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131 Publications
2022 | Conference Paper | LibreCat-ID: 38158
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.
LibreCat
2022 | Book Chapter | LibreCat-ID: 39080
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.
LibreCat
2022 | Conference Paper | LibreCat-ID: 38160
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
| DOI
2022 | Journal Article | LibreCat-ID: 38162
Huhmann, T., Eilerts, K., & Winkelnkemper, F. (2022). Pentomino Digital - Mit Einer App Geometrie Lernen. Mathematik Differenziert, 4–2022, 42–45.
LibreCat
2022 | Conference Paper | LibreCat-ID: 40510
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
| DOI
2022 | Conference Paper | LibreCat-ID: 30937
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
| DOI
| Download (ext.)
2022 | Journal Article | LibreCat-ID: 35672
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
| DOI
2022 | Conference Paper | LibreCat-ID: 35674
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
| DOI
2021 | Conference (Editor) | LibreCat-ID: 25521
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
LibreCat
| DOI
2021 | Conference (Editor) | LibreCat-ID: 25522
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
LibreCat
| DOI