S. Hüsing, C. Schulte, S. Sparmann, and M. Bolte, “Using Worked Examples for Engaging in Epistemic Programming Projects,”10.1145/3626252.3630961__2024, doi:10.1145/3626252.3630961 .
LibreCat: /record/52379
DOI: 10.1145/3626252.3630961

S. Hüsing, C. Schulte, and F. Winkelnkemper, “Epistemic Programming,” in Computer Science Education, Bloomsbury Academic, 2023.
LibreCat: /record/40511
DOI: 10.5040/9781350296947.ch-022

S. Sparmann, S. Hüsing, and C. Schulte, “JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks,”10.1145/3631802.3631824__2023, doi:10.1145/3631802.3631824 .
LibreCat: /record/52380
DOI: 10.1145/3631802.3631824

S. PODWORNY, S. Hüsing, and C. SCHULTE, “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, Art. no. 6, 2022, doi:10.52041/serj.v21i2.46 .
LibreCat: /record/32335
DOI: 10.52041/serj.v21i2.46

S. Podworny, Y. Fleischer, and S. Hüsing, “Grade 6 Students’ Perception and Use of Data-Based Decision Trees,”10.52041/iase.icots11.t2h3__2022, doi:10.52041/iase.icots11.t2h3 .
LibreCat: /record/40510
DOI: 10.52041/iase.icots11.t2h3

S. Hüsing and S. Podworny, “Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School,”10.52041/iase.zwwoh__2022, doi:10.52041/iase.zwwoh .
LibreCat: /record/30937
DOI: 10.52041/iase.zwwoh

Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, and C. Schulte, “Jupyter Notebooks for Teaching, Learning, and Doing Data Science,”10.52041/iase.icots11.t10e3__in Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics, 2022, doi:10.52041/iase.icots11.t10e3 .
LibreCat: /record/35674
DOI: 10.52041/iase.icots11.t10e3

S. Podworny et al., “Using data cards for teaching data based decision trees in middle school,”10.1145/3488042.3489966__in Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, 2021, p. 39:1-39:3, doi:10.1145/3488042.3489966 .
LibreCat: /record/27493
DOI: 10.1145/3488042.3489966

S. Hüsing, “Epistemic Programming - An insight-driven programming concept for Data Science,”10.1145/3488042.3490510__in Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, 2021, p. 42:1-42:3, doi:10.1145/3488042.3490510 .
LibreCat: /record/27494
DOI: 10.1145/3488042.3490510

K. Bovermann, Y. Fleischer, S. Hüsing, and C. Opitz, “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__in 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, 2021, vol. P-313, p. 319, doi:10.18420/infos2021‑w283 .
LibreCat: /record/27495
DOI: 10.18420/infos2021‑w283

L. Höper, S. Hüsing, H. Malatyali, C. Schulte, and L. Budde, “Methodik für Datenprojekte im Informatikunterricht,” LOG IN, vol. 41, no. 1, pp. 31–38, 2021.
LibreCat: /record/29702

S. Podworny, L. Höper, Y. Fleischer, S. Hüsing, and C. Schulte, “Data Science ab Klasse 5–Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein,” INFOS 2021–19. GI-Fachtagung Informatik und Schule, 2021.
LibreCat: /record/29710

L. Höper et al., “Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz,” INFOS 2021–19. GI-Fachtagung Informatik und Schule, 2021.
LibreCat: /record/29712

S. Hüsing, N. Weiser, and R. Biehler, “Faszination 3D-Film: Entwicklung einer 3D-Konstruktion,” mathematik lehren, vol. 2021, no. 228, pp. 23–27, 2021.
LibreCat: /record/40512

S. Hüsing, N. Weiser, and R. Biehler, “Faszination 3D-Film: Entwicklung einer 3D-Konstruktion,” mathematik lehren, vol. 2021, no. 228, pp. 23–27, 2021.
LibreCat: /record/35763