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This project will design opportunities for mathematics and science teachers to coordinate their instruction to support a more coherent approach to teaching statistical model-based inference in middle school. It…
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This project focuses on fostering equitable and inclusive STEM contexts with attention to documenting and reducing adolescents' experiences of harassment, bias, prejudice and stereotyping. This research will…
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As a result of the COVID-19 pandemic, schools across much of the U.S. have been closed since mid-March of 2020 and many students have been attempting to continue their education away from schools. Student…
Evolving Minds: Promoting Causal-Explanatory Teaching and Learning of Biological Evolution in Elementary School
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Adopting a teaching and curricular approach that will be novel in its integration of custom explanatory storybook materials with hands-on investigations, this project seeks to promote third grade students'…
Reaching Across the Hallway: An Interdisciplinary Approach to Teaching Computer Science in Rural Schools
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This project will develop, test, and refine a "train-the-trainer" professional development model for rural teacher-leaders. The project goal is to design and develop a professional development model that…
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This project will collect and curate digital stories of diverse mathematicians sharing stories of their learning within and beyond schools. These short videos will become part of a more extensive digital…
Developing a Modeling Orientation to Science: Teaching and Learning Variability and Change in Ecosystems (Collaborative Research: Peake)
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This project addresses the need to make science relevant for school students and to support student interpretation of large data sets by leveraging citizen science data about ecology and developing instruction…
Developing a Modeling Orientation to Science: Teaching and Learning Variability and Change in Ecosystems (Collaborative Research: Lehrer)
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This project addresses the need to make science relevant for school students and to support student interpretation of large data sets by leveraging citizen science data about ecology and developing instruction…