How One Science Teacher Redefines a Science Teaching Practice around a Theme: A Case Study in the Context of Educational Reform in Quebec.
Bibliographic record
Abstract
In the context of an education reform in Quebec, this case study illustrates how a science teacher’s practice was redefined with nine classes over a period of four months on a specific, integrative theme inspired by issues of daily life in an attempt to increase her students’ motivation and to better make sense of some scientific concepts prescribed in the new curriculum. Activity theory was used as a theoretical and methodological framework to analyze the development of the activity and revealed to be a fruitful approach to better understand real-life and complex situations within a school community. Special attention was given to dynamic relations and changes that took place as the activity was unfolding. The contribution of the nine classes in the analyzed activity was possible due to the collaboration of several members of the school community who shared the same goals and who sought to transform the learning environment.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.028 | 0.011 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".