Motivation, engagement et satisfaction des besoins psychologiques en formation initiale à l’enseignement lors des premières vagues de COVID-19
Bibliographic record
Abstract
L'impact des cours en ligne sur la motivation, l'engagement dans les tudes et la satisfaction des besoins psychologiques lors des premires vagues de COVID-19 ont t examins partir d'un questionnaire rempli par un chantillon d'tudiants en formation initiale l'enseignement d'une universit francophone de la rgion de Montral (Canada) (n = 272). L'analyse des donnes rvle que les participants ont t moins motivs et moins engags et qu'ils sont plus difficilement parvenus satisfaire leurs besoins psychologiques dans les cours en ligne que dans leur habituelle formation en prsentiel. Ces rsultats sont discuts dans la perspective de la littrature existante sur le sujet et des futurs dveloppements de la formation en ligne.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".