Winkelnkemper, F., Huhmann, T., Bechinie, D., Eilerts, K., Lenke, M., &; Schulte, C. (2022). Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic Feedback Capabilities. Society for Information Technology &; Teacher Education International Conference, 1407–1413.
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Schulte, C., &; Winkelnkemper, F. (2022). Digitalisierung als Chance und Herausforderung - Bemerkungen aus der Didaktik der Informatik. In Theologie im Übergang - Identität - Digitalisierung - Dialog (pp. 117–135). Herder.
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Huhmann, T., &; Winkelnkemper, F. (2022). SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS. EDULEARN22 Proceedings, 10017–10026.https://doi.org/10.21125/edulearn.2022.2416 
LibreCat: /record/38160
DOI: 10.21125/edulearn.2022.2416

Huhmann, T., Eilerts, K., &; Winkelnkemper, F. (2022). Pentomino Digital - Mit Einer App Geometrie Lernen. Mathematik Differenziert, 4–2022, 42–45.
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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 
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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., Biehler, R., &; Schulte, C. (2022). Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. Statistics Education Research Journal, 21(2), Article 7.https://doi.org/10.52041/serj.v21i2.61 
LibreCat: /record/35672
DOI: 10.52041/serj.v21i2.61

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

Schulte, C., A. Becker, B., Divitini, M., &; Barendsen, E. (Eds.). (2021). ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports. ACM.https://doi.org/10.1145/3456565 
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Schulte, C., A. Becker, B., Divitini, M., &; Barendsen, E. (Eds.). (2021). ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021. ACM.https://doi.org/10.1145/3430665 
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Podworny, S., Höper, L., Fleischer, Y., Hüsing, S., &; Schulte, C. (2021). Data Science ab Klasse 5 - Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein. In L. Humbert (Ed.), 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021: Vol. P-313 (p. 327). Gesellschaft für Informatik, Bonn.https://doi.org/10.18420/infos2021‑w278 
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DOI: 10.18420/infos2021‑w278

Höper, L., &; Schulte, C. (2021). Datenbewusstsein: Aufmerksamkeit für die eigenen Daten. In L. Humbert (Ed.), 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021: Vol. P-313 (pp. 73–82). Gesellschaft für Informatik, Bonn.https://doi.org/10.18420/infos2021‑f235 
LibreCat: /record/25524
DOI: 10.18420/infos2021‑f235

Große-Bölting, G., Gerstenberger, D. K.-H., Gildehaus, L., Mühling, A., &; Schulte, C. (2021). Identity in K-12 Computer Education Research: A Systematic Literature Review. In A. J. Ko, J. Vahrenhold, R. McCauley, &; M. Hauswirth (Eds.), ICER 2021: ACM Conference on International Computing Education Research, Virtual Event, USA, August 16-19, 2021 (pp. 169–183). ACM.https://doi.org/10.1145/3446871.3469757 
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DOI: 10.1145/3446871.3469757

Schulte, C., &; A. Becker, B. (2021). ITiCSE 2021 recap. ACM SIGCSE Bull., 53(3), 3–4.https://doi.org/10.1145/3483403.3483405 
LibreCat: /record/25527
DOI: 10.1145/3483403.3483405

Höper, L. (2021). Developing and Evaluating the Concept Data Awareness for K12 Computing Education. 21st Koli Calling International Conference on Computing Education Research.https://doi.org/10.1145/3488042.3490509 
LibreCat: /record/27491
DOI: 10.1145/3488042.3490509

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 
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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 
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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 
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DOI: 10.18420/infos2021‑w283

Höper, L., &; Schulte, C. (2021). Datenbewusstsein im Kontext digitaler Kompetenzen für einen selbstbestimmten Umgang mit datengetriebenen digitalen Artefakten. In Gesellschaft für Informatik e.V. (Ed.), 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science &; Sustainability, Berlin, Germany, 27. September - 1. Oktober, 2021 (pp. 1623–1632). Gesellschaft für Informatik.https://doi.org/10.18420/informatik2021-136 
LibreCat: /record/29706
DOI: 10.18420/informatik2021-136

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