Pu­bli­ka­ti­o­nen

Students’ performance and typical errors in filling empty probabilistic visualizations with probabilities or frequencies

M. Rößner, K. Binder, C. Geier, S. Krauss, Educational Studies in Mathematics (2025).


Covariational reasoning in Bayesian situations

T. Büchter, A. Eichler, K. Böcherer-Linder, M. Vogel, K. Binder, S. Krauss, N. Steib, Educational Studies in Mathematics 115 (2024) 481–505.


How to teach Bayesian reasoning: An empirical study comparing four different probability training courses

N. Steib, T. Büchter, A. Eichler, K. Binder, S. Krauss, K. Böcherer-Linder, M. Vogel, S. Hilbert, Learning and Instruction 95 (2024).



Digital STACK tasks and exam results

A. Eichler, H. Floren, I. Garnelo Abellanas, M. Liebendörfer, R. Müller, M. Schürmann, A. Speer, in: INDRUM2024 PROCEEDINGS Fifth Conference of the International Network for Didactic Research in University Mathematics, Escola Univerist`aria Salesiana de Sarri`a – Univ. Aut`onoma de Barcelona and INDRUM, Barcelona, 2024.




On the asymptotics of wildly ramified local function field extensions

R. Müller, On the Asymptotics of Wildly Ramified Local Function Field Extensions, 2023.


Improving Diagnostic Efficiency with Frequency Double-Trees and Frequency Nets in Bayesian Reasoning

A.K. Kunzelmann, K. Binder, M.R. Fischer, M. Reincke, L.T. Braun, R. Schmidmaier, MDM Policy & Practice 7 (2022).



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