Projects

This project will explore how a nationally implemented professional development model is applied in two distinct Indigenous communities, the impact the model has on teacher practice in Native-serving classrooms, and the model's capacity to promote the integration of culturally responsive approaches to STEM teaching.

In this project, Student Reporting Labs will develop an online curriculum delivery platform called StoryMaker and a unique set of tools called Storymaker:STEM that will supply in-demand interdisciplinary, multi-modal, STEM-infused teaching and learning tools to classrooms across the country. The project aims to produce unique STEM stories from a teen perspective and partners with local public media stations to provide mentorship and amplify the voices of young people.

This project will study the Developing Leaders Transforming Practice (DLTP) intervention, which aims to improve teachers' instructional practices, increase student mathematics understanding and achievement.

This project will capitalize on the STEM for All Video Showcase and extend its impact by creating a STEM for All Multiplex. The Multiplex will draw on past and future Video Showcase videos to create a multimedia environment for professional and public exchange, as well as to provide a way for anyone to search the growing database of videos, create thematic playlists, and re-use the content in new educational and research contexts.

This project will address the potential positive and negative impacts of using 360-degree video for bridging the gap between theory and practice in mathematics instruction by investigating how preservice teachers' tacit and explicit professional knowledge are facilitated using immersive video technology and annotations.

This project will support the participation of 53 US K-12 mathematics teachers, graduate students, community college/university mathematicians, mathematics teacher educators, and mathematics education researchers to attend the Fourteenth International Congress for Mathematical Education (ICME-14) in Shanghai, China.

This project will study the Developing Leaders Transforming Practice (DLTP) intervention, which aims to develop teacher leaders, improve teachers' instructional practices, and increase student mathematics understanding and achievement.

Focusing on the Southwest Desert ecoregion, this conference addresses the need for research on effective instructional methods that can be used to support students' science learning in school gardens. The conference will lead to the development of an ecoregional model for garden-based science teaching (GBST) that builds on regional ecological and cultural resources to engage teachers and students in richer and more relevant science learning experiences.

This project will address STEM learning through classroom implementation at two project partner schools in North Carolina, one urban and the other rural, with culturally diverse student populations. The project offers high school students the opportunity to be immersed in science content through engaging in globally-relevant learner-centered activities.

The project will develop and research a new Mixed Reality environment (MR), called GEM-STEP, that leverages play and embodiment as resources for integrating computational modeling into the modeling cycle as part of science instruction for elementary students.

This project will engage teams of students and teachers of grades 7-12 in four competitive Challenges to design innovative strategies for carbon mitigation in areas such as transportation, agriculture or energy use. The project expands the typical boundaries of schools by enabling teams of students in multiple locations to collaborate in model-based reasoning through online discussion forums, using social media, and crowdsourcing ideas to construct possible solutions to environmental challenges. Project research will examine the impacts of the project on student learning and engagement.

This project responds to these priorities by developing and testing a place-based environmental science research and monitoring program for elementary school students and their teachers.

The purpose of this project is to fully explore the mathematics education literature to synthesize what validity evidence is available for quantitative assessments in mathematics education.

The project will develop and research a new Mixed Reality environment (MR), called GEM-STEP, that leverages play and embodiment as resources for integrating computational modeling into the modeling cycle as part of science instruction for elementary students.

This project will develop and test a two-year professional development model for secondary school science teacher leaders that will help them support their colleagues in implementing the Next Generation Science Standards (NGSS).

This project responds to these priorities by developing and testing a place-based environmental science research and monitoring program for elementary school students and their teachers.

This project's approach uses two types of embodied performances: experiential performances that engage learners in using their bodies to physically experience scientific phenomena (e.g., the increase of heart rate during exercise), and dramatic performances where learners act out science ideas (e.g., the sources and impact of air pollution) with gestures, body movement, dances, role-plays, or theater productions. The project is adding to the limited science education literature on the use, value, and impact of embodied performances in science classrooms, and on the brilliance, ingenuity, and science knowledge that all youth, and particularly historically marginalized young people, have and can further develop in urban school classrooms.

This project will develop and test a professional development program designed for school district science coordinators by examining impacts of participating coordinators on science teachers and their students.

This project will examine how partnerships among state science leaders, education researchers and education practitioners cultivate vertical coherence and equity in state science education.

This project will develop a cloud-based platform that enables high school students, teachers, and scientists to conduct original neuroscience research in school classrooms.

This project seeks to strengthen statistics and data science instruction in grades 6–12 through the design and implementation of an online professional learning environment for teachers. In partnership with RTI International, the InSTEP project designed and launched instepwithdata.org, an online professional learning platform that supports in-service teachers in developing both deeper content knowledge in statistics and the pedagogical expertise needed to teach statistics and data science effectively in their classrooms.

InSTEP is intentionally designed as a flexible professional learning experience with no fixed sequence of completing activities and modules. Teachers can chart their own learning pathways, engaging with selected resources or the full collection of materials based on their interests and needs. This flexibility allows educators to work at their own pace while deepening their understanding of key aspects of classroom practice, including selecting meaningful data and statistics tasks, facilitating rich classroom discourse, and making thoughtful choices about technology tools. 

InSTEP provides two primary types of learning experiences:

Self-Paced Modules. These modules support focused exploration of 7 individual dimensions, helping teachers strengthen both their statistical content knowledge and instructional practice. Together the 7 interconnected dimensions characterize effective learning environments for teaching data science and statistics, as shown in the accompanying diagram. As of January 2026, the platform includes 15 modules spanning the seven dimensions.

Data Investigations. These inquiry-oriented experiences immerse teachers in working with real-world, multivariate datasets using data visualization tools. Each investigation is situated in an authentic context and engages teachers in core Data and Statistical Practices and Central Statistical Ideas. Investigations are organized around the Data Investigation Process (Lee et al., 2022), represented in the puzzle-piece figure. As of January 2026, there are six investigations available.

In this project, high school engineering teachers will spend five weeks in a research lab devoted to biologically-inspired design, as they partner with cutting-edge engineers and scientists to study animal features and behavior and their applications to engineering designs. After this lab experience, the high school teachers will receive three six- to ten-week curricular units, tailored for tenth- through twelfth-grade students, which teach biologically-inspired design in the context of problems that are relevant to youth.

The main goal of this project is to validate a set of rubrics that attend to the existence and the quality of instructional practices that support equity and access in mathematics classes. The project team will clarify the relationships between the practices outlined in the rubrics and aspects of teachers' perspectives and knowledge as well as student learning outcomes.

This project will investigate the factors that influence curriculum coherence and how teachers in Grades 3-5 respond to these factors as they make decisions about their mathematics curriculum.

This project will provide structured and meaningful scaffolds for teachers in examining two research-based teaching strategies hypothesized to positively impact mathematics achievement in the areas of mathematical modeling and problem solving. The project investigates whether the order in which teachers apply these practices within the teaching of mathematics content has an impact on student learning.