Projects

The purpose of this project is to test the efficacy of the Learning and Teaching with Learning Trajectories (LT2) program with the goal of improving mathematics teaching and thereby increasing young students' math learning. LT2 is a professional development tool and a curriculum resource intended for teachers to be used to support early math instruction and includes the mathematical learning goal, the developmental progression, and relevant instructional activities.

This project is a professional learning experience for middle school teachers to support them in developing five mathematical practices in their teaching focused on mathematical argumentation - creating mathematical arguments, using appropriate tools strategically, looking for and make use of structure, attending to precision, and looking for and express regularity in repeated reasoning.

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.

The aim of this project is to enact and study a process in which middle school teachers of mathematics and visual arts co-design and teach activities that combine math and art to teach data science.

This project will address the pressing national need to generate shared, practice-based knowledge about how to implement freely available, high-quality instructional resources (mathematics formative assessment lessons) that have been shown to produce significant gains in student learning outcomes. It will expand a professional development model (Analyzing Instruction in Mathematics using the Teaching for Robust Understanding Framework (AIM-TRU)) that supports teacher learning about effective lesson implementation.

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 purpose of this project is to develop and validate a range of assessments with a focus on academic preparedness for higher education. The team will explore relevant qualities of assessments such as their differential predictive validity to ensure they are appropriate for underrepresented groups, the optimal grade level to begin assessing readiness, and measures that are most appropriate for predicting STEM-specific readiness.

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 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 plan, implement, and evaluate the outcomes of an invitational conference on the role of equity in whole-school STEM education models, particularly Inclusive STEM Schools (ISS), at the high school level.

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.

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 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.

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 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 aims to support stronger student outcomes in the teaching and learning of geometry in the middle grades through engaging students in animated contrasting cases of worked examples. The project will design a series of animated geometry curricular materials on a digital platform that ask students to compare different approaches to solving the same geometry problem. The study will measure changes in students' procedural and conceptual knowledge of geometry after engaging with the materials and will explore the ways in which teachers implement the materials in their classrooms.

This project will use an alternative model for online videos to develop video units that feature the unscripted dialogue of pairs of students. The project team will create a repository of 6 dialogic mathematics video units that target important Algebra 1 and 2 topics for high school and upper middle school students, though the approach can be applied to any STEM topic, for any age level.

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.

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 develop teacher leaders, improve teachers' instructional practices, and increase student mathematics understanding and achievement.

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.