D’un outil d’awareness à un outil d’encadrement de l’apprentissage
Bibliographic record
Abstract
Resume Dans cet article, nous analyserons l'opinion d'apprenants engages dans une demarche collaborative a distance au sujet de leur utilisation d'un outil de suivi de l'apprentis-sage. Apres une presentation de la problematique et une description du contexte de la formation, nous detaillerons la methodologie de recherche que nous avons mise en oeuvre pour recueillir et analyser l'opinion des apprenants au sujet de cet outil. Notre etude montre que les etudiants estiment que l'outil de suivi est pertinent pour les informer de l'avancement des tâches et leur donner une visibilite sur leurs activites. Les etudiants le considerent comme moins efficace pour faciliter leur progression, montrer l'enga-gement des partenaires et reguler leur travail d'equipe. L'analyse du lien entre l'usage percu et l'utilisation reelle est interessante, car elle laisse apparaitre que plus les etudiants ont frequemment fait appel a l'outil, plus ils estiment a posteriori qu'il est en mesure de faciliter la pro-gression du groupe et d'aider a la regulation des activites collaboratives. Abstract In this article, we will analyze learners' opinions
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".