Hüsing, Sven, et al. “Using Worked Examples for Engaging in Epistemic Programming Projects.”10.1145/3626252.3630961__Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1, ACM, 2024, doi:10.1145/3626252.3630961.

Hüsing, Sven, et al. “Epistemic Programming.”10.5040/9781350296947.ch-022__Computer Science Education, Bloomsbury Academic, 2023, doi:10.5040/9781350296947.ch-022.

Sparmann, Sören, et al. “JuGaze: A Cell-Based Eye Tracking and Logging Tool for Jupyter Notebooks.”10.1145/3631802.3631824__Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, ACM, 2023, doi:10.1145/3631802.3631824.

PODWORNY, SUSANNE, et al. “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING.”10.52041/serj.v21i2.46__STATISTICS EDUCATION RESEARCH JOURNAL, vol. 21, no. 2, 6, International Association for Statistical Education, 2022, doi:10.52041/serj.v21i2.46.

Podworny, Susanne, et al. “Grade 6 Students’ Perception and Use of Data-Based Decision Trees.”10.52041/iase.icots11.t2h3__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.t2h3.

Hüsing, Sven, and Susanne Podworny. “Computational Essays as an Approach for Reproducible Data Analysis in Lower Secondary School.”10.52041/iase.zwwoh__Proceedings of the IASE 2021 Satellite Conference, International Association for Statistical Education, 2022, doi:10.52041/iase.zwwoh.

Fleischer, Yannik, et al. “Jupyter Notebooks for Teaching, Learning, and Doing Data Science.”10.52041/iase.icots11.t10e3__Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics, edited by S. A. Peters et al., International Association for Statistical Education, 2022, doi:10.52041/iase.icots11.t10e3.

Podworny, Susanne, et al. “Using Data Cards for Teaching Data Based Decision Trees in Middle School.”10.1145/3488042.3489966__Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, edited by Otto Seppälä and Andrew Petersen, ACM, 2021, p. 39:1-39:3, doi:10.1145/3488042.3489966.

Hüsing, Sven. “Epistemic Programming - An Insight-Driven Programming Concept for Data Science.”10.1145/3488042.3490510__Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, edited by Otto Seppälä and Andrew Petersen, ACM, 2021, p. 42:1-42:3, doi:10.1145/3488042.3490510.

Bovermann, Klaus, et al. “Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen.”10.18420/infos2021‑w283__19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, edited by Ludger Humbert, vol. P-313, Gesellschaft für Informatik, Bonn, 2021, p. 319, doi:10.18420/infos2021‑w283.

Höper, Lukas, et al. “Methodik Für Datenprojekte Im Informatikunterricht.” LOG IN, vol. 41, no. 1, LOG IN Verlag, 2021, pp. 31–38.

Podworny, Susanne, et al. “Data Science Ab Klasse 5–Konkrete Unterrichtsvorschläge Für Künstliche Intelligenz Unplugged Und Datenbewusstsein.” INFOS 2021–19. GI-Fachtagung Informatik Und Schule, Gesellschaft für Informatik, Bonn, 2021.

Höper, Lukas, et al. “Zur Neuen Bedeutung von Daten in Data Science Und Künstlicher Intelligenz.” INFOS 2021–19. GI-Fachtagung Informatik Und Schule, Gesellschaft für Informatik, Bonn, 2021.

Hüsing, Sven, et al. “Faszination 3D-Film: Entwicklung Einer 3D-Konstruktion.” Mathematik Lehren, vol. 2021, no. 228, Friedrich Verlag, 2021, pp. 23–27.

Hüsing, Sven, et al. “Faszination 3D-Film: Entwicklung einer 3D-Konstruktion.” mathematik lehren, vol. 2021, no. 228, Friedrich Verlag, 2021, pp. 23–27.