Évaluation informatisée des cheminements d'apprentissage de la modélisation scientifique
Bibliographic record
Abstract
Dans le but de rendre les séances au laboratoire de science plus formatrices, nous avons développé un environnement informatisé d'apprentissage humain qui permet aux étudiants de s'engager dans un processus de modélisation scientifique en combinant l'expérimentation assistée par ordinateur (ExAO) et la simulation assistée par ordinateur (EAO). La caractéristique la plus originale de l'environnement est de permettre aux étudiants de comparer un mouvement filmé en vidéo avec une simulation animée d'un phénomène en superposant directement les images réelles (de la vidéo) et virtuelles (de la simulation). Nous avons expérimenté l'environnement développé avec plusieurs groupes d'étudiants et nous avons observé qu'ils ont réussi à l'utiliser pour obtenir des réponses à des questions concernant des concepts scientifiques préalablement abordés en classe ainsi que des concepts complètement nouveaux. Les étudiants on complété l'expérience environ deux fois plus rapidement que normalement et ont émis l'avis que l'utilisation de l'environnement d'apprentissage permettait de mieux comprendre le phénomène que les expériences habituelles. Nous en concluons qu'il serait intéressant d'explorer plus en profondeur certaines propriétés de cet environnement dans des recherches futures. In order to facilitate learning during science labs, we developed a computerized learning environment allowing students to engage in a scientific modelling process by combining computer-assisted experimentation (ExAO) and computer-assisted simulation (EAO). The novelty of this environment resides in the fact that students can superimpose real video images and simulated animations. We tested the environment with several groups of students and observed that they were able to use it to answer questions about concepts seen in class but also about entirely new concepts. The students completed the experiments twice as fast as with the usual lab environment and reported a better understanding of the phenomenon being studied. We conclude a deeper understanding of the properties of this environment could be achieved through further research.
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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 | 0.027 | 0.104 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".