Gender Differences in Inquiry-Based Learning: An Exploration of Information Seeking Behaviour of Middle School Students
Bibliographic record
Abstract
This in progress research presents empirical findings on gender differences during an inquiry- based learning history project at the middle school level. Weekly surveys, demographic surveys and exit surveys designed to solicit affective, cognitive and physical responses from 13-14 year old students were conducted. Overall the results show that gender analysis is essential to understanding how preteens seek information. Cette recherche en cours présente des résultats empiriques sur les différences entre les sexes au cours d'un projet d'apprentissage de l’histoire par investigation au niveau du premier cycle du secondaire. Des relevés hebdomadaires ont été effectués, ainsi que des enquêtes démographiques et des enquêtes de sortie visant à solliciter des réactions affectives, cognitives et physiques chez des élèves de 13-14 ans. Globalement, les résultats montrent que l'analyse de genre est essentielle pour comprendre comment les jeunes adolescents recherchent de l’information.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".