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142 Publications
2024 | Conference Paper | LibreCat-ID: 57738
Hüsing, S., & Schönbrodt, S. (2024). Förderung von Epistemic Agency – Entwicklung von Computational Essays bei der Bearbeitung datengetriebener, realer Problemstellungen. https://doi.org/10.17877/DE290R-25018
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2023 | Conference Paper | LibreCat-ID: 47448
Terfloth, L., Schaffer, M., Buhl, H. M., & Schulte, C. (2023). Adding Why to What? Analyses of an Everyday Explanation. 1st World Conference on eXplainable Artificial Intelligence (xAI 2023), Lisboa. https://doi.org/10.1007/978-3-031-44070-0_13
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2023 | Conference Paper | LibreCat-ID: 52380
Sparmann, S., Hüsing, S., & Schulte, C. (2023). JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks. Proceedings of the 23rd Koli Calling International Conference on Computing Education Research. https://doi.org/10.1145/3631802.3631824
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2023 | Book Chapter | LibreCat-ID: 40511
Hüsing, S., Schulte, C., & Winkelnkemper, F. (2023). Epistemic Programming. In Computer Science Education. Bloomsbury Academic. https://doi.org/10.5040/9781350296947.ch-022
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2023 | Journal Article | LibreCat-ID: 46186 | 
Höper, L., & Schulte, C. (2023). Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht. MNU journal, 76(4), 314–320.
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2023 | Journal Article | LibreCat-ID: 47151 |
Winkelnkemper, F., Höper, L., & Schulte, C. (2023). ARIadne – An Explanation Model for Digital Artefacts. Informatics in Education. https://doi.org/10.15388/infedu.2024.09
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2022 | Journal Article | LibreCat-ID: 32335
PODWORNY, S., Hüsing, S., & SCHULTE, C. (2022). A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING. STATISTICS EDUCATION RESEARCH JOURNAL, 21(2), Article 6. https://doi.org/10.52041/serj.v21i2.46
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2022 | Conference Paper | LibreCat-ID: 35674
Fleischer, F. 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
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2022 | Journal Article | LibreCat-ID: 35672
Fleischer, F. 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
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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.
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