L’utilisation de la baladodiffusion en enseignement universitaire : une revue de la portée
Bibliographic record
Abstract
Cette étude de la portée, guidée par les modèles d’Arksey et O’Malley et de JBI, a permis l’exploration des connaissances relatives à l’utilisation de la baladodiffusion en milieu universitaire, notamment ses avantages et défis pédagogiques. Les résultats issus d’études provenant de trois continents révèlent que celle-ci permet d’améliorer la motivation et la compréhension des étudiants et étudiantes en éducation, médecine et travail social. Certains défis liés à sa qualité de réalisation et aux barrières technologiques ont té relevés, et l’importance de sa cohérence avec les objectifs d’apprentissage précisée. De futures recherches sont recommandées quant à la rétention et à la performance des étudiants et étudiantes, à long terme.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".