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Zwischen Theorie und Praxis: Wie kann diskriminierungssensible(re) Beratung gelingen?
An Erratum to this article was published on 07 March 2025: https://link.springer.com/article/10.1007/s11613-025-00927-0Gefördert im Rahmen des Projekts DEA
Self-interest and support for climate-related transport policy measures in Germany and Sweden
Gefördert im Rahmen des Projekts DEA
Experimental benchmarking of relative potential energy minima internuclear distances with femtometer length accuracy
Gefördert durch den Publikationsfonds der Universität Kasse
Structural analysis of Uganda’s pig semen value chain: Actor networks, challenges, and opportunities
Förderung von konventionellem und erweitertem Bayesianischem Denken
This publication-based dissertation includes the following three open-access articles:
Büchter, T., Eichler, A., Böcherer-Linder, K., Vogel, M., Binder, K., Krauss, S., & Steib, N. (2024). Covariational reasoning in Bayesian situations. Educational Studies in Mathematics, 115, 1-25. https://doi.org/10.1007/s10649-023-10274-5
Büchter, T., Eichler, A., Steib, N., Binder, K., Böcherer-Linder, K., Krauss, S., & Vogel, M. (2022). How to Train Novices in Bayesian Reasoning. Mathematics, 10(9), 1558. https://doi.org/10.3390/math10091558
Steib, N., Büchter, T., Eichler, A., Binder, K., Krauss, S., Böcherer-Linder, K., Vogel, M., & Hilbert, S. (2025). How to teach Bayesian reasoning: An empirical study comparing four different probability training courses. Learning and Instruction, 95, 102032. https://doi.org/10.1016/j.learninstruc.2024.102032The research leading to this dissertation received funding from Deutsche Forschungsgemeinschaft (DFG) under the Grant EIC773/4-1
On Perception, Information and Narratives: Opportunities and Challenges for Experimental Economics in the Age of Computers
Genetic structure and diversity of dairy cows in commercial herds in Burkina Faso using microsatellite markers
An Initial Study of Ultra High Performance Concrete as Reusable Mold Material for Aluminum Casting
Gefördert durch den Publikationsfonds der Universität Kasse
Reducing the climate impact of residual waste treatment: A German case study on carbon management strategies
Gefördert im Rahmen des Projekts DEA