Sven Hüsing

Didaktik der Informatik (DDI)
sven.huesing@uni-paderborn.de
ID
58465

15 Publications

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[15]
2024 | Conference Paper | LibreCat-ID: 52379
Hüsing, S., Schulte, C., Sparmann, S., & Bolte, M. (2024). Using Worked Examples for Engaging in Epistemic Programming Projects. Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1. https://doi.org/10.1145/3626252.3630961
LibreCat | DOI
 
[14]
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
LibreCat | DOI
 
[13]
2023 | Conference Paper | LibreCat-ID: 52380
Sparmann, S., Hüsing, S., & Schulte, C. (2023). JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks. Proceedings of the 23rd Koli Calling International Conference on Computing Education Research. https://doi.org/10.1145/3631802.3631824
LibreCat | DOI
 
[12]
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
LibreCat | DOI
 
[11]
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
LibreCat | DOI
 
[10]
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.)
 
[9]
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
 
[8]
2021 | Conference Paper | LibreCat-ID: 27493
Podworny, S., Fleischer, Y., Hüsing, S., Biehler, R., Frischemeier, D., Höper, L., & Schulte, C. (2021). Using data cards for teaching data based decision trees in middle school. In O. Seppälä & A. Petersen (Eds.), Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021 (p. 39:1-39:3). ACM. https://doi.org/10.1145/3488042.3489966
LibreCat | DOI
 
[7]
2021 | Conference Paper | LibreCat-ID: 27494
Hüsing, S. (2021). Epistemic Programming - An insight-driven programming concept for Data Science. In O. Seppälä & A. Petersen (Eds.), Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021 (p. 42:1-42:3). ACM. https://doi.org/10.1145/3488042.3490510
LibreCat | DOI
 
[6]
2021 | Conference Paper | LibreCat-ID: 27495
Bovermann, K., Fleischer, Y., Hüsing, S., & Opitz, C. (2021). Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen. In L. Humbert (Ed.), 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021: Vol. P-313 (p. 319). Gesellschaft für Informatik, Bonn. https://doi.org/10.18420/infos2021\_w283
LibreCat | DOI
 
[5]
2021 | Journal Article | LibreCat-ID: 29702
Höper, L., Hüsing, S., Malatyali, H., Schulte, C., & Budde, L. (2021). Methodik für Datenprojekte im Informatikunterricht. LOG IN, 41(1), 31–38.
LibreCat
 
[4]
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
 
[3]
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.
LibreCat
 
[2]
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.
LibreCat
 
[1]
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
 
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15 Publications

Mark all

[15]
2024 | Conference Paper | LibreCat-ID: 52379
Hüsing, S., Schulte, C., Sparmann, S., & Bolte, M. (2024). Using Worked Examples for Engaging in Epistemic Programming Projects. Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1. https://doi.org/10.1145/3626252.3630961
LibreCat | DOI
 
[14]
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
LibreCat | DOI
 
[13]
2023 | Conference Paper | LibreCat-ID: 52380
Sparmann, S., Hüsing, S., & Schulte, C. (2023). JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks. Proceedings of the 23rd Koli Calling International Conference on Computing Education Research. https://doi.org/10.1145/3631802.3631824
LibreCat | DOI
 
[12]
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
LibreCat | DOI
 
[11]
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
LibreCat | DOI
 
[10]
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.)
 
[9]
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
 
[8]
2021 | Conference Paper | LibreCat-ID: 27493
Podworny, S., Fleischer, Y., Hüsing, S., Biehler, R., Frischemeier, D., Höper, L., & Schulte, C. (2021). Using data cards for teaching data based decision trees in middle school. In O. Seppälä & A. Petersen (Eds.), Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021 (p. 39:1-39:3). ACM. https://doi.org/10.1145/3488042.3489966
LibreCat | DOI
 
[7]
2021 | Conference Paper | LibreCat-ID: 27494
Hüsing, S. (2021). Epistemic Programming - An insight-driven programming concept for Data Science. In O. Seppälä & A. Petersen (Eds.), Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021 (p. 42:1-42:3). ACM. https://doi.org/10.1145/3488042.3490510
LibreCat | DOI
 
[6]
2021 | Conference Paper | LibreCat-ID: 27495
Bovermann, K., Fleischer, Y., Hüsing, S., & Opitz, C. (2021). Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen. In L. Humbert (Ed.), 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021: Vol. P-313 (p. 319). Gesellschaft für Informatik, Bonn. https://doi.org/10.18420/infos2021\_w283
LibreCat | DOI
 
[5]
2021 | Journal Article | LibreCat-ID: 29702
Höper, L., Hüsing, S., Malatyali, H., Schulte, C., & Budde, L. (2021). Methodik für Datenprojekte im Informatikunterricht. LOG IN, 41(1), 31–38.
LibreCat
 
[4]
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
 
[3]
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.
LibreCat
 
[2]
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.
LibreCat
 
[1]
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
 
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