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131 Publications
2022 | Conference Paper | LibreCat-ID: 38158
F. Winkelnkemper, T. Huhmann, D. Bechinie, K. Eilerts, M. Lenke, and C. 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, 2022, pp. 1407–1413.
LibreCat
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.
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| DOI
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.
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| DOI
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.
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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.
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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.
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| DOI
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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2021 | Conference Paper | LibreCat-ID: 25524
L. Höper and C. Schulte, “Datenbewusstsein: Aufmerksamkeit für die eigenen Daten,” in 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, 2021, vol. P-313, pp. 73–82, doi: 10.18420/infos2021\_f235.
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2021 | Conference Paper | LibreCat-ID: 25525
G. Große-Bölting, D. K.-H. Gerstenberger, L. Gildehaus, A. Mühling, and C. Schulte, “Identity in K-12 Computer Education Research: A Systematic Literature Review,” in ICER 2021: ACM Conference on International Computing Education Research, Virtual Event, USA, August 16-19, 2021, 2021, pp. 169–183, doi: 10.1145/3446871.3469757.
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| DOI
2021 | Journal Article | LibreCat-ID: 25527
C. Schulte and B. A. Becker, “ITiCSE 2021 recap,” ACM SIGCSE Bull., vol. 53, no. 3, pp. 3–4, 2021, doi: 10.1145/3483403.3483405.
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2021 | Conference Paper | LibreCat-ID: 27491
L. Höper, “Developing and Evaluating the Concept Data Awareness for K12 Computing Education,” 2021, doi: 10.1145/3488042.3490509.
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2021 | Conference Paper | LibreCat-ID: 27493
S. Podworny et al., “Using data cards for teaching data based decision trees in middle school,” in Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, 2021, p. 39:1-39:3, doi: 10.1145/3488042.3489966.
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2021 | Conference Paper | LibreCat-ID: 27494
S. Hüsing, “Epistemic Programming - An insight-driven programming concept for Data Science,” in Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, 2021, p. 42:1-42:3, doi: 10.1145/3488042.3490510.
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| DOI
2021 | Conference Paper | LibreCat-ID: 27495
K. Bovermann, Y. Fleischer, S. Hüsing, and C. Opitz, “Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen,” in 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, 2021, vol. P-313, p. 319, doi: 10.18420/infos2021\_w283.
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2021 | Conference Paper | LibreCat-ID: 29706
L. Höper and C. Schulte, “Datenbewusstsein im Kontext digitaler Kompetenzen für einen selbstbestimmten Umgang mit datengetriebenen digitalen Artefakten,” in 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September - 1. Oktober, 2021, Bonn, 2021, pp. 1623–1632, doi: 10.18420/informatik2021-136.
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2021 | Journal Article | LibreCat-ID: 29702
L. Höper, S. Hüsing, H. Malatyali, C. Schulte, and L. Budde, “Methodik für Datenprojekte im Informatikunterricht,” LOG IN, vol. 41, no. 1, pp. 31–38, 2021.
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