Publication:
Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities

dc.contributor.authorTruong, Huong May
dc.contributor.funderEuropean Commissions
dc.contributor.rorhttps://ror.org/02jjdwm75
dc.date.accessioned2025-07-10T12:36:43Z
dc.date.available2025-07-10T12:36:43Z
dc.date.issued2016-02
dc.description.abstractLearning styles which refer to students’ preferred ways to learn can play an important role in adaptive e-learning systems. With the knowledge of different styles, the system can offer valuable advice and instructions to students and teachers to optimise students’ learning process. Moreover, e-leaning system which allows computerised and statistical algorithms opens the opportunity to overcome drawbacks of the traditional detection method that uses mainly questionnaire. These appealing reasons have led to a growing number of researches looking into the integration of learning styles and adaptive learning system. This paper, by reviewing 51 studies, delves deeply into different parts of the integration process. It captures a variety of aspects from learning styles theories selection in e-learning environment, online learning styles predictors, automatic learning styles classification to numerous learning styles applications. The results offer insights into different developments, achievements and open problems in the field. Based on these findings, the paper also provides discussion, recommendations and guidelines for future researches.
dc.description.fundingtypeThis work was carried out under the framework of Eduworks Initial Training Network, Marie Skłodowska-Curie actions (MSCA) FP7 of the European Commissions.
dc.description.peerreviewedyes
dc.description.statusPublished
dc.formatapplication/pdf
dc.identifier.citationTruong, H. M. (2016). Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities. Computers in human behavior, 55, 1185-1193. https://doi.org/10.1016/j.chb.2015.02.014
dc.identifier.doihttps://doi.org/10.1016/j.chb.2015.02.014
dc.identifier.issn1873-7692
dc.identifier.officialurlhttps://www.sciencedirect.com/science/article/pii/S0747563215001120
dc.identifier.urihttps://hdl.handle.net/20.500.14417/3839
dc.issue.numberB
dc.journal.titleComputers in Human Behavior
dc.language.isoen
dc.page.final1193
dc.page.initial1185
dc.page.total9
dc.publisherElsevier
dc.relation.departmentInformation Systems & Technology
dc.relation.entityIE University
dc.relation.schoolIE Business School
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.en
dc.subject.keywordLearning styles
dc.subject.keywordAdaptive learning system
dc.subject.keywordLiterature review
dc.subject.keywordE-learning
dc.subject.keywordIT in education
dc.titleIntegrating learning styles and adaptive e-learning system: Current developments, problems and opportunities
dc.typeinfo:eu-repo/semantics/article
dc.version.typeinfo:eu-repo/semantics/acceptedVersion
dc.volume.number55
dspace.entity.typePublication
relation.isAuthorOfPublicationad23b976-18a4-473b-9c04-9bf136cbe3c4
relation.isAuthorOfPublication.latestForDiscoveryad23b976-18a4-473b-9c04-9bf136cbe3c4
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