Vol-4328
urn:nbn:de:0074-4328-x

Copyright © 2026 for the individual papers by the papers' authors. Copyright © 2026 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).



XAI-Ed 2026
Demystifying AI in Education and Learning Analytics through Explainability, Agency, and Transparency 2026


Proceedings of the Workshop on Demystifying AI in Education and Learning Analytics through Explainability, Agency, and Transparency (XAI-Ed 2026)
co-located with 16th International Conference on Learning Analytics & Knowledge (LAK 2026)

Bergen, Norway, April 27, 2026.


Edited by

Jakub Kuzilek, FernUniversität in Hagen, Germany
Hasan Abu-Rasheed, Goethe University Frankfurt, Germany

Programme committee

Jeroen Ooge, Utrecht University, Netherlands
Christian Weber, Universität Siegen, Germany
Hassan Khosravi, The University of Queensland, Australia
Juan D. Pinto, University of Illinois Urbana-Champaign, USA
Lea Cohausz, University of Mannheim, Germany
Luc Paquette, University of Illinois Urbana-Champaign, USA
Mutlu Cukurova, University College London, United Kingdom
Qianhui (Sophie) Liu, University of Illinois Urbana-Champaign, USA
Tanja Käser, EPFL, Switzerland
Vinitra Swamy, EPFL, Switzerland




Table of Contents


2026-10-14: submitted by Jakub Kuzilek, metadata incl. bibliographic data published under Creative Commons CC0
2026-11-13: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|