Titre :

Towards to an Bio-inspired Orchestration of Mobile Learning Activities

Auteur(s) :

Dennouni, Nassim [Auteur]
Nouveaux Outils pour La Coopération et l'Education [NOCE]
جامعة جيلالي اليابس [سيدي بلعباس، الجزائر] = Université Djillali Liabès [Sidi Bel Abbès, Algérie] = Djillali Liabes University [Sidi Bel Abbès, Algeria] [UDL]
Peter, Yvan [Auteur]
Nouveaux Outils pour La Coopération et l'Education [NOCE]
Lancieri, Luigi [Auteur]
Nouveaux Outils pour La Coopération et l'Education [NOCE]
Slama, Zohra [Auteur]
جامعة جيلالي اليابس [سيدي بلعباس، الجزائر] = Université Djillali Liabès [Sidi Bel Abbès, Algérie] = Djillali Liabes University [Sidi Bel Abbès, Algeria] [UDL]

Titre de la revue :

International Journal of Modern Education and Computer Science (IJMECS)

Pagination :

pp 1-11

Éditeur :

MECS Publisher

Date de publication :

2015-04-08

ISSN :

2075-0161

Mot(s)-clé(s) en anglais :

mobile learning
recommandation systems
recommendation system

Discipline(s) HAL :

Informatique [cs]/Interface homme-machine [cs.HC]
Informatique [cs]/Environnements Informatiques pour l'Apprentissage Humain

Résumé en anglais : [en]

This paper presents a new approach to a recommendation of learning activities adapted to the spatial and temporal context of each mobile learner. Indeed, the path traveled by the user during a field trip can be guided using ...
Lire la suite >This paper presents a new approach to a recommendation of learning activities adapted to the spatial and temporal context of each mobile learner. Indeed, the path traveled by the user during a field trip can be guided using the technique of passivecollaborative filtering. This recommendation is based on the ACO (Ant Colony Optimization) algorithm, which represents a good model for swarm intelligence. For this reason, the structure of our mobile scenario is described as a graph where POIs (Point Of Interest) are represented by nodes and the arcs indicate the probability of moving between them. This recommendation system allows the orchestration of mobile learning according to the geographical location of learners and the historical of their activities. Our contribution is devised in three parts: (1) the creation of a mobile learning scenario based on POIs, (2) the adaptation of the ACO algorithm for the orchestration of paths taken by learners, and (3) the development of a recommender system that helps learners to better choose their paths during the field trip.Lire moins >

Langue :

Anglais

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL