Latest News
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When Should AI Help? Insights from CosmoAgent’s Classroom Deployment
Authors: Siyuan Guo and Gautam Biswas CoSMoAgent is embedded in the Collaborative Computational STEM (C2STEM) learning environment, where students use block-based programming to model realworld scenarios. They connect scientific concepts with computational constructs to model scientific processes. Although this approach supports science learning through construction, students often struggle to implement these constructs computationally to simulate…
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Research Hub Spotlight: A Growing Vision for AI in STEM and Science Education
A remarkable thread connects three recent volumes co edited by Xiaoming Zhai and his collaborators: a commitment to understanding how artificial intelligence can transform STEM learning and how it can be implemented responsibly, ethically, and in ways that empower both educators and students. Uses of Artificial Intelligence in STEM Education (edited by Xiaoming Zhai and Joseph Krajcik) provides…
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Designing AI-Supported Tools with and for Teachers
Effective AI tools for education not only need to work technically but also need to fit in the realities of classrooms. Involving teachers in design brings essential knowledge about students, instruction, and classroom practice into decisions about how AI should support teaching and learning. This was evident in recent co-design activities across two IES-funded efforts: the GENIUS Center and AutoSPIN project, where science teachers worked alongside researchers and…