L’interactivité dans l’apprentissage : la perspective des sciences cognitives
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.
Bibliographic record
Abstract
L'article souligne l'importance de l'interactivité dans l'apprentissage en adoptant la perspective des sciences cognitives. Il traite des divers types de connaissances visées par un système d'apprentissage et définit le concept de compétence. Il adopte le point de vue des neurosciences et de la psychologie cognitive pour expliquer le processus de l'acquisition de nouvelles connaissances et de nouvelles compétences. L'apprentissage est conçu dans le sens de la construction de nouveaux réseaux de neurones à partir de ceux que possède déjà l'apprenant. L'article insiste enfin sur l'importance de l'interactivité lors de l'acquisition de nouvelles connaissances et de nouvelles compétences et souligne la pertinence de l'utilisation des systèmes multimédias interactifs comme support à l'apprentissage.
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 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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.006 | 0.031 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it