Projects

This project addresses a crucial need in K-12 science teacher education to respond to local school district needs for high-quality science teaching and the role of teacher education programs to develop programs that provide prospective teachers the best opportunity for success as science teachers. Specifically, the project aims to advance science teacher education by applying a pragmatic, iterative approach to developing teacher education program resources and tools that will support the implementation of evidence-based STEM teaching and learning practices in K-12 science classrooms. The project will identify evidence-based STEM teaching and learning practices through a systematic review of K-12 STEM education research and resources. Rather than generate new evidence, the project leverages the evidence that already exists to support educators in adapting and sustaining existing high-quality practices that have already demonstrated positive impacts on students' STEM learning.

This project synthesizes research on teacher learning to distill ideas and develop a new, deeper understanding of how preK-12 teacher professional learning in mathematics and science influences teacher beliefs, knowledge, and practice. This study will provide information that enables states, districts, and schools to elevate the quality of teacher professional learning in STEM to lead to more effective instruction that fosters more and better STEM student engagement and learning and motivates more students to choose STEM careers.

Tomorrow's domestic STEM workforce demands that students bring the ability to explain real-world phenomena and solve problems collaboratively. In many school districts, a significant gap persists between this ambitious vision and the realities of current instruction. One promising approach to bridge this gap is the use of high-quality instructional materials (HQIM), which have been shown to improve science teaching and learning. However, school systems often face serious challenges in selecting, adopting, and implementing these materials in ways that lead to consistent implementation across classrooms and lasting change. This project will establish a research-practice partnership between the University of Colorado Boulder and the Weld RE-4 School District in Colorado to better understand and address these challenges. The project will generate new understandings that support the translation of research on how curriculum can improve teaching and learning into practice for a whole school district, and yield insights into how school districts navigate organizational dynamics and competing priorities during curriculum adoption.

This project will develop a sustainable Research-Practice Partnership (RPP) model between the Worcester Public Schools (WPS) and the Learning Sciences Lab at Worcester Polytechnic Institute (WPI). Together, WPI and WPS will build the collaborative infrastructure for conducting impactful STEM education research within WPS. Specifically, the RPP will establish and document shared infrastructural systematic processes and materials, brainstorm and facilitate research ideas that address pressing issues in mathematics education, and build a community of trust among researchers, administrators, teachers, and families to make future research and implementation, innovation, and collaboration more impactful, accessible, and efficient.

Socio-environmental issues are both a key to secondary student interest in science and a difficult terrain for teachers to navigate. Problems like climate change have not only scientific but also social, political, and ethical aspects. In order to prepare students for fully understanding such issues, attention needs to be given to how teachers can be supported and learn for effective instruction. This four-year project enacts and researches a teacher professional development program, “Teaching for the Anthropocene,” with middle and high school science teachers that brings a concept of "critical systems thinking." The project investigates how critical systems thinking may enhance teachers’ understanding of socio-environmental issues and support them to integrate those understandings into their curriculum and teaching. The project also identifies potential challenges educators may face as well as what local conditions and program supports help them practically apply critical systems thinking in their classrooms.

Socio-environmental issues are both a key to secondary student interest in science and a difficult terrain for teachers to navigate. Problems like climate change have not only scientific but also social, political, and ethical aspects. In order to prepare students for fully understanding such issues, attention needs to be given to how teachers can be supported and learn for effective instruction. This four-year project enacts and researches a teacher professional development program, “Teaching for the Anthropocene,” with middle and high school science teachers that brings a concept of "critical systems thinking." The project investigates how critical systems thinking may enhance teachers’ understanding of socio-environmental issues and support them to integrate those understandings into their curriculum and teaching. The project also identifies potential challenges educators may face as well as what local conditions and program supports help them practically apply critical systems thinking in their classrooms.

STEM learning is a function of both student level and classroom level characteristics. Though research efforts often focus on the impacts of classrooms level features, much of the variation in student outcomes is at the student level. Hence it is critical to consider individual students and how their developmental systems (e.g., emotion, cognition, relational, attention, language) interact to influence learning in classroom settings. This is particularly important in developing effective models for personalized learning. To date, efforts to individualize curricula, differentiate instruction, or leverage formative assessment lack an evidence base to support innovation and impact. Tools are needed to describe individual-level learning processes and contexts that support them. The proposed network will incubate and pilot a laboratory classroom to produce real-time metrics on behavioral, neurological, physiological, cognitive, and physical data at individual student and teacher levels, reflecting the diverse dynamics of classroom experiences that co-regulate learning for all students.

To successfully understand and address complex and important questions in the field of environmental science, many kinds of communities’ knowledge about their local environment need to be engaged. This one-year partnership development project involves a collaboration to design an approach that would yield opportunities for K-12 students to learn about environmental science in ways that honor both traditional STEM knowledge and Native ways of knowing among the Pomo community in California.

An exit ticket is a recommended and widely used way to end a lesson. The most common purpose of exit tickets is to provide formative feedback to teachers about whether students have met the objectives of a given lesson. However, the psychology of learning literature suggests that there is an untapped potential for exit tickets to also benefit students’ learning directly. This project explores two potential enhancements to exit tickets, with the goal of improving high-school students’ mathematics knowledge and ability to regulate their own learning processes.

Mathematical Opportunities in Student Thinking (MOSTs) are high-leverage instances of student mathematical thinking that emerge in whole-class discussions. The challenge for teachers is to build on these opportunities to help the whole class understand the mathematics underlying these student contributions. To help teachers learn how to build on MOSTs, there is a need for professional development resources and tools that facilitators can use. There is also a need for research about how teachers use what they learn in professional development in their teaching. This project is developing a teacher learning sequence that will support teachers in learning to productively use student thinking that surfaces in-the-moment during their instruction—that is, in learning to build on MOSTs.

With recent advances in artificial intelligence (AI), the United States needs to develop a diverse workforce with strong computational skills and the knowledge and capability to work with AI. Recent studies have raised questions about the extent to which youth are aware of AI and its application in industries of the future that may limit their interest in pursuing learning that lead toward careers in these industries. To address this challenge, learning trajectories (LTs) will be developed and researched for AI concepts that are challenging for middle and high school students. The project will design and pilot test learning activities and assessments targeting these concepts based on the LTs, offer teacher professional development on the LTs and related activities, and research the effectiveness of the LT-based activities when implemented by teachers during the regular school day.

As the nation tackles the challenges of energy transition, K-12 education must prepare a future STEM workforce that can not only apply STEM skills but also address reasoning through complex sociotechnical problems involving social justice. Aligned with the principles of socially transformative engineering and focused on students of color, this project involves the design and implementation of a novel STEM education curriculum that will support the development of secondary students’ abilities to reason through ambiguous and ethical challenges through design projects and to transfer these competencies to everyday life and future workplaces.

Mathematical Opportunities in Student Thinking (MOSTs) are high-leverage instances of student mathematical thinking that emerge in whole-class discussions. The challenge for teachers is to build on these opportunities to help the whole class understand the mathematics underlying these student contributions. To help teachers learn how to build on MOSTs, there is a need for professional development resources and tools that facilitators can use. There is also a need for research about how teachers use what they learn in professional development in their teaching. This project is developing a teacher learning sequence that will support teachers in learning to productively use student thinking that surfaces in-the-moment during their instruction—that is, in learning to build on MOSTs.

Mathematics education research has emphasized instruction that asks teachers to use approaches that center students’ mathematical thinking. A significant part of this is how teachers notice, or focus on, analyze, and decide how to respond to, mathematics thinking. One common professional development method is to use videos of mathematics teaching to help teachers understand what is possible for students' learning. This exploratory project aims to understand how facilitators of video-based teacher professional development learn to help mathematics teachers of middle and high school students notice student mathematical thinking.

Scientific literacy is an important educational goal, and the way scientists communicate is key to how science, as an institution, succeeds in its work. Conveniently, the recent and rapid rise of preprint publication platforms means that the public now has greater access to scientific communication and dialogue that occurs through open peer review. This is driving the need to educate students on, and engage them in, the evolving ways in which scientists construct and communicate knowledge. The goal of this project is to engage students in authentic science communication innovations through the implementation of a preprint and peer-review platform specifically designed for high school students.

Society has grown to rely on smart, embedded, and interconnected systems. This has created a great need for well-qualified and motivated engineers, scientists, and technicians who can design, develop, and deploy innovative microelectronics and Artificial Intelligence (AI) technologies, which drive these systems. This project will address the need for a more robust computer science and engineering workforce by broadening access to microelectronics and AI education leveraging the cutting-edge technologies of Tiny Machine Learning and low-cost microcontroller systems in diverse high schools. The goal of this project is to engage high-school students and teachers from underresourced communities in the design and creative application of AI-enabled smart, embedded technologies, while supporting their engineering identity development and preparing them for the STEM jobs of tomorrow.

While research has identified some features of professional development that impact teacher and student outcomes, there is still much mathematics education researchers do not know regarding which design features are most impactful to learning and how specific features of professional development connect to teacher learning. This project will investigate six prior NSF-funded professional development projects looking for features of the professional development associated with teacher uptake and learning, such as how the establishment of community or norms of collaboration support teachers’ long-term classroom practice.

Society has grown to rely on smart, embedded, and interconnected systems. This has created a great need for well-qualified and motivated engineers, scientists, and technicians who can design, develop, and deploy innovative microelectronics and Artificial Intelligence (AI) technologies, which drive these systems. This project will address the need for a more robust computer science and engineering workforce by broadening access to microelectronics and AI education leveraging the cutting-edge technologies of Tiny Machine Learning and low-cost microcontroller systems in diverse high schools. The goal of this project is to engage high-school students and teachers from underresourced communities in the design and creative application of AI-enabled smart, embedded technologies, while supporting their engineering identity development and preparing them for the STEM jobs of tomorrow.

Exemplary teaching in STEM fields encourages students from diverse backgrounds to pursue further education and careers in science, technology, engineering and mathematics. Improving teaching, however, first requires an understanding of the current landscape of STEM instruction. The 2027 National Survey of Science and Mathematics Education (NSSME+), the seventh iteration of the study, will continue monitoring the status of science, mathematics, and computer science education in the U.S. The study will examine policies and practices related to STEM education, including the extent to which instruction currently models effective, evidence-based teaching practices, and factors that influence teachers’ decisions about content and pedagogy. It will also attend to factors that contribute to the underrepresentation of some groups in STEM, further adding to general knowledge about ways to broaden participation.

Society has grown to rely on smart, embedded, and interconnected systems. This has created a great need for well-qualified and motivated engineers, scientists, and technicians who can design, develop, and deploy innovative microelectronics and Artificial Intelligence (AI) technologies, which drive these systems. This project will address the need for a more robust computer science and engineering workforce by broadening access to microelectronics and AI education leveraging the cutting-edge technologies of Tiny Machine Learning and low-cost microcontroller systems in diverse high schools. The goal of this project is to engage high-school students and teachers from underresourced communities in the design and creative application of AI-enabled smart, embedded technologies, while supporting their engineering identity development and preparing them for the STEM jobs of tomorrow.

Despite the importance of addressing climate change, existing K-12 curricula struggle to make the urgency of the situation personally relevant to students. This project seeks to address this challenge in climate change education by making the abstract, global, and seemingly intractable problem of climate change concrete, local, and actionable for young people. The goal of this project is to develop and test actLocal, an online platform for K–12 teachers, students, and the public to easily create localized climate change adaptation simulations for any location in the contiguous United States. These simulations will enable high school students and others to implement and evaluate strategies to address the impacts of climate change in their own communities.

This project will support a conference series, including an in-person gathering and virtual follow-up meetings, that will bring together teachers, researchers, education leaders, and instructional material designers to build a shared understanding of how to integrate the use of high-quality instructional materials with the benefits of localizing these materials to better address students’ contexts and backgrounds. By fostering dialogue, sharing models, and setting priorities for future research and design, the project seeks to build knowledge about inclusive, effective, and culturally responsive approaches to science instruction that will advance equitable science education in K–12 classrooms.

Science education integrates the study of and practices from the Next Generation Science Standards (NGSS). At the fundamental level, the pedagogy involves teaching and learning that emphasizes the use of scientific inquiry and the engineering design process to develop students’ problem-solving, critical thinking, and collaboration skills. Unfortunately, funding and professional development for teachers, which is essential to assure successful implementation of science lessons to increase the potential for student achievement, is lacking.

Therefore, this NSF-funded science-education research project explored the development of a model that deepens the existing partnerships among grass-roots, non-profit community education organizations, K-12 public schools, and local university partners. Together, they worked collaboratively to develop a model where teachers could work together with community partners to implement high-quality, place-based, NGSS-aligned science learning opportunities that actively engage students in their classrooms during the school day.

This research project has led to the development of a full PreK-12 DRK proposal for high-quality professional development for teachers, using the newly developed Teacher-Plus-Community Partners (T+CP) model, with the goals of increasing science efficacy for teachers and impacting student achievement in science.

Writing instruction in math and science is an essential area of research to ensure equitable K-12 and college experiences and to better prepare all students in ways that provide opportunities to pursue STEM career pathways. This project is a meta-analysis in the area of secondary (grades 6-12) math and science writing instruction.

High school counselors play an integral role in supporting students’ trajectories toward science, technology, engineering, and mathematics (STEM) careers. Many professional learning experiences for counselors have not focused specifically on developing awareness of a broad array of STEM careers and the corresponding high school activities and coursework that can establish students’ trajectories toward these careers. This project addresses this gap in practice by developing year-long professional learning experiences focused on engineering-related careers, with and for high school counselors.