Dr. Michael Nickl

Office: Marsstraße 20-22
Room 264, 2nd floor
Phone: +49 - (0)89 - 289 - 25191
E-Mail: michael.nickl@tum.de
Office Hours: Monday to Friday on demand


Curriculum vitae

since 06/2023 Research Assistant at the Heinz Nixdorf Chair of Mathematics Education, Technical University of Munich
2020 - 2023 PhD, Friedl-Schöller Endowed Chair for Educational Psychology, Technical University of Munich
07/2020 First state exam for mathematics and physics education
2015 - 2020 Study of mathematics and physics education, Ludwig-Maximilians Universität, Munich


Research project

DigiProMIN Digitisation-related and digitally supported professionalization of STEM teachers

Research interests

  • Professionalization of pre- and in-service teachers
  • Assessment skills of mathematics teachers
  • Simulations and simulation-based learning
  • Learner support in digital learning environments, effective scaffolding
  • Adaptive learning environments
  • Mathematical proof skills of students


Nickl, M. (2023). Developing Effective Scaffolding for Future Mathematics Teachers’ Assessment Skills in Simulations: Towards Adaptivity [Dissertation, Technical University of Munich]. mediaTUM. https://mediatum.ub.tum.de/?id=1703341

Nickl, M., Sommerhoff, D., Böheim, R., Ufer, S., & Seidel, T. (2023). Fostering pre-service teachers' assessment skills in a video simulation: Differential effects of a utility value intervention and conceptual knowledge prompts. Zeitschrift für Pädagogische Psychologie. https://doi.org/10.1024/1010-0652/a000362 

Radkowitsch, A., Sommerhoff, D., Nickl, M., Codreanu, E., Ufer, S., & Seidel, T. (2023). Exploring the diagnostic process of pre-service teachers using a simulation – A latent profile approach. Teaching and Teacher Education, 130, 104172. https://doi.org/10.1016/j.tate.2023.104172

Sommerhoff, D., Codreanu, E., Nickl, M., Ufer, S., & Seidel, T. (2023). Pre-service teachers’ learning of diagnostic skills in a video-based simulation: Effects of conceptual vs. interconnecting prompts on judgment accuracy and the diagnostic process. Learning and Instruction, 101689. https://doi.org/10.1016/j.learninstruc.2022.101689

Nickl, M., Huber, S. A., Sommerhoff, D., Codreanu, E., Ufer, S., & Seidel, T. (2022). Video-based simulations in teacher education: The role of learner characteristics as capacities for positive learning experiences and high performance. International Journal of Educational Technology in Higher Education, 19, Article 45, 1–24. https://doi.org/10.1186/s41239-022-00351-9