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dc.contributor.authorO'Dowd, Irene
dc.date2018en_US
dc.date.accessioned2022-03-14T16:56:57Z
dc.date.available2022-03-14T16:56:57Z
dc.identifier.issn2009-972x
dc.identifier.doi10.22554/ijtel.v3i1.25en_US
dc.identifier.urihttp://hdl.handle.net/20.500.13012/63
dc.description.abstractThis paper describes the findings of a small research study, conducted in a third-level online college, using learning analytics to examine the implementation of formative quizzes in a blended-learning post-primary teaching programme. Using historic data captured in a virtual learning environment (VLE) for a single cohort (n=126), patterns of use of formative knowledge check quizzes were analysed with particular regard to completion and retakes. Three hypotheses were tested using appropriate data correlation methods. Completion levels for quizzes were correlated with completion levels for other online tasks to see whether an increase in online task workload resulted in a decrease in quiz engagement. A second test compared levels of quiz re-attempts with completion levels for other online tasks, to see whether different patterns of quiz attempts were linked to different levels of online engagement. Finally, the data was analysed to ascertain the relationship, if any, between student gender and different patterns of quiz attempts, to see if gender might be a factor in quiz engagement. The findings of this study suggested that the decrease in engagement with quizzes was not significantly related to online task workload increase, and that there is a relationship between quiz re-attempts and higher module engagement. The findings are presented and discussed in the context of student engagement with online formative strategies in humanities-based subjects. Options are considered for enhancing engagement and formative value in this teaching and learning context; the potential of learning analytics in informing evidence-based improvements in digital learning design is also assessed.
dc.language.isoenen_US
dc.rightsAttribution-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.subjectMoodleen_US
dc.subjectquizzesen_US
dc.subjectlearning analyticsen_US
dc.subjectformative assessmenten_US
dc.subjectdigital learningen_US
dc.titleUsing learning analytics to improve online formative quiz engagementen_US
dc.typeArticleen_US
dc.source.journaltitleIrish Journal of Technology Enhanced Learningen_US
dc.source.volume3en_US
dc.source.issue1en_US
dc.source.beginpage28en_US
dc.source.endpage41en_US
html.description.abstractThis paper describes the findings of a small research study, conducted in a third-level online college, using learning analytics to examine the implementation of formative quizzes in a blended-learning post-primary teaching programme. Using historic data captured in a virtual learning environment (VLE) for a single cohort (n=126), patterns of use of formative knowledge check quizzes were analysed with particular regard to completion and retakes. Three hypotheses were tested using appropriate data correlation methods. Completion levels for quizzes were correlated with completion levels for other online tasks to see whether an increase in online task workload resulted in a decrease in quiz engagement. A second test compared levels of quiz re-attempts with completion levels for other online tasks, to see whether different patterns of quiz attempts were linked to different levels of online engagement. Finally, the data was analysed to ascertain the relationship, if any, between student gender and different patterns of quiz attempts, to see if gender might be a factor in quiz engagement. The findings of this study suggested that the decrease in engagement with quizzes was not significantly related to online task workload increase, and that there is a relationship between quiz re-attempts and higher module engagement. The findings are presented and discussed in the context of student engagement with online formative strategies in humanities-based subjects. Options are considered for enhancing engagement and formative value in this teaching and learning context; the potential of learning analytics in informing evidence-based improvements in digital learning design is also assessed.en_US


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