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1302 Publications
2022 | Book Chapter | LibreCat-ID: 43232
Ridgway, J., Campos, P., & Biehler, R. (2022). Data Science, Statistics, and Civic Statistics: Education for a Fast Changing World. In Statistics for Empowerment and Social Engagement. Springer International Publishing. https://doi.org/10.1007/978-3-031-20748-8_22
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2022 | Book Chapter | LibreCat-ID: 42649 | 
Bauer, T., Biehler, R., & Lankeit, E. (2022). Mini-Aufgaben in mathematischen Übungsgruppen zur Analysis: Charakteristika von Aufgaben und Abstimmungsverhalten von Studierenden. In R. Hochmuth, R. Biehler, M. Liebendörfer, & N. Schaper (Eds.), Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse (pp. 515–543). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-64833-9_19
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2022 | Book Chapter | LibreCat-ID: 42652
Lankeit, E., & Biehler, R. (2022). Vorkurse und ihre Wirkungen im Übergang Schule – Hochschule. In R. Hochmuth, R. Biehler, M. Liebendörfer, & N. Schaper (Eds.), Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse (pp. 293–363). Springer. https://doi.org/10.1007/978-3-662-64833-9_12
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2022 | Conference Paper | LibreCat-ID: 39062
Liebendörfer, M., Profeta, A., Krämer, S., Schlüter, S., Becher, S., Biehler, R., Mai, T., & Schmitz, A. (2022). Enriching videos with interactive questions to enhance students’ cognitive activity: concept and implementation. Twelfth Congress of the European Society for Research in Mathematics Education (CERME12), Bozen-Bolzano, Italy.
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2022 | Research Data | LibreCat-ID: 35698
Schürmann, M., Büdenbender-Kuklinski, C., Lankeit, E., Liebendörfer, M., Hochmuth, R., Biehler, R., & Schaper, N. (2022). Dokumentation der Erhebungsinstrumente des Projekts WiGeMath. LibreCat University. https://doi.org/10.17170/KOBRA-202205176188
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2022 | Book Chapter | LibreCat-ID: 42651
Hochmuth, R., Biehler, R., Schaper, N., Liebendörfer, M., Büdenbender-Kuklinski, C., Lankeit, E., Ruge, J., & Schürmann, M. (2022). Einführung in das WiGeMath-Projekt: Wirkung und Gelingensbedingungen von Unterstützungsmaßnahmen für mathematikbezogenes Lernen in der Studieneingangsphase. In H. Reinhard, R. Biehler, M. Liebendörfer, & N. Schaper (Eds.), Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse (pp. 3–31). Springer. https://doi.org/10.1007/978-3-662-64833-9_1
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2022 | Book Chapter | LibreCat-ID: 42654 |
Liebendörfer, M., Hochmuth, R., Biehler, R., Schaper, N., Büdenbender-Kuklinski, C., Lankeit, E., Ruge, J., & Schürmann, M. (2022). Ein Rahmenmodell für hochschuldidaktische Maßnahmen in der Mathematik. In R. Hochmuth, R. Biehler, M. Liebendörfer, & N. Schaper (Eds.), Unterstützungsmaßnahmen in mathematikbezogenen Studiengängen - Konzepte, Praxisbeispiele und Untersuchungsergebnisse (pp. 33–65). Springer. https://doi.org/10.1007/978-3-662-64833-9_2
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2022 | Conference Paper | LibreCat-ID: 35674
Fleischer, Y., Hüsing, S., Biehler, R., Podworny, S., & Schulte, C. (2022). Jupyter Notebooks for Teaching, Learning, and Doing Data Science. In S. A. Peters, L. Zapata-Cardona, F. Bonafini, & A. Fan (Eds.), Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics. International Association for Statistical Education. https://doi.org/10.52041/iase.icots11.t10e3
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2022 | Book Chapter | LibreCat-ID: 46160
Wessel, L., & Leuders, T. (2022). Profession-Specific Curriculum Design in Mathematics Teacher Education: Connecting Disciplinary Practice to the Learning of Group Theory. In R. Biehler, M. Liebendörfer, G. Gueudet, C. Rasmussen, & C. Winslow (Eds.), Practice-Oriented Research in Tertiary Mathematics Education (pp. 349–368). Springer International Publishing. https://doi.org/10.1007/978-3-031-14175-1_17
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2022 | Book Chapter | LibreCat-ID: 43231
Podworny, S., Frischemeier, D., & Biehler, R. (2022). Civic Statistics for Prospective Teachers: Developing Content and Pedagogical Content Knowledge Through Project Work. In Statistics for Empowerment and Social Engagement. Springer International Publishing. https://doi.org/10.1007/978-3-031-20748-8_15
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2022 | Book Chapter | LibreCat-ID: 43230
Frischemeier, D., Podworny, S., & Biehler, R. (2022). Data Visualization Packages for Non-inferential Civic Statistics in High School Classrooms. In Statistics for Empowerment and Social Engagement (pp. 199–236). Springer International Publishing. https://doi.org/10.1007/978-3-031-20748-8_9
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2022 | Conference Paper | LibreCat-ID: 39064
Podworny, S., Fleischer, Y., Stroop, D., & Biehler, R. (2022). An example of rich, real and multivariate survey data for use in school. Twelfth Congress of the European Society for Research in Mathematics Education (CERME12), Bozen-Bolzano, Italy.
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2022 | Conference Paper | LibreCat-ID: 53052
Kolbe, T., & Wessel, L. (2022). Self-regulated learning in a mathematics course for engineers in the first semester: insights into students reported resource management and cognitive strategies. In M. Trigueros, B. Baerquero, R. Hochmuth, & J. Peters (Eds.), Fourth conference of the International Network for Didactic Research in University Mathematics (pp. 632–641).
LibreCat
2021 | Journal Article | LibreCat-ID: 24169
Nüske, F., Gelß, P., Klus, S., & Clementi, C. (2021). Tensor-based computation of metastable and coherent sets. Physica D: Nonlinear Phenomena, Article 133018. https://doi.org/10.1016/j.physd.2021.133018
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2021 | Journal Article | LibreCat-ID: 24170
Klus, S., Gelß, P., Nüske, F., & Noé, F. (2021). Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry. Machine Learning: Science and Technology, Article 045016. https://doi.org/10.1088/2632-2153/ac14ad
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2021 | Journal Article | LibreCat-ID: 21195
Goelz, C., Mora, K., Stroehlein, J. K., Haase, F. K., Dellnitz, M., Reinsberger, C., & Vieluf, S. (2021). Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults. Cognitive Neurodynamics. https://doi.org/10.1007/s11571-020-09656-9
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2021 | Journal Article | LibreCat-ID: 21337 |
Berkemeier, M. B., & Peitz, S. (2021). Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis Function Surrogate Models. Mathematical and Computational Applications, 26(2). https://doi.org/10.3390/mca26020031
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2021 | Journal Article | LibreCat-ID: 21820 |
Nüske, F., Koltai, P., Boninsegna, L., & Clementi, C. (2021). Spectral Properties of Effective Dynamics from Conditional Expectations. Entropy. https://doi.org/10.3390/e23020134
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2021 | Journal Article | LibreCat-ID: 16867 |
Gebken, B., & Peitz, S. (2021). An efficient descent method for locally Lipschitz multiobjective optimization problems. Journal of Optimization Theory and Applications, 188, 696–723. https://doi.org/10.1007/s10957-020-01803-w
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2021 | Journal Article | LibreCat-ID: 16295 |
Gebken, B., & Peitz, S. (2021). Inverse multiobjective optimization: Inferring decision criteria from data. Journal of Global Optimization, 80, 3–29. https://doi.org/10.1007/s10898-020-00983-z
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