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How Engaged are our Students? Using Analytics to Identify Students-at-Risk

avondale-bepress.context-key12479473
avondale-bepress.submission-pathedu_conferences/48
avondale.affiliateWilliams, Anthony; 0000-0002-9918-4748
avondale.affiliateMorton, Jason K; 0000-0001-6611-6135
avondale.affiliateNorthcote, Maria; 0000-0002-6375-9669
avondale.affiliateKilgour, Peter; 0000-0002-0042-5186
avondale.departmentChristian Education Research Centre
avondale.facultyEducation
avondale.reporting.versionPublished Version
dc.contributor.authorNorthcote, Maria T.
dc.contributor.authorKilgour, Peter W.
dc.contributor.authorMorton, Jason K.
dc.contributor.authorWilliams, Anthony
dc.date.accessioned2023-11-01T00:27:03Z
dc.date.available2023-11-01T00:27:03Z
dc.date.issued2018-06-01
dc.date.submitted2018-07-12T16:57:02Z
dc.description.abstract<p>Learning Management System (LMS) analytics have become an area of increasing interest and development. The potential to better understand our students’ levels of engagement provided by the systems have, to date, has been underutilized information resources. The study reported here looks at the relationship of student and staff engagement in the LMS and considers the levels of predictability in student behavior leading to failure. Also considered is the impact of the lecturer on the student engagement of poor and high performing students.</p>
dc.identifier.citation<p>Williams, A., Morton, J., Kilgour, P., & Northcote, M. (2018). How engaged are our students? Using analytics to identify students at-risk. In T. Bastiaens (Ed.), <em>Proceedings of EdMedia: World Conference on Educational Media and Technology</em> (pp. 122-128). Amsterdam, Netherlands: Association for the Advancement of Computing in Education (AACE). Retrieved from <a href="https://www.learntechlib.org/p/184189">https://www.learntechlib.org/p/184189</a></p>
dc.identifier.isbn978-1-939797-34-6
dc.identifier.urihttps://research.avondale.edu.au/handle/1897/12479473
dc.language.isoen_us
dc.provenance<p>This conference proceeding was originally published as:</p> <p>Williams, T., Morton, J., Kilgour, P., & Northcote, M. (2018). How engaged are our students? Using analytics to identify students at-risk. In T. Bastiaens (Ed.), <em>Proceedings of EdMedia: World Conference on Educational Media and Technology</em> (pp. 122-128). Amsterdam, Netherlands: Association for the Advancement of Computing in Education (AACE). Retrieved from <a href="https://www.learntechlib.org/p/184189">https://www.learntechlib.org/p/184189</a></p> <p>ISBN: 978-1-939797-34-6</p>
dc.relation.ispartofEdMedia + Innovate Learning World Conference on Educational Media and Technology
dc.rights<p>Used by permission: AACE and the author(s).</p> <p>&copy; 2018 Association for the Advancement of Computing in Education (AACE)</p>
dc.subjectanalytics
dc.subjectMoodle
dc.subjectstudents at-risk
dc.titleHow Engaged are our Students? Using Analytics to Identify Students-at-Risk
dc.typeConference Publication

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