From learning optimization to learner flourishing: Reimagining AI in Education at the Institute for Student‐AI Teaming (iSAT)
Year: 2024
Type: article
Abstract: 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.
Source: AI Magazine
DOI: 10.1002/aaai.12158
Authors: 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
Institutions: University of Colorado Boulder, University of Colorado System, University of California, Berkeley, University of California, Santa Cruz, Arizona State University, Colorado State University, University of Wisconsin–Madison, Brandeis University, University of Illinois Urbana-Champaign, Worcester Polytechnic Institute
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
Estimated APC paid: $2,400
OpenAlex ID: W4392057216
