La sélection d’idées prometteuses et l’émergence d’un questionnement authentique dans l’élaboration du discours collectif d’élèves du primaire | The selection of promising ideas and the emergence of genuine questioning
Bibliographic record
Abstract
Cette étude se déroule dans le contexte de l’initiative l’École éloignée en réseau (ÉÉR), mise sur pied depuis 2002 afin d’enrichir l’environnement d’apprentissage des petites écoles rurales au moyen, entre autres, du Knowledge Forum (KF) comme soutien au discours écrit collectif des élèves. Notre attention se porte sur une nouvelle fonction du KF, soit les Idées prometteuses (IPROM). Cette étude s’intéresse principalement aux manifestations du processus de coélaboration de connaissances pendant l’utilisation de IPROM dans des classes du primaire au Québec, plus particulièrement de l’élaboration de questions par les élèves dans le discours collectif. À la lumière de nos résultats, nous proposons certaines implications pédagogiques à mettre en place pour favoriser le processus de coélaboration de connaissances à l’aide de cet outil. This study takes places in the context of the Remote Networked School (RNS) initiative, set up in 2002 to improve the learning environment of small rural schools using, among other tools, the Knowledge Forum (KF) as a support for students’ collective written discourse. We focused on a new feature of KF, the promising idea tool (iPROM). This study is primarily interested in the manifestations of the knowledge co-elaboration process during the use of iPROM in elementary school classrooms in Quebec, focusing particularly on the elaborations of questions by students in the collective discourse. In the light of our results, we submit certain learning implications to be put in place to facilitate the knowledge co-elaboration process using this tool.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".