Pédagotrucs n°19 : Stratégies favorisant l'organisation des connaissances
Bibliographic record
Abstract
Cgep de Rimouski On ne retient vraiment que ce qui s'intgre dans l'ensemble de ses connaissances. Monique Corriveau . .< STRATGIES FAVORISANT L'ORGANISATION DES CONNAISSANCES Bon retour tous et toutes.H oui! Encore une fois votre Pdagotrucs sera prsent au cours de lanne 2003-2004.Dans ce numro, pour dbuter lanne scolaire, nous vous proposons quelques stratgies susceptibles de favoriser lorganisation des connaissances dclaratives.LORGANISATION des connaissances est une tche qui revient dabord lenseignante et lenseignant.Il possde lensemble de linformation pertinente et en a une vue globale.Lorganisation des connaissances consiste prciser les liens qui unissent les lments dinformation les uns aux autres.Cela peut se faire par diffrents moyens.Lorganisation facilite galement la comprhension et le rappel de linformation en multipliant les voies daccs la mmoire long terme 2 .Elle permet, en plus, de traiter, dans la mmoire de travail, plusieurs lments dinformation la fois, regroups dans un ensemble signifiant.Enfin, elle favorise le tran sfert des apprentissages, celui-ci ncessitant lutilisation de nombreuses connaissances.Voici donc quelques mthodes denseignement pour dvelopper cette habilet cognitive.et une excellente anne scolaire.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.116 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".