{# 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

Improving Cognitive Decision-Making into Adaptive Educational Systems through a Diagnosis Tool based on the Competency Approach

Article scientifique 2019 Anglais

Résumé

Adaptive Educational systems (AES) does not necessarily lead to a better learning. Several kinds of research reveal that the problem is due to, on the one hand, the accent is put mainly on the technological tools to the detriment of the pedagogical aspect. On the other hand, there is a lack of the importance given to the assessment which is an integral part of the learning-teaching process and the professional act of primary importance which gives the decisions and the consequences that result from it. In this paper, we propose a solution for the diagnostic evaluation based on competency approach especially on the pedagogy of integration. The proposed solution allows getting information about the available learners’ knowledge level by presenting an assessment based on the common definition given to competencies by the majority of the authors of the domain. İn this context, the assessment process proposed is presented on two steps: the first step, we evaluate resources related to the competence to verify their acquisition degree and to remediate if necessary, the second step will evaluate the capacity of leaner to mobilize those resources in order to apprehend a situation and respond to it in a more or less relevant way. This research aims to present a new vision in the context of the assessment into adaptive educational systems.

Citer ce document

Hrich, N., Lazaar, M., & Khaldi, M. (2019). Improving Cognitive Decision-Making into Adaptive Educational Systems through a Diagnosis Tool based on the Competency Approach. International Journal of Emerging Technologies in Learning (iJET). https://doi.org/10.3991/ijet.v14i07.9870

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 02/09/2026. Le document reste hébergé par sa source.
Voir le document à la source →

Statistiques

Consultations : 3

Téléchargements : 0