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University of Regensburg
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Prof Dr Sven Hilbert

Prof Dr Sven Hilbert has held the Chair of Educational Data Science at the University of Regensburg since 2023. He is vice dean of the Faculty of Human Sciences (external link, opens in a new window), spokesperson for the Forschungskolleg (external link, opens in a new window) and scientific director of the Centre for University and Academic Teaching. His research focuses on machine learning, the development and implementation of statistical methods in the educational and social sciences, and the measurement and modelling of cognitive constructs.

ORCID (external link, opens in a new window) - Google Scholar (external link, opens in a new window) - ResearchGate (external link, opens in a new window) - GitHub (external link, opens in a new window)

Academic career

  • since 2023 - Chair of Educational Data Science, University of Regensburg
  • 2017 - 2023 - Professorship for Methods of Empirical Educational Research, University of Regensburg
  • 2016 - 2017 - Substitute professorship, Methods of empirical educational research, University of Regensburg
  • 2017 - Habilitation, Ludwig-Maximilians-University, Munich
  • 2015 - 2016 - Research associate, Chair of Psychological Diagnostics and Methodology, Ludwig Maximilian University, Munich
  • 2014 - 2016 - Master's programme in Statistics (Degree: Master of Science), Ludwig-Maximilians-University, Munich
  • 2014 - 2015 - Substitute professorship, Chair of Psychological Methodology, Humboldt University of Berlin
  • 2011 - 2014 - Research associate, Chair of Psychological Methodology and Diagnostics, Ludwig-Maximilians-University, Munich
  • 2011 - Research associate, Chair of Psychological Diagnostics, Karl-Franzens University, Graz
  • 2011 - Research associate, Humboldt-Innovation GmbH, Berlin
  • 2010 - 2013 - Doctorate in Psychology, Ludwig-Maximilians-University, Munich
  • 2008 - 2010 - Master's Programme Neuro-Cognitive Psychology (Degree: Master of Science), Ludwig-Maximilians-University, Munich
  • 2007 - 2008 - Psychology Licence 3, Université de Nantes
  • 2005 - 2010 - Psychology, (Degree: Diploma) Ludwig-Maximilians-University, Munich

Teaching

Prof Dr Sven Hilbert regularly offers courses on the following topics:

  • Research colloquia for doctoral and post-doctoral students
  • Fundamentals of statistics
  • Advanced statistics
  • Statistical analyses with R
  • Machine Learning

The courses in the current semester can be found on the campus portal (external link, opens in a new window). More information about the courses of the chair can be found under Teaching.

Research

  • Psychometrics
  • Machine Learning
  • Latent modelling
  • Log data analysis

Selected publications

Kraus, E., Pargent, F., Hilbert, S. & Augustin, T. (2025). Introducing the Treatment Decision Framework (TreaDeF) - A Decision Theoretic Approach to Using Evaluation Study Data to Inform Individual Treatment Decisions. Collabra: Psychology, 11(1).


Steib, N., Büchter, T., Eichler, A., Binder, K., Krauss, S., Böcherer-Linder, K., Vogel, M. & Hilbert, S. (2025). How to teach Bayesian reasoning: An empirical study comparing four different probability training courses. Learning and Instruction, 95, 102032.


Böhme, R., Coors, S., Munser-Kiefer, M. & Hilbert, S. (2024). Machine Learning for Spelling Acquisition: How Accurate is the Prediction of Specific Spelling Errors in German Primary School Students? Computers & Education: Artificial Intelligence, 6, 100233.


Lindl, A. & Hilbert, S. (2023). Modelling, structure and development of domain-specific professional knowledge of Latin teachers. Teaching and Teacher Education,134, 104262.


Himi, S., Stadler, M., von Bastian, C., Bühner, M. & Hilbert, S. (2022). Limits of Near Transfer: Content- and Operation-Specific Effects of Working Memory Training. Journal of Experimental Psychology: General.


Hilbert, S., Coors, S., Kraus, E. B., Bischl, B., Frei, M., Lindl, A., ..., & Stachl, C. (2021). Machine Learning for the Educational Sciences. Review of Education, 9, e3310.


Hilbert, S., Pargent, F., Kraus, E., Naumann, F., Eichhorn, K., Ungar, P. & Bühner, M. (2020). What's the measure? An empirical investigation of self-ratings on response scales. International Journal of Social Research Methodology, 1-20.


(8)Heene, M., Hilbert, S., Draxler, C., Ziegler, M. & Bühner, M. (2011). Masking Misfit in Confirmatory Factor Analysis by Increasing Unique Variances: A Cautionary Note on the Usefulness of Cutoff Values of Fit Indices. Psychological Methods, 16(3), 319-336.

The complete list of publications is available here. (opens in a new window). (This PDF is not accessible)

Lectures

Prof. Dr. Sven Hilbert

Professor

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