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Strengthening Human Epistemic Agency in the Symbiotic Learning Partnership With Generative Artificial Intelligence

Bibliographic Data

ID9733686
AuthorsJiun-Yu Wu (0000-0002-3160-9658, Southern Methodist University, Dallas, TX), Yuan‐hsuan Lee (0000-0001-6196-4848, University of North Texas, Denton, TX, corresponding author), Ching Sing Chai (0000-0002-6298-4813, The Chinese University of Hong Kong, Hong Kong), Chia-Chun Tsai (0000-0001-7744-9971, National Taiwan Normal University, Taipei)
Year2025
Volume54
Issue6
Pages358-368
Publication date2025-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducational Researcher (JOURNAL)
Journal identifiersISSN: 0013-189X • E-ISSN: 1935-102X
PublisherAmerican Educational Research Association (AERA) (PUBLISHER)
DOI10.3102/0013189x251333628
OpenAlexW4409965161
LanguageEN
Citations received18
References cited46

This conceptual article explores shared epistemic agency between humans and generative artificial intelligence (GenAI), emphasizing the need to foster active human epistemic agency through adaptive epistemic stances. We propose a framework incorporating epistemic stances in interactions with GenAI, drawing on Tsai’s (2004) work to explore the reinforcing relationship between them. The article outlines how learners’ epistemic stances affect their interaction with GenAI and suggests strategies for fostering critical engagement and inquiry. We assert that learners with adaptive epistemic stances benefit more from GenAI and that continuous interaction with GenAI can reshape learners’ epistemic development. This article aims to promote a symbiotic relationship where both human and machine contributions are valued, ultimately enhancing the overall learning experience through shared epistemic agency

Agency (philosophy · Cognitive science · General partnership · Generative grammar · Political science · Social science · Sociology · Artificial Intelligence · Computer Science · Education and Critical Thinking Development · Educational Strategies and Epistemologies · Innovative Teaching and Learning Methods · Psychology

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Unique citing works18
Citations per year18
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 17

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