GOALS: Generator Of Adaptive Learning Scenarios - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue International Journal of Learning Technology Année : 2013

GOALS: Generator Of Adaptive Learning Scenarios

Karim Sehaba
Aarij Mahmood Hussaan
  • Fonction : Auteur

Résumé

The problem of generating personalised learning activities for learners is a difficult task. The difficulty is compounded if the learning activity is mediated or presented through a serious game. In this paper, we present a system, called generator of adaptive learning scenarios (GOALS), that is capable of generating learning scenarios taking into account the learners’ interaction traces, pedagogical objectives and the specificities of serious games. The generator we propose aims to be generic, i.e., independent of the application domain and serious games. To achieve this, we propose an architecture that organises the knowledge in three layers: domain concepts, pedagogical resources and serious game resources. This work has been conducted in the context of Cognitive Linguistic Elements Stimulations Project (CLES). This project targets the development of an online serious game dedicated to persons with cognitive disabilities. In order to validate our approaches, we conducted experiments in the context of CLES project. These experiments are based on comparative method that compares the results generated by our system with that of an expert. The results of the evaluations, conducted with a domain expert and end users, are also presented.
Fichier non déposé

Dates et versions

hal-01339255 , version 1 (29-06-2016)

Identifiants

Citer

Karim Sehaba, Aarij Mahmood Hussaan. GOALS: Generator Of Adaptive Learning Scenarios. International Journal of Learning Technology, 2013, 3, 8, pp.224-245. ⟨10.1504/IJLT.2013.057061⟩. ⟨hal-01339255⟩
65 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More