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37 Publications
2025 | Journal Article | LibreCat-ID: 58353 | 
S. Podworny, R. Biehler, and Y. Fleischer, “Young students’ engagement with data to create decision trees,” ZDM – Mathematics Education, 2025, doi: 10.1007/s11858-024-01649-w.
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2024 | Journal Article | LibreCat-ID: 55667 |
F. Y. Fleischer, S. Podworny, and R. Biehler, “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, vol. 23, no. 1, Art. no. 3, 2024, doi: 10.52041/serj.v23i1.450.
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2023 | Conference Paper | LibreCat-ID: 48100 |
M. Wilkerson et al., “K-12 Data Science Education: Outcomes of a National Workshop; International Perspectives; and Next Steps for the Learning Sciences,” in General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining our Community, 2023, pp. 76–79.
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2023 | Conference Paper | LibreCat-ID: 48101
S. Podworny and D. Frischemeier, “ Minisymposium Data Science,” in Beiträge zum Mathematikunterricht 2022: 56. Jahrestagung der Gesellschaft für Didaktik der Mathematik vom 29.08.2022 bis 02.09.2022 in Frankfurt am Main, 2023.
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2022 | Book Chapter | LibreCat-ID: 48106 |
S. Podworny and Y. Fleischer, “ An approach to teaching data science in middle school,” in Proceedings of the 15th international conference on technology in mathematics teaching (ICTMT 15), U. T. Jankvist, R. Elicer, A. Clark-Wilson, H.-G. Weigand, and M. Thomson, Eds. Aarhus, Denmark: Danish School of Education, 2022, pp. 308–315.
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2022 | Conference Paper | LibreCat-ID: 48107 |
S. Podworny, Y. Fleischer, D. Stroop, and R. Biehler, “An example of rich, real and multivariate survey data for use in school,” presented at the Twelfth Congress of the European Society for Research in Mathematics Education (CERME12), Bozen-Bolzano, Italy, 2022.
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2022 | Journal Article | LibreCat-ID: 48104
S. Podworny, “Vokabeln lernen im Schlaf? Statistische Testprozeduren verstehen,” mathematik lehren, vol. 232, pp. 36–40, 2022.
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2022 | Conference Paper | LibreCat-ID: 35674
F. Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, and C. Schulte, “Jupyter Notebooks for Teaching, Learning, and Doing Data Science,” in Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics, 2022, doi: 10.52041/iase.icots11.t10e3.
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2022 | Book Chapter | LibreCat-ID: 43231
S. Podworny, D. Frischemeier, and R. Biehler, “Civic Statistics for Prospective Teachers: Developing Content and Pedagogical Content Knowledge Through Project Work,” in Statistics for Empowerment and Social Engagement, Cham: Springer International Publishing, 2022.
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2022 | Book Chapter | LibreCat-ID: 43230
D. Frischemeier, S. Podworny, and R. Biehler, “Data Visualization Packages for Non-inferential Civic Statistics in High School Classrooms,” in Statistics for Empowerment and Social Engagement, Cham: Springer International Publishing, 2022, pp. 199–236.
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2022 | Conference Paper | LibreCat-ID: 39064
S. Podworny, F. Y. Fleischer, D. Stroop, and R. Biehler, “An example of rich, real and multivariate survey data for use in school,” presented at the Twelfth Congress of the European Society for Research in Mathematics Education (CERME12), Bozen-Bolzano, Italy, 2022.
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2021 | Conference Paper | LibreCat-ID: 48162
L. Höper et al., “ Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz,” Wuppertal, 2021, pp. 345–345.
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2021 | Journal Article | LibreCat-ID: 35781
S. Podworny and R. Biehler, “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, vol. 24, no. 4, pp. 291–311, 2021, doi: 10.1080/10986065.2021.1922837.
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2021 | Journal Article | LibreCat-ID: 35751
D. Frischemeier, R. Biehler, S. Podworny, and L. Budde, “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, vol. 43, no. S1, pp. S182–S189, 2021, doi: 10.1111/test.12283.
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2021 | Book Chapter | LibreCat-ID: 56204
D. Frischemeier, S. Podworny, and R. Biehler, “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, Berlin, Heidelberg: Springer Berlin Heidelberg, 2021.
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2020 | Conference Paper | LibreCat-ID: 35814
R. Biehler 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 New Skills in the Changing World of Statistics Education Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE), 2020.
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2020 | Book Chapter | LibreCat-ID: 35821
L. Budde et al., “Data Science Education in Secondary School: How to Develop Statistical Reasoning When Exploring Data Using CODAP,” in New Skills in the Changing World of Statistics Education: Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE), July 2020, P. Arnold, Ed. Voorborg, The Netherlands: ISI/IASE, 2020.
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2019 | Journal Article | LibreCat-ID: 56248
J. Engel, R. Biehler, D. Frischemeier, S. Podworny, A. Schiller, and L. Martignon, “Erratum to: Zivilstatistik: Konzept einer neuen Perspektive auf Data Literacy und Statistical Literacy,” AStA Wirtschafts- und Sozialstatistisches Archiv, vol. 14, no. 1, pp. 113–114, 2019, doi: 10.1007/s11943-019-00266-4.
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2019 | Journal Article | LibreCat-ID: 56252
D. Frischemeier, S. Podworny, and R. Biehler, “Chancen und Herausforderungen für die Implementation von Zivilstatistiken in der Lehramtsausbildung,” Stochastik in der Schule, vol. 39, no. 1, pp. 26–33, 2019.
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2018 | Book (Editor) | LibreCat-ID: 56354
R. Biehler 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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