Philipp Stark

Werdegang

2011-2016 B.A. Media Science/Politics at the University of Tübingen

2013-2018 B.Sc. Mathematics at the University of Tübingen

2018-2020 M.Sc. Cognitive Science at the University of Tübingen

Since 2020 Doctoral Candidate in Computer Science at the University of Tübingen

Forschungsschwerpunkte

As a doctoral candidate, 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.