38 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 | 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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2023 | Conference Paper | LibreCat-ID: 48100 |

Wilkerson, M., Ben-Zvi, D., Dvir, M., Matuk, C., Podworny, S., Stephens, A., & Zapata-Cardona, L. (2023). K-12 Data Science Education: Outcomes of a National Workshop; International Perspectives; and Next Steps for the Learning Sciences. In J. D. Slotta & E. S. Charles (Eds.), General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining our Community (pp. 76–79). ISLS.
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2023 | Conference Paper | LibreCat-ID: 48101
Podworny, S., & Frischemeier, D. (2023). 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.
LibreCat
2022 | Book Chapter | LibreCat-ID: 48106 |

Podworny, S., & Fleischer, Y. (2022). An approach to teaching data science in middle school. In U. T. Jankvist, R. Elicer, A. Clark-Wilson, H.-G. Weigand, & M. Thomson (Eds.), Proceedings of the 15th international conference on technology in mathematics teaching (ICTMT 15) (pp. 308–315). Danish School of Education.
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2022 | Conference Paper | LibreCat-ID: 48107 |

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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| Download (ext.)
2022 | Journal Article | LibreCat-ID: 48104
Podworny, S. (2022). Vokabeln lernen im Schlaf? Statistische Testprozeduren verstehen. mathematik lehren, 232, 36–40.
LibreCat
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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| DOI
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, 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 | Conference Paper | LibreCat-ID: 48162
Höper, L., Podworny, S., Hüsing, S., Schulte, C., Fleischer, Y., Biehler, R., Frischemeier, D., & Malatyali, H. (2021). Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz. 345–345.
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| Download (ext.)
2021 | Journal Article | LibreCat-ID: 35781
Podworny, S., & Biehler, R. (2021). 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, 24(4), 291–311. https://doi.org/10.1080/10986065.2021.1922837
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 35751
Frischemeier, D., Biehler, R., Podworny, S., & Budde, L. (2021). 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, 43(S1), S182–S189. https://doi.org/10.1111/test.12283
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| DOI
2021 | Book Chapter | LibreCat-ID: 56204
Frischemeier, D., Podworny, S., & Biehler, R. (2021). 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. https://doi.org/10.1007/978-3-662-62854-6_11
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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.
LibreCat
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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| Files available
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2019 | Journal Article | LibreCat-ID: 56248
Engel, J., Biehler, R., Frischemeier, D., Podworny, S., Schiller, A., & Martignon, L. (2019). Erratum to: Zivilstatistik: Konzept einer neuen Perspektive auf Data Literacy und Statistical Literacy. AStA Wirtschafts- Und Sozialstatistisches Archiv, 14(1), 113–114. https://doi.org/10.1007/s11943-019-00266-4
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2019 | Journal Article | LibreCat-ID: 56252
Frischemeier, D., Podworny, S., & Biehler, R. (2019). Chancen und Herausforderungen für die Implementation von Zivilstatistiken in der Lehramtsausbildung. Stochastik in Der Schule, 39(1), 26–33.
LibreCat
2018 | Book (Editor) | LibreCat-ID: 56354
Biehler, R., Budde, L., Frischemeier, D., Heinemann, B., Podworny, S., Schulte, C., & Wassong, T. (Eds.). (2018). Paderborn symposium on data science education at school level 2017: The collected extended abstracts. Universitätsbibliothek Paderborn. Universitätsbibliothek Paderborn.
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| Download (ext.)
2018 | Journal Article | LibreCat-ID: 56361
Biehler, R., Frischemeier, D., & Podworny, S. (2018). Elementary preservice teachers’ reasoning about statistical modeling in a civic statistics context. ZDM, 50(7), 1237–1251. https://doi.org/10.1007/s11858-018-1001-x
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| DOI
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2018 | Journal Article | LibreCat-ID: 56360
Biehler, R., Frischemeier, D., & Podworny, S. (2018). Civic Engagement in Higher Education: A university course in civic statistics for mathematics preservice teachers - Civic Engagement in Higher Education: A university course in civic statistics for mathematics preservice teachers. Zeitschrift Für Hochschulentwicklung, 13(2), 169–182. https://doi.org/10.3217/ZFHE-13-02/11
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2018 | Journal Article | LibreCat-ID: 56362
Biehler, R., Frischemeier, D., Podworny, S., Wassong, T., Budde, L., Heinemann, B., & Schulte, C. (2018). Data Science and Big Data in Upper Secondary Schools: A Module to Build up First Components of Statistical Thinking in a Data Science Curriculum. Archives of Data Science, Series A, 5(1), Article 28. https://doi.org/10.5445/KSP/1000087327/28
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2018 | Conference Paper | LibreCat-ID: 56711
Heinemann, B., Opel, S., Budde, L., Schulte, C., Frischemeier, D., Biehler, R., Podworny, S., & Wassong, T. (2018). Drafting a Data Science Curriculum for Secondary Schools. Proceedings of the 18th Koli Calling International Conference on Computing Education Research, November 22–25, 2018, Koli, Finland. https://doi.org/10.1145/3279720.3279737
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2018 | Journal Article | LibreCat-ID: 56710
Heinemann, B., Budde, L., Schulte, C., Biehler, R., Frischemeier, D., Podworny, S., & Wassong, T. (2018). Data Science and Big Data in Upper Secondary Schools: What Should Be Discussed From a Perspective of Computer Science Education? Archives of Data Science, Series A, 5(1), 1–18.
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2018 | Book Chapter | LibreCat-ID: 56794
Podworny, S., Frischemeier, D., & Biehler, R. (2018). Zivilstatistisches Wissen in der Lehramtsausbildung fördern: Design und Durchführung eines univer-sitären Seminars für Lehramtsstudierende der Mathematik. In Fachgruppe Didaktik der Mathematik der Universität Paderborn (Ed.), Beiträge zum Mathematikunterricht 2018, Band III (pp. 1423–1426). WTM-Verlag.
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2018 | Book Chapter | LibreCat-ID: 56795
Podworny, S., Frischemeier, D., & Biehler, R. (2018). Enhancing civic statistical knowledge of secondary preservice teachers for mathematics. In M. A. Sorto, A. White, & L. Guyot (Eds.), Looking back, looking forward. Proceedings of the Tenth International Conference on Teaching Sta-tistics (ICOTS10, July, 2018), Kyoto, Japan. International Statistical Institute.
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2018 | Book Chapter | LibreCat-ID: 56796
Wassner, C., Podworny, S., & Biehler, R. (2018). Reale Datenkompetenz im Unterricht fördern. In Fachgruppe Didaktik der Mathematik der Universität Paderborn (Ed.), Beiträge zum Mathematikunterricht 2018, Band IV (pp. 1923–1926). WTM-Verlag.
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2018 | Book Chapter | LibreCat-ID: 56708
Frischemeier, D., Podworny, S., & Biehler, R. (2018). Activities for promoting civic statistical knowledge of preservice teachers. In P. Kovács (Ed.), Proceedings of challenges and innovations in statistics education multiplier conference of ProCivicStat. University of Szeged.
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2017 | Journal Article | LibreCat-ID: 56896
Biehler, R., Frischemeier, D., & Podworny, S. (2017). Elementary preservice teachers´ reasoning about modeling a “family factory” with TinkerPlots - A pilot study. Statistics Education Research Journal, 16(2), 244–286.
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2017 | Journal Article | LibreCat-ID: 56895
Biehler, R., Frischemeier, D., & Podworny, S. (2017). Reasoning about models and modelling in the context of informal statistical inference. Statistics Education Research Journal, 16(2), 8–12.
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2017 | Conference Paper | LibreCat-ID: 56894
Biehler, R., Frischemeier, D., & Podworny, S. (2017). Design, realization and evaluation of a university course for preservice teachers on developing statistical reasoning and literacy with a focus on civic statistics. World Statistics Congress 61, Marrakech, Marokko.
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2017 | Book Chapter | LibreCat-ID: 56906
Podworny, S., Frischemeier, D., & Biehler, R. (2017). Design, Realization and Evaluation of a statistics course for preservice teachers for primary school in Germany. In A. Molnar (Ed.), Teaching Statistics in a Data Rich World. Proceedings of the Satellite Conference of the International Association of Statistics Education (IASE), July 2017.
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2016 | Journal Article | LibreCat-ID: 56974
Biehler, R., Frischemeier, D., & Podworny, S. (2016). Stochastische Simulationen mit TinkerPlots–Von einfachen Zufallsexperimenten zum informellen Hypothesentesten. Stochastik in der Schule, 36(1), 22–27.
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2015 | Book Chapter | LibreCat-ID: 57044
Biehler, R., Frischemeier, D., & Podworny, S. (2015). Preservice teachers reasoning about uncertainty in the context of randomization tests. In A. Zieffler & E. Fry (Eds.), Reasoning about uncertainty: Learning and teaching informal inferential reasoning (pp. 129–162). Catalyst Press.
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2014 | Book Chapter | LibreCat-ID: 57420
Podworny, S., & Biehler, R. (2014). A learning trajectory on hypothesis testing with TinkerPlots - design and exploratory evaluation. In K. Makar, B. d. Sousa, & R. Gould (Eds.), Sustainability in statistics education. Proceedings of the Ninth International Conference on Teaching Statistics (ICOTS9, July, 2014), Flagstaff, Arizona, USA. ISA.
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2013 | Book Chapter | LibreCat-ID: 57427
Biehler, R., & Podworny, S. (2013). TinkerPlots 2.0: von realen Handlungen über Computersimulationen zum stochastischen Denken. In G. Greefrath, F. Käpnick, & M. Stein (Eds.), Beiträge zum Mathematikunterricht 2013, Band 1 (pp. 144–147). WTM-Verlag.
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38 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
LibreCat
| DOI
| Download (ext.)
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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| DOI
| Download (ext.)
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.
LibreCat
| Files available
| Download (ext.)
2023 | Conference Paper | LibreCat-ID: 48100 |

Wilkerson, M., Ben-Zvi, D., Dvir, M., Matuk, C., Podworny, S., Stephens, A., & Zapata-Cardona, L. (2023). K-12 Data Science Education: Outcomes of a National Workshop; International Perspectives; and Next Steps for the Learning Sciences. In J. D. Slotta & E. S. Charles (Eds.), General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining our Community (pp. 76–79). ISLS.
LibreCat
| Download (ext.)
2023 | Conference Paper | LibreCat-ID: 48101
Podworny, S., & Frischemeier, D. (2023). 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.
LibreCat
2022 | Book Chapter | LibreCat-ID: 48106 |

Podworny, S., & Fleischer, Y. (2022). An approach to teaching data science in middle school. In U. T. Jankvist, R. Elicer, A. Clark-Wilson, H.-G. Weigand, & M. Thomson (Eds.), Proceedings of the 15th international conference on technology in mathematics teaching (ICTMT 15) (pp. 308–315). Danish School of Education.
LibreCat
| Download (ext.)
2022 | Conference Paper | LibreCat-ID: 48107 |

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.
LibreCat
| Download (ext.)
2022 | Journal Article | LibreCat-ID: 48104
Podworny, S. (2022). Vokabeln lernen im Schlaf? Statistische Testprozeduren verstehen. mathematik lehren, 232, 36–40.
LibreCat
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
LibreCat
| DOI
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
LibreCat
| DOI
| Download (ext.)
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
LibreCat
| DOI
| Download (ext.)
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.
LibreCat
| Download (ext.)
2021 | Conference Paper | LibreCat-ID: 48162
Höper, L., Podworny, S., Hüsing, S., Schulte, C., Fleischer, Y., Biehler, R., Frischemeier, D., & Malatyali, H. (2021). Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz. 345–345.
LibreCat
| Download (ext.)
2021 | Journal Article | LibreCat-ID: 35781
Podworny, S., & Biehler, R. (2021). 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, 24(4), 291–311. https://doi.org/10.1080/10986065.2021.1922837
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 35751
Frischemeier, D., Biehler, R., Podworny, S., & Budde, L. (2021). 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, 43(S1), S182–S189. https://doi.org/10.1111/test.12283
LibreCat
| DOI
2021 | Book Chapter | LibreCat-ID: 56204
Frischemeier, D., Podworny, S., & Biehler, R. (2021). 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. https://doi.org/10.1007/978-3-662-62854-6_11
LibreCat
| DOI
| Download (ext.)
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.
LibreCat
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.
LibreCat
| Files available
| Download (ext.)
2019 | Journal Article | LibreCat-ID: 56248
Engel, J., Biehler, R., Frischemeier, D., Podworny, S., Schiller, A., & Martignon, L. (2019). Erratum to: Zivilstatistik: Konzept einer neuen Perspektive auf Data Literacy und Statistical Literacy. AStA Wirtschafts- Und Sozialstatistisches Archiv, 14(1), 113–114. https://doi.org/10.1007/s11943-019-00266-4
LibreCat
| DOI
| Download (ext.)
2019 | Journal Article | LibreCat-ID: 56252
Frischemeier, D., Podworny, S., & Biehler, R. (2019). Chancen und Herausforderungen für die Implementation von Zivilstatistiken in der Lehramtsausbildung. Stochastik in Der Schule, 39(1), 26–33.
LibreCat
2018 | Book (Editor) | LibreCat-ID: 56354
Biehler, R., Budde, L., Frischemeier, D., Heinemann, B., Podworny, S., Schulte, C., & Wassong, T. (Eds.). (2018). Paderborn symposium on data science education at school level 2017: The collected extended abstracts. Universitätsbibliothek Paderborn. Universitätsbibliothek Paderborn.
LibreCat
| Download (ext.)
2018 | Journal Article | LibreCat-ID: 56361
Biehler, R., Frischemeier, D., & Podworny, S. (2018). Elementary preservice teachers’ reasoning about statistical modeling in a civic statistics context. ZDM, 50(7), 1237–1251. https://doi.org/10.1007/s11858-018-1001-x
LibreCat
| DOI
| Download (ext.)
2018 | Journal Article | LibreCat-ID: 56360
Biehler, R., Frischemeier, D., & Podworny, S. (2018). Civic Engagement in Higher Education: A university course in civic statistics for mathematics preservice teachers - Civic Engagement in Higher Education: A university course in civic statistics for mathematics preservice teachers. Zeitschrift Für Hochschulentwicklung, 13(2), 169–182. https://doi.org/10.3217/ZFHE-13-02/11
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| DOI
| Download (ext.)
2018 | Journal Article | LibreCat-ID: 56362
Biehler, R., Frischemeier, D., Podworny, S., Wassong, T., Budde, L., Heinemann, B., & Schulte, C. (2018). Data Science and Big Data in Upper Secondary Schools: A Module to Build up First Components of Statistical Thinking in a Data Science Curriculum. Archives of Data Science, Series A, 5(1), Article 28. https://doi.org/10.5445/KSP/1000087327/28
LibreCat
| DOI
| Download (ext.)
2018 | Conference Paper | LibreCat-ID: 56711
Heinemann, B., Opel, S., Budde, L., Schulte, C., Frischemeier, D., Biehler, R., Podworny, S., & Wassong, T. (2018). Drafting a Data Science Curriculum for Secondary Schools. Proceedings of the 18th Koli Calling International Conference on Computing Education Research, November 22–25, 2018, Koli, Finland. https://doi.org/10.1145/3279720.3279737
LibreCat
| DOI
| Download (ext.)
2018 | Journal Article | LibreCat-ID: 56710
Heinemann, B., Budde, L., Schulte, C., Biehler, R., Frischemeier, D., Podworny, S., & Wassong, T. (2018). Data Science and Big Data in Upper Secondary Schools: What Should Be Discussed From a Perspective of Computer Science Education? Archives of Data Science, Series A, 5(1), 1–18.
LibreCat
| Download (ext.)
2018 | Book Chapter | LibreCat-ID: 56794
Podworny, S., Frischemeier, D., & Biehler, R. (2018). Zivilstatistisches Wissen in der Lehramtsausbildung fördern: Design und Durchführung eines univer-sitären Seminars für Lehramtsstudierende der Mathematik. In Fachgruppe Didaktik der Mathematik der Universität Paderborn (Ed.), Beiträge zum Mathematikunterricht 2018, Band III (pp. 1423–1426). WTM-Verlag.
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2018 | Book Chapter | LibreCat-ID: 56795
Podworny, S., Frischemeier, D., & Biehler, R. (2018). Enhancing civic statistical knowledge of secondary preservice teachers for mathematics. In M. A. Sorto, A. White, & L. Guyot (Eds.), Looking back, looking forward. Proceedings of the Tenth International Conference on Teaching Sta-tistics (ICOTS10, July, 2018), Kyoto, Japan. International Statistical Institute.
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2018 | Book Chapter | LibreCat-ID: 56796
Wassner, C., Podworny, S., & Biehler, R. (2018). Reale Datenkompetenz im Unterricht fördern. In Fachgruppe Didaktik der Mathematik der Universität Paderborn (Ed.), Beiträge zum Mathematikunterricht 2018, Band IV (pp. 1923–1926). WTM-Verlag.
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2018 | Book Chapter | LibreCat-ID: 56708
Frischemeier, D., Podworny, S., & Biehler, R. (2018). Activities for promoting civic statistical knowledge of preservice teachers. In P. Kovács (Ed.), Proceedings of challenges and innovations in statistics education multiplier conference of ProCivicStat. University of Szeged.
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2017 | Journal Article | LibreCat-ID: 56896
Biehler, R., Frischemeier, D., & Podworny, S. (2017). Elementary preservice teachers´ reasoning about modeling a “family factory” with TinkerPlots - A pilot study. Statistics Education Research Journal, 16(2), 244–286.
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2017 | Journal Article | LibreCat-ID: 56895
Biehler, R., Frischemeier, D., & Podworny, S. (2017). Reasoning about models and modelling in the context of informal statistical inference. Statistics Education Research Journal, 16(2), 8–12.
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2017 | Conference Paper | LibreCat-ID: 56894
Biehler, R., Frischemeier, D., & Podworny, S. (2017). Design, realization and evaluation of a university course for preservice teachers on developing statistical reasoning and literacy with a focus on civic statistics. World Statistics Congress 61, Marrakech, Marokko.
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2017 | Book Chapter | LibreCat-ID: 56906
Podworny, S., Frischemeier, D., & Biehler, R. (2017). Design, Realization and Evaluation of a statistics course for preservice teachers for primary school in Germany. In A. Molnar (Ed.), Teaching Statistics in a Data Rich World. Proceedings of the Satellite Conference of the International Association of Statistics Education (IASE), July 2017.
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2016 | Journal Article | LibreCat-ID: 56974
Biehler, R., Frischemeier, D., & Podworny, S. (2016). Stochastische Simulationen mit TinkerPlots–Von einfachen Zufallsexperimenten zum informellen Hypothesentesten. Stochastik in der Schule, 36(1), 22–27.
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2015 | Book Chapter | LibreCat-ID: 57044
Biehler, R., Frischemeier, D., & Podworny, S. (2015). Preservice teachers reasoning about uncertainty in the context of randomization tests. In A. Zieffler & E. Fry (Eds.), Reasoning about uncertainty: Learning and teaching informal inferential reasoning (pp. 129–162). Catalyst Press.
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2014 | Book Chapter | LibreCat-ID: 57420
Podworny, S., & Biehler, R. (2014). A learning trajectory on hypothesis testing with TinkerPlots - design and exploratory evaluation. In K. Makar, B. d. Sousa, & R. Gould (Eds.), Sustainability in statistics education. Proceedings of the Ninth International Conference on Teaching Statistics (ICOTS9, July, 2014), Flagstaff, Arizona, USA. ISA.
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2013 | Book Chapter | LibreCat-ID: 57427
Biehler, R., & Podworny, S. (2013). TinkerPlots 2.0: von realen Handlungen über Computersimulationen zum stochastischen Denken. In G. Greefrath, F. Käpnick, & M. Stein (Eds.), Beiträge zum Mathematikunterricht 2013, Band 1 (pp. 144–147). WTM-Verlag.
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