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TPACK in the age of ChatGPT and Generative AI

Bibliographic Data

ID23318355
AuthorsP Mishra (0000-0002-9300-4996, Arizona State University, corresponding author), M Warr (0000-0002-0985-4067, New Mexico State University), Rezwana Islam (0000-0001-6749-2837, Arizona State University)
Year2023
Volume39
Issue4
Pages235-251
Publication date2023-10-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Digital Learning in Teacher Education (JOURNAL)
Journal identifiersISSN: 2153-2974 • E-ISSN: 2332-7383
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/21532974.2023.2247480
OpenAlexW4386069852
LanguageEN
Citations received110
References cited21

The educational impact of Generative AI (GenAI) technologies, such as ChatGPT, has received significant attention. We use the TPACK framework to discuss the types of knowledge teachers require to effectively use GenAI tools. We highlight the qualities of GenAI that make it like other digital technologies (they are protean, opaque, and unstable) as well as qualities that make it revolutionary (namely, they are generative and social). We describe how these traits affect specific knowledge domains (TK, TPK, TCK, XK, and TPACK) and explore implications for educators. Finally, we argue for a more expansive description of Contextual Knowledge (XK), going beyond the immediate context to include considerations of how GenAI will change individuals, society and, through that, the broader educational context.

Affect (linguistics) · Context (archaeology) · Context effect · Expansive · Generative grammar · Linguistics · Sociology · Artificial Intelligence · Communication · Computer Science · Explainable Artificial Intelligence (XAI · History · Intelligent Tutoring Systems and Adaptive Learning · Online Learning and Analytics · Psychology

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Unique citing works110
Citations per year36,67
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 107

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