K-12 Data Science Education: Outcomes of a National Workshop; International Perspectives; and Next Steps for the Learning Sciences
M. Wilkerson, D. Ben-Zvi, M. Dvir, C. Matuk, S. Podworny, A. Stephens, L. Zapata-Cardona, in: J.D. Slotta, E.S. Charles (Eds.), General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining Our Community, ISLS, Montreal, Canada, 2023, pp. 76–79.
LibreCat: /record/48100

 Minisymposium Data Science
S. Podworny, D. Frischemeier, 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, Münster, 2023.
LibreCat: /record/48101

 An approach to teaching data science in middle school
S. Podworny, Y. Fleischer, 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), Danish School of Education, Aarhus, Denmark, 2022, pp. 308–315.
LibreCat: /record/48106

An example of rich, real and multivariate survey data for use in school
S. Podworny, Y. Fleischer, D. Stroop, R. Biehler, in: 2022.
LibreCat: /record/48107

Vokabeln lernen im Schlaf? Statistische Testprozeduren verstehen
S. Podworny, mathematik lehren 232 (2022) 36–40.
LibreCat: /record/48104