Projects

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 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.

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.

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.

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.

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.

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 rapid onset of AI, and generative AI tools such as LLMs, amplify the need for AI literacies, including concepts, practices and ethics, for K-12 schools. Some AI literacy resources, such as AI4K12 and AI4ALL, have emerged, but it may be challenging for schools, particularly those in small districts, to navigate these resources. Furthermore, researchers need further guidance on how to support schools for AI literacy. These challenges for schools and researchers include how to coordinate planning across teachers, school leaders and researchers, how to implement across grade levels, classrooms, and content areas; how to provide training and preparation time to support lesson design and implementation; and how to support teachers in their own AI literacy. To address these needs, district leaders and teachers from Forest Park School District and researchers from the University of Illinois Chicago will engage in a one-year research practice partnership development to build a long-term RPP, co-design an AI literacy curriculum, and support professional development to implement the curriculum.

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.

Science education research shows that incorporating attention-grabbing concepts and experiences—phenomena—in science classes has the power to engage and inspire young learners. However, many elementary teachers, including those in small rural schools, may not have access to or the support to enact high-quality phenomenon-centered curriculum materials and resources in their science teaching practice. This project aims to address this problem of practice by designing, implementing, and investigating a professional learning approach that supports rural elementary teachers and administrators in incorporating local phenomena-driven science learning experiences in their classrooms.

Science education research shows that incorporating attention-grabbing concepts and experiences—phenomena—in science classes has the power to engage and inspire young learners. However, many elementary teachers, including those in small rural schools, may not have access to or the support to enact high-quality phenomenon-centered curriculum materials and resources in their science teaching practice. This project aims to address this problem of practice by designing, implementing, and investigating a professional learning approach that supports rural elementary teachers and administrators in incorporating local phenomena-driven science learning experiences in their classrooms.

Science education research shows that incorporating attention-grabbing concepts and experiences—phenomena—in science classes has the power to engage and inspire young learners. However, many elementary teachers, including those in small rural schools, may not have access to or the support to enact high-quality phenomenon-centered curriculum materials and resources in their science teaching practice. This project aims to address this problem of practice by designing, implementing, and investigating a professional learning approach that supports rural elementary teachers and administrators in incorporating local phenomena-driven science learning experiences in their classrooms.

Progress in science is motivated and directed by uncertainties. Yet even though uncertainty is a crucial fulcrum for scientific thought, school students are taught science within an overarching assumption that scientific knowledge is certain. This project explores the intellectual leverage of enabling middle school students to experience how scientific work grapples with uncertainty. The overall goal of this project is to understand how teachers can create equitable learning environments for culturally and linguistically diverse learners using Student Uncertainty for Productive Struggle as a pedagogical model in middle school science classrooms.

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.

Transdisciplinary science integrates knowledge across STEM disciplines to research complex challenges such as climate science, genetic engineering, or ecology. In this project, teachers and students will design smart greenhouses by connecting electronic sensors that can detect light or other environmental data to microcontrollers that can activate devices that water plants and regulate other environmental factors such as temperature or light. This activity brings together engineering, computer science, and horticulture. Working across urban and rural contexts, the project will engage teachers in professional development as they adopt and adapt instructional materials to support their students in learning across disciplines as they build smart greenhouses.

Providing computer science (CS) education to students prior to high school is critical for catalyzing their interest in CS and closing achievement and development gaps. However, the retention rate for underrepresented group participants in middle school CS teacher preparation programs is lower than that for their peers. The resulting lack of diversity in CS teachers contributes to students’ inequitable access to quality middle school CS education. In this project will investigate effective design and implementation strategies of CS teacher preparation programs aimed to increase the number of middle school CS teachers from underrepresented groups.

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.

Transdisciplinary science integrates knowledge across STEM disciplines to research complex challenges such as climate science, genetic engineering, or ecology. In this project, teachers and students will design smart greenhouses by connecting electronic sensors that can detect light or other environmental data to microcontrollers that can activate devices that water plants and regulate other environmental factors such as temperature or light. This activity brings together engineering, computer science, and horticulture. Working across urban and rural contexts, the project will engage teachers in professional development as they adopt and adapt instructional materials to support their students in learning across disciplines as they build smart greenhouses.

Professional learning communities (PLCs) are one common model for teachers to collaborate and learn from one another. The goal of this study is to understand how teachers' expertise is positioned in a PLC and the larger system of the school and district to inform mathematics teaching and learning. This should help schools and districts understand the features of PLCs that are important for supporting teachers as they collaborate and learn.

Transdisciplinary science integrates knowledge across STEM disciplines to research complex challenges such as climate science, genetic engineering, or ecology. In this project, teachers and students will design smart greenhouses by connecting electronic sensors that can detect light or other environmental data to microcontrollers that can activate devices that water plants and regulate other environmental factors such as temperature or light. This activity brings together engineering, computer science, and horticulture. Working across urban and rural contexts, the project will engage teachers in professional development as they adopt and adapt instructional materials to support their students in learning across disciplines as they build smart greenhouses.

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.

Data literacy is the ability to ask questions, analyze, interpret, and draw conclusions from data. As the world and the workplace become more data-driven, students need to have stronger data literacy across multiple disciplines, including science. This project uses an instructional framework, Data Puzzles, to investigate how to support middle grades teachers learning to include data literacy in their science teaching. Data Puzzles integrate mathematical and computational thinking with ambitious science teaching instructional practices and contemporary science topics. Students engaging with Data Puzzles resources can analyze real-world climate science data using web-based data analysis tools to make sense of science phenomena and develop data literacy.

To position students as mathematically competent, middle grades mathematics teachers need easily accessible professional learning (PL), including opportunities to participate in discussions about both mathematics content and teaching practices. A Video in the Middle (VIM) based learning series, the Coherent Asynchronous Online Mathematics Teacher Professional Learning (PL) project will help address this need by producing (1) a refined version of the existing VIM design and development prototype and (2) an asynchronous, collaborative online learning series comprising ten 2.5-hour sessions that focus on positioning students as mathematically competent in representing and conceptualizing transformations-based similarity, slope, or linear functions.