Sidney K. D'Mello, Quentin Biddy, Thomas Breideband, Jeffrey Bush, Michael Chang, Arturo Cortez, Jeffrey Flanigan, Peter W. Foltz, Jamie C. Gorman, Leanne Hirshfield, Mon-Lin Monica Ko, Nikhil Krishnaswamy, Rachel Lieber, James Martin, Martha Palmer, William R. Penuel, Thomas Philip, Sadhana Puntambekar, James Pustejovsky, Jason G. Reitman, Tamara Sumner, Michael Tissenbaum, Lyn Walker, Jacob Whitehill
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From learning optimization to learner flourishing: Reimagining AI in Education at the Institute for Student-AI Teaming (iSAT)
The Institute for Student-AI Teaming (iSAT) addresses the foundational question: how to promote deep conceptual learning via rich socio-collaborative learning experiences for all students?—a question that is ripe for AI-based facilitation and has the potential to transform classrooms. We advance research in speech, computer vision, human-agent teaming, computer-supported collaborative learning, expansive co-design, and the science of broadening participation to design and study next generation AI technologies (called AI Partners) embedded in student collaborative learning teams in coordination with teachers. Our institute ascribes to theoretical perspectives that aim to create a normative environment of widespread engagement through responsible design of technology, curriculum, and pedagogy in partnership with K–12 educators, racially diverse students, parents, and other community members.
期刊介绍:
AI Magazine publishes original articles that are reasonably self-contained and aimed at a broad spectrum of the AI community. Technical content should be kept to a minimum. In general, the magazine does not publish articles that have been published elsewhere in whole or in part. The magazine welcomes the contribution of articles on the theory and practice of AI as well as general survey articles, tutorial articles on timely topics, conference or symposia or workshop reports, and timely columns on topics of interest to AI scientists.