Projects

The goal of this Transforming STEM Learning project is to comprehensively describe models of 20 inclusive STEM high schools in five states (California, New Mexico, New York, Ohio, and Texas), measure the factors that affect their implementation; and examine the relationships between these, the model components, and a range of student outcomes. The project is grounded in theoretical frameworks and research related to learning conditions and fidelity of implementation.

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 addresses the pressing need to more effectively organize STEM (science, technology, engineering, and mathematics) teaching and learning around "big ideas" that run through science disciplines. Unfortunately, finding ways to teach big ideas effectively so they become useful as knowledge frameworks is a significant challenge. Deep structure modeling (DSM), the innovation advanced in this project, is designed to meet this challenge in the context of high school biology.

This project addresses the pressing need to more effectively organize STEM (science, technology, engineering, and mathematics) teaching and learning around "big ideas" that run through science disciplines. Unfortunately, finding ways to teach big ideas effectively so they become useful as knowledge frameworks is a significant challenge. Deep structure modeling (DSM), the innovation advanced in this project, is designed to meet this challenge in the context of high school biology.

This project will focus on learning about model based reasoning in science, and will develop, implement, study, and refine a 6-week climate science module for high school students. The module will feature use of a web-based climate modeling application, and the project team will collect and analyze evidence of model-based reasoning about climate phenomena among students.

This project will focus on learning about model based reasoning in science, and will develop, implement, study, and refine a 6-week climate science module for high school students. The module will feature use of a web-based climate modeling application, and the project team will collect and analyze evidence of model-based reasoning about climate phenomena among students.

The Graphing Research on Inquiry with Data in Science (GRIDS) project will investigate strategies to improve middle school students' science learning by focusing on student ability to interpret and use graphs. GRIDS will undertake a comprehensive program to address the need for improved graph comprehension. The project will create, study, and disseminate technology-based assessments, technologies that aid graph interpretation, instructional designs, professional development, and learning materials.

The project will create opportunities for teachers to develop programming content knowledge and new understandings of the creative possibilities in computer science education, thereby increasing opportunities for students to develop conceptual and creative fluency with programming.

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.

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 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 project will develop and study a curriculum and app that support computational thinking (CT) in a high school biology unit. The project will engage students in rich data practices by gathering, manipulating, analyzing, simulating, and visualizing data of bioelectrical signals from neural sensors, and in so doing give the students opportunities to apply CT principles.

The project will provide the opportunity for upper elementary students to learn computer science and build strong collaboration practices. Leveraging the promise of virtual learning companions, the project will collect datasets of collaborative learning for computer science in diverse upper elementary school classrooms; design, develop, and iteratively refine its intelligent virtual learning companions; and generate research findings and evidence about how children collaborate in computer science learning and how best to support their collaboration with intelligent virtual learning companions.

This project builds on a line of work that has developed and studied the Model Based Educational Resource (MBER), a year-long curriculum for high school biology. The project will generate rigorous causal evidence on how this approach to biology teaching and learning can support student learning, and foundational information on how to support high school teachers in improving their teaching. It will also provide resources to expand and update MBER to reflect the changing high school science landscape by integrating Earth Science standards into the year long sequence.

This project will integrate Native Hawaiian cross-cultural practices to explore ways to help teachers know about and know how to connect resources of students' familiar worlds to their science teaching. This project will transform the ways teachers orient their teaching at the upper elementary and middle grades through professional development courses offered at the University of Hawaii at Manoa.

This project will examine the impact on mathematics learning of an initiative to provide kindergartners in an urban school district with personal tablet devices that include free, widely available digital mathematics resources. The research questions examine how teachers use table-based mathematics resources during instruction, how caregivers and children engage with table-based mathematics resources, and how the resources then relate to kindergartners mathematics learning.

This project is developing evidence about the efficacy of the Engineering is Elementary curriculum under ideal conditions by studying the student and teacher-level effects of implementation. The project seeks to determine the core elements of the curriculum that support successful use. The findings from this study have broad implications for how engineering design curricular can be developed and implemented at the elementary level.

This project will explore PK-2 teachers' content knowledge by investigating their understanding of the design and implementation of culturally relevant computer science learning activities for young children. The project team will design a replicable model of PK-2 teacher professional development to address the lack of research in early computer science education.

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 study aims to understand parents' perspectives on the educational impacts of COVID-19 by leveraging a nationally representative, longitudinal study, the Understanding America Study (UAS). The study will track educational experiences during the summer of 2020 and into the 2020-21 school year and analyze outcomes overall and for key demographic groups of interest.

This project will provide evidence on how school, classroom, teacher, and student factors shape elementary school science learning trajectories for English learners (ELs). The project will broaden ELs’ participation in STEM learning by investigating how individual, classroom, and school level situations such as instructional practices, learning environments, and characteristics of school personnel relate to EL elementary school science learning.

Teacher professional learning is a critical part of the mathematics education landscape. For decades, professional learning has been the primary strategy for developing the skills of the teaching workforce and changing how teachers interact with students in classrooms around academic content. Professional learning also can be expensive for districts, both financially and in terms of teacher time. Given these investments, most school leaders wish to spend their professional development dollars efficiently, making decisions about professional learning design that maximize teacher and student learning. However, despite more than two decades of rigorous research on professional learning programs, practitioners have little causal evidence on which professional learning design features work to accelerate teacher learning. This project seeks to identify features of teacher professional learning experiences that lead to better mathematics outcomes for both teachers and students.

There is a need for resources for teacher education programs to help pre-service teachers learn about equitable mathematics approaches to teaching and learning. This project will develop modules, resources, and tools for exploring how teachers' understanding of equity changes from their last year of the preparation program into their first year of teaching. The tools and resources can be shared with other teacher education programs.

There is a need for resources for teacher education programs to help pre-service teachers learn about equitable mathematics approaches to teaching and learning. This project will develop modules, resources, and tools for exploring how teachers' understanding of equity changes from their last year of the preparation program into their first year of teaching. The tools and resources can be shared with other teacher education programs.

There is a need for resources for teacher education programs to help pre-service teachers learn about equitable mathematics approaches to teaching and learning. This project will develop modules, resources, and tools for exploring how teachers' understanding of equity changes from their last year of the preparation program into their first year of teaching. The tools and resources can be shared with other teacher education programs.