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Creators/Authors contains: "Tissenbaum, Michael"

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  1. ; ; ; ; ; ; ; ; ; ; et al (, AI Magazine)
    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. 
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  2. ; ; ; ; ; (, International Society for the Learning Science Conference)
    Classroom orchestration is a multifaceted pedagogical challenge, requiring teachers to simultaneously manage activities across multiple social levels and under various constraints. Teacher dashboards are commonly developed tools to aid orchestration; however, many fall short in real-time classrooms. To address this impediment, we used participatory design sessions with teachers to better understand their needs, based on which, we plan to build a dynamic dashboard with real-time actionable metrics. 
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