Abstracts
Abstract
Emerging technologies are enabling adaptive learning systems to develop. This specific system consists of several models, including a learner model, domain knowledge model, instructional model, learning analytics model, and adaptive engine model. This paper reviewed multiple studies and highlighted the importance of refining each model in the context of creating a conceptual framework. We also proposed a metacognitive auxiliary model and an adaptive assessment model. The objective is to advance research into logical transitions in the internal structure of an adaptive learning ecosystem through the interpretation of different approaches, technologies, and solutions that facilitate the decision-making processes.
Keywords:
- Ecosystem,
- adaptive learning,
- didactics,
- evaluation
Résumé
Les technologies émergentes permettent l’évolution des systèmes d’apprentissage adaptatifs. Ce système spécifique se compose de plusieurs modèles, notamment un modèle d’apprenant, un modèle de connaissance du domaine, un modèle d’enseignement, un modèle d’analyse d’apprentissage et un modèle de moteur adaptatif. Cet article recense plusieurs études et souligne l’importance d’affiner chaque modèle dans l’optique de la création d’un cadre conceptuel. Nous proposons également un modèle auxiliaire métacognitif et un modèle d’évaluation adaptatif. L’objectif est de faire progresser la recherche de transitions logiques dans la structure interne d’un écosystème d’apprentissage adaptatif grâce à l’interprétation de ces approches, de ces technologies et de ces solutions qui facilitent les processus décisionnels.
Mots-clés :
- Écosystème,
- apprentissage adaptatif,
- didactique,
- évaluation
Appendices
References
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