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Conference Paper: Evaluation of a lightweight learning analytics tool in Moodle and edX: Preliminary results

TitleEvaluation of a lightweight learning analytics tool in Moodle and edX: Preliminary results
Authors
Keywordsevaluation
learning analytics tool
learning management system
general education
Issue Date2021
PublisherIEEE, Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000009
Citation
Proceedings of the 21st IEEE International Conference on Advanced Learning Technologies (ICALT), Tartu, Estonia, 12-15 July 2021, p. 157-159 How to Cite?
AbstractLearning analytics (LA) mines, analyzes and visualizes the data of students' learning behaviours on learning platforms such as Learning Management Systems (LMS), but few LA tools built are adaptable to multiple platforms or for general education courses. This study sets out to evaluate a lightweight LA tool implemented on Moodle and Open edX for monitoring students' learning progress. Survey data were collected from 156 students, supplemented by interview responses from 25 students and three instructors. Preliminary results show that a considerable portion of surveyed students used the LA tool and they held positive opinions on its efficacy in monitoring self-progress and the effectiveness of its visualizations for information delivery. Nonetheless, learners who did not use the LA tool raised concerns about it relying only on their online behaviours without considering their offline learning. Coupled with instructors' evaluation results, discussion and implications are presented.
Persistent Identifierhttp://hdl.handle.net/10722/305761
ISSN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHu, X-
dc.contributor.authorNG, TDJ-
dc.contributor.authorLei, CU-
dc.date.accessioned2021-10-20T10:13:57Z-
dc.date.available2021-10-20T10:13:57Z-
dc.date.issued2021-
dc.identifier.citationProceedings of the 21st IEEE International Conference on Advanced Learning Technologies (ICALT), Tartu, Estonia, 12-15 July 2021, p. 157-159-
dc.identifier.issn2161-3761-
dc.identifier.urihttp://hdl.handle.net/10722/305761-
dc.description.abstractLearning analytics (LA) mines, analyzes and visualizes the data of students' learning behaviours on learning platforms such as Learning Management Systems (LMS), but few LA tools built are adaptable to multiple platforms or for general education courses. This study sets out to evaluate a lightweight LA tool implemented on Moodle and Open edX for monitoring students' learning progress. Survey data were collected from 156 students, supplemented by interview responses from 25 students and three instructors. Preliminary results show that a considerable portion of surveyed students used the LA tool and they held positive opinions on its efficacy in monitoring self-progress and the effectiveness of its visualizations for information delivery. Nonetheless, learners who did not use the LA tool raised concerns about it relying only on their online behaviours without considering their offline learning. Coupled with instructors' evaluation results, discussion and implications are presented.-
dc.languageeng-
dc.publisherIEEE, Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000009-
dc.relation.ispartofInternational Conference on Advanced Learning Technologies (ICALT) Proceedings-
dc.rightsInternational Conference on Advanced Learning Technologies (ICALT) Proceedings. Copyright © IEEE, Computer Society.-
dc.rights©2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectevaluation-
dc.subjectlearning analytics tool-
dc.subjectlearning management system-
dc.subjectgeneral education-
dc.titleEvaluation of a lightweight learning analytics tool in Moodle and edX: Preliminary results-
dc.typeConference_Paper-
dc.identifier.emailHu, X: xiaoxhu@hku.hk-
dc.identifier.emailLei, CU: culei@hku.hk-
dc.identifier.authorityHu, X=rp01711-
dc.identifier.authorityLei, CU=rp01908-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICALT52272.2021.00054-
dc.identifier.scopuseid_2-s2.0-85114884691-
dc.identifier.hkuros327890-
dc.identifier.hkuros326828-
dc.identifier.spage157-
dc.identifier.epage159-
dc.identifier.isiWOS:000719352000047-
dc.publisher.placeUnited States-

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