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Technical University of Munich

Dr. Babette Bühler

Postdoctoral Researcher

Room: 237

Office Hours: Nach Vereinbarung.

Tel.: +49 89 289 24342

E-Mail: babette.buehler[at]tum[dot]de

Career Development

I am a postdoctoral researcher at the Chair of Human-Centered Technologies for Learning at the Technical University of Munich. I hold a Dr. rer. nat. in Computer Science from the University of Tübingen, where I conducted my research at the Hector Research Institute of Education Sciences and Psychology and am a member of the LEAD Graduate School & Research Network.

My dissertation focused on the multimodal assessment of attention-related processes during learning, combining machine learning with eye tracking, video, and physiological data. In 2023, I completed a research stay at the Emotive Computing Lab (University of Colorado Boulder) with Prof. Sidney D’Mello, where I explored the generalizability of video-based mind wandering detection. I hold a Master’s degree in Data Science with a focus on Machine Learning and a Bachelor’s degree in Sociology, both from the University of Mannheim. During my studies, I worked at the Mannheim Centre for European Social Research (MZES), the Chair of Macrosociology, and GESIS – Leibniz Institute for the Social Sciences.

Research Interests

My research lies at the intersection of artificial intelligence and research on education, with a focus on multimodal machine learning to assess cognitive and behavioral processes during learning. I develop AI-powered educational tools that integrate eye tracking, facial video, physiological signals, and text to model attention, engagement, and instructional quality and offer targeted, adaptive support.

Key topics include:

  • Multimodal detection of aware and unaware mind wandering in online learning environments
  • Adaptive, attention-aware learning technologies and real-time interventions
  • Automated assessment of classroom dynamics and collaborative learning , such as hand-raising, gaze interaction and discourse quality
  • AI literacy and human-centered LLM-based feedback systems for K-12 learners

For more information, please refer to Google Scholar for current publications. You can also find me on Twitter, and Linkedin.

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