- E-Mail:
- yanflei@math.uni-paderborn.de
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- +49 5251 60-2611
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Warburger Str. 100
33098 Paderborn - Raum:
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Forschung
Publikationen
Aktuelle Publikationen
Teaching and Learning to Construct Data-Based Decision Trees Using Data Cards as the First Introduction to Machine Learning in Middle School
F.Y. Fleischer, S. Podworny, R. Biehler, Statistics Education Research Journal 23 (2024).
Jupyter Notebooks for Teaching, Learning, and Doing Data Science
F.Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, C. Schulte, 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, 2022.
Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks
F.Y. Fleischer, R. Biehler, C. Schulte, Statistics Education Research Journal 21 (2022).
An example of rich, real and multivariate survey data for use in school
S. Podworny, F.Y. Fleischer, D. Stroop, R. Biehler, in: 2022.
Introducing students to machine learning with decision trees using CODAP and Jupyter Notebooks
R. Biehler, F.Y. Fleischer, Teaching Statistics 43 (2021) S133–S142.
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