{# Audit 04/10/2026 : « autre » n'est pas un code de langue ; SPHAERO n'est pas l'éditeur des documents qu'elle héberge ou référence. #} {# citation_pdf_url doit mener à un PDF : un lien vers une page DOI est pénalisé par Google Scholar (avant : tout lien externe). #}
Accès ouvert · CC BY

Artificial Intelligence Empowers Gamification: Optimizing Student Engagement and Learning Outcomes in E-learning and MOOCs

Article scientifique 2023 Anglais

Résumé

In this era of Artificial Intelligence (AI) growth, characterized by advances in the Large Language Models (LLMs) used by ChatGPT and Bard, this study examines the effects of gamification and Automatic Question Generation (AQG) on student engagement and learning outcomes in the context of a Massive Open Online Course (MOOC). AQG, implemented via a Moodle plugin, transforms conventional assessments into an interactive, gamified experience, leveraging the “test effect” to improve learning outcomes. Research with 100 fifth-graders in a primary and secondary school shows that gamified assessments significantly boost student motivation and learning outcomes compared with traditional methods. The custom Moodle plugin facilitates the AQG process, generating contextually relevant and grammatically correct Multiple-Choice Questions (MCQs) from course content. The result is a dynamic, personalized assessment experience aimed at optimizing student retention. This paper concludes by discussing the implications of the study for educators and highlighting potential directions for future research.

Citer ce document

Bachiri, Y.-A., Mouncif, H., & Bouikhalene, B. (2023). Artificial Intelligence Empowers Gamification: Optimizing Student Engagement and Learning Outcomes in E-learning and MOOCs. International Journal of Engineering Pedagogy (iJEP). https://doi.org/10.3991/ijep.v13i8.40853

Exporter : BibTeX · RIS (Zotero, Mendeley, EndNote)

Accès au document

Texte intégral en lecture en ligne, réservé aux abonnés SPHAERO et aux membres de l'institution. Se connecter

Voir l'article sur le site de la revue

Licence et provenance

Licence : CC BY

Notice moissonnée depuis OpenAlex le 27/09/2026. Le document reste hébergé par sa source.
Voir le document à la source →

Statistiques

Consultations : 2

Téléchargements : 0