Current and alternate approaches to personalization in online learning

dc.contributor.authorJeske, Debora
dc.contributor.authorBagher, Mammed
dc.contributor.authorPantidi, Nadia
dc.date.accessioned2017-11-17T12:18:49Z
dc.date.available2017-11-17T12:18:49Z
dc.date.issued2017
dc.description.abstractIn the context of distance (online) learning programs, the current paper focuses on two specific goals. First, we outline how personalization based on learning analytics has been implemented in online programs offered by traditional universities, but also providers of MOOCs and virtual institutions. However, this established approach is not without its limitations. Second, we introduce two alternate concepts that may support personalization based on work around readability indices and job crafting. These approaches may also help to address some of the limitations of learning analytics. The emphasis is on how personalization may support the development of individual learning paths that would provide means for both self-pacing and co-construction of the experience. The paper concludes with a review of facilitating and challenging factors for program leaders, online technical staff and designers working in open educational contexts.en
dc.description.statusPeer revieweden
dc.description.versionAccepted versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationJeske, D., Bagher, M. and Pantidi, N. (2017) ‘Current and alternate approaches to personalization in online learning’, Proceedings of the 13th International Symposium on Open Collaboration. Galway, Ireland, 23-25 August. doi:10.1145/3125433.3125449en
dc.identifier.doi10.1145/3125433.3125449
dc.identifier.isbn978-1-4503-5187-4
dc.identifier.urihttps://hdl.handle.net/10468/5062
dc.language.isoenen
dc.publisherAssociation for Computing Machineryen
dc.relation.ispartofProceedings of the 13th International Symposium on Open Collaboration
dc.relation.urihttps://dl.acm.org/citation.cfm?doid=3125433.3125449
dc.relation.urihttp://www.opensym.org/
dc.rights© 2017, the Authors. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org.en
dc.subjectPersonalizationen
dc.subjectLearning analyticsen
dc.subjectJob craftingen
dc.subjectSelf-pacingen
dc.subjectCo-constructionen
dc.subjectReadability indicesen
dc.titleCurrent and alternate approaches to personalization in online learningen
dc.typeConference itemen
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