Hüsing, S., Schulte, C., Sparmann, S., &; Bolte, M. (2024). Using Worked Examples for Engaging in Epistemic Programming Projects. Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1.https://doi.org/10.1145/3626252.3630961 
LibreCat: /record/52379
DOI: 10.1145/3626252.3630961

Hüsing, S., Schulte, C., &; Winkelnkemper, F. (2023). Epistemic Programming. In Computer Science Education. Bloomsbury Academic.https://doi.org/10.5040/9781350296947.ch-022 
LibreCat: /record/40511
DOI: 10.5040/9781350296947.ch-022

Sparmann, S., Hüsing, S., &; Schulte, C. (2023). JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks. Proceedings of the 23rd Koli Calling International Conference on Computing Education Research.https://doi.org/10.1145/3631802.3631824 
LibreCat: /record/52380
DOI: 10.1145/3631802.3631824

PODWORNY, S., Hüsing, S., &; SCHULTE, C. (2022). A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING. STATISTICS EDUCATION RESEARCH JOURNAL, 21(2), Article 6.https://doi.org/10.52041/serj.v21i2.46 
LibreCat: /record/32335
DOI: 10.52041/serj.v21i2.46

Podworny, S., Fleischer, Y., &; Hüsing, S. (2022). Grade 6 Students’ Perception and Use of Data-Based Decision Trees. Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics.https://doi.org/10.52041/iase.icots11.t2h3 
LibreCat: /record/40510
DOI: 10.52041/iase.icots11.t2h3

Hüsing, S., &; Podworny, S. (2022). Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School. Proceedings of the IASE 2021 Satellite Conference.https://doi.org/10.52041/iase.zwwoh 
LibreCat: /record/30937
DOI: 10.52041/iase.zwwoh

Fleischer, Y., Hüsing, S., Biehler, R., Podworny, S., &; Schulte, C. (2022). Jupyter Notebooks for Teaching, Learning, and Doing Data Science. 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.https://doi.org/10.52041/iase.icots11.t10e3 
LibreCat: /record/35674
DOI: 10.52041/iase.icots11.t10e3

Podworny, S., Fleischer, Y., Hüsing, S., Biehler, R., Frischemeier, D., Höper, L., &; Schulte, C. (2021). Using data cards for teaching data based decision trees in middle school. In O. Seppälä &; A. Petersen (Eds.), Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021 (p. 39:1-39:3). ACM.https://doi.org/10.1145/3488042.3489966 
LibreCat: /record/27493
DOI: 10.1145/3488042.3489966

Hüsing, S. (2021). Epistemic Programming - An insight-driven programming concept for Data Science. In O. Seppälä &; A. Petersen (Eds.), Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021 (p. 42:1-42:3). ACM.https://doi.org/10.1145/3488042.3490510 
LibreCat: /record/27494
DOI: 10.1145/3488042.3490510

Bovermann, K., Fleischer, Y., Hüsing, S., &; Opitz, C. (2021). Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen. In L. Humbert (Ed.), 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021: Vol. P-313 (p. 319). Gesellschaft für Informatik, Bonn.https://doi.org/10.18420/infos2021‑w283 
LibreCat: /record/27495
DOI: 10.18420/infos2021‑w283

Höper, L., Hüsing, S., Malatyali, H., Schulte, C., &; Budde, L. (2021). Methodik für Datenprojekte im Informatikunterricht. LOG IN, 41(1), 31–38.
LibreCat: /record/29702

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

Höper, L., Podworny, S., Hüsing, S., Schulte, C., Fleischer, Y., Biehler, R., Frischemeier, D., &; Malatyali, H. (2021). Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz. INFOS 2021–19. GI-Fachtagung Informatik Und Schule.
LibreCat: /record/29712

Hüsing, S., Weiser, N., &; Biehler, R. (2021). Faszination 3D-Film: Entwicklung einer 3D-Konstruktion. Mathematik Lehren, 2021(228), 23–27.
LibreCat: /record/40512

Hüsing, S., Weiser, N., &; Biehler, R. (2021). Faszination 3D-Film: Entwicklung einer 3D-Konstruktion. mathematik lehren, 2021(228), 23–27.
LibreCat: /record/35763