Predicting student satisfaction in distance education and learning environments

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dc.contributor.authorSahin I.
dc.date.accessioned2020-03-26T17:19:22Z
dc.date.available2020-03-26T17:19:22Z
dc.date.issued2007
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe purpose of this study was to analyze characteristics of online learning environments. Data collected using the Distance Education Learning Environments Survey (DELES) were used to explore the relationship between student satisfaction and the following predictor variables: instructor support, student interaction and collaboration, personal relevance, authentic learning, active learning, and student autonomy. The participants of this study were 917 undergraduate students at an Anatolian university in Turkey. Results of the regression analysis show that four of the six DELES scales, namely, personal relevance, instructor support, active learning, and authentic learning, were significantly and positively related to student satisfaction. These results provide valuable feedback to institutions offering online classes and to educators evaluating satisfaction of their students.en_US
dc.identifier.endpage119en_US
dc.identifier.issn1302-6488en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage113en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/21860
dc.identifier.volume8en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofTurkish Online Journal of Distance Educationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectDELESen_US
dc.subjectDistance educationen_US
dc.subjectLearning environmenten_US
dc.subjectStudent satisfactionen_US
dc.titlePredicting student satisfaction in distance education and learning environmentsen_US
dc.typeArticleen_US

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