Competences numeriques chez les futurs enseignants marocains en formation initiale : enjeux epistemologiques
Bibliographic record
Abstract
La présente étude tente d’examiner les compétences en usage des TIC chez les futurs enseignants marocains en formation initiale. Sur le plan méthodologique, une enquête a été effectuée auprès de 194 futurs enseignants de langues et de disciplines scientifiques au sein du Centre régional des métiers de l’éducation et de la formation de la région de l’Oriental au Maroc. L’analyse des données recueillies révèle un niveau de confort important dans les usages d’ordre technique, social et informationnel. Force est de constater aussi qu’un travail important en matière de formation reste à faire pour que les TIC soient exploitées par ces futurs enseignants à des fins épistémologiques.
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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 | 0.000 | 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 | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.006 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 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".