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10 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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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: 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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2022 | Conference Paper | LibreCat-ID: 35674
Fleischer, F. 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 | Journal Article | LibreCat-ID: 35672
Fleischer, F. Y., Biehler, R., & Schulte, C. (2022). Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. Statistics Education Research Journal, 21(2), Article 7. https://doi.org/10.52041/serj.v21i2.61
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2022 | Conference Paper | LibreCat-ID: 39064
Podworny, S., Fleischer, F. 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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2021 | Journal Article | LibreCat-ID: 35737
Biehler, R., & Fleischer, F. Y. (2021). Introducing students to machine learning with decision trees using CODAP and Jupyter Notebooks. Teaching Statistics, 43, S133–S142. https://doi.org/10.1111/test.12279
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2020 | Conference Paper | LibreCat-ID: 35814
Biehler, R., Fleischer, F. Y., Budde, L., Frischemeier, D., Gerstenberger, D., Podworny, S., & Schulte, C. (2020). Data science education in secondary schools: Teaching and learning decision trees with CODAP and Jupyter Notebooks as an example of integrating machine learning into statistics education. In P. Arnold (Ed.), New Skills in the Changing World of Statistics Education Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE). ISI/IASE.
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2020 | Book Chapter | LibreCat-ID: 35823
Fleischer, F. Y., & Biehler, R. (2020). Automatisierte Entscheidungsverfahren als Thema im allgemeinbildenden Mathematikunterricht. In H.-S. Siller, W. Weigel, & J. F. Wörler (Eds.), Beiträge zum Mathematikunterricht 2020. WTM-Verlag. https://doi.org/10.17877/DE290R-21301
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2020 | Book Chapter | LibreCat-ID: 35821
Budde, L., Frischemeier, D., Biehler, R., Fleischer, F. Y., Gerstenberger, D., Podworny, S., & Schulte, C. (2020). Data Science Education in Secondary School: How to Develop Statistical Reasoning When Exploring Data Using CODAP. In P. Arnold (Ed.), New Skills in the Changing World of Statistics Education: Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE), July 2020. ISI/IASE.
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