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Developing Neural and Behavioral Measures to Predict Long-Term STEM Learning Outcomes from a High School Spatial Learning Course (Collaborative Research: Green)
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This project uses neural and behavioral measures of learning as a basis for making improvements to an immersive high school course that trains students in flexible spatial cognition and data analysis. Tracking…
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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.…
Taking Games to School: Exploratory Study to Support Game-based Teaching and Learning In High-School Science Classes
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This project is building a set of software tools, including a tool for annotating screen recordings of activities in games, a teacher data dashboard for information about students' in-game learning, and tools to…