Projects

The goal of this project is to build teacher capacity for integrating computational thinking (CT) into grades 6–8 science classrooms. The project will support teacher professional vision and adaptive expertise for CT-infused instruction through instructional coaching, professional development workshops, and an online professional learning community. These efforts aim to empower teachers to design, enact, and adapt CT-integrated lessons that foster students’ positive attitudes toward science and enhance their knowledge of science and CT.

Rapid changes in computing, especially with advances in artificial intelligence, are reshaping the future needs of society and the demands on the STEM workforce. More than ever, computer science (CS) education is critical for all children. Many schools are looking for ways to introduce CS skills and thinking in the elementary grades. Whereas some initiatives have focused on coding as its own endeavor, not integrated with subjects like mathematics, science, or literacy, developers and researchers are increasingly exploring ways that programming and computational thinking (CT) can be integrated into core content. This project will design and study resources that build teacher capacity to integrate CS/CT into mathematics by building on the investigators' prior work developing integrated Math+CS modules in grades 2-5.

This project explores how immersive field science experiences and carefully designed digital resources can help secondary teachers make science more engaging and relatable for students. The research team will study how teachers incorporate what they learn from real-world science experiences into their classroom teaching and whether online materials can replicate some of the same benefits. By improving both immersive and digital professional learning experiences, the project aims to increase access to and decrease the cost of high-quality instructional supports, especially for teachers who cannot attend traditional field-based learning.

The goal of this project is to build teacher capacity for integrating computational thinking (CT) into grades 6–8 science classrooms. The project will support teacher professional vision and adaptive expertise for CT-infused instruction through instructional coaching, professional development workshops, and an online professional learning community. These efforts aim to empower teachers to design, enact, and adapt CT-integrated lessons that foster students’ positive attitudes toward science and enhance their knowledge of science and CT.

As STEM education researchers work to improve STEM teaching and learning in schools and districts across the nation, rural communities are often overlooked. There is a definite critical need for STEM education research focused on rural communities. Rural schools typically have less funding for STEM programs, have trouble recruiting and retaining quality STEM teachers, and have less access to STEM learning opportunities. Yet, rural communities possess an abundance of ingenuity, resourcefulness, and collective problem-solving skills. This project works to address this need by bringing together researchers, rural educators, and workforce leaders in rural communities to support the mutual exchange of knowledge and learning around pressing problems in rural K-12 STEM education, understanding rural ingenuity within teaching STEM, and STEM education's connection with the local workforce.

While simulations are powerful tools for scientific inquiry, most students need scaffolding to engage productively in simulation-based inquiry. This project will develop and study an automated feedback system designed to support middle school students' simulation-based inquiry into wildfires, floods, and hurricanes. The system, called Hazbot, will leverage advanced artificial intelligence (AI) technologies—including machine learning and large language models (LLMs)—to provide timely, personalized feedback as students investigate the three different natural hazards.

Scientific sensemaking is core to learning and doing science. Oral and written language, visual and numerical representations, physical models, and other forms of communication are vital to scientific sensemaking, yet research has not yet fully explored how science curricula can be customized to account for the unique communicative repertoires of individual learners within elementary science classes. This project will address this important gap in practice by developing a suite of tools that elementary teachers can use to customize existing open-source, standards-aligned science curricula, such that these curricula are better able to support students with a range of communicative strengths, including multilingualism.

Disengagement from mathematics during middle and high school is a widespread concern that contributes to lower academic achievement and diminished long-term participation in STEM fields. Research shows that students' beliefs about their ability to grow and improve—often referred to as growth mindsets—can significantly enhance motivation, persistence, and performance. However, classroom environments and teacher practices play a critical role in shaping these beliefs. This project evaluates a professional development program, Fellowship Using the Science of Engagement (FUSE), designed to help 6th through 9th grade math teachers adopt instructional practices that foster growth mindset-supportive learning environments. The program provides teachers with research-based insights into adolescent development, structured opportunities to revise their instructional language and feedback practices, and personalized guidance through AI-supported coaching. The study examines whether the FUSE program improves teacher mindsets, communication practices, and well-being, and whether these changes lead to increased student motivation, improved perceptions of classroom climate, and higher performance on state mathematics assessments.

While family engagement in mathematics is highly predictive of children's mathematical outcomes, teachers' family engagement responsibilities are rarely addressed in teacher preparation programs. This conference seeks to improve how teacher preparation programs equip educators to engage families in preK-5 children's math learning by bringing together math teacher educators, preK-5 classroom teachers, families/caregivers, and mathematics teacher candidates. Beginning with an in-person gathering and followed by two virtual workshops, the conference will elevate models of community-engaged mathematics teacher preparation and explore the competencies that elementary grade teachers must develop to meaningfully engage families in mathematics.

Throughout the United States, elementary classrooms include students with a range of communicative practices and strengths, including strengths in speaking one or more languages, and strengths in generating and understanding different types of representations. Although an emerging body of research has begun to explore how individual teachers can productively leverage these communicative strengths toward enhanced science learning and further develop language through science, there is currently little research on how larger-scale district infrastructures can be designed to support science learning that leverages and supports language development. This project will address this critical gap by developing a process through which school districts can design comprehensive infrastructures that leverage a broad range of linguistic and communicative practices for enhanced science learning among elementary students.

As artificial intelligence (AI) becomes increasingly embedded in the technologies used by both students and teachers, it is essential for them to understand how to be safe while using AI. Furthermore, AI and cybersecurity technology together are better at detecting malicious activities than conventional security systems. The need to blend the two disciplines into a single, integrated curriculum for K-8 education is highlighted by the interconnectedness of AI and cybersecurity as complementary systems. This project will "plant the seeds" of these literacies by spiraling content on topics from computer programming, internet fundamentals, and introduction to data and AI along with cybersecurity topics in small doses throughout students' K-8 education. This project will lay the foundation for the students to eventually develop a comprehensive understanding of how different technologies work and interact.

Scientific sensemaking is core to learning and doing science. Oral and written language, visual and numerical representations, physical models, and other forms of communication are vital to scientific sensemaking, yet research has not yet fully explored how science curricula can be customized to account for the unique communicative repertoires of individual learners within elementary science classes. This project will address this important gap in practice by developing a suite of tools that elementary teachers can use to customize existing open-source, standards-aligned science curricula, such that these curricula are better able to support students with a range of communicative strengths, including multilingualism.

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 addresses the critical need for improved mathematics education of elementary teachers and their students by preparing and supporting Elementary Mathematics Specialists (EMSs) who are highly effective mathematics teachers and teacher leaders. The program provides these EMSs with professional development grounded in research-informed practices and focuses on refinement of an existing program. The project aims to develop ambitious, responsive mathematics instruction and to provide high-quality coaching to teacher candidates and novice teachers.

As artificial intelligence (AI) becomes increasingly embedded in the technologies used by both students and teachers, it is essential for them to understand how to be safe while using AI. Furthermore, AI and cybersecurity technology together are better at detecting malicious activities than conventional security systems. The need to blend the two disciplines into a single, integrated curriculum for K-8 education is highlighted by the interconnectedness of AI and cybersecurity as complementary systems. This project will "plant the seeds" of these literacies by spiraling content on topics from computer programming, internet fundamentals, and introduction to data and AI along with cybersecurity topics in small doses throughout students' K-8 education. This project will lay the foundation for the students to eventually develop a comprehensive understanding of how different technologies work and interact.

This project will investigate how recent advances in artificial intelligence can support computational thinking development within an innovative biology curriculum in which students design and program a robotic arm controlled by their own muscle activity. Specifically, the project will focus on how AI tools can assist students in designing algorithms and translating them into computer programs.

This project will investigate how to design an after-school mathematics space within a school setting that can challenge and expand both students' and teachers' conceptions of what doing mathematics means and teach them to see participation in the discipline in increasingly nuanced and expansive ways. The study focuses on designing an after-school program to support recreational mathematics activities for elementary students. At the same time, teachers who are supporting the after-school program with students will have the opportunity to learn to notice different forms of mathematical participation and learning.

Elementary school students' prolonged experiences with positive numbers and operations often lead to their overgeneralizations of rules (e.g., adding always makes larger numbers, subtracting always makes smaller numbers). These overgeneralizations can make learning algebra more difficult later, particularly when students must simultaneously learn algebra, negative numbers, and operations with negative numbers. The purpose of this project is to design and develop educational games centered on negative number concepts that target students before they learn algebra in middle school. Earlier exposure to and learning about negative numbers could increase students' motivation, understanding of connections between positive and negative numbers, and preparation for algebra.

Given the national priority for America's leadership in science, there is a need to strengthen the quality of teaching and learning in science classrooms. This conference brings together researchers, practitioners, curriculum developers, and policymakers to chart the future of curriculum-based professional development (CPBL) in science education. CBPL is an approach that uses high-quality curricular materials as a catalyst for teacher learning. Presently, the field is not clear about how teachers learn from these well-designed materials and what other supports might be necessary. This conference aims to address pressing questions about how high-quality materials can drive teacher learning, how materials should be designed to support teacher learning trajectories, how CBPL can promote high quality science education, and what organizational supports are needed for successful implementation. Through structured collaboration among stakeholders, the gathering will consolidate existing work and generate concrete plans for advancing both research and practice in ways that honor teacher professionalism while supporting student learning in science.

Preschool and kindergarten-aged children are still developing the skills needed to reflect on and manage their own thinking, a process often referred to as metacognition. Without strategic support from their teachers, young children may struggle to make sense of inquiry-based science activities and possibly form enduring misconceptions that may hamper future science learning. Yet, many teachers are unfamiliar with the metacognitive processes or how to intentionally facilitate their development. This project explores both how to improve early childhood teachers' understanding of metacognition and develop strategies to guide teachers in using language and feedback to more effectively support emerging metacognition and science learning in young children.

The growing importance of data, data science and artificial intelligence (AI) in education, work, and personal and civic life has increased the need for all U.S. students to develop data literacy, statistical reasoning, and computational thinking skills. However, most middle school students—especially those with learning disabilities (SLD)—receive limited or no instruction in these areas. Data science and AI instruction is often limited to high school settings, narrowly framed within mathematics or science, and rarely designed with the flexibility to support learner variability. The purpose of this project is to develop and refine Data Adventures, a series of open-access, modular, and instructional experiences units designed to introduce middle school students to data literacy, computational thinking, and digital storytelling, while also promoting critical understanding of AI and its role in education, work technology, and everyday life.

Elementary school students' prolonged experiences with positive numbers and operations often lead to their overgeneralizations of rules (e.g., adding always makes larger numbers, subtracting always makes smaller numbers). These overgeneralizations can make learning algebra more difficult later, particularly when students must simultaneously learn algebra, negative numbers, and operations with negative numbers. The purpose of this project is to design and develop educational games centered on negative number concepts that target students before they learn algebra in middle school. Earlier exposure to and learning about negative numbers could increase students' motivation, understanding of connections between positive and negative numbers, and preparation for algebra.

Significant resources have been invested in workforce development to ensure the world is prepared for the growth of the quantum industry, yet relatively little work has focused on K-12 education. This project will address the challenge of effectively engaging K-12 students in this new area and teaching them complex quantum science concepts by developing a toolkit of K-12 quantum frameworks that will serve as a guide for building student understanding of quantum concepts over time. This project will identify the alignment of content across grade levels required for teaching quantum within the disciplines of chemistry, physics, mathematics, and computer science.

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 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.