Projects

In this project, over 500 elementary education majors will team with engineering majors to teach engineering design to over 1,600 students from underrepresented groups. These standards-based lessons will emphasize student questioning, constructive student-to-student interactions, and engineering design processes, and they will be tailored to build from students' interests and strengths.

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 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.

The conference will attract thought leaders, policy makers, supervisors of practice and scholars of measurement science to be informed of emerging thought and developments and to discuss selected models for the implementation of new ways of generating and utilizing data from education tests.

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.

The primary goal of this set of workshops is to provide STEM education researchers with the framework, skills, and community they need to implement new developments in causal inference methods into their research.

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.

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.

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 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.

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

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 Third National Conference on Doctoral Programs in Mathematics Education will bring together a group of faculty members in mathematics education from a range of institutions that currently graduate doctorates 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 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 will develop a cloud-based platform that enables high school students, teachers, and scientists to conduct original neuroscience research in school classrooms.

This project will investigate the development and emergence of spatial gender stereotypes (and their relation to math gender stereotypes) in elementary school-aged children and their impact on parent-child interactions in the pre-school period.

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.

This project investigates how to use new touch technologies, like touchscreens, to create graphics and simulations that can be felt, heard, and seen. Using readily available, low-cost systems, the principal investigator will investigate how to map visual information to touch and sound for students with visual impairments.

This project will study a model of pre-service teacher preparation that is designed to to increase teachers' and students' skills and confidence with computational thinking and develop teachers as designers of inclusive learning environments to promote computational thinking. The project will engage elementary (grades K-5) pre-service teachers (who are concurrently involved in school-based teacher preparation programs) as facilitators in an existing family technology program called Family Creative Learning (FCL).