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dc.contributor.authorPurarjomandlangrudi, Afrooz
dc.contributor.authorChen, David
dc.date.accessioned2019-06-21T05:32:20Z
dc.date.available2019-06-21T05:32:20Z
dc.date.issued2019
dc.identifier.issn2156-7069en_US
dc.identifier.doi10.25304/rlt.v27.2058en_US
dc.identifier.urihttp://hdl.handle.net/10072/384684
dc.description.abstractAdvances in technology reinforce the imperative to obtain further insight into the factors that impact online interaction in online environments. Even though past researchers have extracted factors impacting student online interaction and engagement, there is a lack of research that uncovers the dynamics of these relationships and investigates the impact of a comprehensive set of factors on student online interaction at the same time. Thus, this paper seeks to fill this gap by employing a causal loop approach to uncover the interrelationships of these factors that contribute to a positive impact on students’ learning outcomes, and to evaluate satisfaction and engagement in online courses by focussing on students’ online interaction. To this end, a rich qualitative data set was obtained from an online focus group consisting of students from a large online course, and a thematic analysis was conducted resulting in identifying different factors that played a role in the topic under study. More importantly, causal loop modelling was used to model these factors and their causal interrelationships.en_US
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.publisherASSOC LEARNING TECHNOLOGY-ALTen_US
dc.relation.ispartofpagefrom1en_US
dc.relation.ispartofpageto15en_US
dc.relation.ispartofjournalRESEARCH IN LEARNING TECHNOLOGYen_US
dc.relation.ispartofvolume27en_US
dc.subject.fieldofresearchSpecialist Studies in Educationen_US
dc.subject.fieldofresearchcode1303en_US
dc.titleA causal loop approach to uncover interrelationship of student online interaction and engagement and their contributing factorsen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dc.type.codeC - Journal Articlesen_US
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/en_US
gro.rights.copyright© 2019 A. Purarjomandlangrudi and D. Chen. Research in Learning Technology is the journal of the Association for Learning Technology (ALT), a UK-based professional and scholarly society and membership organisation. ALT is registered charity number 1063519. http://www.alt.ac.uk/. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material for any purpose, even commercially, provided the original work is properly cited and states its license.en_US
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gro.griffith.authorChen, David


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