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dc.contributor.authorKuzminykh, I
dc.contributor.authorGhita, B
dc.contributor.authorXiao, H
dc.date.accessioned2022-11-07T11:32:21Z
dc.date.available2022-11-07T11:32:21Z
dc.date.issued2021-08-21
dc.identifier.isbn9781450390156
dc.identifier.urihttp://hdl.handle.net/10026.1/19860
dc.description.abstract

In recent years, online education has become a mature, recognised, and heavily used alternative for delivering higher education programmes. Beyond its benefits, online education faces a number of challenges, some of which relate to its engagement and impact on student performance. To support the ongoing research into the complex relationships developed, this research investigated the relationship between engagement and academic performance for students that undertake standalone online programmes. The study uses as input the module content engagement data, as collected from an e-learning platform, including the number of content views, forum posts, completed assignments, and watching of videos. The study used Pearson correlation to evaluate the relationship between learner engagement and academic performance. The analysis revealed that the student engagement was positively correlated to the student performance both for individual modules as well as across the cohort. In addition, correlation between initial engagement with individual subjects and the overall engagement was also strong, indicating both variables lead to improved academic results.

dc.format.extent97-101
dc.language.isoen
dc.publisherACM
dc.titleThe Relationship Between Student Engagement and Academic Performance in Online Education
dc.typeconference
dc.typeConference Proceeding
plymouth.conference-nameICSET 2021: 2021 5th International Conference on E-Society, E-Education and E-Technology
plymouth.publication-statusPublished
plymouth.journal2021 5th International Conference on E-Society, E-Education and E-Technology
dc.identifier.doi10.1145/3485768.3485796
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1145/3485768.3485796
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeConference Paper/Proceeding/Abstract


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