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Thu, 27 Jun 2019 09:35:26 +0200
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Apologies for cross-postings

As we received multiple requests to extend the deadline of the workshop, we have extended the deadline for the submission of papers to the XLA workshop until 7 July 2019 12 pm CET.

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CALL FOR PAPERS

XLA19: First workshop on generating explainable and actionable insights for learning analytics, organized at the 14th European conference on technology enhanced learning
https://wms.cs.kuleuven.be/cs/onderzoek/augment/XLA

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SCOPE

Currently, the Learning Analytics (LA) domain is maturing and often provides insights in, and recommendations of, learning and teaching behaviors. Nevertheless, these insights by itself are not enough. Before the insights can actually impact learning, they have to be interpretable and actionable. To be interpretable, the outcomes of the data analysis, visualization, and/or algorithms have to be tailored to the end-users. While advanced visualization and/or machine learning techniques might create accurate and trustworthy insights and recommendations, they will not be per se trusted by the user. Opening the black-box of learning analytics to the user, in a user-tailored fashion is the first step towards obtaining interpretable insights and explainable recommendations. Approaches for obtaining transparency, trustworthiness, persuasiveness, and effectiveness are key.

The goal of our workshop is to build a strong research capacity around approaches to generate and explain actionable insights for learning analytics. The longer-term goal is to to advance the research and practices around the creation of actionable insights and explainable recommendations in the domain of Learning Analytics.

IMPORTANT DATES

July 7, 2019 Paper submission deadline
July 15, 2019 Notification of acceptance
September 17, 2019:  Workshop

SUBMISSIONS

Authors are invited to submit relevant work addressing one or more of the following topics:
- Explanations of recommendations
- Explanations of predictive systems
- User trust and confidence in learning analytics
- Visualisations and visual analytics techniques for learning
- Actionable insights for learning analytics
- User studies that assess the value of explanations
- The link between personal characteristics and the need for explanation
Papers should contain a significant amount of unpublished content and will be reviewed by at least two committee members. The main review criterium will be the relevance of the paper to the workshop. The paper needs to be in the LNCS format and will be published in CEUR Workshop proceedings. We will accept both full papers (10 or more  pages) and short papers (5-9 pages).

Organizers
Martijn Millecamp, KU Leuven - Belgium
Tom Broos, KU Leuven - Belgium
Robin De Croon, KU Leuven - Belgium
Katrien Verbert, KU Leuven - Belgium
Tinne De Laet, KU Leuven - Belgium
Xavier Ochoa, NYU - United States
Pedro José Muñoz Merino, UC3M - Spain
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