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A qualitative evaluation of a learning dashboard to support advisor-student dialogues

Published: 07 March 2018 Publication History

Abstract

This paper presents an evaluation of a learning dashboard that supports the dialogue between a student and a study advisor. The dashboard was designed, developed, and evaluated in collaboration with study advisers. To ensure scalability to other contexts, the dashboard uses data that is commonly available at any higher education institute. It visualizes the grades of the student, an overview of the progress through the year, his/her position in comparison with peers, sliders to plan the next years and a prediction of the length of the bachelor program for this student in years based on historic data. The dashboard was deployed at KU Leuven, Belgium and used in September 2017 to support 224 sessions between students and study advisers. We observed twenty of these conversations. We also collected feedback from 101 students with questionnaires. Results of our observations indicate that the dashboard primarily triggers insights at the beginning of a conversation. The number of insights and the level of these insights (factual, interpretative and reflective) depends on the context of the conversation. Most insights were triggered in conversations with students doubting to continue the program, indicating that our dashboard is useful to support difficult decision-making processes.

References

[1]
K. E. Arnold and M. D. Pistilli. Course signals at purdue: Using learning analytics to increase student success. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, pages 267--270. ACM, 2012.
[2]
R. Bodily and K. Verbert. Review of research on student-facing learning analytics dashboards and educational recommender systems. IEEE Transactions on Learning Technologies, pages 1--14, 2017.
[3]
T. Broos, L. Peeters, K. Verbert, C. Van Soom, G. Langie, and T. De Laet. Dashboard for actionable feedback on learning skills: Scalability and usefulness. In International Conference on Learning and Collaboration Technologies, pages 229--241. Springer, 2017.
[4]
S. Charleer, A. V. Moere, J. Klerkx, K. Verbert, and T. De Laet. Learning analytics dashboards to support adviser-student dialogue. IEEE Transactions on Learning Technologies, pages 1--12, 2017.
[5]
S. Claes and A. V. Moere. The role of tangible interaction in exploring information on public visualization displays. In Proceedings of the 4th International Symposium on Pervasive Displays, pages 201--207. ACM, 2015.
[6]
M. King. Co-tutor: a relationship management system to enable staff to monitor students' engagement and provide support to at risk students. Compendium of effective practice in higher education retention and success, pages 121--124, 2012.
[7]
M. Scheffel, H. Drachsler, C. Toisoul, S. Ternier, and M. Specht. The proof of the pudding: examining validity and reliability of the evaluation framework for learning analytics. In European Conference on Technology Enhanced Learning, pages 194--208. Springer, 2017.
[8]
R. Stoneham. Failing students need big data and learning analytics: Hype or reality? Compass: Journal of Learning and Teaching, 7(11), 2015.
[9]
K. Verbert, E. Duval, J. Klerkx, S. Govaerts, and J. L. Santos. Learning analytics dashboard applications. American Behavioral Scientist, 57(10):1500--1509, 2013.
[10]
K. Verbert, S. Govaerts, E. Duval, J. Santos, F. Van Assche, G. Parra, and J. Klerkx. Learning dashboards: an overview and future research opportunities. Personal and Ubiquitous Computing, 18(6):1499--1514, 2014.

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cover image ACM Other conferences
LAK '18: Proceedings of the 8th International Conference on Learning Analytics and Knowledge
March 2018
489 pages
ISBN:9781450364003
DOI:10.1145/3170358
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 March 2018

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Author Tags

  1. information visualization
  2. insights
  3. learning analytics dashboards
  4. learning technologies

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  • Short-paper

Funding Sources

  • European Union

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LAK '18
LAK '18: International Conference on Learning Analytics and Knowledge
March 7 - 9, 2018
New South Wales, Sydney, Australia

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LAK '18 Paper Acceptance Rate 35 of 115 submissions, 30%;
Overall Acceptance Rate 236 of 782 submissions, 30%

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Cited By

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  • (2024)Improving Grading Fairness and Transparency with Decentralized Collaborative Peer AssessmentProceedings of the ACM on Human-Computer Interaction10.1145/36373508:CSCW1(1-24)Online publication date: 26-Apr-2024
  • (2024)A Systematic Review of Studies on Decision-Making Systems for Teaching and Learning in K-12Technology Enhanced Learning for Inclusive and Equitable Quality Education10.1007/978-3-031-72315-5_4(49-63)Online publication date: 16-Sep-2024
  • (2023)An Intelligent Recommendation System for Automating Academic Advising Based on Curriculum Analysis and Performance ModelingMathematics10.3390/math1105109811:5(1098)Online publication date: 22-Feb-2023
  • (2023)Beyond Numbers: Exploring the Qualitative Dimension of a Learning Analytics Dashboard’s UsefulnessProceedings of the 18th Latin American Conference on Learning Technologies (LACLO 2023)10.1007/978-981-99-7353-8_7(75-85)Online publication date: 17-Oct-2023
  • (2023)Learning Dashboards for Academic Advising in PracticePracticable Learning Analytics10.1007/978-3-031-27646-0_4(55-75)Online publication date: 31-Mar-2023
  • (2022)A Review of Learning Analytics Dashboard Research in Higher Education: Implications for Justice, Equity, Diversity, and InclusionLAK22: 12th International Learning Analytics and Knowledge Conference10.1145/3506860.3506900(260-270)Online publication date: 21-Mar-2022
  • (2021)Is this Degree for Me?Exploring computing students’ study decisionsProceedings of the 23rd Australasian Computing Education Conference10.1145/3441636.3442310(96-105)Online publication date: 2-Feb-2021
  • (2021)Early warning systems for more effective student counselling in higher education: Evidence from a Dutch field experimentHigher Education Quarterly10.1111/hequ.1229876:1(131-152)Online publication date: 9-Feb-2021
  • (2021)Architectural Design for the Implementation of Learning Analytics: Case Study at Salesian Polytechnic UniversityAdvances in Human Factors in Training, Education, and Learning Sciences10.1007/978-3-030-80000-0_31(260-268)Online publication date: 27-Jun-2021
  • (2020)Dashboard for the E-Assessment and E-Feedback System for Aerospace Engineering Examination Preparation in SingaporeEarly Warning Systems and Targeted Interventions for Student Success in Online Courses10.4018/978-1-7998-5074-8.ch004(64-89)Online publication date: 2020
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