Hector Research Institute of Education Sciences and Psychology

Philipp Stark

As a research associate at the Hector Institute, I conduct interdisciplinary research at the interface between computer science and educational research. My educational background covers empirical studies, mathematics, cognitive science, machine learning, and computer science in general. My transition into the field of education is driven by my deep conviction that education is the linchpin for profound societal change. With regard to the digital transformation of society, I firmly believe that interdisciplinary research in these areas has the potential to contribute to the improvement of society and provide solutions to pressing current problems.

In my dissertation, I research how visual attention can be used to investigate cognitive processes and professional behavior in virtual learning and teaching environments. More generally, my research covers the use of digital tools, including virtual reality, eye-tracking, or large language models, to assess, analyze and model teaching and learning processes. My research methods include frequentist, probabilistic, and machine learning techniques applied in the field digital education.

 

Publications

Journal Articles

  • Hasenbein, L., Stark, P., Trautwein, U., Gao, H., Kasneci, E., & Göllner, R. (2023). Investigating social comparison behaviour in an immersive virtual reality classroom based on eye-movement data. Scientific Reports, 13. Article 14672. https://doi.org/10.1038/s41598-023-41704-2 
  • Philipp Stark, Tobias Appel, Milo J. Olbrich, and Enkelejda Kasneci. 2023. Pupil Diameter during Counting Tasks as Potential Baseline for Virtual Reality Experiments. In Proceedings of the 2023 Symposium on Eye Tracking Research and Applications (ETRA '23). Association for Computing Machinery, New York, NY, USA, Article 17,
    1–7. https://doi.org/10.1145/3588015.3588414 
  • Hasenbein, L., Stark, P., Trautwein, U., Muller Queiroz, A. C., Bailenson, J., Hahn, J.-U., & Göllner, R. (2022). Learning with simulated virtual classmates: Effects of social-related configurations on students’ visual attention and learning experiences in an immersive virtual reality classroom. Computers in Human Behavior, 107282. https://doi.org/10.1016/j.chb.2022.107282
  • Bozkir, E., Stark, P., Gao, H., Hasenbein, L., Hahn, J.-U., Kasneci, E., & Göllner, R. (2021). Exploiting Object-of-Interest Information to Understand Attention in VR Classrooms. 2021 IEEE Virtual Reality and 3D User Interfaces (VR), 597–605. https://doi.org/10.1109/VR50410.2021.00085

Curriculum Vitae

Since 11/2020
Doctoral Candidate at the Hector Research Institute of Education Sciences and Psychology

University of Tübingen

Since 09/2020
Associated Member at the LEAD Graduate School & Research Network

University of Tübingen

2018-2020
M.Sc. Cognitive Science

University of Tübingen

2019-2020
Academic Tutor: Mathematics for Computer Science

University of Tübingen

2017-2019
Research Assistant

Leibniz-Institut für Wissensmedien

2013-2018
B.Sc. Mathematics

University of Tübingen

2016-2017
Semester Abroad

University of Manchester

2016
Summer School

University of North Carolina

2014-2015
Research Assistant Department of Media Science

University of Tübingen

2011-2016
B.A. Media Science/Politics

University of Tübingen