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138 Publications
2023 | Conference Paper | LibreCat-ID: 52380
Sparmann, Sören, Sven Hüsing, and Carsten Schulte. “JuGaze: A Cell-Based Eye Tracking and Logging Tool for Jupyter Notebooks.” In Proceedings of the 23rd Koli Calling International Conference on Computing Education Research. ACM, 2023. https://doi.org/10.1145/3631802.3631824.
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2023 | Book Chapter | LibreCat-ID: 40511
Hüsing, Sven, Carsten Schulte, and Felix Winkelnkemper. “Epistemic Programming.” In Computer Science Education. Bloomsbury Academic, 2023. https://doi.org/10.5040/9781350296947.ch-022.
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2023 | Journal Article | LibreCat-ID: 46186 | 
Höper, Lukas, and Carsten Schulte. “Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht.” MNU journal 76, no. 4 (2023): 314–20.
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2023 | Journal Article | LibreCat-ID: 47151 |
Winkelnkemper, Felix, Lukas Höper, and Carsten Schulte. “ARIadne – An Explanation Model for Digital Artefacts.” Informatics in Education, 2023. https://doi.org/10.15388/infedu.2024.09.
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2022 | Journal Article | LibreCat-ID: 32335
PODWORNY, SUSANNE, Sven Hüsing, and CARSTEN SCHULTE. “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING.” STATISTICS EDUCATION RESEARCH JOURNAL 21, no. 2 (2022). https://doi.org/10.52041/serj.v21i2.46.
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2022 | Conference Paper | LibreCat-ID: 35674
Fleischer, Franz Yannik, Sven Hüsing, Rolf Biehler, Susanne Podworny, and Carsten 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, edited by S. A. Peters, L. Zapata-Cardona, F. Bonafini, and A. Fan. International Association for Statistical Education, 2022. https://doi.org/10.52041/iase.icots11.t10e3.
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2022 | Journal Article | LibreCat-ID: 35672
Fleischer, Franz Yannik, Rolf Biehler, and Carsten Schulte. “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks.” Statistics Education Research Journal 21, no. 2 (2022). https://doi.org/10.52041/serj.v21i2.61.
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2022 | Conference Paper | LibreCat-ID: 38158
Winkelnkemper, Felix, Tobias Huhmann, Dominik Bechinie, Katja Eilerts, Michael Lenke, and Carsten 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, 1407–1413, 2022.
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2022 | Book Chapter | LibreCat-ID: 39080
Schulte, Carsten, and Felix Winkelnkemper. “Digitalisierung Als Chance Und Herausforderung - Bemerkungen Aus Der Didaktik Der Informatik.” In Theologie Im Übergang - Identität - Digitalisierung - Dialog, 117–135. Kirche in Zeiten Der Veränderung. Freiburg im Breisgau: Herder, 2022.
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2022 | Conference Paper | LibreCat-ID: 38160
Huhmann, Tobias, and Felix Winkelnkemper. “SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS.” In EDULEARN22 Proceedings, 10017–10026, 2022. https://doi.org/10.21125/edulearn.2022.2416.
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2022 | Journal Article | LibreCat-ID: 38162
Huhmann, Tobias, Katja Eilerts, and Felix Winkelnkemper. “Pentomino Digital - Mit Einer App Geometrie Lernen.” Mathematik Differenziert, no. 4–2022 (2022): 42–45.
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2022 | Conference Paper | LibreCat-ID: 40510
Podworny, Susanne, Yannik Fleischer, and Sven Hüsing. “Grade 6 Students’ Perception and Use of Data-Based Decision Trees.” In 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, 2022. https://doi.org/10.52041/iase.icots11.t2h3.
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2022 | Conference Paper | LibreCat-ID: 30937
Hüsing, Sven, and Susanne Podworny. “Computational Essays as an Approach for Reproducible Data Analysis in Lower Secondary School.” In Proceedings of the IASE 2021 Satellite Conference. International Association for Statistical Education, 2022. https://doi.org/10.52041/iase.zwwoh.
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2022 | Conference Paper | LibreCat-ID: 31407
Höper, Lukas, Susanne Podworny, Carsten Schulte, and Daniel Frischemeier. “Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network.” In Proceedings of the IASE 2021 Satellite Conference. International Association for Statistical Education, 2022. https://doi.org/10.52041/iase.nkppy.
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2021 | Conference (Editor) | LibreCat-ID: 25521
Schulte, Carsten, Brett A. Becker, Monica Divitini, and Erik 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. https://doi.org/10.1145/3456565.
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2021 | Conference (Editor) | LibreCat-ID: 25522
Schulte, Carsten, Brett A. Becker, Monica Divitini, and Erik Barendsen, eds. ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021. ACM, 2021. https://doi.org/10.1145/3430665.
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2021 | Conference Paper | LibreCat-ID: 25525
Große-Bölting, Gregor, Dietrich Karl-Heinz Gerstenberger, Lara Gildehaus, Andreas Mühling, and Carsten 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, edited by Amy J. Ko, Jan Vahrenhold, René McCauley, and Matthias Hauswirth, 169–83. ACM, 2021. https://doi.org/10.1145/3446871.3469757.
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2021 | Journal Article | LibreCat-ID: 25527
Schulte, Carsten, and Brett A. Becker. “ITiCSE 2021 Recap.” ACM SIGCSE Bull. 53, no. 3 (2021): 3–4. https://doi.org/10.1145/3483403.3483405.
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2021 | Conference Paper | LibreCat-ID: 27494
Hüsing, Sven. “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, edited by Otto Seppälä and Andrew Petersen, 42:1-42:3. ACM, 2021. https://doi.org/10.1145/3488042.3490510.
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2021 | Conference Paper | LibreCat-ID: 27495
Bovermann, Klaus, Yannik Fleischer, Sven Hüsing, and Christian 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, edited by Ludger Humbert, P-313:319. LNI. Gesellschaft für Informatik, Bonn, 2021. https://doi.org/10.18420/infos2021\_w283.
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