Young students’ engagement with data to create decision trees
S. Podworny, R. Biehler, Y. Fleischer, ZDM – Mathematics Education (2025).

Exploring students’ constructions of data-based decision trees after an introductory teaching unit on machine learning
Y. Fleischer, R. Biehler, ZDM – Mathematics Education 57 (2025).

Explorative Datenanalyse in der Schule – Analyse der Mediennutzung von Jugendlichen mit den YOUPB Daten
S. Podworny, Y. Fleischer, R. Biehler, Stochastik in der Schule 45 (2025) 9–16.

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).

Data and Social Worlds: How Data Science Education Supports Civic Participation and Social Discourse
K.M. Miller, J.L. Polman, S.A. Yoon, J. Shim, V.Y. Leung, Y. Nguyen, A. Rubin, T. Higgins, J.M. Karch, J.K. Hammerman, C. Matuk, K. DesPortes, A. Amato, S. Dikker, X. Ochoa, E. Romero, S. Podworny, Y. Fleischer, R. Biehler, J.T. Walker, A. Barany, A. Acquah, A. Scarola, S. Reza, T.C. Tran, R. Vacca, M. Silander, P.J. Woods, C. Fernandez, A. Eloy, P. Blikstein, R. de Deus Lopes, J. Radinsky, I. Tabak, V.R. Lee, D. Demszky, S. Levine, J. Louie, 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, International Society of the Learning Sciences, 2024, pp. 1863–1870.

Intuitiver Zugang zu datenbasierten Entscheidungsbäumen
Y. Fleischer, R. Biehler, in: P. Ebers, F. Rösken, B. Barzel, A. Büchter, F. Schacht, P. Scherer (Eds.), Beiträge zum Mathematikunterricht 2024 - 57. Jahrestagung der Gesellschaft für Didaktik der Mathematik., WTM-Verlag, Münster, 2024, pp. 167–170.

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) 3–2.

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
R. Biehler, F.Y. Fleischer, L. Budde, D. Frischemeier, D. Gerstenberger, S. Podworny, C. Schulte, 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, Voorborg, The Netherlands, 2020.

Automatisierte Entscheidungsverfahren als Thema im allgemeinbildenden Mathematikunterricht
F.Y. Fleischer, R. Biehler, in: H.-S. Siller, W. Weigel, J.F. Wörler (Eds.), Beiträge zum Mathematikunterricht 2020, WTM-Verlag, Münster, 2020.

Data Science Education in Secondary School: How to Develop Statistical Reasoning When Exploring Data Using CODAP
L. Budde, D. Frischemeier, R. Biehler, F.Y. Fleischer, D. Gerstenberger, S. Podworny, C. Schulte, 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, Voorborg, The Netherlands, 2020.