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23 Publications
2025 | Journal Article | LibreCat-ID: 59438
M. Rößner, K. Binder, C. Geier, and S. Krauss, “Students’ performance and typical errors in filling empty probabilistic visualizations with probabilities or frequencies,” Educational Studies in Mathematics, 2025, doi: 10.1007/s10649-024-10372-y.
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2024 | Journal Article | LibreCat-ID: 59435
T. Büchter et al., “Covariational reasoning in Bayesian situations,” Educational Studies in Mathematics, vol. 115, no. 3, pp. 481–505, 2024, doi: 10.1007/s10649-023-10274-5.
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2024 | Journal Article | LibreCat-ID: 59437
N. Steib et al., “How to teach Bayesian reasoning: An empirical study comparing four different probability training courses,” Learning and Instruction, vol. 95, Art. no. 102032, 2024, doi: 10.1016/j.learninstruc.2024.102032.
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2024 | Conference Paper | LibreCat-ID: 59986
I. Garnelo Abellanas and M. Liebendörfer, “Herausforderungen beim Einsatz interaktiver Theorembeweiser in der Hochschullehre,” 2024.
LibreCat
2024 | Conference Paper | LibreCat-ID: 59990 |

R. Müller, “New Quick And Easy Publication - Will be edited by LibreCat team,” presented at the Fifth conference of the International Network for Didactic Research in University Mathematics, Barcelona, 2024, doi: https://theses.hal.science/INDRUM2024/hal-04944194v1.
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2023 | Journal Article | LibreCat-ID: 59436
S. F. Brose, K. Binder, M. R. Fischer, M. Reincke, L. T. Braun, and R. Schmidmaier, “Bayesian versus diagnostic information in physician-patient communication: Effects of direction of statistical information and presentation of visualization,” PLOS ONE, vol. 18, no. 6, Art. no. e0283947, 2023, doi: 10.1371/journal.pone.0283947.
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2023 | Conference Paper | LibreCat-ID: 59984
I. Garnelo Abellanas and M. Liebendörfer, “Introducing mathematics undergraduate students to the theorem prover lean,” presented at the Thirteenth Congress of the European Society for Research in Mathematics Education (CERME13), Budapest, 2023.
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2023 | Dissertation | LibreCat-ID: 59988 |

R. Müller, On the asymptotics of wildly ramified local function field extensions. 2023.
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2022 | Journal Article | LibreCat-ID: 59434
A. K. Kunzelmann, K. Binder, M. R. Fischer, M. Reincke, L. T. Braun, and R. Schmidmaier, “Improving Diagnostic Efficiency with Frequency Double-Trees and Frequency Nets in Bayesian Reasoning,” MDM Policy & Practice, vol. 7, no. 1, 2022, doi: 10.1177/23814683221086623.
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2022 | Journal Article | LibreCat-ID: 59432
K. Binder, N. Steib, and S. Krauss, “Von Baumdiagrammen über Doppelbäume zu Häufigkeitsnetzen – kognitive Überlastung oder didaktische Unterstützung? Moving from tree diagrams to double trees to net diagrams—cognitively overwhelming or educationally supportive?,” Journal für Mathematik-Didaktik, vol. 44, no. 2, pp. 471–503, 2022, doi: 10.1007/s13138-022-00215-9.
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2021 | Journal Article | LibreCat-ID: 59429
G. Bruckmaier, S. Krauss, K. Binder, S. Hilbert, and M. Brunner, “Tversky and Kahneman’s Cognitive Illusions: Who Can Solve Them, and Why?,” Frontiers in Psychology, vol. 12, 2021, doi: 10.3389/fpsyg.2021.584689.
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2021 | Journal Article | LibreCat-ID: 59439
K. Binder, S. Krauss, R. Schmidmaier, and L. T. Braun, “Natural frequency trees improve diagnostic efficiency in Bayesian reasoning,” Advances in Health Sciences Education, vol. 26, no. 3, pp. 847–863, 2021, doi: 10.1007/s10459-020-10025-8.
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2021 | Journal Article | LibreCat-ID: 59433
K. Binder, S. Krauss, R. Schmidmaier, and L. T. Braun, “Natural frequency trees improve diagnostic efficiency in Bayesian reasoning,” Advances in Health Sciences Education, vol. 26, no. 3, pp. 847–863, 2021, doi: 10.1007/s10459-020-10025-8.
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2020 | Journal Article | LibreCat-ID: 59423
S. Krauss et al., “Competence as a continuum in the COACTIV study: the ‘cascade model,’” ZDM, vol. 52, no. 2, pp. 311–327, 2020, doi: 10.1007/s11858-020-01151-z.
LibreCat
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2020 | Journal Article | LibreCat-ID: 59431
S. Krauss, P. Weber, K. Binder, and G. Bruckmaier, “Natürliche Häufigkeiten als numerische Darstellungsart von Anteilen und Unsicherheit – Forschungsdesiderate und einige Antworten Natural Frequencies as Numerical Representation of Proportions and Uncertainty—Research Desiderata and Some Answers,” Journal für Mathematik-Didaktik, vol. 41, no. 2, pp. 485–521, 2020, doi: 10.1007/s13138-019-00156-w.
LibreCat
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2020 | Journal Article | LibreCat-ID: 59424
K. Binder, S. Krauss, and P. Wiesner, “A New Visualization for Probabilistic Situations Containing Two Binary Events: The Frequency Net,” Frontiers in Psychology, vol. 11, 2020, doi: 10.3389/fpsyg.2020.00750.
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2020 | Journal Article | LibreCat-ID: 59989
R. Müller and J. Klüners, “The conductor density of local function fields with abelian Galois group,” Journal of Number Theory, vol. 212, 2020.
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2019 | Journal Article | LibreCat-ID: 59428
G. Bruckmaier, K. Binder, S. Krauss, and H.-M. Kufner, “An Eye-Tracking Study of Statistical Reasoning With Tree Diagrams and 2 × 2 Tables,” Frontiers in Psychology, vol. 10, 2019, doi: 10.3389/fpsyg.2019.00632.
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2018 | Journal Article | LibreCat-ID: 59425
P. Weber, K. Binder, and S. Krauss, “Why Can Only 24% Solve Bayesian Reasoning Problems in Natural Frequencies: Frequency Phobia in Spite of Probability Blindness,” Frontiers in Psychology, vol. 9, 2018, doi: 10.3389/fpsyg.2018.01833.
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2018 | Journal Article | LibreCat-ID: 59426
K. Binder, S. Krauss, G. Bruckmaier, and J. Marienhagen, “Visualizing the Bayesian 2-test case: The effect of tree diagrams on medical decision making,” PLOS ONE, vol. 13, no. 3, Art. no. e0195029, 2018, doi: 10.1371/journal.pone.0195029.
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