Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/15261
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dc.contributor.authorFisher, Josie Aen
dc.contributor.authorValenzuela, Fredyen
dc.contributor.authorWhale, Sueen
dc.date.accessioned2014-06-17T16:26:00Z-
dc.date.issued2014-
dc.identifier.isbn9781743615638en
dc.identifier.isbn9781743615652en
dc.identifier.isbn9781743615645en
dc.identifier.urihttps://hdl.handle.net/1959.11/15261-
dc.description.abstractThis project explored the potential for enhancing students' learning experiences by utilising data from a learning management system (LMS) in an innovative way to inform practice. It closely aligned with the OLT Seed Project Priority Area: Innovation and development in learning and teaching, including in relation to the role of new technologies. Identified outputs: • a critical evaluation of the assumption that analytics can be utilised at the subject level to inform teaching practice in real time leading to lower attrition, increased student engagement and satisfaction, and higher success rates within the subjects; and • an evaluation of student perceptions on the use of analytics as an indicator for the need for interventions, and the value of the interventions provided. The project evaluated the effectiveness of utilising learning analytics to inform effective 'real time' delivery of tailored learning resources and activities interventions) to students identified as being at risk of non-completion or failing selected business subjects offered by distance education at the University of New England (UNE). Three subjects were included in the study, one undergraduate and two postgraduate. Prior to the commencement of teaching, each subject was reviewed to identify key points during the teaching period where tracking data available in the LMS could be utilised to inform interventions which were considered to be of most value to students. The interventions were then developed specifically for each subject. The lecturer delivering the subject was responsible for managing the interventions and each was personalised to the student (as opposed to automatically generated communications). Across the three subjects, 248 students were enrolled and 90 of these students received at least one intervention. Student activity following the interventions was reviewed to determine the resulting impact of each prompt. Final results and student evaluation surveys were also examined and compared to the previous year's offering for the same subject. Students were surveyed at the end of the teaching period to determine their perceptions of the interventions including their value and impact on behaviour. The survey was followed by a series of in-depth interviews conducted with students who were part of the project.en
dc.languageenen
dc.publisherAustralian Government, Office for Learning and Teachingen
dc.titleLearning analytics: a bottom-up approach to enhancing and evaluating students' online learningen
dc.typeReporten
dc.subject.keywordsEducationen
local.contributor.firstnameJosie Aen
local.contributor.firstnameFredyen
local.contributor.firstnameSueen
local.subject.for2008139999 Education not elsewhere classifieden
local.subject.seo2008930199 Learner and Learning not elsewhere classifieden
dc.contributor.corporateAustralian Government, Office for Learning & Teachingen
local.profile.schoolUNE Business Schoolen
local.profile.schoolUNE Business Schoolen
local.profile.schoolUNE Business Schoolen
local.profile.emailjfisher@une.edu.auen
local.profile.emailfvalenz2@une.edu.auen
local.profile.emailswhale2@une.edu.auen
local.output.categoryR1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20140616-153034en
local.publisher.placeSydney, Australiaen
local.format.pages18en
local.title.subtitlea bottom-up approach to enhancing and evaluating students' online learningen
local.contributor.lastnameFisheren
local.contributor.lastnameValenzuelaen
local.contributor.lastnameWhaleen
dc.identifier.staffune-id:jfisheren
dc.identifier.staffune-id:fvalenz2en
dc.identifier.staffune-id:swhale2en
local.profile.orcid0000-0002-4828-6410en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:15477en
local.identifier.handlehttps://hdl.handle.net/1959.11/15261en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleLearning analyticsen
local.output.categorydescriptionR1 Reporten
local.relation.urlhttp://www.olt.gov.au/project-learning-analytics-bottom-approach-enhancing-and-evaluating-studentsapos-online-learning-201en
local.search.authorFisher, Josie Aen
local.search.authorValenzuela, Fredyen
local.search.authorWhale, Sueen
local.uneassociationUnknownen
local.year.published2014en
local.output.classReporten
local.output.classR1 Contract Reporten
local.subject.for2020399999 Other education not elsewhere classifieden
local.subject.seo2020160199 Learner and learning not elsewhere classifieden
Appears in Collections:Report
UNE Business School
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