Generative AI and the community of inquiry framework

This scoping review synthesizes empirical studies examining how generative AI is associated with teaching, cognitive, and social presence within the Community of Inquiry (CoI) framework. Although generative AI has rapidly entered educational practice, its impact on teaching, cognitive, and social presence remains conceptually fragmented. To address this gap, we systematically searched for eligible literature following PRISMA guidelines and reviewed 21 peer-reviewed empirical studies published after the emergence of large language model-based AI systems (between November 2022 and July 2026) to identify research trends, AI roles in teaching and learning, and patterns of presence activation related to learning experiences. Findings indicate that first, generative AI has evolved beyond conversational agents to include pedagogical agents, AI-generated instructors, collaborative cognitive tools, and AI-supported learning environments, while teaching presence remains comparatively underexplored as an independent construct. Second, the distribution of presence dimensions is uneven: cognitive presence was most frequently associated with AI-supported exploration and integration processes, whereas resolution and independent examinations of teaching presence remained comparatively limited. Third, the reviewed studies suggested that presence-related outcomes varied by instructional approaches. Discussion and task-based activity were more often associated with reported indicators of cognitive presence, whereas pedagogical agents and socially expressive AI designs more frequently supported perceived social presence. The findings suggest that generative AI should not be regarded as a universal solution for strengthening the CoI framework. Rather, its educational value depends on how it is pedagogically configured within specific instructional contexts. The review contributes to a more nuanced understanding of AI-mediated learning by positioning generative AI as a design-sensitive pedagogical mediator and identifying directions for future theoretical and empirical research.

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Publication Details

Journal
Online Learning
Published
2026-11-06
DOI
https://doi.org/10.24059/olj.v30isi2.5880
Primary Topic
Online and Blended Learning
Type
article
Field-Weighted Citation Impact
0.00

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article

Generative AI and the community of inquiry framework

Min Young Doo, Yeonjeong Park
1 links
Online Learning
Online and Blended Learning
article

Generative AI and the community of inquiry framework

Min Young Doo, Yeonjeong Park
article en

Abstract

This scoping review synthesizes empirical studies examining how generative AI is associated with teaching, cognitive, and social presence within the Community of Inquiry (CoI) framework. Although generative AI has rapidly entered educational practice, its impact on teaching, cognitive, and social presence remains conceptually fragmented. To address this gap, we systematically searched for eligible literature following PRISMA guidelines and reviewed 21 peer-reviewed empirical studies published after the emergence of large language model-based AI systems (between November 2022 and July 2026) to identify research trends, AI roles in teaching and learning, and patterns of presence activation related to learning experiences. Findings indicate that first, generative AI has evolved beyond conversational agents to include pedagogical agents, AI-generated instructors, collaborative cognitive tools, and AI-supported learning environments, while teaching presence remains comparatively underexplored as an independent construct. Second, the distribution of presence dimensions is uneven: cognitive presence was most frequently associated with AI-supported exploration and integration processes, whereas resolution and independent examinations of teaching presence remained comparatively limited. Third, the reviewed studies suggested that presence-related outcomes varied by instructional approaches. Discussion and task-based activity were more often associated with reported indicators of cognitive presence, whereas pedagogical agents and socially expressive AI designs more frequently supported perceived social presence. The findings suggest that generative AI should not be regarded as a universal solution for strengthening the CoI framework. Rather, its educational value depends on how it is pedagogically configured within specific instructional contexts. The review contributes to a more nuanced understanding of AI-mediated learning by positioning generative AI as a design-sensitive pedagogical mediator and identifying directions for future theoretical and empirical research.

Online LearningVol. 30(SI2)
Kangwon National University (KR), Jeonbuk National University (KR)
Kangwon National University, Ministry of Education, National Research Foundation of Korea
Quality education
Openalex Percentile: Top 10%
Online and Blended Learning
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