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Improve Performance of Recommender System in Collaborative Learning Environment based on Learner Tracks

dc.contributor.authorTang, Qing
dc.contributor.authorAbel, Marie-Hélène
HAL ID: 8329
ORCID: 0000-0003-1812-6763
dc.contributor.authorNegre, Elsa
dc.date.accessioned2022-02-23T10:33:13Z
dc.date.available2022-02-23T10:33:13Z
dc.date.issued2020
dc.identifier.urihttps://basepub.dauphine.psl.eu/handle/123456789/22731
dc.language.isoenen
dc.subjectOnline Learning
dc.subjectSoIS
dc.subjectCollaborative Learning Environment
dc.subjectRecommender System
dc.subjectLearner Track
dc.subject.ddc004en
dc.titleImprove Performance of Recommender System in Collaborative Learning Environment based on Learner Tracks
dc.typeCommunication / Conférence
dc.description.abstractenLearning with huge amount of open educational resources is challenging, especially when variety resources come from different System of Information Systems (SoIS). How to help learners obtain appropriate resources efficiently in collaborative learning environment is still a rigorous problem of research. This paper proposes a method to calculate learner’s knowledge competency by tracking and analyzing their behaviors in a collaborative learning environment based on SoIS, and combining other basic learner’s information to build a personalized recommender system to help learners select appropriate educational resources to improve their learning efficiency.
dc.identifier.citationpages270-277
dc.relation.ispartoftitleProceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - (Volume 3)
dc.relation.ispartofpublnameSciTePress
dc.relation.ispartofpublcitySetúbal
dc.relation.ispartofurl10.5220/0000142900002765
dc.identifier.urlsitehttps://hal.archives-ouvertes.fr/hal-03529461
dc.subject.ddclabelInformatique généraleen
dc.relation.ispartofisbn978-989-758-474-9
dc.relation.confdate2020
dc.relation.confcitySetúbal
dc.relation.forthcomingnonen
dc.identifier.doi10.5220/0010214702700277
dc.description.ssrncandidatenon
dc.description.halcandidatenon
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2023-02-02T18:43:43Z


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