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dc.contributor.authorAn, Truong-Sinh
dc.contributor.authorKrauss, Christopher
dc.contributor.authorMerceron, Agathe
dc.date.accessioned2019-10-25T03:12:01Z
dc.date.available2019-10-25T03:12:01Z
dc.date.created2017-08-14 23:03
dc.date.issued2017
dc.identifieroai:fraunhofer.de:N-461409
dc.identifierhttp://publica.fraunhofer.de/documents/N-461409.html
dc.identifier.urihttp://hdl.handle.net/20.500.12424/1267064
dc.description.abstractThe emergence of Massive Open Online Courses (MOOCs) has enabled new research to analyze typical behaviors of learners. In this paper, we investigate whether this research is generalizable to other courses that are backed by a learning management system (LMS) as MOOCs are. Building on methods developed by others, we characterize individual learning behaviors in different ways taking into account specificities of the LMS we use. We then apply clustering techniques to uncover typical behaviors in two university courses. One course, JavaFX, teaching about the software programming framework, has been offered as a supplementary online course to students enrolled in an online degree. Enrolling in this course was voluntary and students did not earn any credit towards their degree; in this sense, the JavaFX course bears similarities to a MOOC though it is neither massive nor open to everybody. The other course is a classical face-to-face course on Advanced Web Technologies (AWT) backed by our LMS; students earn a degree when they pass the final exam. It turns out that the different characterizations of individual learning behaviors are consistent for the JavaFX course and uncover typical behaviors reminiscent of those found by others in MOOCs, while they aren't as applicable to the AWT course. However, typical behaviors found in the AWT course give insights on styles that lead to better marks.
dc.languageEnglish
dc.relation.ispartofHu, Xiangen (Ed.): 10th International Conference on Educational Data Mining, EDM 2017. Proceedings. Online resource: Wuhan, China, June 25-28, 2017. Wuhan, 2017, pp. 220-225
dc.rightsopenAccess
dc.sourceFraunhofer FOKUS
dc.subjectMOOC
dc.subjecttypical behavior
dc.subjectX-means clustering
dc.titleCan typical behaviors identified in MOOCs be discovered in other courses?
dc.typeConference Paper
ge.collectioncodeOAIDATA
ge.dataimportlabelOAI metadata object
ge.identifier.legacyglobethics:10970610
ge.identifier.permalinkhttps://www.globethics.net/gel/10970610
ge.lastmodificationdate2017-08-14 23:03
ge.lastmodificationuseradmin@pointsoftware.ch (import)
ge.submissions0
ge.oai.exportid149104
ge.oai.repositoryid480
ge.oai.setnameInformatics
ge.oai.setnameopenaire
ge.oai.setspecInformatics
ge.oai.setspecopenaire
ge.oai.streamid2
ge.setnameGlobeEthicsLib
ge.setspecglobeethicslib
ge.linkhttp://publica.fraunhofer.de/documents/N-461409.html


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