Analysis of learners' navigational behaviour and their learning styles in an online course.
Providing adaptive features and personalized support by considering students' learning styles in computer-assisted learning systems has high potential in making learning easier for students in terms of reducing their efforts or increasing their performance. In this study, the navigational behaviour...
| Publicado en: | Journal of Computer Assisted Learning Vol. 26; no. 2; pp. 116 - 132 |
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| Autores principales: | , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Apr2010
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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=ccm&AN=105173183&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105173183 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Apr2010 vid: 26 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 105173183 2010587920 10.1111/j.1365-2729.2009.00336.x 105173183 ppf: 116 ppct: 16 formats: tig: atl: Analysis of learners' navigational behaviour and their learning styles in an online course. aug: au: Graf S Liu T Kinshuk affil: Athabasca University, School of Computing and Information Systems, Alberta, Canada sug: subj: Behavior Education, Non-Traditional Internet Utilization Learning Methods Austria Education, Baccalaureate Funding Source Human Questionnaires ab: Providing adaptive features and personalized support by considering students' learning styles in computer-assisted learning systems has high potential in making learning easier for students in terms of reducing their efforts or increasing their performance. In this study, the navigational behaviour of students in an online course within a learning management system was investigated, looking at how students with different learning styles prefer to use and learn in such a course. As a result, several differences in the students' navigation patterns were identified. These findings have several implications for improving adaptivity. First, they showed that students with different learning styles use different strategies to learn and navigate through the course, which can be seen as another argument for providing adaptivity. Second, the findings provided information for extending the adaptive functionality in typical learning management systems. Third, the information about differences in navigational behaviour can contribute towards automatic detection of learning styles, helping in making student modeling approaches more accurate. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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