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dc.contributor.author조일현-
dc.contributor.author박연정-
dc.date.accessioned2017-08-28T07:37:32Z-
dc.date.available2017-08-28T07:37:32Z-
dc.date.issued2016-
dc.identifier.issn1096-7516-
dc.identifier.issn1873-5525-
dc.identifier.urihttp://dspace.ewha.ac.kr/handle/2015.oak/217828-
dc.description.abstractBlended learning (BL) is recognized as one of the major trends in higher education today. To identify how BL has been actually adopted, this study employed a data-driven approach instead of model-driven methods. Latent Class Analysis method as a clustering approach of educational data mining was employed to extract common activity features of 612 courses in a large private university located in South Korea by using online behavior data tracked from Learning Management System and institution's course database. Four unique subtypes were identified. Approximately 50% of the courses manifested inactive utilization of LMS or immature stage of blended learning implementation, which is labeled as Type I. Other subtypes included Type C - Communication or Collaboration (24.3%), Type D - Delivery or Discussion (18.0%), and Type S - Sharing or Submission (7.2%). We discussed the implications of BL based on data-driven decisions to provide strategic institutional initiatives. (C) 2015 Elsevier Inc. All rights reserved.-
dc.languageEnglish-
dc.publisherELSEVIER SCIENCE INC-
dc.subjectBlended learning-
dc.subjectHigher education-
dc.subjectAcademic analytics-
dc.subjectEducational data mining-
dc.subjectLatent class analysis-
dc.titleClustering blended learning courses by online behavior data: A case study in a Korean higher education institute-
dc.typeArticle-
dc.relation.volume29-
dc.relation.indexSSCI-
dc.relation.indexSCOPUS-
dc.relation.startpage1-
dc.relation.lastpage11-
dc.relation.journaltitleINTERNET AND HIGHER EDUCATION-
dc.identifier.doi10.1016/j.iheduc.2015.11.001-
dc.identifier.wosidWOS:000374606000001-
dc.identifier.scopusid2-s2.0-84948152990-
dc.author.googlePark, Yeonjeong-
dc.author.googleYu, Ji Hyun-
dc.author.googleJo, Il-Hyun-
dc.contributor.scopusid조일현(26641169300)-
dc.contributor.scopusid박연정(56699008000)-
dc.date.modifydate20170626115641-
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사범대학 > 교육공학과 > Journal papers
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