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Fri, 22 Nov 2019 09:44:36 +0100
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International Workshop on Explainable Learning Analytics (XLA'20)  to be held during the the 10th Learning Analytics and Knowledge (LAK) Conference, 2020 in Frankfurt, Germany. <>



The aim of learning analytics (LA) is to turn educational data into insights, decisions, and actions to improve learning and teaching.  Many of the LA applications behave often as a black-box. The reasoning of the provided insights, decisions, and actions are often not explained to the end-user, and this can lead to trust issues when interventions, feedback, and recommendations fail. Opening the black-box of LA to the user, in a user-tailored fashion is the first step towards providing transparent insights, decisions, and actions. Approaches for obtaining transparency are key to improve the trustworthiness, impact and adoption of LA systems at scale.

The aim of the XLA workshop is to advance research and practices around transparent LA. To this end, we welcome contributions of researchers and practitioners around the general theme of explainable insights, decisions, and actions in LA. Topics of interest include (but are not limited to):

- Theories and methods for transparent insights, interventions, feedback, and recommendations in LA
- Explanations for transparency in LA
- Visualizations for transparency in LA
- User involvement/control for transparency in LA
- Explainable user/learner modeling
- Methods to assess transparency and explainability in LA
- Impact of explainable LA on the stakeholders (e.g. motivation, engagement and adoption)
- Case studies demonstrating the need for explainable LA


- Submission opens: 1 Nov 2019
- Submission deadline: 15 Dec 2019
- Notification of acceptance: 5 Jan 2020

The accepted papers will be published in the Companion Proceedings of the LAK 2020 conference.


Tom Broos, KU Leuven - Belgium
Mohamed Amine Chatti, University of Duisburg-Essen, Germany
Robin De Croon, KU Leuven - Belgium
Tinne De Laet, KU Leuven - Belgium
Martijn Millecamp, KU Leuven - Belgium
Arham Muslim, UDE, University of Duisburg-Essen, Germany
Katrien Verbert, KU Leuven - Belgium

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