Hector Research Institute of Education Sciences and Psychology

Dr. Hannah Deininger

Hannah Deininger is a postdoctoral researcher at the Hector Research Institute of Education Sciences and Psychology at the University of Tübingen, where she conducts research at the intersection of psychology and computer science.

Research interests:

  • Individual differences in learning behavior, their causes, and their impact on learning outcomes
  • Modeling learning processes in digital learning environments
  • Analyzing multimodal log and behavioral data to investigate learning processes
  • Applying machine learning and explainable AI in the field of learning analytics
  • Theoretical grounding of learning analytics and conceptual foundations of data-driven models

Address

University of Tübingen
Hector Research Institute of Education Sciences and Psychology
Europastraße 6
72070 Tübingen 
Raum 308

Contact

07071/29-76524
hannah.deiningerspam prevention@uni-tuebingen.de



 

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Publications

Publications

  • Lavelle-Hill, R., Smith, G., Deininger, H., & Murayama, K. (2025). An explainable artificial intelligence handbook for psychologists: Methods, opportunities, and challenges. Psychological Methods.
  • Deininger, H., Parrisius, C., Lavelle-Hill, R., Meurers, D., Trautwein, U., Nagengast, B., & Kasneci, G. (2025, March). Who did what to succeed? individual differences in which learning behaviors are linked to achievement. In Proceedings of the 15th International Learning Analytics and Knowledge Conference (pp. 771-782).
  • Lee, M., Rudzewitz, B., Deininger, H., Eccles, J., Trautwein, U., & Fütterer, T. (2025). Tracing Engagement in Language Learning: A Multi-Source Approach to Performance and Predictors. PsychArchives. https://doi.org/10.23668/psycharchives.21233
  • Deininger, H., Pieronczyk, I., Parrisius, C., Plumley, R. D., Meurers, D., Kasneci, G., Nagengast, B., Trautwein, U., Greene, J. A., & Bernacki, M. L. (2025). Using theory-informed learning analytics to understand how homework behavior predicts achievement. Journal of Educational Psychology, 117(1), 12–37. https://doi.org/10.1037/edu0000906
  • Bühler, B., Bozkir, E., Goldberg, P., Deininger, H., D'Mello, S., Gerjets, P., ... & Kasneci, E. (2024). Temporal dynamics of meta-awareness of mind wandering during lecture viewing: Implications for learning and automated assessment using machine learning. Journal of Educational Psychology.
  • Bühler, B., Bozkir, E., Deininger, H., Goldberg, P., Gerjets, P., Trautwein, U., & Kasneci, E. (2024, November). Detecting Aware and Unaware Mind Wandering During Lecture Viewing: A Multimodal Machine Learning Approach Using Eye Tracking, Facial Videos and Physiological Data. In Proceedings of the 26th International Conference on Multimodal Interaction (pp. 244-253).
  • Bühler, B., Bozkir, E., Deininger, H., Gerjets, P., Trautwein, U., & Kasneci, E. (2024). On task and in sync: Examining the relationship between gaze synchrony and self-reported attention during video lecture learning. Proceedings of the ACM on Human-Computer Interaction, 8(ETRA), 1-18.
  • Deininger, H., Lavelle-Hill, R., Parrisius, C., Pieronczyk, I., Colling, L., Meurers, D., Trautwein, U., Nagengast, B., & Kasneci, G. (2023). Can You Solve This on the First Try?–Understanding Exercise Field Performance in an Intelligent Tutoring System. In International Conference on Artificial Intelligence in Education (pp. 565-576). Cham: Springer Nature Switzerland.
  • Rabold, J., Deininger, H., Siebers, M., & Schmid, U. (2020). Enriching visual with verbal explanations for relational concepts–combining LIME with Aleph. In Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I (pp. 180-192). Springer International Publishing.
  • Finzel, B., Deininger, H., & Schmid, U. (2018, May). From beliefs to intention: Mentoring as an approach to motivate female high school students to enrol in computer science studies. In Proceedings of the 4th Conference on Gender & IT (pp. 251-260).

Curriculum Vitae

Since 10/2021
Research Associate

Hector Research Institute of Education Sciences and Psychology, University of Tübingen

07/2025
Doctorate (PhD)

in Computer Science

01/2023 - 02/2023
Research Stay

under the supervision of Prof. Matt Bernacki and Prof. Jeff Greene

Since 04/2022
LEAD Member

LEAD Graduate School and Research Network

10/2019 - 10/2021
M.Sc. Psychology

University of Ulm

04/2017 - 09/2019
M.Sc. Computing in the Humanities (Field of study: Applied Computer Science)

Otto-Friedrich-University Bamberg

10/2013 - 03/2017
B.Sc. Psychology

Otto-Friedrich-University Bamberg