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37 Publications
2025 | Journal Article | LibreCat-ID: 58353 | 
Podworny S, Biehler R, Fleischer Y. Young students’ engagement with data to create decision trees. ZDM – Mathematics Education. Published online 2025. doi:10.1007/s11858-024-01649-w
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2024 | Journal Article | LibreCat-ID: 55667 |
Fleischer FY, Podworny S, Biehler R. 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. 2024;23(1). doi:10.52041/serj.v23i1.450
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2023 | Conference Paper | LibreCat-ID: 48100 |
Wilkerson M, Ben-Zvi D, Dvir M, et al. K-12 Data Science Education: Outcomes of a National Workshop; International Perspectives; and Next Steps for the Learning Sciences. In: Slotta JD, Charles ES, eds. General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining Our Community. ISLS; 2023:76-79.
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2023 | Conference Paper | LibreCat-ID: 48101
Podworny S, Frischemeier D. Minisymposium Data Science. In: IDMI-Primar Goethe-Universität Frankfurt ., ed. Beiträge Zum Mathematikunterricht 2022: 56. Jahrestagung Der Gesellschaft Für Didaktik Der Mathematik Vom 29.08.2022 Bis 02.09.2022 in Frankfurt Am Main. WTM-Verlag; 2023.
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2022 | Book Chapter | LibreCat-ID: 48106 |
Podworny S, Fleischer Y. An approach to teaching data science in middle school. In: Jankvist UT, Elicer R, Clark-Wilson A, Weigand H-G, Thomson M, eds. Proceedings of the 15th International Conference on Technology in Mathematics Teaching (ICTMT 15). Danish School of Education; 2022:308-315.
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2022 | Conference Paper | LibreCat-ID: 48107 |
Podworny S, Fleischer Y, Stroop D, Biehler R. An example of rich, real and multivariate survey data for use in school. In: ; 2022.
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2022 | Journal Article | LibreCat-ID: 48104
Podworny S. Vokabeln lernen im Schlaf? Statistische Testprozeduren verstehen. mathematik lehren. 2022;232:36-40.
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2022 | Conference Paper | LibreCat-ID: 35674
Fleischer FY, Hüsing S, Biehler R, Podworny S, Schulte C. Jupyter Notebooks for Teaching, Learning, and Doing Data Science. In: Peters SA, Zapata-Cardona L, Bonafini F, Fan A, 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; 2022. doi:10.52041/iase.icots11.t10e3
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2022 | Book Chapter | LibreCat-ID: 43231
Podworny S, Frischemeier D, Biehler R. Civic Statistics for Prospective Teachers: Developing Content and Pedagogical Content Knowledge Through Project Work. In: Statistics for Empowerment and Social Engagement. Springer International Publishing; 2022. doi:10.1007/978-3-031-20748-8_15
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2022 | Book Chapter | LibreCat-ID: 43230
Frischemeier D, Podworny S, Biehler R. Data Visualization Packages for Non-inferential Civic Statistics in High School Classrooms. In: Statistics for Empowerment and Social Engagement. Springer International Publishing; 2022:199-236. doi:10.1007/978-3-031-20748-8_9
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2022 | Conference Paper | LibreCat-ID: 39064
Podworny S, Fleischer FY, Stroop D, Biehler R. An example of rich, real and multivariate survey data for use in school. In: ; 2022.
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2021 | Conference Paper | LibreCat-ID: 48162
Höper L, Podworny S, Hüsing S, et al. Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz. In: ; 2021:345-345.
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2021 | Journal Article | LibreCat-ID: 35781
Podworny S, Biehler R. The process of actively building a model for a randomization test – insights into learners’ modeling activities based on a case study. Mathematical Thinking and Learning. 2021;24(4):291-311. doi:10.1080/10986065.2021.1922837
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2021 | Journal Article | LibreCat-ID: 35751
Frischemeier D, Biehler R, Podworny S, Budde L. A first introduction to data science education in secondary schools: Teaching and learning about data exploration with<scp>CODAP</scp>using survey data. Teaching Statistics. 2021;43(S1):S182-S189. doi:10.1111/test.12283
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2021 | Book Chapter | LibreCat-ID: 56204
Frischemeier D, Podworny S, Biehler R. Integration fachwissenschaftlicher und fachdidaktischer Komponenten in der Lehramtsausbildung Mathematik Grundschule am Beispiel einer Veranstaltung zur Leitidee „Daten, Häufigkeit und Wahrscheinlichkeit“. In: Konzepte und Studien zur Hochschuldidaktik und Lehrerbildung Mathematik. Springer Berlin Heidelberg; 2021. doi:10.1007/978-3-662-62854-6_11
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2020 | Conference Paper | LibreCat-ID: 35814
Biehler R, Fleischer FY, Budde L, et al. 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: Arnold P, 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; 2020.
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2020 | Book Chapter | LibreCat-ID: 35821
Budde L, Frischemeier D, Biehler R, et al. Data Science Education in Secondary School: How to Develop Statistical Reasoning When Exploring Data Using CODAP. In: Arnold P, 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; 2020.
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2019 | Journal Article | LibreCat-ID: 56248
Engel J, Biehler R, Frischemeier D, Podworny S, Schiller A, Martignon L. Erratum to: Zivilstatistik: Konzept einer neuen Perspektive auf Data Literacy und Statistical Literacy. AStA Wirtschafts- und Sozialstatistisches Archiv. 2019;14(1):113-114. doi:10.1007/s11943-019-00266-4
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2019 | Journal Article | LibreCat-ID: 56252
Frischemeier D, Podworny S, Biehler R. Chancen und Herausforderungen für die Implementation von Zivilstatistiken in der Lehramtsausbildung. Stochastik in der Schule. 2019;39(1):26-33.
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2018 | Book (Editor) | LibreCat-ID: 56354
Biehler R, Budde L, Frischemeier D, et al., eds. Paderborn Symposium on Data Science Education at School Level 2017: The Collected Extended Abstracts. Universitätsbibliothek Paderborn. Universitätsbibliothek Paderborn; 2018.
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