Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities.
Learning 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-leani...
| Publicado en: | Computers in Human Behavior Vol. 55; pp. 1185 - 1194 |
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| Formato: | Artículo |
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Elsevier B.V.
Feb2016 Part B
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=111740625&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 111740625 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 07475632 JC4 jtl: Computers in Human Behavior issn: 07475632 maglogo: N pubinfo: dt: Feb2016 Part B vid: 55 pid: 2410 pub: Elsevier B.V. artinfo: ui: 111740625 10.1016/j.chb.2015.02.014 ppf: 1185 ppct: 9 formats: tig: atl: Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities. aug: au: Truong, Huong May affil: Corvinno Technology Transfer Centre, Eduworks ITN, Kozraktar 12/a, H-1093 Budapest, Hungary su: Alternative education Student attitudes Algorithms Cognitive styles Learning strategies sug: subj: Alternative education Student attitudes Algorithms Cognitive styles Learning strategies keyword: Adaptive learning system E-learning IT in education Learning styles Literature review Adaptive learning system E-learning IT in education Learning styles Literature review ab: Learning 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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