Les croyances des futurs enseignants du secondaire au sujet de la compétence numérique des élèves
Bibliographic record
Abstract
Partant d’une controverse dans les écrits sur la compétence numérique des natifs du numérique, cette étude qualitative exploratoire examine les croyances des futurs enseignants du secondaire à l’égard de la compétence numérique des élèves. Des entrevues ont été menées auprès de 36 participants provenant de trois universités québécoises et traitées à partir d’une analyse thématique. Les résultats révèlent que ces futurs enseignants considèrent ladite compétence numérique en général faiblement développée par les élèves du secondaire dans sa triple dimension technologique, cognitive et éthique. Cette étude contribue, à l’instar d’autres recherches empiriques, à nuancer le discours d’évidence sur la compétence numérique des élèves et à enrichir la structuration d’une approche sociocritique du numérique en éducation.
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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 | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".