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Record W4221108189 · doi:10.24059/olj.v26i1.3023

Shared Metacognition in a Community of Inquiry

2022· article· en· W4221108189 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOnline Learning · 2022
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMetacognitionOperationalizationConstruct (python library)Community of inquiryPsychologyFacilitationCognitionMathematics educationComputer scienceEpistemology

Abstract

fetched live from OpenAlex

The article begins with a review of the shared metacognition construct and its function within the Community of Inquiry theoretical framework. The primary focus of the shared metacognition construct is the role of learners to take responsibility and control for monitoring and managing learning in a community of inquiry. Pragmatic challenges are explored through an analysis of recent research and a discussion of implementation issues. It is emphasized that shared metacognition is shaped by the teaching presence construct (planning, facilitation, and direction instruction) and its overlap with cognitive presence operationalized by the phases of the Practical Inquiry model (problem defining, exploration, integration, and resolution). The manuscript concludes with a discussion of the potential for future research associated with shared metacognition and the use of a quantitative shared metacognition questionnaire.

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.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.132
GPT teacher head0.445
Teacher spread0.313 · 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