Quelles recherches sur la communication en ligne en éducation ? Premier regard sur la dimension Communication de la compétence numérique durant la pandémie de COVID-19
Bibliographic record
Abstract
Le présent chapitre aborde la dimension Communication de la compétence numérique dans les organisations éducatives. Il présente le résultat d’une revue de la littérature effectuée en consultant six bases de données ou moteurs de recherche au printemps 2022. L’objectif était de brosser un portrait de la manière dont la recherche s’est intéressée à la communication impliquant des technologies numériques et aux phénomènes ou évolutions observés pendant la pandémie de COVID-19. L’étude fait ressortir que la communication a constitué un réel défi lors du passage à la formation à distance, tant pour les personnes enseignantes que pour les personnes apprenantes. Pour autant, les recherches abordent peu le sujet en termes de compétence numérique.
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 | 0.014 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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; both teacher heads agree on what is shown here.
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".