Weatherford , December 2013 This article draws on theories of political and policy learning and interviews with major participants to examine the role that the Common Core State Standards (CCSS) supporters have played in developing and implementing the standards, supporters’ reasons for mobilizing, and the counterarguments and strategies of recently emerging opposition groups. : Motivation, High School Learning, and Postsecondary Context of Support Xueli Wang , October 2013  This study draws upon social cognitive career theory and higher education literature to test a conceptual framework for understanding the entrance into science, technology, engineering, and mathematics (STEM) majors by recent high school graduates attending 4-year institutions.  Philip M. Sadler, Gerhard Sonnert, Harold P. Coyle, Nancy Cook-Smith, Jaimie L. Miller , October 2013 This study examines the relationship between teacher knowledge and student learning for 9,556 students of 181 middle school physical science teachers. : Teaching Critical Mathematics in a Remedial Secondary Classroom Andrew Brantlinger , October 2013  The researcher presents results from a practitioner research study of his own teaching of critical mathematics (CM) to low-income students of color in a U.S. context.  Jason G. Hill, Ben Dalton , October 2013 This study investigates the distribution of math teachers with a major or certification in math using data from the National Center for Education Statistics’ High School Longitudinal Study of 2009 (HSLS:09). Kristin F. Butcher, Mary G. Visher , September 2013 This study uses random assignment to investigate the impact of a “light-touch” intervention, where an individual visited math classes a few times during the semester, for a few minutes each time, to inform students about available services. Janet M. Dubinsky, Gillian Roehrig, Sashank Varma , August 2013  Researchers argue that the neurobiology of learning, and in particular the core concept of  , have the potential to directly transform teacher preparation and professional development, and ultimately to affect how students think about their own learning.  : The Impact of Undergraduate Research Programs M. Kevin Eagan, Jr., Sylvia Hurtado, Mitchell J. Chang, Gina A. Garcia, Felisha A. Herrera, Juan C. Garibay , August 2013  Researchers’ findings indicate that participation in an undergraduate research program significantly improved students’ probability of indicating plans to enroll in a STEM graduate program. Okhee Lee, Helen Quinn, Guadalupe Valdés , May 2013 This article addresses language demands and opportunities that are embedded in the science and engineering practices delineated in “A Framework for K–12 Science Education,” released by the National Research Council (2011). Liliana M. Garces , April 2013  This study examines the effects of affirmative action bans in four states (California, Florida, Texas, and Washington) on the enrollment of underrepresented students of color within six different graduate fields of study: the natural sciences, engineering, social sciences, business, education, and humanities. : Learning Lessons From Research on Diversity in STEM Fields Shirley M. Malcom, Lindsey E. Malcom-Piqueux , April 2013 Researchers argue that social scientists ought to look to the vast STEM education research literature to begin the task of empirically investigating the questions raised in the   case.  Roslyn Arlin Mickelson, Martha Cecilia Bottia, Richard Lambert , March 2013 This metaregression analysis reviewed the social science literature published in the past 20 years on the relationship between mathematics outcomes and the racial composition of the K–12 schools students attend.  Jeffrey Grigg, Kimberle A. Kelly, Adam Gamoran, Geoffrey D. Borman , March 2013 Researchers examine classroom observations from a 3-year large-scale randomized trial in the Los Angeles Unified School District (LAUSD) to investigate the extent to which a professional development initiative in inquiry science influenced teaching practices in in 4th and 5th grade classrooms in 73 schools. :  Angela Calabrese Barton, Hosun Kang, Edna Tan, Tara B. O’Neill, Juanita Bautista-Guerra, Caitlin Brecklin , February 2013  This longitudinal ethnographic study traces the identity work that girls from nondominant backgrounds do as they engage in science-related activities across school, club, and home during the middle school years.  : A Review of the State of the Field Shuchi Grover, Roy Pea , January 2013  This article frames the current state of discourse on computational thinking in K–12 education by examining mostly recently published academic literature that uses Jeannette Wing’s article as a springboard, identifies gaps in research, and articulates priorities for future inquiries. Catherine Riegle-Crumb, Barbara King, Eric Grodsky, Chandra Muller , December 2012  This article investigates the empirical basis for often-repeated arguments that gender differences in entrance into science, technology, engineering, and mathematics (STEM) majors are largely explained by disparities in prior achievement.  Richard M. Ingersoll, Henry May , December 2012 This study examines the magnitude, destinations, and determinants of mathematics and science teacher turnover.  : How Families Shape Children’s Engagement and Identification With Science Louise Archer, Jennifer DeWitt, Jonathan Osborne, Justin Dillon, Beatrice Willis, Billy Wong , October 2012  Drawing on the conceptual framework of Bourdieu, this article explores how the interplay of family habitus and capital can make science aspirations more “thinkable” for some (notably middle-class) children than others. Erin Marie Furtak, Tina Seidel, Heidi Iverson, Derek C. Briggs , September 2012 This meta-analysis introduces a framework for inquiry-based teaching that distinguishes between cognitive features of the activity and degree of guidance given to students.  Jaekyung Lee, Todd Reeves , June 2012 This study examines the impact of high-stakes school accountability, capacity, and resources under NCLB on reading and math achievement outcomes through comparative interrupted time-series analyses of 1990–2009 NAEP state assessment data.  : Toward a Theory of Teaching Paola Sztajn, Jere Confrey, P. Holt Wilson, Cynthia Edgington , June 2012 Researchers propose a theoretical connection between research on learning and research on teaching through recent research on students’ learning trajectories (LTs).  : The Perspectives of Exemplary African American Teachers Jianzhong Xu, Linda T. Coats, Mary L. Davidson , February 2012  Researchers argue both the urgency and the promise of establishing a constructive conversation among different bodies of research, including science interest, sociocultural studies in science education, and culturally relevant teaching.  Rebecca M. Schneider, Kellie Plasman , December 2011 This review examines the research on science teachers’ pedagogical content knowledge (PCK) in order to refine ideas about science teacher learning progressions and how to support them.  Brian A. Nosek, Frederick L. Smyth , October 2011  Researchers examined implicit math attitudes and stereotypes among a heterogeneous sample of 5,139 participants.  Libby F. Gerard, Keisha Varma, Stephanie B. Corliss, Marcia C. Linn , September 2011 Researchers’ findings suggest that professional development programs that engaged teachers in a comprehensive, constructivist-oriented learning process and were sustained beyond 1 year significantly improved students’ inquiry learning experiences in K–12 science classrooms.  : Teaching and Learning Impacts of Reading Apprenticeship Professional Development Cynthia L. Greenleaf, Cindy Litman, Thomas L. Hanson, Rachel Rosen, Christy K. Boscardin, Joan Herman, Steven A. Schneider, Sarah Madden, Barbara Jones , June 2011  This study examined the effects of professional development integrating academic literacy and biology instruction on science teachers’ instructional practices and students’ achievement in science and literacy.  Paul Cobb, Kara Jackson , May 2011 The authors comment on Porter, McMaken, Hwang, and Yang’s recent analysis of the Common Core State Standards for Mathematics by critiquing their measures of the focus of the standards and the absence of an assessment of coherence.  P. Wesley Schultz, Paul R. Hernandez, Anna Woodcock, Mica Estrada, Randie C. Chance, Maria Aguilar, Richard T. Serpe , March 2011 This study reports results from a longitudinal study of students supported by a national National Institutes of Health–funded minority training program, and a propensity score matched control.  : Three Large-Scale Studies Jeremy Roschelle, Nicole Shechtman, Deborah Tatar, Stephen Hegedus, Bill Hopkins, Susan Empson, Jennifer Knudsen, Lawrence P. Gallagher , December 2010  The authors present three studies (two randomized controlled experiments and one embedded quasi-experiment) designed to evaluate the impact of replacement units targeting student learning of advanced middle school mathematics.  : Examining Disparities in College Major by Gender and Race/Ethnicity Catherine Riegle-Crumb, Barbara King , December 2010  The authors analyze national data on recent college matriculants to investigate gender and racial/ethnic disparities in STEM fields, with an eye toward the role of academic preparation and attitudes in shaping such disparities.  Mary Kay Stein, Julia H. Kaufman , September 2010  This article begins to unravel the question, “What curricular materials work best under what kinds of conditions?” The authors address this question from the point of view of teachers and their ability to implement mathematics curricula that place varying demands and provide varying levels of support for their learning.  Andy R. Cavagnetto , September 2010 This study of 54 articles from the research literature examines how argument interventions promote scientific literacy.  Victoria M. Hand , March 2010 The researcher examined how the teacher and students in a low-track mathematics classroom jointly constructed opposition through their classroom interactions. Terrence E. Murphy, Monica Gaughan, Robert Hume, S. Gordon Moore, Jr. , March 2010 Researchers evaluate the association of a summer bridge program with the graduation rate of underrepresented minority (URM) students at a selective technical university.  189+ Good Quantitative Research Topics For STEM Students Quantitative research is an essential part of STEM (Science, Technology, Engineering, and Mathematics) fields. It involves collecting and analyzing numerical data to answer research questions and test hypotheses.  In 2023, STEM students have a wealth of exciting research opportunities in various disciplines. Whether you’re an undergraduate or graduate student, here are quantitative research topics to consider for your next project. If you are looking for the best list of quantitative research topics for stem students, then you can check the given list in each field. It offers STEM students numerous opportunities to explore and contribute to their respective fields in 2023 and beyond.  Whether you’re interested in astrophysics, biology, engineering, mathematics, or any other STEM field. Also Read: Most Exciting Qualitative Research Topics For Students What Is Quantitative Research Table of Contents Quantitative research is a type of research that focuses on the organized collection, analysis, and evaluation of numerical data to answer research questions, test theories, and find trends or connections between factors. It is an organized, objective way to do study that uses measurable data and scientific methods to come to results. Quantitative research is often used in many areas, such as the natural sciences, social sciences, economics, psychology, education, and market research. It gives useful information about patterns, trends, cause-and-effect relationships, and how often things happen. Quantitative tools are used by researchers to answer questions like “How many?” and “How often?” “Is there a significant difference?” or “What is the relationship between the variables?” In comparison to quantitative research, qualitative research uses non-numerical data like conversations, notes, and open-ended surveys to understand and explore the ideas, experiences, and points of view of people or groups. Researchers often choose between quantitative and qualitative methods based on their research goals, questions, and the type of thing they are studying. How To Choose Quantitative Research Topics For STEM Here’s a step-by-step guide on how to choose quantitative research topics for STEM: Step 1:- Identify Your Interests and Passions Start by reflecting on your personal interests within STEM. What areas or subjects in STEM excite you the most? Choosing a topic you’re passionate about will keep you motivated throughout the research process. Step 2:- Review Coursework and Textbooks Look through your coursework, textbooks, and class notes. Identify concepts, theories, or areas that you found particularly intriguing or challenging. These can be a source of potential research topics. Step 3:- Consult with Professors and Advisors Discuss your research interests with professors, academic advisors, or mentors. They can provide valuable insights, suggest relevant topics, and guide you toward areas with research opportunities. Step 4:- Read Recent Literature Explore recent research articles, journals, and publications in STEM fields. This will help you identify current trends, gaps in knowledge, and areas where further research is needed. Step 5:- Narrow Down Your Focus Once you have a broad area of interest, narrow it down to a specific research focus. Consider questions like: What specific problem or phenomenon do you want to investigate? Are there unanswered questions or controversies in this area? What impact could your research have on the field or society? Step 6:- Consider Resources and Access Assess the resources available to you, including access to laboratories, equipment, databases, and funding. Ensure that your chosen topic aligns with the resources you have or can access. Step 7:- Think About Practicality Consider the feasibility of conducting research on your chosen topic. Are the data readily available, or will you need to collect data yourself? Can you complete the research within your available time frame? Step 8:- Define Your Research Question Formulate a clear and specific research question or hypothesis. Your research question should guide your entire study and provide a focus for your data collection and analysis. Step 9:- Conduct a Literature Review Dive deeper into the existing literature related to your chosen topic. This will help you understand the current state of research, identify gaps, and refine your research question. Step 10:- Consider the Impact Think about the potential impact of your research. How does your topic contribute to the advancement of knowledge in your field? Does it have practical applications or implications for society? Step 11:- Brainstorm Research Methods Determine the quantitative research methods and data collection techniques you plan to use. Consider whether you’ll conduct experiments, surveys, data analysis, simulations, or use existing datasets. Step 12:- Seek Feedback Share your research topic and ideas with peers, advisors, or mentors. They can provide valuable feedback and help you refine your research focus. Step 13:- Assess Ethical Considerations Consider ethical implications related to your research, especially if it involves human subjects, sensitive data, or potential environmental impacts. Ensure that your research adheres to ethical guidelines. Step 14:- Finalize Your Research Topic Once you’ve gone through these steps, finalize your research topic. Write a clear and concise research proposal that outlines your research question, objectives, methods, and expected outcomes. Step 15:- Stay Open to Adjustments Be open to adjusting your research topic as you progress. Sometimes, new insights or challenges may lead you to refine or adapt your research focus. Following are the most interesting quantitative research topics for stem students. These are given below. Quantitative Research Topics In Physics and Astronomy Quantum Computing Algorithms : Investigate new algorithms for quantum computers and their potential applications. Dark Matter Detection Methods : Explore innovative approaches to detect dark matter particles. Quantum Teleportation : Study the principles and applications of quantum teleportation. Exoplanet Characterization : Analyze data from telescopes to characterize exoplanets. Nuclear Fusion Modeling : Create mathematical models for nuclear fusion reactions. Superconductivity at High Temperatures : Research the properties and applications of high-temperature superconductors. Gravitational Wave Analysis : Analyze gravitational wave data to study astrophysical phenomena. Black Hole Thermodynamics : Investigate the thermodynamics of black holes and their entropy. Quantitative Research Topics In Biology and Life Sciences Genome-Wide Association Studies (GWAS) : Conduct GWAS to identify genetic factors associated with diseases. Pharmacokinetics and Pharmacodynamics : Study drug interactions in the human body. Ecological Modeling : Model ecosystems to understand population dynamics. Protein Folding : Research the kinetics and thermodynamics of protein folding. Cancer Epidemiology : Analyze cancer incidence and risk factors in specific populations. Neuroimaging Analysis : Develop algorithms for analyzing brain imaging data. Evolutionary Genetics : Investigate evolutionary patterns using genetic data. Stem Cell Differentiation : Study the factors influencing stem cell differentiation. Engineering and Technology Quantitative Research Topics Renewable Energy Efficiency : Optimize the efficiency of solar panels or wind turbines. Aerodynamics of Drones : Analyze the aerodynamics of drone designs. Autonomous Vehicle Safety : Evaluate safety measures for autonomous vehicles. Machine Learning in Robotics : Implement machine learning algorithms for robot control. Blockchain Scalability : Research methods to scale blockchain technology. Quantum Computing Hardware : Design and test quantum computing hardware components. IoT Security : Develop security protocols for the Internet of Things (IoT). 3D Printing Materials Analysis : Study the mechanical properties of 3D-printed materials. Quantitative Research Topics In Mathematics and Statistics Following are the best Quantitative Research Topics For STEM Students in mathematics and statistics. Prime Number Distribution : Investigate the distribution of prime numbers. Graph Theory Algorithms : Develop algorithms for solving graph theory problems. Statistical Analysis of Financial Markets : Analyze financial data and market trends. Number Theory Research : Explore unsolved problems in number theory. Bayesian Machine Learning : Apply Bayesian methods to machine learning models. Random Matrix Theory : Study the properties of random matrices in mathematics and physics. Topological Data Analysis : Use topology to analyze complex data sets. Quantum Algorithms for Optimization : Research quantum algorithms for optimization problems. Experimental Quantitative Research Topics In Science and Earth Sciences Climate Change Modeling : Develop climate models to predict future trends. Biodiversity Conservation Analysis : Analyze data to support biodiversity conservation efforts. Geographic Information Systems (GIS) : Apply GIS techniques to solve environmental problems. Oceanography and Remote Sensing : Use satellite data for oceanographic research. Air Quality Monitoring : Develop sensors and models for air quality assessment. Hydrological Modeling : Study the movement and distribution of water resources. Volcanic Activity Prediction : Predict volcanic eruptions using quantitative methods. Seismology Data Analysis : Analyze seismic data to understand earthquake patterns. Chemistry and Materials Science Quantitative Research Topics Nanomaterial Synthesis and Characterization : Research the synthesis and properties of nanomaterials. Chemoinformatics : Analyze chemical data for drug discovery and materials science. Quantum Chemistry Simulations : Perform quantum simulations of chemical reactions. Materials for Renewable Energy : Investigate materials for energy storage and conversion. Catalysis Kinetics : Study the kinetics of chemical reactions catalyzed by materials. Polymer Chemistry : Research the properties and applications of polymers. Analytical Chemistry Techniques : Develop new analytical techniques for chemical analysis. Sustainable Chemistry : Explore green chemistry approaches for sustainable materials. Computer Science and Information Technology Topics Natural Language Processing (NLP) : Work on NLP algorithms for language understanding. Cybersecurity Analytics : Analyze cybersecurity threats and vulnerabilities. Big Data Analytics : Apply quantitative methods to analyze large data sets. Machine Learning Fairness : Investigate bias and fairness issues in machine learning models. Human-Computer Interaction (HCI) : Study user behavior and interaction patterns. Software Performance Optimization : Optimize software applications for performance. Distributed Systems Analysis : Analyze the performance of distributed computing systems. Bioinformatics Data Mining : Develop algorithms for mining biological data. Good Quantitative Research Topics Students In Medicine and Healthcare Clinical Trial Data Analysis : Analyze clinical trial data to evaluate treatment effectiveness. Epidemiological Modeling : Model disease spread and intervention strategies. Healthcare Data Analytics : Analyze healthcare data for patient outcomes and cost reduction. Medical Imaging Algorithms : Develop algorithms for medical image analysis. Genomic Medicine : Apply genomics to personalized medicine approaches. Telemedicine Effectiveness : Study the effectiveness of telemedicine in healthcare delivery. Health Informatics : Analyze electronic health records for insights into patient care. Agriculture and Food Sciences Topics Precision Agriculture : Use quantitative methods for optimizing crop production. Food Safety Analysis : Analyze food safety data and quality control. Aquaculture Sustainability : Research sustainable practices in aquaculture. Crop Disease Modeling : Model the spread of diseases in agricultural crops. Climate-Resilient Agriculture : Develop strategies for agriculture in changing climates. Food Supply Chain Optimization : Optimize food supply chain logistics. Soil Health Assessment : Analyze soil data for sustainable land management. Social Sciences with Quantitative Approaches Educational Data Mining : Analyze educational data for improving learning outcomes. Sociodemographic Surveys : Study social trends and demographics using surveys. Psychometrics : Develop and validate psychological measurement instruments. Political Polling Analysis : Analyze political polling data and election trends. Economic Modeling : Develop economic models for policy analysis. Urban Planning Analytics : Analyze data for urban planning and infrastructure. Climate Policy Evaluation : Evaluate the impact of climate policies on society. Environmental Engineering Quantitative Research Topics Water Quality Assessment : Analyze water quality data for environmental monitoring. Waste Management Optimization : Optimize waste collection and recycling programs. Environmental Impact Assessments : Evaluate the environmental impact of projects. Air Pollution Modeling : Model the dispersion of air pollutants in urban areas. Sustainable Building Design : Apply quantitative methods to sustainable architecture. Quantitative Research Topics Robotics and Automation Robotic Swarm Behavior : Study the behavior of robot swarms in different tasks. Autonomous Drone Navigation : Develop algorithms for autonomous drone navigation. Humanoid Robot Control : Implement control algorithms for humanoid robots. Robotic Grasping and Manipulation : Study robotic manipulation techniques. Reinforcement Learning for Robotics : Apply reinforcement learning to robotic control. Quantitative Research Topics Materials Engineering Additive Manufacturing Process Optimization : Optimize 3D printing processes. Smart Materials for Aerospace : Research smart materials for aerospace applications. Nanostructured Materials for Energy Storage : Investigate energy storage materials. Corrosion Prevention : Develop corrosion-resistant materials and coatings. Nuclear Engineering Quantitative Research Topics Nuclear Reactor Safety Analysis : Study safety aspects of nuclear reactor designs. Nuclear Fuel Cycle Analysis : Analyze the nuclear fuel cycle for efficiency. Radiation Shielding Materials : Research materials for radiation protection. Quantitative Research Topics In Biomedical Engineering Medical Device Design and Testing : Develop and test medical devices. Biomechanics Analysis : Analyze biomechanics in sports or rehabilitation. Biomaterials for Medical Implants : Investigate materials for medical implants. Good Quantitative Research Topics Chemical Engineering Chemical Process Optimization : Optimize chemical manufacturing processes. Industrial Pollution Control : Develop strategies for pollution control in industries. Chemical Reaction Kinetics : Study the kinetics of chemical reactions in industries. Best Quantitative Research Topics In Renewable Energy Energy Storage Systems : Research and optimize energy storage solutions. Solar Cell Efficiency : Improve the efficiency of photovoltaic cells. Wind Turbine Performance Analysis : Analyze and optimize wind turbine designs. Brilliant Quantitative Research Topics In Astronomy and Space Sciences Astrophysical Simulations : Simulate astrophysical phenomena using numerical methods. Spacecraft Trajectory Optimization : Optimize spacecraft trajectories for missions. Exoplanet Detection Algorithms : Develop algorithms for exoplanet detection. Quantitative Research Topics In Psychology and Cognitive Science Cognitive Psychology Experiments : Conduct quantitative experiments in cognitive psychology. Emotion Recognition Algorithms : Develop algorithms for emotion recognition in AI. Neuropsychological Assessments : Create quantitative assessments for brain function. Geology and Geological Engineering Quantitative Research Topics Geological Data Analysis : Analyze geological data for mineral exploration. Geological Hazard Prediction : Predict geological hazards using quantitative models. Top Quantitative Research Topics In Forensic Science Forensic Data Analysis : Analyze forensic evidence using quantitative methods. Crime Pattern Analysis : Study crime patterns and trends in urban areas. Great Quantitative Research Topics In Cybersecurity Network Intrusion Detection : Develop quantitative methods for intrusion detection. Cryptocurrency Analysis : Analyze blockchain data and cryptocurrency trends. Mathematical Biology Quantitative Research Topics Epidemiological Modeling : Model disease spread and control in populations. Population Genetics : Analyze genetic data to understand population dynamics. Quantitative Research Topics In Chemical Analysis Analytical Chemistry Methods : Develop quantitative methods for chemical analysis. Spectroscopy Analysis : Analyze spectroscopic data for chemical identification. Mathematics Education Quantitative Research Topics Mathematics Curriculum Analysis : Analyze curriculum effectiveness in mathematics education. Mathematics Assessment Development : Develop quantitative assessments for mathematics skills. Quantitative Research Topics In Social Research Social Network Analysis : Analyze social network structures and dynamics. Survey Research : Conduct quantitative surveys on social issues and trends. Quantitative Research Topics In Computational Neuroscience Neural Network Modeling : Model neural networks and brain functions computationally. Brain Connectivity Analysis : Analyze functional and structural brain connectivity. Best Topics In Transportation Engineering Traffic Flow Modeling : Model and optimize traffic flow in urban areas. Public Transportation Efficiency : Analyze the efficiency of public transportation systems. Good Quantitative Research Topics In Energy Economics Energy Policy Analysis : Evaluate the economic impact of energy policies. Renewable Energy Cost-Benefit Analysis : Assess the economic viability of renewable energy projects. Quantum Information Science Quantum Cryptography Protocols : Develop and analyze quantum cryptography protocols. Quantum Key Distribution : Study the security of quantum key distribution systems. Human Genetics Genome Editing Ethics : Investigate ethical issues in genome editing technologies. Population Genomics : Analyze genomic data for population genetics research. Marine Biology Coral Reef Health Assessment : Quantitatively assess the health of coral reefs. Marine Ecosystem Modeling : Model marine ecosystems and biodiversity. Data Science and Machine Learning Machine Learning Explainability : Develop methods for explaining machine learning models. Data Privacy in Machine Learning : Study privacy issues in machine learning applications. Deep Learning for Image Analysis : Develop deep learning models for image recognition. Environmental Engineering Robotics and automation, materials engineering, nuclear engineering, biomedical engineering, chemical engineering, renewable energy, astronomy and space sciences, psychology and cognitive science, geology and geological engineering, forensic science, cybersecurity, mathematical biology, chemical analysis, mathematics education, quantitative social research, computational neuroscience, quantitative research topics in transportation engineering, quantitative research topics in energy economics, topics in quantum information science, amazing quantitative research topics in human genetics, quantitative research topics in marine biology, what is a common goal of qualitative and quantitative research. A common goal of both qualitative and quantitative research is to generate knowledge and gain a deeper understanding of a particular phenomenon or topic. However, they approach this goal in different ways: 1. Understanding a Phenomenon Both types of research aim to understand and explain a specific phenomenon, whether it’s a social issue, a natural process, a human behavior, or a complex event. 2. Testing Hypotheses Both qualitative and quantitative research can involve hypothesis testing. While qualitative research may not use statistical hypothesis tests in the same way as quantitative research, it often tests hypotheses or research questions by examining patterns and themes in the data. 3. Contributing to Knowledge Researchers in both approaches seek to contribute to the body of knowledge in their respective fields. They aim to answer important questions, address gaps in existing knowledge, and provide insights that can inform theory, practice, or policy. 4. Informing Decision-Making Research findings from both qualitative and quantitative studies can be used to inform decision-making in various domains, whether it’s in academia, government, industry, healthcare, or social services. 5. Enhancing Understanding Both approaches strive to enhance our understanding of complex phenomena by systematically collecting and analyzing data. They aim to provide evidence-based explanations and insights. 6. Application Research findings from both qualitative and quantitative studies can be applied to practical situations. For example, the results of a quantitative study on the effectiveness of a new drug can inform medical treatment decisions, while qualitative research on customer preferences can guide marketing strategies. 7. Contributing to Theory In academia, both types of research contribute to the development and refinement of theories in various disciplines. Quantitative research may provide empirical evidence to support or challenge existing theories, while qualitative research may generate new theoretical frameworks or perspectives. Conclusion – Quantitative Research Topics For STEM Students So, selecting a quantitative research topic for STEM students is a pivotal decision that can shape the trajectory of your academic and professional journey. The process involves a thoughtful exploration of your interests, a thorough review of the existing literature, consideration of available resources, and the formulation of a clear and specific research question. Your chosen topic should resonate with your passions, align with your academic or career goals, and offer the potential to contribute to the body of knowledge in your STEM field. Whether you’re delving into physics, biology, engineering, mathematics, or any other STEM discipline, the right research topic can spark curiosity, drive innovation, and lead to valuable insights. Moreover, quantitative research in STEM not only expands the boundaries of human knowledge but also has the power to address real-world challenges, improve technology, and enhance our understanding of the natural world. It is a journey that demands dedication, intellectual rigor, and an unwavering commitment to scientific inquiry. What is quantitative research in STEM? Quantitative research in this context is designed to improve our understanding of the science system’s workings, structural dependencies and dynamics. What are good examples of quantitative research? Surveys and questionnaires serve as common examples of quantitative research. They involve collecting data from many respondents and analyzing the results to identify trends, patterns What are the 4 C’s in STEM? They became known as the “Four Cs” — critical thinking, communication, collaboration, and creativity. 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Science, technology, engineering, and mathematics (STEM) education research is dedicated to studying the nature of learning, the impact of different science teaching strategies, and the most effective ways to recruit and retain the next generation of scientists. Center for Astrophysics | Harvard & Smithsonian STEM education researchers are engaged in a number of projects: Developing research-based tests for use in evaluating students’ knowledge of science concepts. These tests are designed to check for common differences in the way non-scientists understand a subject as compared to scientists. When offered at the beginning and end of science courses, they assess whether instruction has resulted in students' conceptual growth. The tests are freely available for education researchers and teachers, and cover the full range of elementary, secondary, and university courses in science. Misconception-Orientation Standard-Based Assessment Resources for Teachers (MOSART) Studying ways to improve students’ preparation for introductory STEM courses in college. Students arrive at college with varying pre-college educational experiences, which often influence how well they do in their first STEM classes. To keep interested students in STEM programs, researchers look at measurable factors that predict improved performance. Factors Influencing College Success in STEM (FICS) Discerning factors that strengthen students’ interest in pursuing a STEM career. Education researchers look at a whole range of pre-college experiences in and out of school that can affect students’ interest in pursuing STEM careers, in order to see both what encourages and what drives them away. Persistence in STEM (PRiSE) Examining predictors of student outcomes in MOOCs. Many universities have implemented MOOCs to provide academic resources beyond the university, but the research on how well they perform compared with ordinary classes is scant. In addition, MOOCs are frequently plagued by students dropping out. By studying actual implementations of MOOCs, SED researchers hope to gather evidence to explain why many students don’t stick with the course through the end. Massive Open Online Courses (MOOCs) Advancing Science Teaching and Learning Public understanding of science is essential for our democratic society. At the same time, white female students and students of color are underrepresented across STEM fields, which is a problem both from equity and workforce demand perspectives. For these reasons, researchers at the Center for Astrophysics | Harvard & Smithsonian study how to improve science teaching and learning. The Science Education Department (SED) at the Center for Astrophysics is dedicated to researching how people learn, and identifying measurable ways to evaluate learning for students in STEM classes. SED researchers have developed assessment tools designed to evaluate students’ conceptual knowledge for all levels from elementary school through university. These tests are freely available for teachers and other education specialists. Experts in the program also study the educational outcomes of massive open online courses (MOOCs) , which are widely used by universities despite the current lack of evidence on their effectiveness. A current challenge of STEM education is the substantial underrepresentation of white female scientists and scientists of color across STEM fields, which limits the potential for innovation and excellence in scientific research. To address this problem, SED researchers study variables that predict persistence of students within the STEM pipeline, factors that impact achievement by students in STEM courses, and the development of science identity. In addition to pursuing fundamental STEM education research, Harvard and Smithsonian educators translate these findings into practice by developing innovative science programs, curricula, interactive media, and technology-based tools for STEM learning. These research-based resources are used by educational audiences in the United States and around the world. The significance of SED’s work has been recognized in the form of grants from the National Science Foundation, NASA, and the National Institutes of Health. Cambridge Explores the Universe 2018, held at the Center for Astrophysics | Harvard & Smithsonian in Cambridge, MA. A student working with a professional astronomer at the Cambridge Explores the Universe 2018, held at the Center for Astrophysics | Harvard & Smithsonian in Cambridge, MA. How can astronomy improve life on earth? Solar & Heliospheric Physics Science Education Department Related News New grant supports teen air quality studies, michael foley elected first grad student on aas education committee, cfa job shadow event makes astronomy more accessible, to navigate the heavens, take a seat, thousands of new astronomical images highlighted in latest release of worldwide telescope, astronomy educators awarded $2.8m to inspire minority youth to pursue stem careers, factors influencing college success in stem (fics), massive open online courses (moocs), misconception-oriented standards-based assessment resources for teachers (mosart), persistence in stem (prise), sensing the dynamic universe, worldwide telescope (wwt), youthastronet, telescopes and instruments, microobservatory telescope network, spitzer space telescope. Hot Topics in International Journal of STEM Education Women in Science Increasing STEM success: a near-peer mentoring program in the physical sciences   Mentoring supports professional success in a myriad of fields; in the physical sciences, mentoring increases the retention of diverse groups of students. While physics education has made progress in classifying... Robotics competitions are increasingly popular and potentially provide an on-ramp to computer science, which is currently highly gender imbalanced. However, within competitive robotics teams, student participa... Read more articles here . Engaging students with science and retaining interest Examining study habits in undergraduate STEM courses from a situative perspective A growing body of research in cognitive psychology and education research is illuminating which study strategies are effective for optimal learning, but little descriptive research focuses on how undergraduate... We report the results of an undergraduate course in astrophotography designed to engage non-STEM majors in the natural sciences to train future amateur astronomers and citizen scientists. Over 200,000 students... Read more articles  h ere How to build up inclusive science-focused schools Inclusive STEM (traditionally known to stand for “Science, Technology, Engineering, and Math”) high schools are emerging across the country as a mechanism for improving STEM education and getting more and dive... The teachers’ role in developing, opening, and nurturing an inclusive STEM-focused school   This study is about teachers’ collective activity during the development and initial year of a science, technology, engineering, and mathematics (STEM)-focused school in the USA. The target school of this study... Global urgency to improve STEM Education The global urgency to improve STEM education may be driven by environmental and social impacts of the twenty-first century which in turn jeopardizes global security and economic stability. The complexity of th... This commentary was stimulated by Yeping Li’s first editorial (2014) citing one of the journal’s goals as adding multidisciplinary perspectives to current studies of single disciplines comprising the focus of ... (Stanford users can avoid this Captcha by logging in.) Stanford Libraries will be undergoing a system upgrade beginning Friday, June 21 at 5pm through Sunday, June 23. During the upgrade, libraries will be open regular hours and eligible materials may be checked out. Item status and availability information may not be up to date. Requests cannot be submitted and My Library Account will not be available during the upgrade. Send to text email RefWorks EndNote printer Qualitative research in STEM : studies of equity, access, and innovation Available online, at the library. Education Library (Cubberley) The Education Library is closed for construction. Request items for pickup at another library. Items in Stacks Call number Note Status Q181 .Q35 2017 Unknown More options Find it at other libraries via WorldCat Contributors Description Creators/contributors, contents/summary. Contents Introduction Sherry Marx *"I am an innovator:" Quahn's Counter-narrative of Becoming in STEM Angela Calabrese Barton, Myunghwan Shin, and LaQuahn Johnson *"I come because I make toy.": Examining Nodes of Criticality in an Afterschool Science & Engineering (SE) Club with Refugee Youth Edna Tan and Beverly Faircloth * Sociocultural Analysis of Engineering Design: Latino High School Students' Funds of Knowledge and Implications for Culturally Responsive Engineering Education Joel Alejandro Mejia * Bruised But Not Broken: African American Women Persistence in Engineering Degree Programs in Spite of Stereotype Threat Sherry Marx * Examining Academic Integrity in the Postmodern: Undergraduates' Use of Solutions to Complete Textbook-based Engineering Coursework Angela Minichiello * Engineering Dropouts: A Qualitative Examination of Why Undergraduates Leave Engineering Matthew Meyer and Sherry Marx * nitacimowinis: A research story in Indigenous Science Education * From Ambivalences toward Self-Efficacy: Bilingual Teacher Candidates' Shifting Sense of Knowing as Conocimiento with STEM Anita Bright and G. Sue Kasun * Examining the Non-Rational in Science Classrooms: Girls, Sustainability, and Science Education Kim Haverkos * Seven Types of Subitizing Activity Characterizing Young Children's Mental Activity Beth L. MacDonald and Jesse L. M. Wilkins * Orienting Students to One Another and to the Mathematics During Discussions Elham Kazemi and Adrian Cunard List of Contributors Index. (source: Nielsen Book Data) Bibliographic information Acquired with support from. The Dr. Frank Y. Chuck and Dr. Bernadine Chuck Fong Family Book Fund Browse related items Stanford Home Maps & Directions Search Stanford Emergency Info Terms of Use Non-Discrimination Accessibility © Stanford University , Stanford , California 94305 . STEM Camp: STEM Research Topics Starting Research Evaluating Information Interactive DNA Fingerprinting Ethics & Genetics Humans & Wildlife Malnutrition Psychology of Plastic Surgery Lying with Numbers << Previous: Interactive Next: DNA Fingerprinting >> Last Updated: Apr 18, 2024 12:04 PM URL: https://irsc.libguides.com/STEMCamp Get the Reddit app For students from the Philippines, by students from the Philippines. For strand, course, and admission questions, please post on r/CollegeAdmissionsPH NEED SUGGESTIONS!! RESEARCH TOPIC/QUESTION RELATED TO STEM/ONLINE CLASSES/STUDENTS <3 Hello po!! If you see this and you have suggestions po for research topic na related to STEM pls leave suggestions po! Thank you so much, I really need help since yung groupmates ko di nagrerespond SAKET so I'm really doing my best (and yes tatanggalin ko sila if wala silang ambag) and I'm in need po of more suggestions since imo yung mga naging ideas ko parang same din sa iba kaya need ko pa po ng help!! Wish me luck din po! This is our first research and honestly hindi pa po ganon ka broad ang understanding ko when it comes to practical research so if you have advices po I am very grateful!! Thank you again!! P.S. I'm not sure if need ko imention pero Qualitative po yung type of research namin!! Thank you so much!! Appointments at Mayo Clinic Stem cells: what they are and what they do. Stem cells offer promise for new medical treatments. Learn about stem cell types, current and possible uses, and the state of research and practice. You've heard about stem cells in the news, and perhaps you've wondered if they might help you or a loved one with a serious disease. Here are some answers to frequently asked questions about stem cells. What are stem cells? Stem cells: The body's master cells Stem cells are the body's master cells. All other cells arise from stem cells, including blood cells, nerve cells and other cells. Stem cells are a special type of cells that have two important properties. They are able to make more cells like themselves. That is, they self-renew. And they can become other cells that do different things in a process known as differentiation. Stem cells are found in almost all tissues of the body. And they are needed for the maintenance of tissue as well as for repair after injury. Depending on where the stem cells are, they can develop into different tissues. For example, hematopoietic stem cells reside in the bone marrow and can produce all the cells that function in the blood. Stem cells also can become brain cells, heart muscle cells, bone cells or other cell types. There are various types of stem cells. Embryonic stem cells are the most versatile since they can develop into all the cells of the developing fetus. The majority of stem cells in the body have fewer abilities to give rise to cells and may only help maintain and repair the tissues and organs in which they reside. No other cell in the body has the natural ability to generate new cell types. Why is there such an interest in stem cells? Researchers are studying stem cells to see if they can help to: Increase understanding of how diseases occur. By watching stem cells mature into cells in bones, heart muscle, nerves, and other organs and tissue, researchers may better understand how diseases and conditions develop. Generate healthy cells to replace cells affected by disease (regenerative medicine). Stem cells can be guided into becoming specific cells that can be used in people to regenerate and repair tissues that have been damaged or affected by disease. People who might benefit from stem cell therapies include those with leukemia, Hodgkin disease, non-Hodgkin lymphoma and some solid tumor cancers. Stem cell therapies also might benefit people who have aplastic anemia, immunodeficiencies and inherited conditions of metabolism. Stem cells are being studied to treat type 1 diabetes, Parkinson's disease, amyotrophic lateral sclerosis, heart failure, osteoarthritis and other conditions. Stem cells may have the potential to be grown to become new tissue for use in transplant and regenerative medicine. Researchers continue to advance the knowledge on stem cells and their applications in transplant and regenerative medicine. Test new drugs for safety and effectiveness. Before giving drugs in development to people, researchers can use some types of stem cells to test the drugs for safety and quality. This type of testing may help assess drugs in development for toxicity to the heart. New areas of study include the effectiveness of using human stem cells that have been programmed into tissue-specific cells to test new drugs. For the testing of new drugs to be accurate, the cells must be programmed to acquire properties of the type of cells targeted by the drug. Techniques to program cells into specific cells are under study. Where do stem cells come from? There are several sources of stem cells: Embryonic stem cells. These stem cells come from embryos that are 3 to 5 days old. At this stage, an embryo is called a blastocyst and has about 150 cells. These are pluripotent (ploo-RIP-uh-tunt) stem cells, meaning they can divide into more stem cells or can become any type of cell in the body. This allows embryonic stem cells to be used to regenerate or repair diseased tissue and organs. Adult stem cells. These stem cells are found in small numbers in most adult tissues, such as bone marrow or fat. Compared with embryonic stem cells, adult stem cells have a more limited ability to give rise to various cells of the body. Adult cells altered to have properties of embryonic stem cells. Scientists have transformed regular adult cells into stem cells using genetic reprogramming. By altering the genes in the adult cells, researchers can make the cells act similarly to embryonic stem cells. These cells are called induced pluripotent stem cells (iPSCs). This new technique may allow use of reprogrammed cells instead of embryonic stem cells and prevent immune system rejection of the new stem cells. However, scientists don't yet know whether using altered adult cells will cause adverse effects in humans. Researchers have been able to take regular connective tissue cells and reprogram them to become functional heart cells. In studies, animals with heart failure that were injected with new heart cells had better heart function and survival time. Perinatal stem cells. Researchers have discovered stem cells in amniotic fluid as well as umbilical cord blood. These stem cells can change into specialized cells. Amniotic fluid fills the sac that surrounds and protects a developing fetus in the uterus. Researchers have identified stem cells in samples of amniotic fluid drawn from pregnant women for testing or treatment — a procedure called amniocentesis. Why is there controversy about using embryonic stem cells? The National Institutes of Health created guidelines for human stem cell research in 2009. The guidelines define embryonic stem cells and how they may be used in research and include recommendations for the donation of embryonic stem cells. Also, the guidelines state that embryonic stem cells from embryos created by in vitro fertilization can be used only when the embryo is no longer needed. Where do these embryos come from? The embryos being used in embryonic stem cell research come from eggs that were fertilized at in vitro fertilization clinics but never implanted in women's uteruses. The stem cells are donated with informed consent from donors. The stem cells can live and grow in special solutions in test tubes or petri dishes in laboratories. Why can't researchers use adult stem cells instead? Progress in cell reprogramming and the formation of iPSCs has greatly enhanced research in this field. However, reprogramming is an inefficient process. When possible, iPSCs are used instead of embryonic stem cells since this avoids the ethical issues about use of embryonic stem cells that may be morally objectionable for some people. Although research into adult stem cells is promising, adult stem cells may not be as versatile and durable as are embryonic stem cells. Adult stem cells may not be able to be manipulated to produce all cell types, which limits how adult stem cells can be used to treat diseases. Adult stem cells are also more likely to contain irregularities due to environmental hazards, such as toxins, or from errors acquired by the cells during replication. However, researchers have found that adult stem cells are more adaptable than was first thought. What are stem cell lines, and why do researchers want to use them? A stem cell line is a group of cells that all descend from a single original stem cell and are grown in a lab. Cells in a stem cell line keep growing but don't become specialized cells. Ideally, they remain free of genetic defects and continue to create more stem cells. Clusters of cells can be taken from a stem cell line and frozen for storage or shared with other researchers. What is stem cell therapy (regenerative medicine), and how does it work? Stem cell therapy, also known as regenerative medicine, promotes the repair response of diseased, dysfunctional or injured tissue using stem cells or their derivatives. It is the next chapter in organ transplantation and uses cells instead of donor organs, which are limited in supply. Researchers grow stem cells in a lab. These stem cells are manipulated to specialize into specific types of cells, such as heart muscle cells, blood cells or nerve cells. The specialized cells can then be implanted into a person. For example, if the person has heart disease, the cells could be injected into the heart muscle. The healthy transplanted heart muscle cells could then contribute to repairing the injured heart muscle. Researchers have already shown that adult bone marrow cells guided to become heart-like cells can repair heart tissue in people, and more research is ongoing. Have stem cells already been used to treat diseases? Yes. Doctors have performed stem cell transplants, also known as bone marrow transplants, for many decades. In hematopoietic stem cell transplants, stem cells replace cells damaged by chemotherapy or disease or serve as a way for the donor's immune system to fight some types of cancer and blood-related diseases. Leukemia, lymphoma, neuroblastoma and multiple myeloma often are treated this way. These transplants use adult stem cells or umbilical cord blood. Researchers are testing adult stem cells to treat other conditions, including some degenerative diseases such as heart failure. What are the potential problems with using embryonic stem cells in humans? For embryonic stem cells to be useful, researchers must be certain that the stem cells will differentiate into the specific cell types desired. Researchers have discovered ways to direct stem cells to become specific types of cells, such as directing embryonic stem cells to become heart cells. Research is ongoing in this area. Embryonic stem cells also can grow irregularly or specialize in different cell types spontaneously. Researchers are studying how to control the growth and development of embryonic stem cells. Embryonic stem cells also might trigger an immune response in which the recipient's body attacks the stem cells as foreign invaders, or the stem cells might simply fail to function as expected, with unknown consequences. Researchers continue to study how to avoid these possible complications. What is therapeutic cloning, and what benefits might it offer? Therapeutic cloning, also called somatic cell nuclear transfer, is a way to create versatile stem cells independent of fertilized eggs. In this technique, the nucleus is removed from an unfertilized egg. This nucleus contains the genetic material. The nucleus also is removed from the cell of a donor. This donor nucleus is then injected into the egg, replacing the nucleus that was removed, in a process called nuclear transfer. The egg is allowed to divide and soon forms a blastocyst. This process creates a line of stem cells that is genetically identical to the donor's cells — in essence, a clone. Some researchers believe that stem cells derived from therapeutic cloning may offer benefits over those from fertilized eggs because cloned cells are less likely to be rejected once transplanted back into the donor. And it may allow researchers to see exactly how a disease develops. Has therapeutic cloning in people been successful? No. Researchers haven't been able to successfully perform therapeutic cloning with humans despite success in a number of other species. Researchers continue to study the potential of therapeutic cloning in people. There is a problem with information submitted for this request. Review/update the information highlighted below and resubmit the form. From Mayo Clinic to your inbox Sign up for free and stay up to date on research advancements, health tips, current health topics, and expertise on managing health. Click here for an email preview. Error Email field is required Error Include a valid email address To provide you with the most relevant and helpful information, and understand which information is beneficial, we may combine your email and website usage information with other information we have about you. If you are a Mayo Clinic patient, this could include protected health information. If we combine this information with your protected health information, we will treat all of that information as protected health information and will only use or disclose that information as set forth in our notice of privacy practices. You may opt-out of email communications at any time by clicking on the unsubscribe link in the e-mail. Thank you for subscribing! You'll soon start receiving the latest Mayo Clinic health information you requested in your inbox. Sorry something went wrong with your subscription Please, try again in a couple of minutes Stem cell basics. National Institutes of Health. https://stemcells.nih.gov/info/basics/stc-basics/#stc-I. Accessed March 21, 2024. Lovell-Badge R, et al. ISSCR guidelines for stem cell research and clinical translation: The 2021 update. Stem Cell Reports. 2021; doi:10.1016/j.stemcr.2021.05.012. AskMayoExpert. Hematopoietic stem cell transplant. Mayo Clinic; 2024. Stem cell transplants in cancer treatment. National Cancer Institute. https://www.cancer.gov/about-cancer/treatment/types/stem-cell-transplant/. Accessed March 21, 2024. Townsend CM Jr, et al. Regenerative medicine. In: Sabiston Textbook of Surgery: The Biological Basis of Modern Surgical Practice. 21st ed. Elsevier; 2022. https://www.clinicalkey.com. Accessed March 21, 2024. Kumar D, et al. Stem cell based preclinical drug development and toxicity prediction. Current Pharmaceutical Design. 2021; doi:10.2174/1381612826666201019104712. NIH guidelines for human stem cell research. National Institutes of Health. https://stemcells.nih.gov/research-policy/guidelines-for-human-stem-cell-research. Accessed March 21, 2024. De la Torre P, et al. Current status and future prospects of perinatal stem cells. Genes. 2020; doi:10.3390/genes12010006. Yen Ling Wang A. Human induced pluripotent stem cell-derived exosomes as a new therapeutic strategy for various diseases. International Journal of Molecular Sciences. 2021; doi:10.3390/ijms22041769. Alessandrini M, et al. Stem cell therapy for neurological disorders. South African Medical Journal. 2019; doi:10.7196/SAMJ.2019.v109i8b.14009. Goldenberg D, et al. Regenerative engineering: Current applications and future perspectives. Frontiers in Surgery. 2021; doi:10.3389/fsurg.2021.731031. Brown MA, et al. Update on stem cell technologies in congenital heart disease. Journal of Cardiac Surgery. 2020; doi:10.1111/jocs.14312. Li M, et al. Brachyury engineers cardiac repair competent stem cells. Stem Cells Translational Medicine. 2021; doi:10.1002/sctm.20-0193. Augustine R, et al. Stem cell-based approaches in cardiac tissue engineering: Controlling the microenvironment for autologous cells. Biomedical Pharmacotherapy. 2021; doi:10.1016/j.biopha.2021.111425. Cloning fact sheet. National Human Genome Research Institute. https://www.genome.gov/about-genomics/fact-sheets/Cloning-Fact-Sheet. 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This week with NSF Director Panchanathan This week, NSF Director Sethuraman Panchanathan highlighted NSF’s commitment to innovation and STEM advancements through several key events. The Director joined Senator Shaheen in a conversation on Capitol Hill with New Hampshire business leaders to discuss the Granite State’s impressive spirit of innovation and the importance of NSF’s investments in keeping the U.S. at the vanguard of discovery and innovation. At the White House AI Aspirations Conference, Director Panchanathan joined government officials, Members of Congress, industry representatives, and AI researchers to discuss AI's role in advancing public missions. He emphasized NSF’s investments in AI and the importance of a collaborative approach for reliable and equitable AI, showcasing the potential of AI in various sectors through NSF’s AI Institutes. The director met with the Association of Public and Land-grant Universities Council of Presidents, underscoring the importance of academia-government partnerships in advancing scientific research and innovation. The director also met with Australia's chief scientist, Cathy Foley, to discuss collaborative opportunities and the advancement of science and technology between the two countries. NSF currently partners with Australia's Commonwealth Scientific and Industrial Research Organisation on several initiatives, including NSF Global Centers and the NSF Convergence Accelerator, and has formed a strategic partnership to advance responsible and equitable AI. The two science leaders identified several other areas of interest for collaboration that will be considered further. Later, at the US-India Partnership Summit hosted by the Foundation for India and Indian Diaspora Studies USA (FIIDS), he discussed the importance of U.S.-India collaboration in trade, technology, and security, highlighting NSF’s role in advancing critical technologies and fostering global partnerships. In the evening, at the Indiaspora Impact Report launch, he celebrated the contributions of the Indian diaspora to the U.S., emphasizing NSF’s mission to foster a collaborative ecosystem and promote community engagement in science and engineering. Through these engagements, Director Panchanathan demonstrated NSF’s dedication to advancing STEM innovation, fostering global collaborations, and ensuring scientific advancements benefit every community. Research areas Information Author Services Initiatives You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader. 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Introduction 2. materials and methods, 2.1. virus and cells, 2.2. design of mhv-a59 utr sl target shrna and sirna, 2.3. cloning to generate vector-based shrna, 2.4. lentivirus construction, 2.5. establishment of shrna-treated dbt cell line, 2.6. sirna transfection, 2.7. rna dot blot analysis, 2.8. single-step growth curve, 2.9. northern blot analysis, 2.10. 5′ and 3′ rapid amplification of cdna ends analysis, 2.11. detection of grna and sgmrna, 2.12. statistical analysis, 3.1. the generation of an rnai-induced rna molecule that targets the sl of mhv-a59 5′utr and 3′utr, 3.2. shrnas targeting 5′utr sl structures suppress mhv-a59 replication. Click here to enlarge figure 3.3. siRNAs Targeting 5′UTR Secondary SL Structures Suppress MHV-A59 Replication 3.4. shrnas targeting 3′utr rna secondary sl structures regulate mhv-a59 replication, 3.5. sirnas targeting 3′utr secondary sl structures suppress mhv-a59 replication, 3.6. the combination of sirnas targeting the 5′utr and 3′utr synergistically inhibits mhv-a59 replication, 4. discussion, 5. conclusions, supplementary materials, author contributions, institutional review board statement, informed consent statement, data availability statement, acknowledgments, conflicts of interest. Malik, Y.A. Properties of coronavirus and SARS-CoV-2. Malays. J. Pathol. 2020 , 42 , 3–11. [ Google Scholar ] Tan, C.W.; Chia, W.N.; Qin, X.; Liu, P.; Chen, M.I.-C.; Tiu, C.; Hu, Z.; Chen, V.C.-W.; Young, B.E.; Sia, W.R. A SARS-CoV-2 surrogate virus neutralization test based on antibody-mediated blockage of ACE2–spike protein–protein interaction. Nat. Biotechnol. 2020 , 38 , 1073–1078. 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A novel in vivo siRNA delivery system specifically targeting liver cells for protection of ConA-induced fulminant hepatitis. PLoS ONE 2012 , 7 , e44138. [ Google Scholar ] [ CrossRef ] The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. Share and Cite Kang, G.; Lee, S.H.; Cho, M.; Kim, J.-h.; Cho, H.; Kang, H. Evaluation of RNA Secondary Stem-Loop Structures in the UTRs of Mouse Hepatitis Virus as New Therapeutic Targets. Pathogens 2024 , 13 , 518. https://doi.org/10.3390/pathogens13060518 Kang G, Lee SH, Cho M, Kim J-h, Cho H, Kang H. Evaluation of RNA Secondary Stem-Loop Structures in the UTRs of Mouse Hepatitis Virus as New Therapeutic Targets. Pathogens . 2024; 13(6):518. https://doi.org/10.3390/pathogens13060518 Kang, Gyuhyun, Sun Hee Lee, Miyeon Cho, Ji-hyeon Kim, Hyosun Cho, and Hyojeung Kang. 2024. "Evaluation of RNA Secondary Stem-Loop Structures in the UTRs of Mouse Hepatitis Virus as New Therapeutic Targets" Pathogens 13, no. 6: 518. https://doi.org/10.3390/pathogens13060518 Article Metrics Article access statistics, supplementary material. ZIP-Document (ZIP, 1220 KiB) Further Information Mdpi initiatives, follow mdpi. Subscribe to receive issue release notifications and newsletters from MDPI journals 347 IMAGES Research Titles for STEM Strand Student research topic under stem strand 55 Brilliant Research Topics For STEM Students Choosing STEM strand STEM STRAND by Richen Regis on Prezi INTRODUCTION TO STEM STRAND COMMENTS 55 Brilliant Research Topics For STEM Students There are several science research topics for STEM students. Below are some possible quantitative research topics for STEM students. A study of protease inhibitor and how it operates. A study of how men's exercise impacts DNA traits passed to children. A study of the future of commercial space flight. 200+ Experimental Quantitative Research Topics For Stem Students Here are 10 practical research topics for STEM students: Developing an affordable and sustainable water purification system for rural communities. Designing a low-cost, energy-efficient home heating and cooling system. Investigating strategies for reducing food waste in the supply chain and households. Research and trends in STEM education: a systematic review of journal With the rapid increase in the number of scholarly publications on STEM education in recent years, reviews of the status and trends in STEM education research internationally support the development of the field. For this review, we conducted a systematic analysis of 798 articles in STEM education published between 2000 and the end of 2018 in 36 journals to get an overview about developments ... Best 151+ Quantitative Research Topics for STEM Students Chemistry. Let's get started with some quantitative research topics for stem students in chemistry: 1. Studying the properties of superconductors at different temperatures. 2. Analyzing the efficiency of various catalysts in chemical reactions. 3. Investigating the synthesis of novel polymers with unique properties. 4. Factors Influencing Student STEM Learning: Self-Efficacy and ... Social, motivational, and instructional factors impact students' outcomes in STEM learning and their career paths. Based on prior research and expectancy-value theory, the study further explored how multiple factors affect students in the context of integrated STEM learning. High school STEM teachers participated in summer professional development and taught integrated STEM to students ... Home Overview. The Journal for STEM Education Research is an interdisciplinary research journal that aims to promote STEM education as a distinct field. Offers a platform for interdisciplinary research on a broad spectrum of topics in STEM education. Publishes integrative reviews and syntheses of literature relevant to STEM education and research. Research and trends in STEM education: a systematic analysis of Taking publicly funded projects in STEM education as a special lens, we aimed to learn about research and trends in STEM education. We identified a total of 127 projects funded by the Institute of Education Sciences (IES) of the US Department of Education from 2003 to 2019. Both the number of funded projects in STEM education and their funding amounts were high, although there were ... Articles Laila El‑Hamamsy, Barbara Bruno, Catherine Audrin, Morgane Chevalier, Sunny Avry, Jessica Dehler Zufferey and Francesco Mondada. International Journal of STEM Education 2023 10 :63. Correction Published on: 2 November 2023. The original article was published in International Journal of STEM Education 2023 10 :60. Journal of STEM Education: Innovations and Research Journal of Science, Technology, Engineering and Math Education. The Journal of STEM Education: Innovations and Research is a quarterly, peer-reviewed publication for educators in Science, Technology, Engineering, and Mathematics (STEM) education. The journal emphasizes real-world case studies that focus on issues that are relevant and important to STEM practitioners. Frontiers in Education Patrick M Sonner. Audrey Chen Lew. Kimberley A Phillips. Jennifer Schaefer. 2,540 views. 1 article. Part of a multidisciplinary journal that explores research-based approaches to education, this section aims to contribute to the advancement of knowledge, research and practice in STEM Education. Trends and Hot Topics of STEM and STEM Education: a Co-word ... This study explored research trends in science, technology, engineering, and mathematics (STEM) education. Descriptive analysis and co-word analysis were used to examine articles published in Social Science Citation Index journals from 2011 to 2020. From a search of the Web of Science database, a total of 761 articles were selected as target samples for analysis. A growing number of STEM ... 11 STEM Research Topics for High School Students Topic 1: Artificial Intelligence (AI) AI stands at the forefront of technological innovation. Students can engage in research on AI applications in various sectors and the ethical implications of AI. This field is suitable for students with interests in computer science, AI, data analytics, and related areas. Topic 2: Applied Math and AI. Top STEM Topic Areas for a Strong Dissertation Topic selection isn't something you do within two minutes or a day. You have to take your time, research well, question your mastery, and settle on a topic you understand well. Importantly, research winning topics that interest your audience and that have many related sources and materials. Trending Topic Research: STEM The American Educational Research Association (AERA), founded in 1916, is concerned with improving the educational process by encouraging scholarly inquiry related to education and evaluation and by promoting the dissemination and practical application of research results. AERA is the most prominent international professional organization, with the primary goal of advancing educational ... STEM Education News -- ScienceDaily Read the latest research relevant to STEM: education in science, technology, engineering and mathematics. Pursuing STEM Careers: Perspectives of Senior High School Students Abstract and Figures. This qualitative descriptive research explored the perspectives of STEM (science, technology, engineering, and mathematics) senior high school students in a public secondary ... 189+ Good Quantitative Research Topics For STEM Students Following are the best Quantitative Research Topics For STEM Students in mathematics and statistics. Prime Number Distribution: Investigate the distribution of prime numbers. Graph Theory Algorithms: Develop algorithms for solving graph theory problems. Statistical Analysis of Financial Markets: Analyze financial data and market trends. Research by Topics Educational experiences in formal settings are shaped by curricular decisions. The Center's research in curriculum studies explores the questions of why STEM should be addressed as part of schooling, what ideas should be addressed, and how might they best be organized to engage young people in the core ideas and practices of the disciplines ... STEM Education Research Science isn't merely for scientists. Understanding science is part of being a well-rounded and informed citizen. Science, technology, engineering, and mathematics (STEM) education research is dedicated to studying the nature of learning, the impact of different science teaching strategies, and the most effective ways to recruit and retain the next generation of scientists. Hot Topics in International Journal of STEM Education The International Journal of STEM Education is a multidisciplinary journal in subject-content education that focuses on the study of teaching and learning in science, technology, engineering, and mathematics (STEM). It is being established as a brand new, forward looking journal in the field of education. As a peer-reviewed journal, it is positioned to promote research and educational ... Qualitative research in STEM : studies of equity, access, and Publisher's summary. Qualitative Research in STEM examines the groundbreaking potential of qualitative research methods to address issues of social justice, equity, and sustainability in STEM. A collection of empirical studies conducted by prominent STEM researchers, this book examines the experiences and challenges faced by traditionally ... STEM Camp: STEM Research Topics Resources for participants at IRSC's 2013 STEM camp. Ideas for a research paper using a science, technology, engineering, or math topic. NEED SUGGESTIONS!! RESEARCH TOPIC/QUESTION RELATED TO STEM ... marshjams. NEED SUGGESTIONS!! RESEARCH TOPIC/QUESTION RELATED TO STEM/ONLINE CLASSES/STUDENTS <3. Academic Help. Hello po!! If you see this and you have suggestions po for research topic na related to STEM pls leave suggestions po! Thank you so much, I really need help since yung groupmates ko di nagrerespond SAKET so I'm really doing my best ... Ultrasounds and EKGs: High schoolers get hands-on learning about STEM A recent report found 75% of Gen Z youth (which range in age from about 12 to 27) are interested in STEM occupations. However, only 29% list a STEM role as their first-choice career. Students exposed to four or five technology-related topics in school are more than twice as likely to want a future STEM job, according to the report. Behavioral Sciences This is because female students are generally found to have higher educational motivation and academic performance than their male counterparts [18,35,56], although their different STEM intentions and enrolments in STEM majors reported by recent research indicate that female students are more fond of health-related and life science subjects ... Stem cells: What they are and what they do The guidelines define embryonic stem cells and how they may be used in research and include recommendations for the donation of embryonic stem cells. Also, the guidelines state that embryonic stem cells from embryos created by in vitro fertilization can be used only when the embryo is no longer needed. This week with NSF Director Panchanathan Image left: At the end of a busy week, the Director celebrated the contributions of the Indian diaspora to the U.S. Image right: NSF Director Panchanathan and Australia's chief scientist, Cathy Foley, pose in front of their countries' flags after a collaborative discussion about opportunities and advancement in science and technology. An anti-inflammatory curbs fungi spread causing serious blood infections This work was supported by Microbiome Tri-institutional Partnership in Microbiome Research (TrIP) Seed funding (000582); the Crohn's and Colitis Foundation of America (650976); Public Health Service Grants (AI044170, AI096528, AI112949, AI146432 and AI153069); and National Institutes of Health (F32 AI161850, UL1 TR000002, TL1 TR000133, UL1 ... The world's oldest wine discovered A white wine over 2,000 years old, of Andalusian origin, is the oldest wine ever discovered. Hispana, Senicio and the other four inhabitants (two men and two women, their names unknown) of a Roman ... Pathogens MHV-A59 is a beta-coronavirus that causes demyelinating encephalitis and hepatitis in mice. Recently, the mouse infection model of MHV-A59 has been used as an alternative animal infection model for SARS-CoV and SARS-CoV-2, aiding the development of new antiviral drugs. In this study, the MHV-A59 model was employed to investigate the potential of SARS-CoV-2 UTRs as new targets for antiviral ... assignment essay homework paper phd report resume review speech