Franz Yannik Fleischer
Fakultät für Elektrotechnik, Informatik und Mathematik
FG Didaktik der Mathematik -> AG Biehler
yanflei@campus.uni-paderborn.deID
10 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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2024 | Book Chapter | LibreCat-ID: 57950
Fleischer Y, Biehler R. Intuitiver Zugang zu datenbasierten Entscheidungsbäumen. In: Ebers P, Rösken F, Barzel B, Büchter A, Schacht F, Scherer P, eds. Beiträge zum Mathematikunterricht 2024 - 57. Jahrestagung der Gesellschaft für Didaktik der Mathematik. WTM-Verlag; 2024:167-170. doi:10.37626/GA9783959872782.0
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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
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 35672
Fleischer FY, Biehler R, Schulte C. Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. Statistics Education Research Journal. 2022;21(2). doi:10.52041/serj.v21i2.61
LibreCat
| DOI
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.
LibreCat
| Download (ext.)
2021 | Journal Article | LibreCat-ID: 35737
Biehler R, Fleischer FY. Introducing students to machine learning with decision trees using CODAP and Jupyter Notebooks. Teaching Statistics. 2021;43:S133-S142. doi:10.1111/test.12279
LibreCat
| DOI
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.
LibreCat
2020 | Book Chapter | LibreCat-ID: 35823
Fleischer FY, Biehler R. Automatisierte Entscheidungsverfahren als Thema im allgemeinbildenden Mathematikunterricht. In: Siller H-S, Weigel W, Wörler JF, eds. Beiträge zum Mathematikunterricht 2020. WTM-Verlag; 2020. doi:10.17877/DE290R-21301
LibreCat
| DOI
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.
LibreCat
| Files available
| Download (ext.)
10 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
LibreCat
| DOI
| Download (ext.)
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
LibreCat
| DOI
| Download (ext.)
2024 | Book Chapter | LibreCat-ID: 57950
Fleischer Y, Biehler R. Intuitiver Zugang zu datenbasierten Entscheidungsbäumen. In: Ebers P, Rösken F, Barzel B, Büchter A, Schacht F, Scherer P, eds. Beiträge zum Mathematikunterricht 2024 - 57. Jahrestagung der Gesellschaft für Didaktik der Mathematik. WTM-Verlag; 2024:167-170. doi:10.37626/GA9783959872782.0
LibreCat
| Files available
| DOI
| Download (ext.)
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
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 35672
Fleischer FY, Biehler R, Schulte C. Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. Statistics Education Research Journal. 2022;21(2). doi:10.52041/serj.v21i2.61
LibreCat
| DOI
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.
LibreCat
| Download (ext.)
2021 | Journal Article | LibreCat-ID: 35737
Biehler R, Fleischer FY. Introducing students to machine learning with decision trees using CODAP and Jupyter Notebooks. Teaching Statistics. 2021;43:S133-S142. doi:10.1111/test.12279
LibreCat
| DOI
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.
LibreCat
2020 | Book Chapter | LibreCat-ID: 35823
Fleischer FY, Biehler R. Automatisierte Entscheidungsverfahren als Thema im allgemeinbildenden Mathematikunterricht. In: Siller H-S, Weigel W, Wörler JF, eds. Beiträge zum Mathematikunterricht 2020. WTM-Verlag; 2020. doi:10.17877/DE290R-21301
LibreCat
| DOI
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.
LibreCat
| Files available
| Download (ext.)