Community of inquiry as a theoretical framework to foster “epistemic engagement” and “cognitive presence” in online education
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Strong TP fosters higher levels of CP.
“Equally significant, CP was not only associated with course design and organization but also with integration, one of the highest phases of CP, confirming Shea and Bidjerano's ( 2009) observation that strong TP fosters higher levels of CP.”
From Exploring Relationships Between Undergraduate Students’ Perceived Community of Inquiry, Engagement, and Shared Metacognition in Asynchronous Online Courses (2026) · cites this paper as Shea and Bidjerano (2009)
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Self-citation
- Authors
- Shea, P., & Bidjerano, T.
- Affiliations
- State University of New York (US)
- Furman University (US)
- Corresponding author
- Shea, Peter
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2009-04
- Volume
- 52
- Issue
- 3
- Pages
- 543-553
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2137112538
- Cited by
- 641
- References
- 49
- Citations by year
- 2026: 24 · 2025: 19 · 2024: 44 · 2023: 53 · 2022: 70 · 2021: 46 · 2020: 41 · 2019: 34 · 2018: 33 · 2017: 30 · 2016: 55 · 2015: 39 · 2014: 32 · 2013: 27 · 2012: 35
- FWCI
- 85.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers & Education (publishedVersion)
- Topics
- Social Sciences › Education › Online and Blended Learning
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Keywords
- community of inquiry, cognitive presence, social presence, teaching presence, epistemic engagement, online learning, technology-mediated education, online instructors, scale validation, faculty development, distance education
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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