Winkelnkemper, Felix, Tobias Huhmann, Dominik Bechinie, Katja Eilerts, Michael Lenke, and Carsten 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, 1407–1413, 2022.
LibreCat: /record/38158

Schulte, Carsten, and Felix Winkelnkemper. “Digitalisierung Als Chance Und Herausforderung - Bemerkungen Aus Der Didaktik Der Informatik.” In Theologie Im Übergang - Identität - Digitalisierung - Dialog, 117–135. Kirche in Zeiten Der Veränderung. Freiburg im Breisgau: Herder, 2022.
LibreCat: /record/39080

Huhmann, Tobias, and Felix Winkelnkemper. “SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS.”https://doi.org/10.21125/edulearn.2022.2416__In EDULEARN22 Proceedings, 10017–10026, 2022.https://doi.org/10.21125/edulearn.2022.2416 .
LibreCat: /record/38160
DOI: 10.21125/edulearn.2022.2416

Huhmann, Tobias, Katja Eilerts, and Felix Winkelnkemper. “Pentomino Digital - Mit Einer App Geometrie Lernen.” Mathematik Differenziert, no. 4–2022 (2022): 42–45.
LibreCat: /record/38162

Podworny, Susanne, Yannik Fleischer, and Sven Hüsing. “Grade 6 Students’ Perception and Use of Data-Based Decision Trees.”https://doi.org/10.52041/iase.icots11.t2h3__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.https://doi.org/10.52041/iase.icots11.t2h3 .
LibreCat: /record/40510
DOI: 10.52041/iase.icots11.t2h3

Hüsing, Sven, and Susanne Podworny. “Computational Essays as an Approach for Reproducible Data Analysis in Lower Secondary School.”https://doi.org/10.52041/iase.zwwoh__In Proceedings of the IASE 2021 Satellite Conference. International Association for Statistical Education, 2022.https://doi.org/10.52041/iase.zwwoh .
LibreCat: /record/30937
DOI: 10.52041/iase.zwwoh

Fleischer, Yannik, Rolf Biehler, and Carsten Schulte. “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks.”https://doi.org/10.52041/serj.v21i2.61__Statistics Education Research Journal 21, no. 2 (2022).https://doi.org/10.52041/serj.v21i2.61 .
LibreCat: /record/35672
DOI: 10.52041/serj.v21i2.61

Fleischer, Yannik, Sven Hüsing, Rolf Biehler, Susanne Podworny, and Carsten Schulte. “Jupyter Notebooks for Teaching, Learning, and Doing Data Science.”https://doi.org/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, edited by S. A. Peters, L. Zapata-Cardona, F. Bonafini, and A. Fan. International Association for Statistical Education, 2022.https://doi.org/10.52041/iase.icots11.t10e3 .
LibreCat: /record/35674
DOI: 10.52041/iase.icots11.t10e3

Schulte, Carsten, Brett A. Becker, Monica Divitini, and Erik 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.https://doi.org/10.1145/3456565 .
LibreCat: /record/25521
DOI: 10.1145/3456565

Schulte, Carsten, Brett A. Becker, Monica Divitini, and Erik 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.https://doi.org/10.1145/3430665 .
LibreCat: /record/25522
DOI: 10.1145/3430665