A Current Overview of the Use of Learning Analytics Dashboards

Author:

Masiello Italo1ORCID,Mohseni Zeynab (Artemis)1ORCID,Palma Francis2,Nordmark Susanna1ORCID,Augustsson Hanna3ORCID,Rundquist Rebecka4ORCID

Affiliation:

1. Department of Computer Science and Media Technology, Linnaeus University, 352 52 Växjö, Sweden

2. Faculty of Computer Science, University of New Brunswick, Fredericton, NB E3B 5A3, Canada

3. Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, 171 77 Solna, Sweden

4. Department of Pedagogy and Learning, Linnaeus University, 352 52 Växjö, Sweden

Abstract

The promise of Learning Analytics Dashboards in education is to collect, analyze, and visualize data with the ultimate ambition of improving students’ learning. Our overview of the latest systematic reviews on the topic shows a number of research trends: learning analytics research is growing rapidly; it brings to the front inequality and inclusiveness measures; it reveals an unclear path to data ownership and privacy; it provides predictions which are not clearly translated into pedagogical actions; and the possibility of self-regulated learning and game-based learning are not capitalized upon. However, as learning analytics research progresses, greater opportunities lie ahead, and a better integration between information science and learning sciences can bring added value of learning analytics dashboards in education.

Funder

Swedish Research Council for Health, Working Life and Welfare

Växjö Kommun

Publisher

MDPI AG

Subject

Public Administration,Developmental and Educational Psychology,Education,Computer Science Applications,Computer Science (miscellaneous),Physical Therapy, Sports Therapy and Rehabilitation

Reference51 articles.

1. Siemens, G., and Baker, R.S.J.D. (May, January 29). Learning analytics and educational data mining: Towards communication and collaboration. Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, Vancouver, BC, Canada.

2. Sahin, M., and Ifenthaler, D. (2021). Visualizations and Dashboards for Learning Analytics, Springer International Publishing. Advances in Analytics for Learning and Teaching.

3. Mohseni, Z., Martins, R.M., and Masiello, I. (2022, March 22). SAVis: Learning Analytics Dashboard with Interactive Visualization and Machine Learning. Nordic Learning Analytics (Summer) Institute 2021, Stockholm. Available online: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-107549.

4. Mohseni, Z., Martins, R.M., and Masiello, I. (2022). SBGTool v2.0: An Empirical Study on a Similarity-Based Grouping Tool for Students’ Learning Outcomes. Data, 7.

5. Chen, L., Lu, M., Goda, Y., and Yamada, M. (2019). Design of Learning Analytics Dashboard Supporting Metacognition, International Association for the Development of the Information Society.

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