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The Role of Learner in an Online Community of Inquiry

2010· book-chapter· en· W260146055 on OpenAlexaff
Martha Cleveland‐Innes, D. Randy Garrison

Bibliographic record

VenueIGI Global eBooks · 2010
Typebook-chapter
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsUniversity of CalgaryAthabasca University
Fundersnot available
KeywordsFacilitationPsychologyCommunity of inquiryPoint (geometry)Psychological interventionDistance educationOnline learningOnline courseMedical educationPedagogyMathematics educationComputer scienceMultimediaMedicine

Abstract

fetched live from OpenAlex

Students experiencing an online educational community for the first time experience adjustment in the role of learner. Findings from a study of adjustment to online learning from the instructor’s point of view validate five main areas of adjustment identified in previous research: technology, instructor role, modes of interaction, self-identity and course design. Using a confirmatory research model, instructors from two open and distance institutions were interviewed. Data confirmed that instructors also perceive adjustment in the five areas of online experience identified by students. In addition, student adjustment in these five areas can be understood in light of core dimensions of learner role requirements in an online community of inquiry (Garrison, Anderson, and Archer, 2000). Instructor comments provide understanding of the experience of online learners, including the challenges, interventions and resolutions that present themselves as unique incidents. Recommendations for the support and facilitation of adjustment are made. Funding for this research was received from the Athabasca University Mission Critical Research Fund.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.841
Threshold uncertainty score0.882

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.052
GPT teacher head0.338
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2010
Admission routes1
Has abstractyes

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