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Record W3000781857 · doi:10.24908/pceea.vi0.13703

APPRENTISSAGE ACTIF FONDÉ SUR LA CLASSE INVERSÉE DANS UN COURS DE GÉNIE MÉCANIQUE

2019· article· fr· W3000781857 on OpenAlexaffvenue
Patrick Terriault

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicEducational Assessment and Pedagogy
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Cet article présente un projet de recherche dont le but est d’étudier l’efficacité de la classe inversée implantée dans un cours obligatoire de génie mécanique. L’inversion du cours a été motivée par la passivité des étudiants durant les séances de cours magistraux et par les apprentissages en surface qu’ils réalisent. Pour remédier à cette problématique, le cours a été inversé en prenant en considération les déterminants de la motivation, certains éléments de la psychologie cognitive ainsi que la taxonomie de Bloom. Après avoir développé du nouveau matériel pédagogique, la classe inversée a été testée pour la première fois à l’hiver 2019. Les résultats préliminaires sont encourageants, car les étudiants se sont montrés satisfaits du cours lorsqu’ils se sont prononcés par un court questionnaire, par l’évaluation institutionnelle et lors d’un entretien de groupe. Les travaux se poursuivent vers une étude rigoureuse qui, à l’automne 2020, comparera l’efficacité d’un même cours offert en classe traditionnelle et en classe inversée.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.008
GPT teacher head0.248
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes2
Has abstractyes

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