Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic Feedback Capabilities
F. Winkelnkemper, T. Huhmann, D. Bechinie, K. Eilerts, M. Lenke, C. Schulte, in: Society for Information Technology &; Teacher Education International Conference, 2022, pp. 1407–1413.

Digitalisierung als Chance und Herausforderung - Bemerkungen aus der Didaktik der Informatik
C. Schulte, F. Winkelnkemper, in: Theologie Im Übergang - Identität - Digitalisierung - Dialog, Herder, Freiburg im Breisgau, 2022, pp. 117–135.

SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS
T. Huhmann, F. Winkelnkemper, in: EDULEARN22 Proceedings, 2022, pp. 10017–10026.

Pentomino Digital - Mit Einer App Geometrie Lernen
T. Huhmann, K. Eilerts, F. Winkelnkemper, Mathematik Differenziert (2022) 42–45.

Grade 6 Students’ Perception and Use of Data-Based Decision Trees
S. Podworny, Y. Fleischer, S. Hüsing, in: 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.

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.

Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks
Y. Fleischer, R. Biehler, C. Schulte, Statistics Education Research Journal 21 (2022).

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.

ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports
C. Schulte, B. A. Becker, M. Divitini, E. Barendsen, eds., 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, 2021.

ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021
C. Schulte, B. A. Becker, M. Divitini, E. Barendsen, eds., ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021, ACM, 2021.

Data Science ab Klasse 5 - Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein
S. Podworny, L. Höper, Y. Fleischer, S. Hüsing, C. Schulte, in: L. Humbert (Ed.), 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, Gesellschaft für Informatik, Bonn, 2021, p. 327.

Datenbewusstsein: Aufmerksamkeit für die eigenen Daten
L. Höper, C. Schulte, in: L. Humbert (Ed.), 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, Gesellschaft für Informatik, Bonn, 2021, pp. 73–82.

Identity in K-12 Computer Education Research: A Systematic Literature Review
G. Große-Bölting, D.K.-H. Gerstenberger, L. Gildehaus, A. Mühling, C. Schulte, 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, ACM, 2021, pp. 169–183.

ITiCSE 2021 recap
C. Schulte, B. A. Becker, ACM SIGCSE Bull. 53 (2021) 3–4.

Developing and Evaluating the Concept Data Awareness for K12 Computing Education
L. Höper, in: 21st Koli Calling International Conference on Computing Education Research, Association for Computing Machinery, New York, NY, USA, 2021.

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.

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.

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.

Datenbewusstsein im Kontext digitaler Kompetenzen für einen selbstbestimmten Umgang mit datengetriebenen digitalen Artefakten
L. Höper, C. Schulte, 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, Gesellschaft für Informatik, Bonn, 2021, pp. 1623–1632.

Methodik für Datenprojekte im Informatikunterricht
L. Höper, S. Hüsing, H. Malatyali, C. Schulte, L. Budde, LOG IN 41 (2021) 31–38.