Towards a Recommendation System for the Learner from a Semantic Model of Knowledge in a Collaborative Environment - Computer Science and Its Applications Access content directly
Conference Papers Year : 2015

Towards a Recommendation System for the Learner from a Semantic Model of Knowledge in a Collaborative Environment

Abstract

Collaboration is a common work between many people which generates the creation of a common task. A computing environment can foster collaboration among peers to exchange and share knowledge or skills for succeeding a common project. Therefore, when users interact among themselves and with an environment, they provide a lot of information. This information is recorded and classified in a model of traces to be used to enhance collaborative learning. In this paper, we propose (1) the refinement of a semantic model of traces with indicators calculated according to Bayes formulas and (2) the exploitation of these indicators to provide recommendations to the learner to reinforce learning points with learners, of his/her community of collaboration, identified as "experts".
Fichier principal
Vignette du fichier
339159_1_En_26_Chapter.pdf (536.74 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01789938 , version 1 (11-05-2018)

Licence

Attribution

Identifiers

Cite

Chahrazed Mediani, Marie-Hélène Abel, Mahieddine Djoudi. Towards a Recommendation System for the Learner from a Semantic Model of Knowledge in a Collaborative Environment. 5th International Conference on Computer Science and Its Applications (CIIA), May 2015, Saida, Algeria. pp.315-327, ⟨10.1007/978-3-319-19578-0_26⟩. ⟨hal-01789938⟩
329 View
145 Download

Altmetric

Share

Gmail Facebook X LinkedIn More