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Record W1952763452 · doi:10.21432/t2dw2f

Apprendre ensemble en classe via des jeux vidéo populaires : le modèle du LAN pédagogique

2011· article· fr· W1952763452 on OpenAlexaffvenue
Samuelle Ducrocq-Henry

Bibliographic record

VenueCanadian Journal of Learning and Technology · 2011
Typearticle
Languagefr
FieldPsychology
TopicEducational Games and Gamification
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La thèse intitulée « Les tribus ludiques» expose le modèle du LAN pédagogique (LP) découlant d’une étude des compétitions de jeu vidéo en réseau local (LAN parties). Incarnant un rite de passage quasi tribal chez les 12-25 ans, les LAN semblent favoriser socialisation et apprentissage. Un LP permet aux enseignants d’initier des expériences réseautiques similaires et formatrices en classe, tenues simultanément dans les mondes réels et virtuels, en détournant le scénario de jeux vidéo multijoueurs populaires, pour en faire des simulateurs propices à l’enseignement de disciplines diverses. Sa procédure simple et abordable révèle le potentiel du Serious Gaming en éducation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

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

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 head0.033
GPT teacher head0.272
Teacher spread0.239 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2011
Admission routes2
Has abstractyes

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