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303 Publications
2025 | Journal Article | LibreCat-ID: 58353 | 
Podworny, S., Biehler, R., & Fleischer, Y. (2025). Young students’ engagement with data to create decision trees. ZDM – Mathematics Education. https://doi.org/10.1007/s11858-024-01649-w
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2025 | Journal Article | LibreCat-ID: 59622
Fleischer, Y., & Biehler, R. (2025). Exploring students’ constructions of data-based decision trees after an introductory teaching unit on machine learning. ZDM – Mathematics Education, 57(1). https://doi.org/10.1007/s11858-025-01663-6
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2025 | Journal Article | LibreCat-ID: 59053
Frischemeier, D., & Biehler, R. (2025). Förderung von statistischem Denken im Mathematikunterricht der Primarstufe: Bedeutsame Ideen und Förderungsmöglichkeiten. Stochastik in der Schule, 45(1), 22–33.
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2025 | Journal Article | LibreCat-ID: 60351 |
Biehler, R., Kawakami, T., Lampen, E., Weiland, T., & Zapata-Cardona, L. (2025). Statistics and data science education as a vehicle for empowering citizens – short summary of a survey. European Mathematical Society Magazine. https://doi.org/10.4171/mag/257
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2025 | Journal Article | LibreCat-ID: 60495
Podworny, S., Fleischer, Y., & Biehler, R. (2025). Explorative Datenanalyse in der Schule – Analyse der Mediennutzung von Jugendlichen mit den YOU‑PB Daten. Stochastik in der Schule, 45(2), 9–16.
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2025 | Book Chapter | LibreCat-ID: 60532 |
Biehler, R., & Schulte, C. (2025). Lessons Learned from the ProDaBi Project: Shaping Perspectives at the Intersection of Data, AI, and Education Towards Fostering AI and Data Science Literacy in Schools Across Disciplines. In Proceedings of the 1st Symposium on Integrating AI and Data Science into School Education Across Disciplines (AIDEA 1 2025), Salzburg, Austria.
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2024 | Journal Article | LibreCat-ID: 54144
Lankeit, E., & Biehler, R. (2024). The meaning landscape of the concept of the total derivative in multivariable real analysis textbooks: an analysis based on a new model of meaning. ZDM – Mathematics Education. https://doi.org/10.1007/s11858-024-01584-w
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2024 | Journal Article | LibreCat-ID: 55667 |
Fleischer, F. Y., Podworny, S., & Biehler, R. (2024). Teaching and Learning to Construct Data-Based Decision Trees Using Data Cards as the First Introduction to Machine Learning in Middle School. Statistics Education Research Journal, 23(1), Article 3. https://doi.org/10.52041/serj.v23i1.450
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2024 | Book Chapter | LibreCat-ID: 55756 |
Biehler, R., & Frischemeier, D. (2024). Eine inklusive Lehr-Lernumgebung für die Leitidee „Daten und Zufall“ in der Primarstufe. In Inklusives Lehren und Lernen von Mathematik. Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-43964-4_13
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2024 | Book | LibreCat-ID: 55758
Biehler, R., & Frischemeier, D. (2024). Daten-Spürnasen auf Spurensuche: Datenanalyse in der Grundschule mit digitalen Werkzeugen. Klett Kallmeyer.
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2024 | Journal Article | LibreCat-ID: 56016 |
Hoffmann, M., & Biehler, R. (2024). Using academic mathematical knowledge when working on interface tasks–analyses of pre-service teachers’ arguments about rotationally symmetric figures. ZDM – Mathematics Education. https://doi.org/10.1007/s11858-024-01633-4
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2024 | Journal Article | LibreCat-ID: 56197
Hoffmann, M., & Biehler, R. (2024). Using academic mathematical knowledge when working on interface tasks–analyses of pre-service teachers’ arguments about rotationally symmetric figures. ZDM – Mathematics Education. https://doi.org/10.1007/s11858-024-01633-4
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2024 | Book (Editor) | LibreCat-ID: 56199
Liebendörfer, M., Schmitz, A., & Biehler, R. (Eds.). (2024). Lernvideos in der Mathematik – Beiträge zur Abschlusstagung des Projektes studiVEMINTvideos der Universität Paderborn und der TH Köln.
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2024 | Journal Article | LibreCat-ID: 56780
Biehler, R., Durand-Guerrier, V., & Trigueros, M. (2024). New trends in didactic research in university mathematics education. ZDM – Mathematics Education. https://doi.org/10.1007/s11858-024-01643-2
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2024 | Conference Paper | LibreCat-ID: 59467 |
Miller, K. M., Polman, J. L., Yoon, S. A., Shim, J., Leung, V. Y., Nguyen, Y., Rubin, A., Higgins, T., Karch, J. M., Hammerman, J. K., Matuk, C., DesPortes, K., Amato, A., Dikker, S., Ochoa, X., Romero, E., Podworny, S., Fleischer, Y., Biehler, R., … Louie, J. (2024). Data and Social Worlds: How Data Science Education Supports Civic Participation and Social Discourse. In R. Lindgren, T. I. Asino, E. A. Kyza, C. K. Looi, D. T. Keifert, & E. Suárez (Eds.), Proceedings of the 18th International Conference of the Learning Sciences-ICLS 2024 (pp. 1863–1870). International Society of the Learning Sciences.
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2024 | Research Data | LibreCat-ID: 56198
Liebendörfer, M., Biehler, R., & Schmitz, A. (2024). Mathematische Lernvideos zu Studieneinstieg und Studienvorbereitung. Universität Kassel. https://doi.org/10.17170/KOBRA-2024081810686-004
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2024 | Book Chapter | LibreCat-ID: 57952
Lankeit, E., & Biehler, R. (2024). Bedeutungsfacetten der Beziehungen von Differenzierbarkeit und Stetigkeit im Ein- und Mehrdimensionalen: Ein Blick auf die semantische Ebene. In P. Ebers, F. Rösken, B. Barzel, A. Büchter, F. Schacht, & P. Scherer (Eds.), Beiträge zum Mathematikunterricht 2024 - 57. Jahrestagung der Gesellschaft für Didaktik der Mathematik. (pp. 1073–1076). WTM-Verlag. https://doi.org/10.37626/GA9783959872782.0
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2024 | Book Chapter | LibreCat-ID: 57950
Fleischer, Y., & Biehler, R. (2024). Intuitiver Zugang zu datenbasierten Entscheidungsbäumen. In P. Ebers, F. Rösken, B. Barzel, A. Büchter, F. Schacht, & P. Scherer (Eds.), Beiträge zum Mathematikunterricht 2024 - 57. Jahrestagung der Gesellschaft für Didaktik der Mathematik. (pp. 167–170). WTM-Verlag. https://doi.org/10.37626/GA9783959872782.0
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2024 | Book Chapter | LibreCat-ID: 57948
Mai, T., & Biehler, R. (2024). Transitionen zwischen Vektorobjekten in Schulbüchern. In P. Ebers, F. Rösken, B. Barzel, A. Büchter, F. Schacht, & P. Scherer (Eds.), Beiträge zum Mathematikunterricht 2024 - 57. Jahrestagung der Gesellschaft für Didaktik der Mathematik. (pp. 1103–1106). WTM-Verlag. https://doi.org/10.37626/GA9783959872782.0
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2024 | Book Chapter | LibreCat-ID: 57947
Bauer, T., Biehler, R., & Lankeit, E. (2024). Designing a Concept Inventory for Real Analysis. In A. S. Gonzalez-Martin, G. Gueudet, I. Florensa, & N. Lombard (Eds.), INDRUM2024 PROCEEDINGS - Fifth conference of the International Network for Didactic Research in University Mathematics (pp. 65–74). Escola Univeristaria Salesiana de Sarria (Univ. Autonoma de Barcelona) and INDRUM.
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