Effectiveness of a Learning Analytics Dashboard for Increasing Student Engagement Levels

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dc.citation.issue3
dc.citation.volume10
dc.contributor.authorRamaswami G
dc.contributor.authorSusnjak T
dc.contributor.authorMathrani A
dc.date.accessioned2024-10-01T19:08:29Z
dc.date.available2024-10-01T19:08:29Z
dc.date.issued2023-12-22
dc.description.abstractLearning Analytics Dashboards (LADs) are gaining popularity as a platform for providing students with insights into their learning behaviour patterns in online environments. Existing LAD studies are mainly centred on displaying students’ online behaviours with simplistic descriptive insights. Only a few studies have integrated predictive components, while none possess the ability to explain how the predictive models work and how they have arrived at specific conclusions for a given student. A further gap exists within existing LADs with respect to prescriptive analytics that generate data-driven feedback to students on how to adjust their learning behaviour. The LAD in this study attempts to address this gap and integrates a full spectrum of current analytics technologies for sense-making while anchoring them within theoretical educational frameworks. This study’s LAD (SensEnablr) was evaluated for its effectiveness in impacting learning in a student cohort at a tertiary institution. Our findings demonstrate that student engagement with learning technologies and course resources increased significantly immediately following interactions with the dashboard. Meanwhile, results showed that the dashboard boosted the respondents’ learning motivation levels and that the novel analytics insights drawn from predictive and prescriptive analytics were beneficial to their learning. This study, therefore, has implications for future research when investigating student outcomes and optimizing student learning using LAD technologies.
dc.description.confidentialfalse
dc.format.pagination115-134
dc.identifier.citationRamaswami G, Susnjak T, Mathrani A. (2023). Effectiveness of a Learning Analytics Dashboard for Increasing Student Engagement Levels. Journal of Learning Analytics. 10. 3. (pp. 115-134).
dc.identifier.doi10.18608/jla.2023.7935
dc.identifier.eissn1929-7750
dc.identifier.elements-typejournal-article
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/71545
dc.languageEnglish
dc.publisherSociety for Learning Analytics Research (SoLAR)
dc.publisher.urihttps://learning-analytics.info/index.php/JLA/article/view/7935
dc.relation.isPartOfJournal of Learning Analytics
dc.rightsCC BY-NC-ND 3.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectlearning analytics
dc.subjectdashboard
dc.subjectdescriptive analytics
dc.subjectpredictive and prescriptive analytics
dc.subjectdashboard evaluation
dc.subjectstudent engagement behaviours
dc.subjectusability
dc.subjectresearch paper
dc.titleEffectiveness of a Learning Analytics Dashboard for Increasing Student Engagement Levels
dc.typeJournal article
pubs.elements-id485494
pubs.organisational-groupOther
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