20 Publications

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[20]
2025 | Book Chapter | LibreCat-ID: 63801
Normatives Modellieren im Kontext des Klimawandels – wie viel CO2 stoßen Lebensmittel aus?
L. Gildehaus, M. Liebendörfer, S. Hüsing, R. Gottschalk, F. Strauß, in: Realitätsbezüge im Mathematikunterricht, Springer Berlin Heidelberg, Berlin, Heidelberg, 2025.
LibreCat | DOI
 
[19]
2025 | Journal Article | LibreCat-ID: 63805
Konstruktionistisches Geometrielernen durch epistemisches Programmieren in Scratch
H. Stoppel, S. Hüsing, Beiträge Zum Mathematikunterricht; 58 (2025).
LibreCat | DOI
 
[18]
2025 | Conference Paper | LibreCat-ID: 63803
Empowering Students to Gain Insights within Data Exploration Projects in the Classroom - Using, Modifying, and Creating Data Moves through a Scaffolded Use of Digital Tools
S. Hüsing, S. Podworny, in: Symposium on Integrating AI and Data Science into School Education across Disciplines, 2025.
LibreCat
 
[17]
2024 | Conference Paper | LibreCat-ID: 52379
Using Worked Examples for Engaging in Epistemic Programming Projects
S. Hüsing, C. Schulte, S. Sparmann, M. Bolte, in: Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1, ACM, 2024.
LibreCat | DOI
 
[16]
2024 | Conference Paper | LibreCat-ID: 54796
Identifying K-12 Students' Approaches to Using Worked Examples for Epistemic Programming
S. Hüsing, S. Sparmann, C. Schulte, M. Bolte, in: Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, ACM, 2024.
LibreCat | DOI
 
 
[14]
2023 | Conference Paper | LibreCat-ID: 52380
JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks
S. Sparmann, S. Hüsing, C. Schulte, in: Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, ACM, 2023.
LibreCat | DOI
 
[13]
2023 | Book Chapter | LibreCat-ID: 40511
Epistemic Programming
S. Hüsing, C. Schulte, F. Winkelnkemper, in: Computer Science Education, Bloomsbury Academic, 2023.
LibreCat | DOI
 
[12]
2022 | Journal Article | LibreCat-ID: 32335
A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING
S. PODWORNY, S. Hüsing, C. SCHULTE, STATISTICS EDUCATION RESEARCH JOURNAL 21 (2022).
LibreCat | DOI
 
[11]
2022 | Conference Paper | LibreCat-ID: 35674
Jupyter Notebooks for Teaching, Learning, and Doing Data Science
F.Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, C. Schulte, 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, 2022.
LibreCat | DOI
 
[10]
2022 | Conference Paper | LibreCat-ID: 40510
Grade 6 Students’ Perception and Use of Data-Based Decision Trees
S. Podworny, Y. Fleischer, S. Hüsing, 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.
LibreCat | DOI
 
[9]
2022 | Conference Paper | LibreCat-ID: 30937
Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School
S. Hüsing, S. Podworny, in: Proceedings of the IASE 2021 Satellite Conference, International Association for Statistical Education, 2022.
LibreCat | DOI | Download (ext.)
 
[8]
2021 | Conference Paper | LibreCat-ID: 27494
Epistemic Programming - An insight-driven programming concept for Data Science
S. Hüsing, in: O. Seppälä, A. Petersen (Eds.), Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, ACM, 2021, p. 42:1-42:3.
LibreCat | DOI
 
[7]
2021 | Conference Paper | LibreCat-ID: 27495
Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen
K. Bovermann, Y. Fleischer, S. Hüsing, C. Opitz, in: L. Humbert (Ed.), 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, Gesellschaft für Informatik, Bonn, 2021, p. 319.
LibreCat | DOI
 
[6]
2021 | Journal Article | LibreCat-ID: 35763
Faszination 3D-Film: Entwicklung einer 3D-Konstruktion
S. Hüsing, N. Weiser, R. Biehler, mathematik lehren 2021 (2021) 23–27.
LibreCat
 
[5]
2021 | Journal Article | LibreCat-ID: 29702 | OA
Methodik für Datenprojekte im Informatikunterricht
L. Höper, S. Hüsing, H. Malatyali, C. Schulte, L. Budde, LOG IN 41 (2021) 31–38.
LibreCat | Files available
 
[4]
2021 | Journal Article | LibreCat-ID: 29710
Data Science ab Klasse 5–Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein
S. Podworny, L. Höper, Y. Fleischer, S. Hüsing, C. Schulte, INFOS 2021–19. GI-Fachtagung Informatik Und Schule (2021).
LibreCat
 
[3]
2021 | Journal Article | LibreCat-ID: 29712
Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz
L. Höper, S. Podworny, S. Hüsing, C. Schulte, Y. Fleischer, R. Biehler, D. Frischemeier, H. Malatyali, INFOS 2021–19. GI-Fachtagung Informatik Und Schule (2021).
LibreCat
 
[2]
2021 | Journal Article | LibreCat-ID: 40512
Faszination 3D-Film: Entwicklung einer 3D-Konstruktion
S. Hüsing, N. Weiser, R. Biehler, Mathematik Lehren 2021 (2021) 23–27.
LibreCat
 
[1]
2021 | Conference Paper | LibreCat-ID: 27493
Using data cards for teaching data based decision trees in middle school
S. Podworny, Y. Fleischer, S. Hüsing, R. Biehler, D. Frischemeier, L. Höper, C. Schulte, in: O. Seppälä, A. Petersen (Eds.), Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, ACM, 2021, p. 39:1-39:3.
LibreCat | DOI
 

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20 Publications

Mark all

[20]
2025 | Book Chapter | LibreCat-ID: 63801
Normatives Modellieren im Kontext des Klimawandels – wie viel CO2 stoßen Lebensmittel aus?
L. Gildehaus, M. Liebendörfer, S. Hüsing, R. Gottschalk, F. Strauß, in: Realitätsbezüge im Mathematikunterricht, Springer Berlin Heidelberg, Berlin, Heidelberg, 2025.
LibreCat | DOI
 
[19]
2025 | Journal Article | LibreCat-ID: 63805
Konstruktionistisches Geometrielernen durch epistemisches Programmieren in Scratch
H. Stoppel, S. Hüsing, Beiträge Zum Mathematikunterricht; 58 (2025).
LibreCat | DOI
 
[18]
2025 | Conference Paper | LibreCat-ID: 63803
Empowering Students to Gain Insights within Data Exploration Projects in the Classroom - Using, Modifying, and Creating Data Moves through a Scaffolded Use of Digital Tools
S. Hüsing, S. Podworny, in: Symposium on Integrating AI and Data Science into School Education across Disciplines, 2025.
LibreCat
 
[17]
2024 | Conference Paper | LibreCat-ID: 52379
Using Worked Examples for Engaging in Epistemic Programming Projects
S. Hüsing, C. Schulte, S. Sparmann, M. Bolte, in: Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1, ACM, 2024.
LibreCat | DOI
 
[16]
2024 | Conference Paper | LibreCat-ID: 54796
Identifying K-12 Students' Approaches to Using Worked Examples for Epistemic Programming
S. Hüsing, S. Sparmann, C. Schulte, M. Bolte, in: Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, ACM, 2024.
LibreCat | DOI
 
 
[14]
2023 | Conference Paper | LibreCat-ID: 52380
JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks
S. Sparmann, S. Hüsing, C. Schulte, in: Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, ACM, 2023.
LibreCat | DOI
 
[13]
2023 | Book Chapter | LibreCat-ID: 40511
Epistemic Programming
S. Hüsing, C. Schulte, F. Winkelnkemper, in: Computer Science Education, Bloomsbury Academic, 2023.
LibreCat | DOI
 
[12]
2022 | Journal Article | LibreCat-ID: 32335
A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING
S. PODWORNY, S. Hüsing, C. SCHULTE, STATISTICS EDUCATION RESEARCH JOURNAL 21 (2022).
LibreCat | DOI
 
[11]
2022 | Conference Paper | LibreCat-ID: 35674
Jupyter Notebooks for Teaching, Learning, and Doing Data Science
F.Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, C. Schulte, 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, 2022.
LibreCat | DOI
 
[10]
2022 | Conference Paper | LibreCat-ID: 40510
Grade 6 Students’ Perception and Use of Data-Based Decision Trees
S. Podworny, Y. Fleischer, S. Hüsing, 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.
LibreCat | DOI
 
[9]
2022 | Conference Paper | LibreCat-ID: 30937
Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School
S. Hüsing, S. Podworny, in: Proceedings of the IASE 2021 Satellite Conference, International Association for Statistical Education, 2022.
LibreCat | DOI | Download (ext.)
 
[8]
2021 | Conference Paper | LibreCat-ID: 27494
Epistemic Programming - An insight-driven programming concept for Data Science
S. Hüsing, in: O. Seppälä, A. Petersen (Eds.), Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, ACM, 2021, p. 42:1-42:3.
LibreCat | DOI
 
[7]
2021 | Conference Paper | LibreCat-ID: 27495
Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen
K. Bovermann, Y. Fleischer, S. Hüsing, C. Opitz, in: L. Humbert (Ed.), 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, Gesellschaft für Informatik, Bonn, 2021, p. 319.
LibreCat | DOI
 
[6]
2021 | Journal Article | LibreCat-ID: 35763
Faszination 3D-Film: Entwicklung einer 3D-Konstruktion
S. Hüsing, N. Weiser, R. Biehler, mathematik lehren 2021 (2021) 23–27.
LibreCat
 
[5]
2021 | Journal Article | LibreCat-ID: 29702 | OA
Methodik für Datenprojekte im Informatikunterricht
L. Höper, S. Hüsing, H. Malatyali, C. Schulte, L. Budde, LOG IN 41 (2021) 31–38.
LibreCat | Files available
 
[4]
2021 | Journal Article | LibreCat-ID: 29710
Data Science ab Klasse 5–Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein
S. Podworny, L. Höper, Y. Fleischer, S. Hüsing, C. Schulte, INFOS 2021–19. GI-Fachtagung Informatik Und Schule (2021).
LibreCat
 
[3]
2021 | Journal Article | LibreCat-ID: 29712
Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz
L. Höper, S. Podworny, S. Hüsing, C. Schulte, Y. Fleischer, R. Biehler, D. Frischemeier, H. Malatyali, INFOS 2021–19. GI-Fachtagung Informatik Und Schule (2021).
LibreCat
 
[2]
2021 | Journal Article | LibreCat-ID: 40512
Faszination 3D-Film: Entwicklung einer 3D-Konstruktion
S. Hüsing, N. Weiser, R. Biehler, Mathematik Lehren 2021 (2021) 23–27.
LibreCat
 
[1]
2021 | Conference Paper | LibreCat-ID: 27493
Using data cards for teaching data based decision trees in middle school
S. Podworny, Y. Fleischer, S. Hüsing, R. Biehler, D. Frischemeier, L. Höper, C. Schulte, in: O. Seppälä, A. Petersen (Eds.), Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, ACM, 2021, p. 39:1-39:3.
LibreCat | DOI
 

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