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Record W2994680396 · doi:10.18608/jla.2019.63.9

Knowledge Building Analytics to Explore Crossing Disciplinary and Grade-Level Boundaries

2019· article· en· W2994680396 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

VenueJournal of Learning Analytics · 2019
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCurriculumAgency (philosophy)DisciplineKnowledge buildingCoherence (philosophical gambling strategy)AnalyticsWork (physics)Mathematics educationKnowledge managementSociologyPedagogyPsychologyComputer scienceData scienceEngineering

Abstract

fetched live from OpenAlex

Sustained creative work with ideas, work that leads beyond expectations, underpins knowledge creating organizations. Knowledge Building pedagogy, with its 12 principles and associated technology, Knowledge Forum, aims to provide necessary support for this goal. This exploratory study aims to assess the extent to which elementary-school students within Knowledge Building communities are able to exceed curriculum expectations. We defined “criss-crossing topics” as an indicator of exceeding expectations, and examined whether students are able to think and theorize in an interdisciplinary way and, in doing so, exceed curriculum expectations. We also examined how such criss-crossing topics may help advance the community knowledge. Results show that, when given agency, elementary students are able to extend knowledge boundaries, bringing greater range and explanatory coherence to their work, resulting in advancing community knowledge and idea improvement.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.421
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.182
GPT teacher head0.454
Teacher spread0.273 · 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