Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5598
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dc.contributor.authorAslan, Burak Galip-
dc.contributor.authorÖztürk, Özlem-
dc.contributor.authorİnceoğlu, Mustafa Murat-
dc.date.accessioned2017-05-24T11:43:05Z-
dc.date.available2017-05-24T11:43:05Z-
dc.date.issued2014-
dc.identifier.citationAslan, B. G., Öztürk, Ö., and İnceoğlu, M. M. (2014). Effect of bayesian student modeling on academic achievement in foreign language teaching (university level english preparatory school example). Educational Sciences: Theory & Practice, 14(3), 1143-1168. doi:10.12738/estp.2014.3.1587en_US
dc.identifier.issn1303-0485-
dc.identifier.urihttp://hdl.handle.net/11147/5598-
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/166513-
dc.description.abstractConsidering the increasing importance of adaptive approaches in CALL systems, this study implemented a machine learning based student modeling middleware with Bayesian networks. The profiling approach of the student modeling system is based on Felder and Silverman's Learning Styles Model and Felder and Soloman's Index of Learning Styles Questionnaire. The questionnaire was adapted to Turkish for this experimental study conducted with respect to the visual/verbal and active/reflective dimensions of the model. A topic in EFL was chosen for the learning content design, which was also carried into the digital domain and remastered as separate learning scenes for different learning styles. Computer software was also implemented to carry out the experimental learning processes. A quasi-experimental pre-test, post-test design was conducted with 46 volunteers, with 23 students assigned each to a control and an experimental group to compare academic achievement between student-based learning and conventional computer-based learning. No significant difference was found in academic achievement between the control and experimental groups after the experimental treatment. The diagnostic performance of the proposed student modeling system was also compared with performances from similar studies. This student modeling system had a successful prediction rate of 41% on the visual/verbal dimension and 54% on the active/reflective dimension, respectively.en_US
dc.language.isoenen_US
dc.publisherEducational Consultancy and Research Centeren_US
dc.relation.ispartofEducational Sciences: Theory & Practiceen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAcademic achievementen_US
dc.subjectBayesian networksen_US
dc.subjectComputer aided language learningen_US
dc.subjectStudent modelingen_US
dc.subjectFelder and silverman's learning styles modelen_US
dc.titleEffect of bayesian student modeling on academic achievement in foreign language teaching (university level english preparatory school example)en_US
dc.typeArticleen_US
dc.authorid0000-0002-5426-3952en_US
dc.institutionauthorAslan, Burak Galip-
dc.departmentİzmir Institute of Technology. Computer Engineeringen_US
dc.identifier.volume14en_US
dc.identifier.issue3en_US
dc.identifier.startpage1143en_US
dc.identifier.endpage1168en_US
dc.identifier.wosWOS:000344251400017en_US
dc.identifier.scopus2-s2.0-84904681261en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.12738/estp.2014.3.1587-
dc.relation.doi10.12738/estp.2014.3.1587en_US
dc.coverage.doi10.12738/estp.2014.3.1587en_US
dc.identifier.trdizinid166513en_US
dc.identifier.wosqualityQ4-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairetypeArticle-
crisitem.author.dept03.04. Department of Computer Engineering-
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
TR Dizin İndeksli Yayınlar / TR Dizin Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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