Cited by 32Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive LearningHigher Education Research Studies

Learning dashboards at scale: Early warning and overall first year experience

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Broos, Tom, Pinxten, Maarten, Delporte, Margaux, Verbert, Katrien, De Laet, Tinne·2020·Assessment & Evaluation in Higher Education

Abstract

In this study, we present a case study involving two self-service dashboards providing feedback on learning and study skills and on academic achievement. These dashboards were offered to first-year university students in several study programmes in Flanders, Belgium. Data for this study were collected using usage tracking (N = 2875) and a survey taken at the beginning of the second year before (N = 484) and after (N = 538) the introduction of the dashboards. We found that early dashboard usage is related to academic achievement later in the academic year and that students’ review of the feedback received in the first year improved. Although these results are modest in comparison to how high the bar is sometimes set for learning analytics applications, we argue that low-cost deployments of self-service dashboards are an interesting approach to start building experience with similar tools and to start paving the way for future developments.

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  1. Corrin, L., and P. de Barba. 2014. "Exploring students' interpretation of feedback delivered through learning analytics dashboards." In Proceedings of the ascilite 2014 conference, 629- 633.
  2. Dollár, A., and P. S. Steif. 2012. "Web-based statics course with learning dashboard for in- structors." Proceedings of computers and advanced technology in education (CATE 2012), Napoli, Italy .
  3. Leony, D., A. Pardo, L. de la Fuente Valentín, D. S. de Castro, and C. D. Kloos. 2012. "GLASS: a learning analytics visualization tool." In Proceedings of the 2nd international conference on learning analytics and knowledge, 162-163. ACM.
  4. Olivier, I., M. Lacante, and V. Briers. 2015. "A re-calibration of the LASSI norm scores for a Flemish educational context." Master's thesis, Katholieke Universiteit Leuven, Belgium.
  5. Rojas, I. G., R. M. C. García, and C. D. Kloos. 2011. "Orchestration and feedback in lab sessions: improvements in quick feedback provision." In European Conference on Technology Enhanced Learning, 424-429. Springer.
  6. Vanderoost, J., C. Van Soom, G. Langie, J. Van den Bossche, R. Callens, J. Vandewalle, and T. De Laet. 2015. "Engineering and science positioning tests in Flanders: powerful predictors for study success?" In Proceedings of the 43rd Annual SEFI Conference, 1-8.

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Authors
Broos, T., Pinxten, M., Delporte, M., Verbert, K., & De Laet, T.
Affiliations
  • KU Leuven (BE)
  • Faculty of Engineering Science, KU Leuven, Leuven, Belgium;
Corresponding author
Broos, Tom
Venue
Assessment & Evaluation in Higher Education
Published
2019-11-27
Volume
45
Issue
6
Pages
855-874
ISSN
  • 0260-2938 (ISSN-L)
  • 1469-297X
OpenAlex
W2990738880
Cited by
32
References
41
Citations by year
2026: 2 · 2025: 1 · 2024: 2 · 2023: 6 · 2022: 12 · 2021: 7 · 2020: 2
FWCI
5.68
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • Assessment & Evaluation in Higher Education (publishedVersion)
  • Lirias (submittedVersion, other-oa)
Funders
  • European Commission
  • Erasmus+ (562167-EPP-1-2015-1-BE-EPPKA3-PI-FORWARD)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Social Sciences › Education › Higher Education Research Studies
Keywords
learning analytics dashboards, first-year students, academic performance, study skills, early warning systems, low-cost deployment, learning analytics

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