Large Language Models and response bias (e.g., sycophancy)
Learning mathematics in intelligent tutoring systems
Adaptive learning systems
Themen für Abschlussarbeiten (Bachelor- und Masterarbeit)
KI in der Bildung: Wie gut erkennen large language models Mythen? Was macht uns neugierig? Wie koennen wir Lernende im Mathematikunterricht mit digitalen Lernplattformen fördern?
Publikationen
Richter, E., Spitzer, M. W. H., Morgan, A., Frede, L., Weidlich, J., & Moeller, K. (2025). Large Language Models Outperform Humans in Identifying Neuromyths but Show Sycophantic Behavior in Applied Contexts. Trends in Neuroscience and Education, 100255. https://doi.org/10.1016/j.tine.2025.100255
Spitzer, M. W. H., Langsdorf, L. E., Richter, E., & Schubert, T. (2024). Low-performing students benefit mostly from open-book examinations. Computers and Education Open, 8, 100239. https://doi.org/10.1016/j.caeo.2024.100239
Spitzer, M. W. H., Ruiz-Garcia, M., Strittmatter, Y., Richter, E., Gutsfeld, R., & Moeller, K. (2024). Achievements in arithmetic and measurement units predict fraction understanding in an additive and linear manner. Cognitive Development, 72, 101517. https://doi.org/10.1016/j.cogdev.2024.101517
