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Record W4410705277 · doi:10.29173/cais1886

Digital Serious Games as Tools to Support Education

2025· article· en· W4410705277 on OpenAlexvenueno aff
Mamoudou Ndiaye, Fabrice Pirolli, Raphaëlle Crétin‐Pirolli

Bibliographic record

VenueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI · 2025
Typearticle
Languageen
FieldPsychology
TopicEducational Games and Gamification
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesEntertainmentPolitical scienceLibrary scienceSociologyComputer scienceArt

Abstract

fetched live from OpenAlex

During the last decades, Serious Games (SG) have emerged as innovative educational tools that blend learning with entertainment, addressing the challenges of digital and pedagogical shifts. However, incorporating these hybrid instruments into teaching methods and preserving them as cultural artifacts presents considerable obstacles. This research investigates the information-related behaviours of teachers and pedagogical engineers who work with Serious Games. Furthermore, this paper examines the efforts of the French National Library in preserving SG within its legal deposit framework, highlighting the complexities of archiving these digital artifacts. The findings reveal diverse informational practices, a need for specialized support in SG integration and challenges in long-term preservation. Les serious games numériques comme outils de soutien à l'éducation: Pratiques informationnelles des enseignants.e.s., perspectives d’intégration et enjeux de leur préservation à la Biblioth`èque Nationale de France (BNF) RésuméDurant la dernière décennie, les Serious Games (SG) ont émergé en tant qu’outils éducatifs innovants qui mélange apprentissage et divertissement, répondant aux défis des changements du numérique et de la pédagogie. Cependant, l’intégration de ces instruments hybrides dans les méthodes d’enseignement et leur préservation comme artefacts culturels présentent des obstacles majeurs. Cette recherche étudie les comportements liés à l’information des professeur·e·s et des technicien·enne·s pédagogiques qui travaillent avec Serious Games. En outre, cet article examine les efforts de la Bibliothèque Nationale de France dans la préservation des SG dans le cadre de son dépôt légal, mettant en lumière les complexités de l’archivage des artefacts numériques. Les résultats révèlent des pratiques informationnelles diverses, un besoin de soutien spécialisé dans l’intégration des SG et les défis pour la préservation à long terme. Mots-cléspratiques informationnelles; serious games; préservation numérique; horizon de l’information; jeux éducatifs

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0010.002
Scholarly communication0.0070.005
Open science0.0020.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.003

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 head0.023
GPT teacher head0.314
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueProceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSISame topicEducational Games and GamificationFrench-language works237,207