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130 Publications
2022 | Book Chapter | LibreCat-ID: 39080
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.
LibreCat
2022 | Conference Paper | LibreCat-ID: 38160
T. Huhmann and F. Winkelnkemper, “SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS,” in EDULEARN22 Proceedings, 2022, pp. 10017–10026, doi: 10.21125/edulearn.2022.2416.
LibreCat
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2022 | Journal Article | LibreCat-ID: 38162
T. Huhmann, K. Eilerts, and F. Winkelnkemper, “Pentomino Digital - Mit Einer App Geometrie Lernen,” Mathematik differenziert, no. 4–2022, pp. 42–45, 2022.
LibreCat
2022 | Conference Paper | LibreCat-ID: 40510
S. Podworny, Y. Fleischer, and S. Hüsing, “Grade 6 Students’ Perception and Use of Data-Based Decision Trees,” 2022, doi: 10.52041/iase.icots11.t2h3.
LibreCat
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2022 | Conference Paper | LibreCat-ID: 30937
S. Hüsing and S. Podworny, “Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School,” 2022, doi: 10.52041/iase.zwwoh.
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| Download (ext.)
2022 | Journal Article | LibreCat-ID: 35672
Y. Fleischer, R. Biehler, and C. Schulte, “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks,” Statistics Education Research Journal, vol. 21, no. 2, Art. no. 7, 2022, doi: 10.52041/serj.v21i2.61.
LibreCat
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2022 | Conference Paper | LibreCat-ID: 35674
Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, and C. Schulte, “Jupyter Notebooks for Teaching, Learning, and Doing Data Science,” 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.
LibreCat
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2021 | Conference (Editor) | LibreCat-ID: 25521
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.
LibreCat
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2021 | Conference Paper | LibreCat-ID: 25523
S. Podworny, L. Höper, Y. Fleischer, S. Hüsing, and C. Schulte, “Data Science ab Klasse 5 - Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein,” in 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, 2021, vol. {P-313, p. 327, doi: 10.18420/infos2021\_w278.
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