Projects

This project will design, develop, and examine the learning outcomes of a new curriculum unit for biology that embodies the conceptual framework of the Next Generation Science Standards (NGSS). The curriculum materials to be developed by this project will focus on two areas of study that are central to the life sciences: genetics and the processes of evolution by natural selection.

This project will design, develop, and examine the learning outcomes of a new curriculum unit for biology that embodies the conceptual framework of the Next Generation Science Standards (NGSS). The curriculum materials to be developed by this project will focus on two areas of study that are central to the life sciences: genetics and the processes of evolution by natural selection.

This project is developing, validating, and evaluating computer modeling-based formative assessments to improve student learning in chemistry. Activities include developing a series of computer models related to key topics in high school chemistry, developing questions to probe student understanding of matter and energy, identifying teaching and learning resources appropriate for different levels of student conceptual understanding, and developing professional development resources on integrating formative assessments into high school chemistry courses.

This project will engage students and teachers in rich, real-world math tasks; will support future teachers and mathematics educators in adapting, designing, and implementing similar tasks; and will provide a basis for further research on the most effective ways to design and implement real-world tasks in the mathematics classroom.

This project will engage students and teachers in rich, real-world math tasks; will support future teachers and mathematics educators in adapting, designing, and implementing similar tasks; and will provide a basis for further research on the most effective ways to design and implement real-world tasks in the mathematics classroom.

This project provides visionary leadership to the education community by (a) identifying and analyzing the needs and opportunities for future STEM curriculum development and (b) recommending policy positions and actions by funding agencies and STEM educators regarding the development and implementation of STEM school curricula.

This project is working to develop, implement, and research the introduction of data experiences and practices into a series of interdisciplinary, middle school project-based learning modules. The project examines how interdisciplinary data education can provide opportunities for students to take more control of their own learning and develop positive identities related to data, through integration with social studies and science topics. Curriculum modules and teaching resources produced by the project serve as guides for subsequent efforts at integrating data science concepts into teaching and learning in various subject areas.

This five-year project investigates how to provide continuous assessment and feedback to guide students' understanding during science inquiry-learning experiences, as well as detailed guidance to teachers and administrators through a technology-enhanced system. The assessment system integrates validated automated scorings for students' written responses to open-ended assessment items into the "Web-based Inquiry Science Environment" (WISE) program.

In COVID Connects Us, the project team investigates the challenges of learning how to support justice-centered ambitious science teaching (JuST). The project team will partner with networks of secondary science teachers as they first implement a common unit aimed at engaging youth in science and engineering practices in ways that are culturally sustaining, focused on explanation-construction and intentionally anti-oppressive. The teachers will then use their shared experiences to revise future instruction in ways that are justice-centered and that engage students in the ways research suggests is important for their learning.

This project will study a successful, ambitious mathematics reform effort in high-needs secondary schools. The goal is to develop resources and tools to support other high-needs schools and districts in transforming and sustaining  their mathematics programs. The model focuses on the resources required for change and the aspects of the organization that support or constrain change in mathematics teaching and learning.

This RAPID project is a cross-national comparative study of U.S. and Chinese instructional support systems, building from earlier data about mathematics teaching and learning in large urban school districts of both the United States and the People's Republic of China. The study uses quantitative methods to compare and contrast the effectiveness of supports (e.g., professional development, teacher networks, school leadership) in improving teachers' instructional practices and student achievement using comparable instrumentation.

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 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 Culturally Responsive Indigenous Science project seeks to advance this knowledge base through research and by catalyzing new approaches to Indigenous science, technology, engineering, and mathematics (ISTEM) learning. Using an ISTEM focused model, the project will develop, test, and implement a culturally responsive land-based curriculum that integrates Western science, multimodal technologies and digital tools, and Native American tribal knowledge, cultures and languages to investigate and address local environmental science and sustainability concerns.

This project will provide a field-based science and mathematics teacher education program that supports teaching focused on students’ affective development through culturally responsive practices. The project's teacher education program takes place over a two-year period and models how culturally responsive and affective instruction can occur in the STEM classroom to engage students.

This project focuses on the challenge of using assessment of relevant STEM content to improve K-12 teaching and learning. CLEAR takes advantage of new technologies and research findings to investigate ways that science assessments can both capture and contribute to cumulative, integrated learning of standards-based concepts in middle school courses. The project will research new forms of assessment that document students' accumulation of knowledge and also serve as learning events.

Through integration of research and education, this project is providing high resolution data on the spatial distribution of the thermal state of permafrost in Alaska, improving the general knowledge of Earth's climatic patterns, bringing science to remote Alaskan villages, and providing an opportunity for younger generations to take part in understanding Earth's climatic and hydrologic systems.

The Data Games project has developed software and curriculum materials in which data generated by students playing computer games form the raw material for mathematics classroom activities. Students play a short video game, analyze the game data, develop improved strategies, and test their strategies in another round of the game.

This project is developing software and curriculum materials in which data generated by students playing computer games form the raw material for mathematics classroom activities. Students play a short video game, analyze the game data, conjecture improved strategies, and test their strategies in another round of the game.

This project will develop an integrated, justice-oriented curriculum and a digital platform for teaching secondary students about data science in science and social studies classrooms. The platform will help students learn about data science using real-world data sets and problems. This interdisciplinary project will also help students meaningfully analyze real-world data sets, interpret social phenomena, and engage in social change.

This project will address the need for engineering resources by applying an innovative pedagogy called Imaginative Education (IE) to create middle school engineering curricula. In IE, developmentally appropriate narratives are used to design learning environments that help learners engage with content and organize their knowledge productively. This project will combine IE with transmedia storytelling.

This project will address the need for engineering resources by applying an innovative pedagogy called Imaginative Education (IE) to create middle school engineering curricula. In IE, developmentally appropriate narratives are used to design learning environments that help learners engage with content and organize their knowledge productively. This project will combine IE with transmedia storytelling.

This project investigates how vignette illustrations minimize the impact of limited English proficiency on student performance in science tests. Different analyses will determine whether and how ELL and non-ELL students differ significantly on the ways they use vignettes to make sense of items; whether the use of vignettes reduces test-score differences due to language factors between ELL and non-ELL students; and whether the level of distance of the items moderates the effectiveness of vignette-illustrated items.

The project will establish a sustained community of practice for high school teachers skilled in the VisChem Approach and a group of new teaching and research scholars with expertise in building conceptual understanding through the effective use of visualization. The project will help students move from describing phenomena to explaining their causes from a molecular-level perspectives (e.g., carbon dioxide in climate change, DNA changes in genetically modified organisms).