Motivation à apprendre et volition à l’adolescence : développement et étude de la validité d’un nouvel inventaire
Bibliographic record
Abstract
Cet article présente le développement d’un nouvel instrument d’évaluation des facettes de la motivation scolaire à l’adolescence : l’Inventaire de motivation et volition scolaires. Cet instrument comporte la particularité d’intégrer des facettes de la motivation à apprendre fondées sur la théorie de l’autodétermination (Ryan & Deci, 2000) ainsi que des aspects de la volition (procrastination et stratégies d’autorégulation de la motivation). Deux études conduites auprès de 166 et 661 lycéens francophones âgés de 15 à 19 ans dans le canton de Genève, en Suisse, sont présentées afin d’évaluer la validité de l’Inventaire. Ces études soutiennent tant la validité interne (analyses dimensionnelles, estimation de la cohérence interne et lien avec la tendance à la désirabilité sociale) que la validité externe (réseau nomologique) de l’instrument. L’Inventaire de motivation et volition scolaires vise à être utile en tant qu’outil d’évaluation par les enseignants et en tant qu’instrument de recherche sur les questions de motivation scolaire.
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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 | 0.016 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".