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 .

L. Höper and C. Schulte, “Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies,”10.15388/infedu.2024.19__Informatics in Education, 2024, doi:10.15388/infedu.2024.19 .

S. Hüsing, C. Schulte, and F. Winkelnkemper, “Epistemic Programming,” in Computer Science Education, Bloomsbury Academic, 2023.

L. Höper and C. Schulte, “Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht,” MNU journal, vol. 76, no. 4, pp. 314–320, 2023.

F. Winkelnkemper, L. Höper, and C. Schulte, “ARIadne – An Explanation Model for Digital Artefacts,”10.15388/infedu.2024.09__Informatics in Education, 2023, doi:10.15388/infedu.2024.09 .

L. Höper and C. Schulte, “The data awareness framework as part of data literacies in K-12 education,”10.1108/ils-06-2023-0075__Information and Learning Sciences, 2023, doi:10.1108/ils-06-2023-0075 .

L. Terfloth, M. Schaffer, H. M. Buhl, and C. Schulte, “Adding Why to What? Analyses of an Everyday Explanation,”10.1007/978-3-031-44070-0_13__presented at the 1st World Conference on eXplainable Artificial Intelligence (xAI 2023), Lisboa, 2023, doi:10.1007/978-3-031-44070-0_13 .

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 .

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 .

L. Höper, S. Podworny, C. Schulte, and D. Frischemeier, “Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network,”10.52041/iase.nkppy__2022, doi:10.52041/iase.nkppy .

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

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

T. Huhmann and F. Winkelnkemper, “SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS,”10.21125/edulearn.2022.2416__in EDULEARN22 Proceedings, 2022, pp. 10017–10026, doi:10.21125/edulearn.2022.2416 .

T. Huhmann, K. Eilerts, and F. Winkelnkemper, “Pentomino Digital - Mit Einer App Geometrie Lernen,” Mathematik differenziert, no. 4–2022, pp. 42–45, 2022.

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 .

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 .

Y. Fleischer, R. Biehler, and C. Schulte, “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks,”10.52041/serj.v21i2.61__Statistics Education Research Journal, vol. 21, no. 2, Art. no. 7, 2022, doi:10.52041/serj.v21i2.61 .

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 .

C. Schulte, B. A. Becker, M. Divitini, and 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.

C. Schulte, B. A. Becker, M. Divitini, and 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.