Publikation
Sensor-Based Learning Analytics for Mentoring in Higher Education: An Example in the Context of the AI Act
David Buschhüter; Norbert Pengel
In: Companion Proceedings of the 15th International Learning Analytics and Knowledge Conference (LAK'25). International Conference on Learning Analytics & Knowledge (LAK-2025), Expanding the Horizons of Learning Analytics, located at LAK-2025, March 3-7, Dublin, Ireland, Pages 162-164, ISBN 979-8-4007-0701-8, ACM, New York, 3/2025.
Zusammenfassung
Given the European AI Act’s current state regarding affective computing technologies in educational institutions, there is a need for good practice examples of applications that could be exempt from prohibition. We aim to provide such an example for the context of AI-supported mentoring that uses the strength of sensor-based analytics to notify students of candidate incidents. These can serve as a starting point for a dialogue-based self-reflection on their emotional state and subsequent mentoring support. Thereby, the mentee is given the agency to interpret his/her emotions. By decoupling the incident detection system from the emotion interpretation, we reduce invasiveness and increase validity. We discuss the application in the context of the AI Act and argue for research focusing on sensorbased analytics that empower learners.