Dr. Babette Bühler

Career Development

I am a postdoctoral researcher at the chair of Human-Centered Technologies for Learning at the School of Social Sciences and Technology. I received my PhD in Computer Science from the University of Tübingen, working at the Hector Institute for Education Research and Psychology. My dissertation revolved around the multi-modal assessment of attention-related processes during learning. In March 2023, I spent a research visit in the lab of Sidney D'Mello at the University of Colorado, Boulder, where I investigated the generalizability of video-based detection of mind wandering during learning.

I completed my Master's in Data Science, focusing on Machine Learning at the University of Mannheim in 2020. Before that, I received my Bachelor's in Sociology, with a focus on empirical social research, at the University of Mannheim in 2016. During my studies, I worked as a research assistant at the Mannheim Center for European Social Research (MZES), the Chair of Macrosociology, and the GESIS - Leibniz Institute for the Social Sciences.

Research Interests

My research is centered on utilizing machine learning to comprehensively assess learning-related processes through multi-modal data analysis. This involves integrating diverse data streams, including eye tracking, physiological data, and video, to gain insights into cognitive processes and learning behaviors. Specifically, I focus on aware and unaware mind wandering detection in remote learning settings, real-time interventions in attention-aware learning technology, and the assessment of classroom dynamics (i.e., hand-raising detection and teaching quality assessment).

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