Projects

The purpose of this project is to develop a home mathematics environment (HME) intervention for preschool-aged children with developmental delays (DD). The project includes caregivers of children with DD as collaborators in the iterative design process to develop feasible and sustainable HME intervention activities.

Understanding of algebra concepts is necessary for students to gain access to STEM pathways. However, recent efforts in education have failed to improve algebra outcomes for many students, especially those with learning disabilities and persistent difficulties in mathematics. The primary goal of this project is to develop a supplemental intervention that intentionally develops students' concept of variable as they learn to (a) interpret and evaluate expressions, (b) represent real-life mathematical word problems using algebraic notation, and (c) solve linear equations. A focus on clarifying common misconceptions about variables will be interwoven throughout the program.

This research synthesis systematically reviews and meta-analyzes the evidence on relationships between teacher support, student engagement, and mathematics achievement in the instructional–relational model framework. The researchers rigorously examine the consistency and variability of the relationships between the domains and constructs across studies.

This project is an innovative exploratory research study focused on developing a high school environmental engineering curriculum that addresses the challenges posed by climate change. The curriculum follows a model-validate-iterate design paradigm, where students model dynamic real-world systems, validate their models using data, and create multiple iterations to explore changes in the system over time. The project aims to cultivate a new generation of environmental engineers who possess the necessary skills to analyze complex systems, collaborate with diverse communities, and develop creative solutions.

This research study examines the potential of integrating student-driven descriptive investigations of complex multivariate civic datasets into middle school social studies classrooms. It uses a collaborative co-design process to develop data-rich experiences for the social studies classroom crafted to 1) deepen students' data literacy, 2) develop students' sense of efficacy in working with civic data sets, and 3) create learning experiences that connect data to local problems that have meaning for students and their communities.

This project seeks to better understand how teachers' capacity and willingness to customize instructional approaches to meet standards and the needs of diverse student populations develops through initial practice and successive enactments of curriculum materials. This work will address current gaps in the literature and contribute to an overall understanding of how teachers develop the capacity to use curricula in ways that advance the goal of equitable science instruction.

This project will build an interactive and integrated curricular and professional development technological system: the Building Blocks Toolset (BBToolset). The BBToolset is designed to benefit all early childhood educators and their students. Young children will learn from engaging, effective digital educational games and face-to-face activities. Teachers will receive just-in-time professional development related to their students' development and guidance on curricular choices and culturally sensitive pedagogical strategies.

This project builds capacity for middle school teachers to enact and adapt integrated STEM curriculum units with their students. The units will focus on biomimicry—examining structures and functions found in nature and applying these to solve human problems, which combines science, engineering, and technology. The project enables teachers to design activities that are personally authentic to their students by supporting teachers to examine their students' assets, needs, and interests and center these during unit design.

This project aims to create and test an innovative educational approach for bringing STEM learning experiences to underserved youth. It will co-create and study an outdoor robotic-augmented playground called the “Smart Playground” and a corresponding series of classroom lessons. The Smart Playground will be co-designed with Latinx families and educators to engage children in developing computational thinking skills and learning about robotics in a physical environment using a culturally sustaining approach. Research and evaluation will examine whether exposure to the Smart Playground and corresponding classroom activities have an impact on the development of computational thinking in young children.

There have been prominent and widespread calls for high school science students to work with data in more complex ways that better align with and support the work of professional scientists and engineers. However, high school students' analysis and interpretation of scientific data is often limited in scope, complexity, and authentic purpose. This project aims to support and advance students' work with ecological data in high school biology classrooms by embracing a new approach: Bayesian data analysis methods. Such methods involve expressing initial ideas or beliefs and updating them quantitatively with data that students access or record. This project will empower 20 high school teachers and their approximately 1,200 students to make sense of data within and beyond classroom contexts. It also will involve sharing research findings, an educational technology tool for Bayesian data analysis, and curricular resources in open and accessible ways.

This project aims to create and test an innovative educational approach for bringing STEM learning experiences to underserved youth. It will co-create and study an outdoor robotic-augmented playground called the “Smart Playground” and a corresponding series of classroom lessons. The Smart Playground will be co-designed with Latinx families and educators to engage children in developing computational thinking skills and learning about robotics in a physical environment using a culturally sustaining approach. Research and evaluation will examine whether exposure to the Smart Playground and corresponding classroom activities have an impact on the development of computational thinking in young children.

The goal of this project is to study how secondary students come to understand better an underlying logic of natural sciences—the relation between construction of new ideas and critique of them. Science education has traditionally focused mostly on how students construct models of natural phenomena. However, critique is crucial for iterative refinement of models because in professional science, peer critique of explanatory models motivates and guides progress toward better understanding. This project engages students in this process and helps them understand the relation of critique to better explanations, by focusing students on the criteria by which critique and understanding develop together through classroom discussions.

This synthesis study includes a comprehensive systematic review and meta-analysis of research published since 2001 evaluating the impact of family engagement interventions on student STEM outcomes. The goal of this project is to (a) determine the effectiveness of family engagement interventions on STEM outcomes, (b) identify practices/components within interventions that are most effective for promoting STEM outcomes, and (c) reveal the extent to which the effects of family engagement interventions vary as a function of study quality and/or certain child, family, and community characteristics.

Geometry instruction offers unique opportunities for students to apply design thinking to authentic problems. This project supports teachers in designing and implementing lessons using a human-centered design (HCD) approach. Geometry teachers will participate in lesson study for two years to plan problem-based geometry lessons and to observe student thinking during those lessons. The project investigates how teachers learn about and apply a human-centered framework for teaching geometry.

This project aims to create and test an innovative educational approach for bringing STEM learning experiences to underserved youth. It will co-create and study an outdoor robotic-augmented playground called the “Smart Playground” and a corresponding series of classroom lessons. The Smart Playground will be co-designed with Latinx families and educators to engage children in developing computational thinking skills and learning about robotics in a physical environment using a culturally sustaining approach. Research and evaluation will examine whether exposure to the Smart Playground and corresponding classroom activities have an impact on the development of computational thinking in young children.

The goal of this project is to study how secondary students come to understand better an underlying logic of natural sciences—the relation between construction of new ideas and critique of them. Science education has traditionally focused mostly on how students construct models of natural phenomena. However, critique is crucial for iterative refinement of models because in professional science, peer critique of explanatory models motivates and guides progress toward better understanding. This project engages students in this process and helps them understand the relation of critique to better explanations, by focusing students on the criteria by which critique and understanding develop together through classroom discussions.

This project will contribute new knowledge on two aspects of participation in mathematics education. First, this research aims to understand how perceptions of race influence how teachers, future teachers, and researchers assess how bilingual children use their languages and movement to participate in mathematical activity. Second, it will explore ways to counter deficit views that influence teachers’, preservice teachers’, and researchers’ perceptions of these multiple ways of participating as inferior to what is traditionally considered as meaningful participation.

The project aims to develop and research Intelligent Science Stations, a new genre of interactive science experiences. The Intelligent Science Stations will provide students in kindergarten to 4th grade with hands-on science experiences, augmented by an intelligent agent that offers feedback based on artificial intelligence computer vision. This innovative approach offers evidence-based, personalized support and feedback to children, while also assisting teachers in integrating more inquiry-based science learning into their classrooms. By modeling behaviors like asking questions, making predictions, and explaining scientific phenomena, the interactive AI system helps teachers enhance their classroom experiences.

One crucial predictor of success in STEM disciplines is spatial reasoning ability, which involves mentally manipulating and representing objects in space. However, STEM courses often neglect the purposeful development of spatial reasoning skills, and limited knowledge exists on effective training methods. This project aims to address this gap by: 1) identifying neural and cognitive processes associated with successful mental rotation, a fundamental aspect of spatial reasoning; 2) assessing the responsiveness of these processes to training; and 3) measuring the transfer of training effects to real-world STEM problems, specifically focusing on introductory chemistry.

This project will investigate the potential of a novel approach to mathematics intervention that leverages the affordances of technology and evidence-based pedagogy to improve mathematics learning for middle school students. The mathematics intervention entitled EMPIRES is a collaborative activity set in Ancient Mesopotamia that offers a multifaceted approach in which (1) rich, narrative math problems increase conceptual comprehension; (2) animated representations of mathematics concepts support mathematical understanding; (3) multiplayer collaboration leads to peer instruction and modeling; (4) simulations offer exciting challenges that increase mathematics resiliency; and (5) a bridge curriculum aids transfer of learning to multiple contexts, including traditional standardized tests.

Acquiring scientific knowledge and skills requires persisting through challenges, yet it has become increasingly common for parents in the United States to step in and solve problems for their children. This type of over-engaged parenting leads preschool-age children to have lower persistence, lower executive function, and worse reading and math achievement in grade school across socioeconomic backgrounds. Prior work leaves open major theoretical and practical questions about the beliefs that drive over-engaged parenting and children’s response to it. Our research aims to fill these gaps by examining the causes and consequences of over-engaged parenting so that we can better understand how caregivers can support children's scientific success upon school entry.

This project will develop, enact, and study a critical climate technology journalism curriculum to support multilingual sixth grade students’ knowledge and practices in engineering. Synthesizing expertise in climate technology, communication, and multilingual education, the project will engage students in investigating, designing, and communicating critical engineering knowledge about community-based technological systems. Students will learn engineering as they construct and convey messages about climate technology in their community for an audience of family members, community groups, and civic leaders.

The goal of this project is to investigate the integration of computational thinking (CT) into elementary school curricula by studying how teachers develop expertise in integrating CT activities that align with interdisciplinary standards and existing curricula. Leveraging an asset-based approach, the project will provide opportunities to broaden participation in computer science education through building a community of practice for teachers and designing CT-infused curricula.

The goal of this project is to investigate the integration of computational thinking (CT) into elementary school curricula by studying how teachers develop expertise in integrating CT activities that align with interdisciplinary standards and existing curricula. Leveraging an asset-based approach, the project will provide opportunities to broaden participation in computer science education through building a community of practice for teachers and designing CT-infused curricula.

Elementary students need opportunities to see science as meaningful and relevant to their lives. One way to increase this relevance is with learning experiences that are grounded in community-based questions and inquiries that students identify and carry out themselves. An important contribution of this project is investigating how culturally relevant and community-based science curriculum helps to affirm and develop Black students’ science identities in an urban, elementary classroom. This project will partner with third, fourth and fifth-grade elementary teachers to create and to investigate such learning experiences.