Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Artificial Intelligence and Communities of Inquiry

Reimagining Educational Experiences

Bibliographic Data

ID21729281
AuthorsStefan Stenbom (0000-0002-8200-6021), D Randy Garrison (0000-0002-8259-5671)
Year2026
Volume27
Issue2
Pages114-131
Publication date2026-05-06
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe International Review of Research in Open and Distributed Learning (JOURNAL)
Journal identifiersISSN: 1492-3831 • E-ISSN: 1492-3831
PublisherAthabasca University Press (PUBLISHER • CA)
DOI10.19173/irrodl.v27i2.9314
OpenAlexW7160538027
LanguageEN
Citations received1

Generative artificial intelligence (AI) is transforming education, creating opportunities for personalization, efficiency, and engagement while also raising concerns about misinformation, overreliance, and the erosion of critical thinking. To navigate these tensions, this article argues for the necessity of a coherent theoretical framework to guide the educational adoption of AI. Drawing on the Community of Inquiry (CoI) framework and its construct of shared metacognition, we outline how collaborative inquiry can integrate AI in ways that preserve human agency and sustain deep and meaningful learning. We examine the potential for AI to assume multiple roles within a community of inquiry—supporting instructional design, guiding learners as an independent resource, assisting instructors through analytics, participating in discussions, and sustaining dialogical partnerships with students. While these roles highlight the capacity of AI to enrich learning communities, they also underscore risks of passivity, diminished authenticity, and overdependence if reflective inquiry is bypassed. We argue that shared metacognition—collective monitoring and management of thinking—offers a responsible pathway for educators and learners to engage critically with AI-generated outputs, ensuring that technology strengthens rather than supplants collaborative inquiry. In conclusion, we contend that AI can contribute to worthwhile educational experiences only when framed within a coherent conceptual perspective that emphasizes skeptical engagement, collaborative reflection, and the preservation of human purpose. In this regard, the CoI framework has considerable potential to provide understanding and guidance in the adoption of AI tools

Collaborative learning · Computer-mediated communication · Dialogical self · Educational technology · Experiential learning · Skepticism · Digital Education and Society · Educational Strategies and Epistemologies · Innovative Teaching and Learning Methods

  • A community of inquiry perspective on human–AI co-facilitation within micro-blended learning

    Open Access•Zilong Pan, Zilu Jiang et al.•Computers & Education•2026

Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae