Identifier les attitudes des étudiants en géographie après leurs études secondaires
Bibliographic record
Abstract
Ce travail expose les résultats d’une étude réalisée dans le but d’analyser la démarche d’apprentissage d’un groupe d’étudiants de premier cycle de géographie. Seront traitées ici les démarches d’apprentissage qu’ils adoptent et la façon dont évolue leur niveau de confiance en soi après un an d’enseignement supérieur. Les étudiants étaient confrontés à un programme visant au développement des capacités dans le cadre de la géographie, qui mettait l’accent sur une démarche d’apprentissage en profondeur. Les résultats montrent que, bien que leur niveau de confiance en leur capacité d’étudier et d’apprendre ait augmenté, leur démarche d’apprentissage est devenue de plus en plus instrumentale. This paper shows the results of a study carried out in order to analyse the learning approach in geography of cohorts of students on entry to a geography degree. After one year of higher education, student learning approaches and their degree of confidence are examined. A program aimed at the development of the learning capacities based on a deep learning approach was proposed to students. The results indicate that although their degrees of confidence in their capacity to study increased, their learning approaches became increasingly instrumental.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".