LEAD Graduate School & Research Network

Babette Bühler

Babette Bühler

I conduct research at the intersection between education research, psychology and computer science. Currently, my research focuses on the automated detection of mind-wandering in learning situations, employing computer vision, eye tracking and machine learning methods. I am interested in the conditions under which mind-wandering occurs, its different manifestations, and its impact on academic achievement.

 

LEAD offers me the great opportunity to learn from colleagues from different disciplines and backgrounds. The structured program and events like the LEAD retreats provide the perfect framework to discuss my work and get valuable feedback.

Publications

  • Bühler, B., Hou, R., Bozkir, E., Goldberg, P., Gerjets, P., Trautwein, U., & Kasneci, E. (2023). Automated Hand-Raising Detection in Classroom Videos: A View-Invariant and Occlusion-Robust Machine Learning Approach. In International Conference on Artificial Intelligence in Education (pp. 102-113). Cham: Springer Nature Switzerland. 2023

  • Fuhl, W., Severitt, B., Castner, N., Bühler, B., Meyer, J., Weber, D., ... & Kasneci, E. (2023). Watch out for those bananas! Gaze Based Mario Kart Performance Classification. In Proceedings of the 2023 Symposium on Eye Tracking Research and Applications (pp. 1-2).

  • Bühler, B., Möhring, K., & Weiland, A. P. (2022). Assessing dissimilarity of employment history information from survey and administrative data using sequence analysis techniques. Quality & Quantity, 56(6), 4747-4774.

  • Bühler, B. & Paulheim, H.(2021). Web table classification based on visual features. In International Conference on Web Engineering (pp. 185-200). Cham: Springer International Publishing. 2/4

Conference Presentations

  • Bühler, B., Bozkir, E., Goldberg, P., Gerjets, P., Trautwein, U., & Kasneci, E. (2023, August 22 – 26) Investigating student’s gaze synchrony in the classroom as indicator for student engagement. European Association for Research on Learning and Instruction (EARLI) Thessaloniki. Greece. [Talk]

  • Bühler, B., Hou, R., Bozkir, E., Goldberg, P., Gerjets, P., Trautwein, U., & Kasneci, E. (2023, August 22 – 26) Automated hand-raising detection in classroom videos. European Association for Research on Learning and Instruction (EARLI) Thessaloniki. Greece. [Talk]

  • Bühler, B., Bozkir, E., Goldberg, P., Gerjets, P., Trautwein, U., & Kasneci, E. (2023, Julit 06 – 08) Multimodal Fine-Grained Mind Wandering Assessment During Online Learning. Current Issues in Mind-Wandering Research – Theoretical Advances and New Empirical Findings . Heidelberg. Germany. [Talk]

  • Bühler, B., Bozkir, E., Goldberg, P., S ̈umer, ̈O., D’Mello, S., Gerjets, P., Trautwein, U., & Kasneci, E. (2022, August 30 – September 1). Video-based mind-wandering detection employing gaze features in temporal models during reading. European Association for Research on Learning and Instruction (EARLI). Special Interest Group (SIG 27): Online measures at the crossroad of ethical and methodological challenges. Southampton. United Kingdom. [Talk]

Supervisors

Curriculum Vitae

2017–2020
M.Sc. Data Science

University of Mannheim

02/2018–11/2020
Research Assistant, Chair in Macrosociology

University of Mannheim

10/2017–11/2019
Research Assistant

Mannheim Centre for European Social Research (MZES)

01/2019–05/2019
Semester Abroad

Université du Québec à Montréal, Canada

03/2017–08/2017
Intern

OTTO GmbH, Business Intelligence, Data Science

11/2016–01/2017
Intern

Institute for Employment Research (IAB)

2013–2016
B.A. Sociology

University of Mannheim

07/2015–04/2016
Student Assistant

GESIS - Leibniz-Institute for the Social Sciences, Mannheim

02/2015–06/2015
Semester Abroad

University of Utrecht, Netherlands