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Record W4380324628 · doi:10.30557/qw000064

Student reflections on the integration of Knowledge Forum as ‘equipment’ for knowledge building practice

2023· article· en· W4380324628 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueQwerty · 2023
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversity of Toronto
FundersUniversity of TorontoUniversity of Manchester
KeywordsDiversity (politics)PerceptionCommunity of practiceKnowledge buildingStudent engagementPedagogyDigital literacyPsychologyMathematics educationSociologyKnowledge managementComputer science

Abstract

fetched live from OpenAlex

This study investigates the digital, media and information literacy (DMIL) practices that student developed through engagement with Knowledge Forum (KF), a platform designed to facilitate knowledge building dialogues. Participants included 73 students enrolled in a DMIL course in a University in the UK. The dataset comprised reflective essays submitted by students, analyzed thematically to examine perceptions and patterns of engagement with KF. Findings show that students appreciated the mesh structure of KF views, andhow it facilitated idea diversity. Findings also show that students demonstrated higher levels of community discourse around design ideas, particularly in comparison with previous course iterations. Evidence of how students came to understand knowledge building principles through the way they integrated KF into their practice is discussed.

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.841
Threshold uncertainty score0.544

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
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 integrity0.0000.000
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 head0.209
GPT teacher head0.557
Teacher spread0.348 · 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