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2234. Where am I in the course? Student-facing dashboard for Conceptual Modeling Education
Invited abstract in session WA-27: Learning Analytics using Mathematical Optimization and XAI, stream Mathematical Optimization for XAI.
Wednesday, 8:30-10:00Room: 047 (building: 208)
Authors (first author is the speaker)
| 1. | Elena Tiukhova
|
| Faculty of Economics and Business, Research Center for Information Systems Engineering (LIRIS), KU Leuven | |
| 2. | Charlotte Verbruggen
|
| KU Leuven | |
| 3. | Tinne De Laet
|
| KU Leuven | |
| 4. | Bart Baesens
|
| Decision Sciences and Information Mangement, K.U.Leuven | |
| 5. | Monique Snoeck
|
| KU Leuven |
Abstract
Modern technologies make it possible to collect and analyze large amounts of educational data. Learning Analytics (LA) uses this data to improve learning. To deliver LA insights to the educational stakeholders, Learning Analytics Dashboards (LADs) aggregate learning metrics into a single screen using a variety of visualization techniques.
A learner must be provided with a frame of reference for proper data interpretation, with peers being the most popular choice in modern LADs. However, it carries the risk of negatively impacting learners by encouraging competition rather than mastery of knowledge, thereby widening the gap between high-performing and struggling learners. This problem is exacerbated in conceptual modeling education, where mastery orientation is crucial to learn to solve complex task of modeling.
This research presents a student-facing LAD, grounded in achievement goal orientation theory, with the primary goal of supporting mastery orientation (task completion/understanding). The LAD also supports performance goal orientation (social comparison) through an optional peer comparison feature. By monitoring dashboard usage, student activity, and academic performance, our study investigates (RQ1) the added value of the LAD to student activity and performance in conceptual modeling education, (RQ2) the relationship between dashboard usage and learning orientation, and (RQ3) the added value of the performance-oriented component to student activity and performance.
Keywords
- Analytics and Data Science
- Education and Distance Learning
- OR in Education
Status: accepted
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