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146 Publications


2021 | Book Chapter | LibreCat-ID: 29720
Passey, D., Brinda, T., Cornu, B., Holvikivi, J., Lewin, C., Magenheim, J., Morel, R., Osorio, J., Tatnall, A., Thompson, B., & Webb, M. (2021). Computers and Education – Recognising Opportunities and Managing Challenges. In M. Goedicke, E. Neuhold, & K. Rannenberg (Eds.), Advancing Research in Information and Communication Technology: Vol. AICT-600 (pp. 129–152). Springer, Cham. https://doi.org/10.1007/978-3-030-81701-5_5
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2021 | Journal Article | LibreCat-ID: 29710
Podworny, S., Höper, L., Fleischer, Y., Hüsing, S., & Schulte, C. (2021). Data Science ab Klasse 5–Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein. INFOS 2021–19. GI-Fachtagung Informatik Und Schule.
LibreCat
 

2021 | Journal Article | LibreCat-ID: 29712
Höper, L., Podworny, S., Hüsing, S., Schulte, C., Fleischer, Y., Biehler, R., Frischemeier, D., & Malatyali, H. (2021). Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz. INFOS 2021–19. GI-Fachtagung Informatik Und Schule.
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2021 | Journal Article | LibreCat-ID: 40512
Hüsing, S., Weiser, N., & Biehler, R. (2021). Faszination 3D-Film: Entwicklung einer 3D-Konstruktion. Mathematik Lehren, 2021(228), 23–27.
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2021 | Journal Article | LibreCat-ID: 24456 | OA
Rohlfing, K. J., Cimiano, P., Scharlau, I., Matzner, T., Buhl, H. M., Buschmeier, H., Esposito, E., Grimminger, A., Hammer, B., Haeb-Umbach, R., Horwath, I., Hüllermeier, E., Kern, F., Kopp, S., Thommes, K., Ngonga Ngomo, A.-C., Schulte, C., Wachsmuth, H., Wagner, P., & Wrede, B. (2021). Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems. IEEE Transactions on Cognitive and Developmental Systems, 13(3), 717–728. https://doi.org/10.1109/tcds.2020.3044366
LibreCat | Files available | DOI
 

2021 | Journal Article | LibreCat-ID: 35763
Hüsing, S., Weiser, N., & Biehler, R. (2021). Faszination 3D-Film: Entwicklung einer 3D-Konstruktion. mathematik lehren, 2021(228), 23–27.
LibreCat
 

2021 | Journal Article | LibreCat-ID: 35751
Frischemeier, D., Biehler, R., Podworny, S., & Budde, L. (2021). A first introduction to data science education in secondary schools: Teaching and learning about data exploration with<scp>CODAP</scp>using survey data. Teaching Statistics, 43(S1), S182–S189. https://doi.org/10.1111/test.12283
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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: 31407
Höper, L., Podworny, S., Schulte, C., & Frischemeier, D. (2022). Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network. Proceedings of the IASE 2021 Satellite Conference. https://doi.org/10.52041/iase.nkppy
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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.
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
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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.
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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
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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
 

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 | OA
Höper, L., & Schulte, C. (2023). Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht. MNU journal, 76(4), 314–320.
LibreCat | Files available
 

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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