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Examining the impact of feedback based on learning analytics from the perspective of self-regulated learning /

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dc.contributor.authorLim, Lisa-Angelique
dc.contributor.schoolUniversity of South Australia. UniSA Education Futures.
dc.contributor.schoolUniSA Education Futures
dc.date.issued2020
dc.description1 ethesis (xiv, 233 pages) :
dc.descriptionillustrations (some colour)
dc.descriptionIncludes bibliographical references (pages 179-199)
dc.description.abstractLearner data collected as a by-product of digital learning environments have created new opportunities for providing personalised feedback and support to students. Learning analytics (LA), an area of research that uses digital learner traces to enable insights into students’ learning processes, has garnered much interest in the development of technologies to scale personalised feedback. However, empirical research is limited regarding the impact of such feedback systems on students’ learning and performance. This doctoral thesis examines the impact of LA-based feedback systems on students’ performance and self-regulated learning (SRL) through four studies. Collectively, the results contribute to theory and practice of feedback based on LA data and provide empirical support to feedback theories explicitly linking feedback with SRL.
dc.description.dissertationThesis (PhD(Education)Curriculum, Education Studies)(DUCIER)--University of South Australia, 2020.
dc.identifier.urihttps://hdl.handle.net/11541.2/146535
dc.language.isoen
dc.provenanceCopyright 2020 Lisa-Angelique Lim.
dc.subjectlearning analytics;feedback;self -regulated learning
dc.subject.lcshAchievement motivation.
dc.subject.lcshEducation, Higher
dc.subject.lcshLearning, Psychology of.
dc.subject.lcshStudent-centered learning.
dc.titleExamining the impact of feedback based on learning analytics from the perspective of self-regulated learning /
dc.typethesis
dcterms.accessRights506 0#$fstar $2Unrestricted online access
ror.fileinfo12217089770001831 13217089760001831 Lim, Lisa-Angelique - Thesis
ror.mmsid9916501210901831

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