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.
Projects
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 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.
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Research has shown that when teachers have strong content and pedagogical content knowledge that they can provide better quality mathematics instruction to their students and improve student outcomes. The goal of this project is to enhance elementary school teachers’ capacity to improve students’ mathematics learning through a scaled professional development program that uses artificial intelligence (AI) to create a personalized, active learning environment for teachers.
This project will develop a technology platform that can streamline lesson planning and allow teachers to adapt resources to their students' needs. The project will design and investigate an AI-powered lesson plan tool for middle-grades mathematics teaching called Colleague. Using existing, open-access lesson plans that have been vetted in prior work, the project would refine the tool for generating math lesson plans and supporting teachers to iteratively improve their instruction. Streamlining lesson planning would open more time for teacher creativity and reduce job stress. The study would explore how teachers use Colleague to plan and adapt lessons, the influence on teaching, and the students' learning.
High-quality early educational experiences, particularly in mathematics, are crucial for students’ success in K-12 schooling. To create these foundational experiences for young children, early childhood educators need opportunities to enhance their mathematics teaching through job-embedded, sustained professional learning. This partnership development project establish a collaboration among early childhood mathematics educators, school and district leaders, the state department of education, and university faculty in Delaware that aims to enhance children’s early mathematics learning by collaboratively designing support systems for strengthening their teachers’ professional learning.