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Record W3131880609 · doi:10.5007/2175-795x.2021.e67368

Ludifier l’enseignement de l’économie au secondaire : une étude de cas auprès d’un enseignant et de ses 34 élèves

2021· article· fr· W3131880609 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePerspectiva · 2021
Typearticle
Languagefr
FieldPsychology
TopicEducational Games and Gamification
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArtSociology

Abstract

fetched live from OpenAlex

L’objectif de cette étude était de mieux cerner les avantages inhérents à l’usage de l’application éducative FinÉcoLab, développée par le Centre interuniversitaire de recherche en analyse des organisations (CIRANO). Les résultats de l’étude de cas effectuée montrent que le jeu éducatif comporte un grand nombre d’avantages éducatifs. En effet, ce sont 29 avantages qui ont été avancés par l’enseignant, et 23 par les élèves. Globalement, cette étude permet de conclure que ce qui semble tout à fait exceptionnel avec FinÉcoLab c’est qu’il permet de mieux apprendre une panoplie de concepts liés à l’éducation économique et financière, dans un contexte ludique, stimulant, signifiant et pratique.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.026
GPT teacher head0.319
Teacher spread0.293 · 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