Enseignement-apprentissage des compétences socio-émotionnelles aux él`eves avec déficience visuelle : de la théorie à la pratique
Bibliographic record
Abstract
Socio-emotional skills (SESs) are primarily acquired implicitly through observation and imitation in social interactions. Students with visual impairment (VI) are likely to face challenges in this area, which can affect their relationships with peers, increase their dependence on adults, and limit their social participation. Nevertheless, students with VI have the potential to learn SESs and develop compensatory strategies. This theoretical article therefore has three objectives. First, from a theoretical perspective, it explores the specific link between SESs and VI. Second, it proposes a general theory of teaching-learning of SESs, drawing on the vygotskian approach towards special education. Third, from a practical perspective, it presents assessment tools and teaching-learning strategies for SESs, aimed at supporting special education teachers and educators working in this field.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".