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146 Publications
2020 | Journal Article | LibreCat-ID: 21267
L. Budde, C. Schulte, H. M. Buhl, and A. Muehling, “Understanding and Explaining Digital Artefacts - the Role of a Duality (Accepted Paper - Digital Publication Follows),” Seventh International Conference on Learning and Teaching in Computing and Engineeringe, 2020.
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2020 | Journal Article | LibreCat-ID: 39465
S. Opel, L. Nordemann, C. Schulte, and C. Tenberge, “Mensch, Maschine! Ein unplugged-Einstieg in KI und maschinelles Lernen.,” Merz Medien + Erziehung. Zeitschrift für Medienpädagogik. , 2020.
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2020 | Conference Paper | LibreCat-ID: 35814
R. Biehler et al., “Data science education in secondary schools: Teaching and learning decision trees with CODAP and Jupyter Notebooks as an example of integrating machine learning into statistics education,” in New Skills in the Changing World of Statistics Education Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE), 2020.
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2020 | Book Chapter | LibreCat-ID: 35821
L. Budde et al., “Data Science Education in Secondary School: How to Develop Statistical Reasoning When Exploring Data Using CODAP,” in New Skills in the Changing World of Statistics Education: Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE), July 2020, P. Arnold, Ed. Voorborg, The Netherlands: ISI/IASE, 2020.
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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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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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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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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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2021 | Conference Paper | LibreCat-ID: 29707
D. Bechinie, K. Eilerts, T. Huhmann, M. Lenke, C. Schulte, and F. Winkelnkemper, “Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern,” 2021.
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2021 | Journal Article | LibreCat-ID: 29708
D. K.-H. Gerstenberger, F. Winkelnkemper, and C. Schulte, “Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden,” 9. Fachtagung Hochschuldidaktik Informatik (HDI), p. 49, 2021.
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2021 | Conference Paper | LibreCat-ID: 25520
L. Höper et al., “Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz,” in 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, 2021, vol. P-313, p. 345, doi: 10.18420/infos2021\_a230.
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2021 | Dissertation | LibreCat-ID: 27499
L. Budde, Entwicklung und Rekonstruktion einer interaktionsgeprägten Sichtweise auf das komplementäre Mensch-Maschine-Verhältnis. University of Paderborn, Germany, 2021.
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2021 | Book Chapter | LibreCat-ID: 29720
D. Passey et al., “Computers and Education – Recognising Opportunities and Managing Challenges,” in Advancing Research in Information and Communication Technology, vol. AICT-600, M. Goedicke, E. Neuhold, and K. Rannenberg, Eds. Springer, Cham, 2021, pp. 129–152.
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2021 | Journal Article | LibreCat-ID: 29710
S. Podworny, L. Höper, Y. Fleischer, S. Hüsing, and C. Schulte, “Data Science ab Klasse 5–Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein,” INFOS 2021–19. GI-Fachtagung Informatik und Schule, 2021.
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2021 | Journal Article | LibreCat-ID: 29712
L. Höper et al., “Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz,” INFOS 2021–19. GI-Fachtagung Informatik und Schule, 2021.
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2021 | Journal Article | LibreCat-ID: 40512
S. Hüsing, N. Weiser, and R. Biehler, “Faszination 3D-Film: Entwicklung einer 3D-Konstruktion,” mathematik lehren, vol. 2021, no. 228, pp. 23–27, 2021.
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2021 | Journal Article | LibreCat-ID: 24456 | 
K. J. Rohlfing et al., “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems,” IEEE Transactions on Cognitive and Developmental Systems, vol. 13, no. 3, pp. 717–728, 2021, doi: 10.1109/tcds.2020.3044366.
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| DOI
2021 | Journal Article | LibreCat-ID: 35763
S. Hüsing, N. Weiser, and R. Biehler, “Faszination 3D-Film: Entwicklung einer 3D-Konstruktion,” mathematik lehren, vol. 2021, no. 228, pp. 23–27, 2021.
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2021 | Journal Article | LibreCat-ID: 35751
D. Frischemeier, R. Biehler, S. Podworny, and L. Budde, “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, vol. 43, no. S1, pp. S182–S189, 2021, doi: 10.1111/test.12283.
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2022 | Journal Article | LibreCat-ID: 32335
S. PODWORNY, S. Hüsing, and C. SCHULTE, “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING,” STATISTICS EDUCATION RESEARCH JOURNAL, vol. 21, no. 2, Art. no. 6, 2022, doi: 10.52041/serj.v21i2.46.
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2022 | Conference Paper | LibreCat-ID: 31407
L. Höper, S. Podworny, C. Schulte, and D. Frischemeier, “Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network,” 2022, doi: 10.52041/iase.nkppy.
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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.
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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.
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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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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.
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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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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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2023 | Journal Article | LibreCat-ID: 46186 |
L. Höper and C. Schulte, “Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht,” MNU journal, vol. 76, no. 4, pp. 314–320, 2023.
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| Files available
2023 | Journal Article | LibreCat-ID: 47151
F. Winkelnkemper, L. Höper, and C. Schulte, “ARIadne – An Explanation Model for Digital Artefacts,” Informatics in Education, 2023, doi: 10.15388/infedu.2024.09.
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2023 | Journal Article | LibreCat-ID: 49655 |
L. Höper and C. Schulte, “The data awareness framework as part of data literacies in K-12 education,” Information and Learning Sciences, 2023, doi: 10.1108/ils-06-2023-0075.
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2023 | Conference Paper | LibreCat-ID: 47448
L. Terfloth, M. Schaffer, H. M. Buhl, and C. Schulte, “Adding Why to What? Analyses of an Everyday Explanation,” presented at the 1st World Conference on eXplainable Artificial Intelligence (xAI 2023), Lisboa, 2023, doi: 10.1007/978-3-031-44070-0_13.
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2023 | Conference Paper | LibreCat-ID: 52380
S. Sparmann, S. Hüsing, and C. Schulte, “JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks,” 2023, doi: 10.1145/3631802.3631824.
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2024 | Conference Paper | LibreCat-ID: 52379
S. Hüsing, C. Schulte, S. Sparmann, and M. Bolte, “Using Worked Examples for Engaging in Epistemic Programming Projects,” 2024, doi: 10.1145/3626252.3630961.
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| DOI
2024 | Journal Article | LibreCat-ID: 53622
L. Höper and C. Schulte, “Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies,” Informatics in Education, 2024, doi: 10.15388/infedu.2024.19.
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[n.d.] | Journal Article | LibreCat-ID: 15596
R. Biehler et al., “Paderborn Symposium on Data Science Education at School Level 2017: The Collected Extended Abstracts.”
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