Learning analytics dashboard for motivation and performance

Open Access
Authors
Publication date 2020
Host editors
  • V. Kumar
  • C. Troussas
Book title Intelligent Tutoring Systems
Book subtitle 16th International Conference, ITS 2020, Athens, Greece, June 8–12, 2020 : proceedings
ISBN
  • 9783030496623
ISBN (electronic)
  • 9783030496630
Series Lecture Notes in Computer Science
Event 16th International Conference on Intelligent Tutoring Systems, ITS 2020
Pages (from-to) 411-419
Number of pages 9
Publisher Cham: Springer
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract

Deploying Learning Analytics that significantly improve learning outcomes remains a challenge. Motivation has been found to be related to academic achievement and is argued to play an essential role in efficient learning. We developed a Learning Analytics dashboard and designed an intervention that relies on goal orientation and social comparison. Subjects can see a prediction of their final grade in a course as well as how they perform in comparison to classmates with similar goal grades. Those with access to the dashboard ended up more motivated than those without access, outperformed their peers as the course progressed and achieved higher final grades. Our results indicate that learner-oriented dashboards are technically feasible and may have tangible benefits for learners.

Document type Conference contribution
Language English
Related dataset Learning Analytics Dashboard for Motivation and Performance
Published at https://doi.org/10.1007/978-3-030-49663-0_51
Other links https://www.scopus.com/pages/publications/85086265178
Downloads
Permalink to this page
Back