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15 Publications


2022 | Conference Paper | LibreCat-ID: 30937
Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School
S. Hüsing, S. Podworny, in: Proceedings of the IASE 2021 Satellite Conference, International Association for Statistical Education, 2022.
LibreCat | DOI | Download (ext.)
 

2022 | Conference Paper | LibreCat-ID: 35674
Jupyter Notebooks for Teaching, Learning, and Doing Data Science
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.
LibreCat | DOI
 

2021 | Conference Paper | LibreCat-ID: 27493
Using data cards for teaching data based decision trees in middle school
S. Podworny, Y. Fleischer, S. Hüsing, R. Biehler, D. Frischemeier, L. Höper, C. Schulte, in: O. Seppälä, A. Petersen (Eds.), Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, ACM, 2021, p. 39:1-39:3.
LibreCat | DOI
 

2021 | Conference Paper | LibreCat-ID: 27494
Epistemic Programming - An insight-driven programming concept for Data Science
S. Hüsing, in: O. Seppälä, A. Petersen (Eds.), Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, ACM, 2021, p. 42:1-42:3.
LibreCat | DOI
 

2021 | Conference Paper | LibreCat-ID: 27495
Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen
K. Bovermann, Y. Fleischer, S. Hüsing, C. Opitz, in: L. Humbert (Ed.), 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, Gesellschaft für Informatik, Bonn, 2021, p. 319.
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