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Evaluating a Teaching Analytics Dashboard in Adult Education: Lessons Learned
University West, School of Business, Economics and IT, Divison of Informatics. (KAMAIL)ORCID iD: 0000-0001-7034-2143
2024 (English)In: Technology Enhanced Learning forInclusive and Equitable Quality Education: 19th European Conference on Technology Enhanced Learning, EC-TEL 2024, Krems, Austria, September 16–20, 2024 Proceedings, Part II / [ed] Rafael Ferreira Mello, Nikol Rummel, Ioana Jivet, Gerti Pishtari & José A. Ruipérez Valiente, Springer, 2024, p. 235-240Conference paper, Published paper (Refereed)
Abstract [en]

Continuously monitoring student progress is predictive of student academic success but challenging for teachers in online courses. Although several teaching analytics dashboards (TADs) were developed, a lack of evidence of their impact and effectiveness on teaching and learning remains. Among the reasons stressed in earlier research, scholars pointed out: limited engagement of teachers in the design and development process of TADs, their busy schedules, their lack of data literacy, and neglect of pedagogical aspects. This paper presents a TAD which was developed to address the existing challenges, and its evaluation in higher education courses. Task-Technology Fit theory was used to evaluate teachers’ use of the TAD.

The results show that the real-time TAD enables teachers to make in-time interventions to motivate low-performance students and to make changes in learning design while the course was occurring. Allowing teachers to use the TAD in running courses provides evidence of the tool use in a real-world context, which has been recognized as lacking in the field. Practical lessons are indicated for both the development process and the dashboard itself.

Place, publisher, year, edition, pages
Springer, 2024. p. 235-240
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349
Keywords [en]
teaching analytics dashboard, TADs, Task-Technology Fit Theory
National Category
Educational Sciences
Research subject
Work Integrated Learning
Identifiers
URN: urn:nbn:se:hv:diva-22631DOI: 10.1007/978-3-031-72312-4_33Scopus ID: 2-s2.0-85205283659ISBN: 978-3-031-72311-7 (print)ISBN: 978-3-031-72312-4 (electronic)OAI: oai:DiVA.org:hv-22631DiVA, id: diva2:1912057
Conference
19th European Conference on Technology Enhanced Learning, EC-TEL 2024, Krems, Austria, September 16–20, 2024
Available from: 2024-11-11 Created: 2024-11-11 Last updated: 2025-09-30Bibliographically approved

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Nguyen, Cat Buu Ngoc

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CiteExportLink to record
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