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Autor/inn/enJärvelä, Sanna; Nguyen, Andy; Hadwin, Allyson
TitelHuman and Artificial Intelligence Collaboration for Socially Shared Regulation in Learning
QuelleIn: British Journal of Educational Technology, 54 (2023) 5, S.1057-1076 (20 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Järvelä, Sanna)
ORCID (Nguyen, Andy)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0007-1013
DOI10.1111/bjet.13325
SchlagwörterArtificial Intelligence; Cooperation; Learning Processes; Social Behavior; Cognitive Processes; Affordances
AbstractArtificial intelligence (AI) has generated a plethora of new opportunities, potential and challenges for understanding and supporting learning. In this paper, we position human and AI collaboration for socially shared regulation (SSRL) in learning. Particularly, this paper reflects on the intersection of human and AI collaboration in SSRL research, which presents an exciting prospect for advancing our understanding and support of learning regulation. Our aim is to operationalize this human-AI collaboration by introducing a novel trigger concept and a hybrid human-AI shared regulation in learning (HASRL) model. Through empirical examples that present AI affordances for SSRL research, we demonstrate how humans and AI can synergistically work together to improve learning regulation. We argue that the integration of human and AI strengths via hybrid intelligence is critical to unlocking a new era in learning sciences research. Our proposed frameworks present an opportunity for empirical evidence and innovative designs that articulate the potential for human-AI collaboration in facilitating effective SSRL in teaching and learning. (As Provided).
AnmerkungenWiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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