Mon ami Google : une étude des pratiques des futurs enseignants du Québec en recherche d’information | My friend Google: A study on the information seeking process of Quebec’s pre-service teachers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
While Quebec’s students mainly use Web search engines like Google to find information for their studies, teachers are tasked with giving them the proper training to do it efficiently. But are future teachers well prepared to accomplish their mission? This study analyzes the information seeking process used by Quebec’s pre-service teachers to find information on the Web. Results show that a majority of them are novice information searchers; they rarely plan ahead for their Web searching, they use basic search strategies, and scarcely diversify their searching tools. Results are discussed and recommendations are suggested to improve the information seeking process taught to pre-service teachers.Alors que les élèves du Québec cherchent prioritairement de l’information sur des moteurs de recherche comme Google, il revient aux enseignants de les former à le faire efficacement. Mais la relève est-elle bien préparée pour accomplir cette mission? Cette étude vise à décrire et analyser les pratiques déclarées et effectives de futurs enseignants québécois en recherche d’information sur le Web. Les résultats démontrent qu’ils emploient principalement un mode d’action novice : peu ou pas de planification, stratégies de recherche basiques et faible diversification des outils. Une discussion critique des résultats et des recommandations en formation initiale viennent clore cet article.
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.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.007 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it