---
_id: '64625'
author:
- first_name: Anna
full_name: Fergusson, Anna
last_name: Fergusson
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Yannik
full_name: Fleischer, Yannik
id: '42660'
last_name: Fleischer
orcid: https://orcid.org/0000-0003-0318-0329
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Malia S.
full_name: Puloka, Malia S.
last_name: Puloka
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
- first_name: Maxine
full_name: Pfannkuch, Maxine
last_name: Pfannkuch
- first_name: Stephanie
full_name: Budgett, Stephanie
last_name: Budgett
- first_name: Michelle
full_name: Dalrymple, Michelle
last_name: Dalrymple
citation:
ama: 'Fergusson A, Podworny S, Fleischer Y, et al. Branching out data science education:
Developing task and computational environment design principles for teaching data
science at the high school level through an international research collaboration.
In: Proceedings of the IASE 2025 Satellite Conference - Statistics and Data
Science Education in STEAM. International Association for Statistics Education;
2026. doi:10.52041/iase25.138'
apa: 'Fergusson, A., Podworny, S., Fleischer, Y., Hüsing, S., Puloka, M. S., Biehler,
R., Pfannkuch, M., Budgett, S., & Dalrymple, M. (2026). Branching out data
science education: Developing task and computational environment design principles
for teaching data science at the high school level through an international research
collaboration. Proceedings of the IASE 2025 Satellite Conference - Statistics
and Data Science Education in STEAM. https://doi.org/10.52041/iase25.138'
bibtex: '@inproceedings{Fergusson_Podworny_Fleischer_Hüsing_Puloka_Biehler_Pfannkuch_Budgett_Dalrymple_2026,
title={Branching out data science education: Developing task and computational
environment design principles for teaching data science at the high school level
through an international research collaboration}, DOI={10.52041/iase25.138},
booktitle={Proceedings of the IASE 2025 Satellite Conference - Statistics and
Data Science Education in STEAM}, publisher={International Association for Statistics
Education}, author={Fergusson, Anna and Podworny, Susanne and Fleischer, Yannik
and Hüsing, Sven and Puloka, Malia S. and Biehler, Rolf and Pfannkuch, Maxine
and Budgett, Stephanie and Dalrymple, Michelle}, year={2026} }'
chicago: 'Fergusson, Anna, Susanne Podworny, Yannik Fleischer, Sven Hüsing, Malia
S. Puloka, Rolf Biehler, Maxine Pfannkuch, Stephanie Budgett, and Michelle Dalrymple.
“Branching out Data Science Education: Developing Task and Computational Environment
Design Principles for Teaching Data Science at the High School Level through an
International Research Collaboration.” In Proceedings of the IASE 2025 Satellite
Conference - Statistics and Data Science Education in STEAM. International
Association for Statistics Education, 2026. https://doi.org/10.52041/iase25.138.'
ieee: 'A. Fergusson et al., “Branching out data science education: Developing
task and computational environment design principles for teaching data science
at the high school level through an international research collaboration,” 2026,
doi: 10.52041/iase25.138.'
mla: 'Fergusson, Anna, et al. “Branching out Data Science Education: Developing
Task and Computational Environment Design Principles for Teaching Data Science
at the High School Level through an International Research Collaboration.” Proceedings
of the IASE 2025 Satellite Conference - Statistics and Data Science Education
in STEAM, International Association for Statistics Education, 2026, doi:10.52041/iase25.138.'
short: 'A. Fergusson, S. Podworny, Y. Fleischer, S. Hüsing, M.S. Puloka, R. Biehler,
M. Pfannkuch, S. Budgett, M. Dalrymple, in: Proceedings of the IASE 2025 Satellite
Conference - Statistics and Data Science Education in STEAM, International Association
for Statistics Education, 2026.'
date_created: 2026-02-25T14:57:57Z
date_updated: 2026-02-25T14:58:49Z
department:
- _id: '67'
doi: 10.52041/iase25.138
language:
- iso: eng
publication: Proceedings of the IASE 2025 Satellite Conference - Statistics and Data
Science Education in STEAM
publication_status: published
publisher: International Association for Statistics Education
status: public
title: 'Branching out data science education: Developing task and computational environment
design principles for teaching data science at the high school level through an
international research collaboration'
type: conference
user_id: '58465'
year: '2026'
...
---
_id: '63801'
author:
- first_name: Lara
full_name: Gildehaus, Lara
last_name: Gildehaus
- first_name: Michael
full_name: Liebendörfer, Michael
last_name: Liebendörfer
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Rebecca
full_name: Gottschalk, Rebecca
last_name: Gottschalk
- first_name: Franzisca
full_name: Strauß, Franzisca
last_name: Strauß
citation:
ama: 'Gildehaus L, Liebendörfer M, Hüsing S, Gottschalk R, Strauß F. Normatives
Modellieren im Kontext des Klimawandels – wie viel CO2 stoßen Lebensmittel aus?
In: Realitätsbezüge im Mathematikunterricht. Springer Berlin Heidelberg;
2025. doi:10.1007/978-3-662-69989-8_6'
apa: Gildehaus, L., Liebendörfer, M., Hüsing, S., Gottschalk, R., & Strauß,
F. (2025). Normatives Modellieren im Kontext des Klimawandels – wie viel CO2 stoßen
Lebensmittel aus? In Realitätsbezüge im Mathematikunterricht. Springer
Berlin Heidelberg. https://doi.org/10.1007/978-3-662-69989-8_6
bibtex: '@inbook{Gildehaus_Liebendörfer_Hüsing_Gottschalk_Strauß_2025, place={Berlin,
Heidelberg}, title={Normatives Modellieren im Kontext des Klimawandels – wie viel
CO2 stoßen Lebensmittel aus?}, DOI={10.1007/978-3-662-69989-8_6},
booktitle={Realitätsbezüge im Mathematikunterricht}, publisher={Springer Berlin
Heidelberg}, author={Gildehaus, Lara and Liebendörfer, Michael and Hüsing, Sven
and Gottschalk, Rebecca and Strauß, Franzisca}, year={2025} }'
chicago: 'Gildehaus, Lara, Michael Liebendörfer, Sven Hüsing, Rebecca Gottschalk,
and Franzisca Strauß. “Normatives Modellieren im Kontext des Klimawandels – wie
viel CO2 stoßen Lebensmittel aus?” In Realitätsbezüge im Mathematikunterricht.
Berlin, Heidelberg: Springer Berlin Heidelberg, 2025. https://doi.org/10.1007/978-3-662-69989-8_6.'
ieee: 'L. Gildehaus, M. Liebendörfer, S. Hüsing, R. Gottschalk, and F. Strauß, “Normatives
Modellieren im Kontext des Klimawandels – wie viel CO2 stoßen Lebensmittel aus?,”
in Realitätsbezüge im Mathematikunterricht, Berlin, Heidelberg: Springer
Berlin Heidelberg, 2025.'
mla: Gildehaus, Lara, et al. “Normatives Modellieren im Kontext des Klimawandels
– wie viel CO2 stoßen Lebensmittel aus?” Realitätsbezüge im Mathematikunterricht,
Springer Berlin Heidelberg, 2025, doi:10.1007/978-3-662-69989-8_6.
short: 'L. Gildehaus, M. Liebendörfer, S. Hüsing, R. Gottschalk, F. Strauß, in:
Realitätsbezüge im Mathematikunterricht, Springer Berlin Heidelberg, Berlin, Heidelberg,
2025.'
date_created: 2026-01-29T10:01:05Z
date_updated: 2026-01-29T10:08:20Z
department:
- _id: '67'
doi: 10.1007/978-3-662-69989-8_6
language:
- iso: ger
place: Berlin, Heidelberg
publication: Realitätsbezüge im Mathematikunterricht
publication_identifier:
isbn:
- '9783662699881'
- '9783662699898'
issn:
- 2625-3550
- 2625-3569
publication_status: published
publisher: Springer Berlin Heidelberg
status: public
title: Normatives Modellieren im Kontext des Klimawandels – wie viel CO2 stoßen Lebensmittel
aus?
type: book_chapter
user_id: '58465'
year: '2025'
...
---
_id: '63805'
author:
- first_name: Hannes
full_name: Stoppel, Hannes
last_name: Stoppel
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
citation:
ama: Stoppel H, Hüsing S. Konstruktionistisches Geometrielernen durch epistemisches
Programmieren in Scratch. Beiträge zum Mathematikunterricht; 58. Published
online 2025. doi:10.17877/DE290R-25995
apa: Stoppel, H., & Hüsing, S. (2025). Konstruktionistisches Geometrielernen
durch epistemisches Programmieren in Scratch. Beiträge Zum Mathematikunterricht;
58. https://doi.org/10.17877/DE290R-25995
bibtex: '@article{Stoppel_Hüsing_2025, title={Konstruktionistisches Geometrielernen
durch epistemisches Programmieren in Scratch}, DOI={10.17877/DE290R-25995},
journal={Beiträge zum Mathematikunterricht; 58}, publisher={Gesellschaft für Didaktik
der Mathematik}, author={Stoppel, Hannes and Hüsing, Sven}, year={2025} }'
chicago: Stoppel, Hannes, and Sven Hüsing. “Konstruktionistisches Geometrielernen
Durch Epistemisches Programmieren in Scratch.” Beiträge Zum Mathematikunterricht;
58, 2025. https://doi.org/10.17877/DE290R-25995.
ieee: 'H. Stoppel and S. Hüsing, “Konstruktionistisches Geometrielernen durch epistemisches
Programmieren in Scratch,” Beiträge zum Mathematikunterricht; 58, 2025,
doi: 10.17877/DE290R-25995.'
mla: Stoppel, Hannes, and Sven Hüsing. “Konstruktionistisches Geometrielernen Durch
Epistemisches Programmieren in Scratch.” Beiträge Zum Mathematikunterricht;
58, Gesellschaft für Didaktik der Mathematik, 2025, doi:10.17877/DE290R-25995.
short: H. Stoppel, S. Hüsing, Beiträge Zum Mathematikunterricht; 58 (2025).
date_created: 2026-01-29T10:07:30Z
date_updated: 2026-01-29T10:08:55Z
department:
- _id: '67'
doi: 10.17877/DE290R-25995
language:
- iso: eng
publication: Beiträge zum Mathematikunterricht; 58
publisher: Gesellschaft für Didaktik der Mathematik
status: public
title: Konstruktionistisches Geometrielernen durch epistemisches Programmieren in
Scratch
type: journal_article
user_id: '58465'
year: '2025'
...
---
_id: '63803'
author:
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
citation:
ama: 'Hüsing S, Podworny S. 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. In: Symposium on Integrating AI and Data
Science into School Education across Disciplines. ; 2025.'
apa: Hüsing, S., & Podworny, S. (2025). 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. Symposium on Integrating
AI and Data Science into School Education across Disciplines.
bibtex: '@inproceedings{Hüsing_Podworny_2025, title={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}, booktitle={Symposium
on integrating AI and data science into school education across disciplines},
author={Hüsing, Sven and Podworny, Susanne}, year={2025} }'
chicago: Hüsing, Sven, and Susanne Podworny. “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.” In Symposium on Integrating
AI and Data Science into School Education across Disciplines, 2025.
ieee: S. Hüsing and S. Podworny, “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,” 2025.
mla: Hüsing, Sven, and Susanne Podworny. “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.” Symposium on Integrating
AI and Data Science into School Education across Disciplines, 2025.
short: 'S. Hüsing, S. Podworny, in: Symposium on Integrating AI and Data Science
into School Education across Disciplines, 2025.'
date_created: 2026-01-29T10:03:06Z
date_updated: 2026-01-29T10:09:10Z
department:
- _id: '67'
language:
- iso: eng
publication: Symposium on integrating AI and data science into school education across
disciplines
status: public
title: 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
type: conference
user_id: '58465'
year: '2025'
...
---
_id: '52379'
author:
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Sören
full_name: Sparmann, Sören
id: '63216'
last_name: Sparmann
- first_name: Mario
full_name: Bolte, Mario
last_name: Bolte
citation:
ama: 'Hüsing S, Schulte C, Sparmann S, Bolte M. Using Worked Examples for Engaging
in Epistemic Programming Projects. In: Proceedings of the 55th ACM Technical
Symposium on Computer Science Education V. 1. ACM; 2024. doi:10.1145/3626252.3630961'
apa: 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
bibtex: '@inproceedings{Hüsing_Schulte_Sparmann_Bolte_2024, title={Using Worked
Examples for Engaging in Epistemic Programming Projects}, DOI={10.1145/3626252.3630961},
booktitle={Proceedings of the 55th ACM Technical Symposium on Computer Science
Education V. 1}, publisher={ACM}, author={Hüsing, Sven and Schulte, Carsten and
Sparmann, Sören and Bolte, Mario}, year={2024} }'
chicago: Hüsing, Sven, Carsten Schulte, Sören Sparmann, and Mario Bolte. “Using
Worked Examples for Engaging in Epistemic Programming Projects.” In Proceedings
of the 55th ACM Technical Symposium on Computer Science Education V. 1. ACM,
2024. https://doi.org/10.1145/3626252.3630961.
ieee: 'S. Hüsing, C. Schulte, S. Sparmann, and M. Bolte, “Using Worked Examples
for Engaging in Epistemic Programming Projects,” 2024, doi: 10.1145/3626252.3630961.'
mla: Hüsing, Sven, et al. “Using Worked Examples for Engaging in Epistemic Programming
Projects.” Proceedings of the 55th ACM Technical Symposium on Computer Science
Education V. 1, ACM, 2024, doi:10.1145/3626252.3630961.
short: 'S. Hüsing, C. Schulte, S. Sparmann, M. Bolte, in: Proceedings of the 55th
ACM Technical Symposium on Computer Science Education V. 1, ACM, 2024.'
date_created: 2024-03-08T08:01:50Z
date_updated: 2024-03-21T23:19:04Z
department:
- _id: '67'
doi: 10.1145/3626252.3630961
language:
- iso: eng
publication: Proceedings of the 55th ACM Technical Symposium on Computer Science Education
V. 1
publication_status: published
publisher: ACM
status: public
title: Using Worked Examples for Engaging in Epistemic Programming Projects
type: conference
user_id: '58465'
year: '2024'
...
---
_id: '54796'
author:
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Sören
full_name: Sparmann, Sören
id: '63216'
last_name: Sparmann
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Mario
full_name: Bolte, Mario
last_name: Bolte
citation:
ama: 'Hüsing S, Sparmann S, Schulte C, Bolte M. Identifying K-12 Students’ Approaches
to Using Worked Examples for Epistemic Programming. In: Proceedings of the
2024 Symposium on Eye Tracking Research and Applications. ACM; 2024. doi:10.1145/3649902.3655094'
apa: Hüsing, S., Sparmann, S., Schulte, C., & Bolte, M. (2024). Identifying
K-12 Students’ Approaches to Using Worked Examples for Epistemic Programming.
Proceedings of the 2024 Symposium on Eye Tracking Research and Applications.
https://doi.org/10.1145/3649902.3655094
bibtex: '@inproceedings{Hüsing_Sparmann_Schulte_Bolte_2024, title={Identifying K-12
Students’ Approaches to Using Worked Examples for Epistemic Programming}, DOI={10.1145/3649902.3655094}, booktitle={Proceedings
of the 2024 Symposium on Eye Tracking Research and Applications}, publisher={ACM},
author={Hüsing, Sven and Sparmann, Sören and Schulte, Carsten and Bolte, Mario},
year={2024} }'
chicago: Hüsing, Sven, Sören Sparmann, Carsten Schulte, and Mario Bolte. “Identifying
K-12 Students’ Approaches to Using Worked Examples for Epistemic Programming.”
In Proceedings of the 2024 Symposium on Eye Tracking Research and Applications.
ACM, 2024. https://doi.org/10.1145/3649902.3655094.
ieee: 'S. Hüsing, S. Sparmann, C. Schulte, and M. Bolte, “Identifying K-12 Students’
Approaches to Using Worked Examples for Epistemic Programming,” 2024, doi: 10.1145/3649902.3655094.'
mla: Hüsing, Sven, et al. “Identifying K-12 Students’ Approaches to Using Worked
Examples for Epistemic Programming.” Proceedings of the 2024 Symposium on Eye
Tracking Research and Applications, ACM, 2024, doi:10.1145/3649902.3655094.
short: 'S. Hüsing, S. Sparmann, C. Schulte, M. Bolte, in: Proceedings of the 2024
Symposium on Eye Tracking Research and Applications, ACM, 2024.'
date_created: 2024-06-18T06:40:20Z
date_updated: 2024-06-18T06:40:47Z
department:
- _id: '67'
doi: 10.1145/3649902.3655094
language:
- iso: eng
publication: Proceedings of the 2024 Symposium on Eye Tracking Research and Applications
publication_status: published
publisher: ACM
status: public
title: Identifying K-12 Students' Approaches to Using Worked Examples for Epistemic
Programming
type: conference
user_id: '58465'
year: '2024'
...
---
_id: '57738'
author:
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Sarah
full_name: Schönbrodt, Sarah
last_name: Schönbrodt
citation:
ama: 'Hüsing S, Schönbrodt S. Förderung von Epistemic Agency – Entwicklung von Computational
Essays bei der Bearbeitung datengetriebener, realer Problemstellungen. In: ; 2024.
doi:10.17877/DE290R-25018'
apa: Hüsing, S., & Schönbrodt, S. (2024). Förderung von Epistemic Agency
– Entwicklung von Computational Essays bei der Bearbeitung datengetriebener, realer
Problemstellungen. https://doi.org/10.17877/DE290R-25018
bibtex: '@inproceedings{Hüsing_Schönbrodt_2024, title={Förderung von Epistemic Agency
– Entwicklung von Computational Essays bei der Bearbeitung datengetriebener, realer
Problemstellungen}, DOI={10.17877/DE290R-25018},
author={Hüsing, Sven and Schönbrodt, Sarah}, year={2024} }'
chicago: Hüsing, Sven, and Sarah Schönbrodt. “Förderung von Epistemic Agency – Entwicklung
von Computational Essays Bei Der Bearbeitung Datengetriebener, Realer Problemstellungen,”
2024. https://doi.org/10.17877/DE290R-25018.
ieee: 'S. Hüsing and S. Schönbrodt, “Förderung von Epistemic Agency – Entwicklung
von Computational Essays bei der Bearbeitung datengetriebener, realer Problemstellungen,”
2024, doi: 10.17877/DE290R-25018.'
mla: Hüsing, Sven, and Sarah Schönbrodt. Förderung von Epistemic Agency – Entwicklung
von Computational Essays Bei Der Bearbeitung Datengetriebener, Realer Problemstellungen.
2024, doi:10.17877/DE290R-25018.
short: 'S. Hüsing, S. Schönbrodt, in: 2024.'
date_created: 2024-12-11T09:56:34Z
date_updated: 2024-12-11T10:00:54Z
department:
- _id: '67'
doi: 10.17877/DE290R-25018
language:
- iso: eng
main_file_link:
- url: http://dx.doi.org/10.17877/DE290R-25018
status: public
title: Förderung von Epistemic Agency – Entwicklung von Computational Essays bei der
Bearbeitung datengetriebener, realer Problemstellungen
type: conference
user_id: '58465'
year: '2024'
...
---
_id: '52380'
author:
- first_name: Sören
full_name: Sparmann, Sören
id: '63216'
last_name: Sparmann
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: 'Sparmann S, Hüsing S, Schulte C. 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. doi:10.1145/3631802.3631824'
apa: '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'
bibtex: '@inproceedings{Sparmann_Hüsing_Schulte_2023, title={JuGaze: A Cell-based
Eye Tracking and Logging Tool for Jupyter Notebooks}, DOI={10.1145/3631802.3631824},
booktitle={Proceedings of the 23rd Koli Calling International Conference on Computing
Education Research}, publisher={ACM}, author={Sparmann, Sören and Hüsing, Sven
and Schulte, Carsten}, year={2023} }'
chicago: '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.'
ieee: '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.'
mla: 'Sparmann, Sören, et al. “JuGaze: A Cell-Based Eye Tracking and Logging Tool
for Jupyter Notebooks.” Proceedings of the 23rd Koli Calling International
Conference on Computing Education Research, ACM, 2023, doi:10.1145/3631802.3631824.'
short: 'S. Sparmann, S. Hüsing, C. Schulte, in: Proceedings of the 23rd Koli Calling
International Conference on Computing Education Research, ACM, 2023.'
date_created: 2024-03-08T08:02:10Z
date_updated: 2024-04-11T12:30:59Z
department:
- _id: '67'
doi: 10.1145/3631802.3631824
language:
- iso: eng
publication: Proceedings of the 23rd Koli Calling International Conference on Computing
Education Research
publication_status: published
publisher: ACM
status: public
title: 'JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks'
type: conference
user_id: '58465'
year: '2023'
...
---
_id: '40511'
author:
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Felix
full_name: Winkelnkemper, Felix
id: '3117'
last_name: Winkelnkemper
citation:
ama: 'Hüsing S, Schulte C, Winkelnkemper F. Epistemic Programming. In: Computer
Science Education. Bloomsbury Academic; 2023. doi:10.5040/9781350296947.ch-022'
apa: Hüsing, S., Schulte, C., & Winkelnkemper, F. (2023). Epistemic Programming.
In Computer Science Education. Bloomsbury Academic. https://doi.org/10.5040/9781350296947.ch-022
bibtex: '@inbook{Hüsing_Schulte_Winkelnkemper_2023, title={Epistemic Programming},
DOI={10.5040/9781350296947.ch-022},
booktitle={Computer Science Education}, publisher={Bloomsbury Academic}, author={Hüsing,
Sven and Schulte, Carsten and Winkelnkemper, Felix}, year={2023} }'
chicago: Hüsing, Sven, Carsten Schulte, and Felix Winkelnkemper. “Epistemic Programming.”
In Computer Science Education. Bloomsbury Academic, 2023. https://doi.org/10.5040/9781350296947.ch-022.
ieee: S. Hüsing, C. Schulte, and F. Winkelnkemper, “Epistemic Programming,” in Computer
Science Education, Bloomsbury Academic, 2023.
mla: Hüsing, Sven, et al. “Epistemic Programming.” Computer Science Education,
Bloomsbury Academic, 2023, doi:10.5040/9781350296947.ch-022.
short: 'S. Hüsing, C. Schulte, F. Winkelnkemper, in: Computer Science Education,
Bloomsbury Academic, 2023.'
date_created: 2023-01-27T12:25:37Z
date_updated: 2023-01-27T12:26:06Z
department:
- _id: '67'
doi: 10.5040/9781350296947.ch-022
language:
- iso: eng
publication: Computer Science Education
publication_identifier:
isbn:
- '9781350296916'
- '9781350296909'
- '9781350296930'
- '9781350296923'
- '9781350296947'
publication_status: published
publisher: Bloomsbury Academic
status: public
title: Epistemic Programming
type: book_chapter
user_id: '58465'
year: '2023'
...
---
_id: '32335'
abstract:
- lang: eng
text: Aspects of data science surround us in many contexts, for example regarding
climate change, air pollution, and other environmental issues. To open the “data-science-black-box”
for lower secondary school students we developed a data science project focussing
on the analysis of self-collected environmental data. We embed this project in
computer science education, which enables us to use a new knowledge-based programming
approach for the data analysis within Jupyter Notebooks and the programming language
Python. In this paper, we evaluate the second cycle of this project which took
place in a ninth-grade computer science class. In particular, we present how the
students coped with the professional tool of Jupyter Notebooks for doing statistical
investigations and which insights they gained.
article_number: '6'
author:
- first_name: SUSANNE
full_name: PODWORNY, SUSANNE
last_name: PODWORNY
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: CARSTEN
full_name: SCHULTE, CARSTEN
last_name: SCHULTE
citation:
ama: 'PODWORNY S, Hüsing S, SCHULTE C. A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL:
BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING. STATISTICS EDUCATION RESEARCH
JOURNAL. 2022;21(2). doi:10.52041/serj.v21i2.46'
apa: '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'
bibtex: '@article{PODWORNY_Hüsing_SCHULTE_2022, title={A PLACE FOR A DATA SCIENCE
PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING}, volume={21},
DOI={10.52041/serj.v21i2.46},
number={26}, journal={STATISTICS EDUCATION RESEARCH JOURNAL}, publisher={International
Association for Statistical Education}, author={PODWORNY, SUSANNE and Hüsing,
Sven and SCHULTE, CARSTEN}, year={2022} }'
chicago: '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.'
ieee: '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.'
mla: 'PODWORNY, SUSANNE, et al. “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN
STATISTICS AND EPISTEMIC PROGRAMMING.” STATISTICS EDUCATION RESEARCH JOURNAL,
vol. 21, no. 2, 6, International Association for Statistical Education, 2022,
doi:10.52041/serj.v21i2.46.'
short: S. PODWORNY, S. Hüsing, C. SCHULTE, STATISTICS EDUCATION RESEARCH JOURNAL
21 (2022).
date_created: 2022-07-08T12:06:48Z
date_updated: 2022-07-08T12:07:46Z
department:
- _id: '67'
doi: 10.52041/serj.v21i2.46
intvolume: ' 21'
issue: '2'
keyword:
- Education
- Statistics and Probability
language:
- iso: eng
publication: STATISTICS EDUCATION RESEARCH JOURNAL
publication_identifier:
issn:
- 1570-1824
publication_status: published
publisher: International Association for Statistical Education
status: public
title: 'A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC
PROGRAMMING'
type: journal_article
user_id: '58465'
volume: 21
year: '2022'
...
---
_id: '35674'
abstract:
- lang: eng
text: We report on our work with students in our data science courses, focusing
on the analysis of students’ results. This study represents an in-depth analysis
of students’ creation and documentation of machine learning models. The students
were supported by educationally designed Jupyter Notebooks, which are used as
worked examples. Using the worked example, students document their results in
a so-called computational essay. We examine which aspects of creating computational
essays are difficult for students to find out how worked examples should be designed
to support students without being too prescriptive. We analyze the computational
essays produced by students and draw consequences for redesigning our worked example.
author:
- first_name: Franz Yannik
full_name: Fleischer, Franz Yannik
id: '42660'
last_name: Fleischer
orcid: https://orcid.org/0000-0003-0318-0329
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: 'Fleischer FY, Hüsing S, Biehler R, Podworny S, Schulte C. Jupyter Notebooks
for Teaching, Learning, and Doing Data Science. In: Peters SA, Zapata-Cardona
L, Bonafini F, Fan A, 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. doi:10.52041/iase.icots11.t10e3'
apa: 'Fleischer, F. 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'
bibtex: '@inproceedings{Fleischer_Hüsing_Biehler_Podworny_Schulte_2022, title={Jupyter
Notebooks for Teaching, Learning, and Doing Data Science}, DOI={10.52041/iase.icots11.t10e3},
booktitle={Bridging the Gap: Empowering and Educating Today’s Learners in Statistics.
Proceedings of the Eleventh International Conference on Teaching Statistics},
publisher={International Association for Statistical Education}, author={Fleischer,
Franz Yannik and Hüsing, Sven and Biehler, Rolf and Podworny, Susanne and Schulte,
Carsten}, editor={Peters, S. A. and Zapata-Cardona, L. and Bonafini, F. and Fan,
A.}, year={2022} }'
chicago: '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.'
ieee: 'F. 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.'
mla: 'Fleischer, Franz Yannik, et al. “Jupyter Notebooks for Teaching, Learning,
and Doing Data Science.” 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 et al., International Association
for Statistical Education, 2022, doi:10.52041/iase.icots11.t10e3.'
short: '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.'
date_created: 2023-01-10T08:50:47Z
date_updated: 2024-08-21T10:03:47Z
department:
- _id: '363'
- _id: '67'
doi: 10.52041/iase.icots11.t10e3
editor:
- first_name: S. A.
full_name: Peters, S. A.
last_name: Peters
- first_name: L.
full_name: Zapata-Cardona, L.
last_name: Zapata-Cardona
- first_name: F.
full_name: Bonafini, F.
last_name: Bonafini
- first_name: A.
full_name: Fan, A.
last_name: Fan
language:
- iso: eng
publication: 'Bridging the Gap: Empowering and Educating Today’s Learners in Statistics.
Proceedings of the Eleventh International Conference on Teaching Statistics'
publication_status: published
publisher: International Association for Statistical Education
status: public
title: Jupyter Notebooks for Teaching, Learning, and Doing Data Science
type: conference
user_id: '37888'
year: '2022'
...
---
_id: '40510'
abstract:
- lang: eng
text: Decision-making processes are often based on data and data-driven
machine learning methods in different areas such as recommender systems, medicine,
criminalistics, etc. Well-informed citizens need at least a minimal understanding
and critical reflection of corresponding data-driven machine learning methods.
Decision trees are a method that can foster a preformal understanding of machine
learning. We developed an exploratory teaching unit introducing decision trees
in grade 6 along the question “How can Artificial Intelligence help us decide
whether food is rather recommendable or not?” Students’ performances in an assessment
task and self-assessment show that young learners can use a decision tree to classify
new items and that they found the corresponding teaching unit informative.
author:
- first_name: Susanne
full_name: Podworny, Susanne
last_name: Podworny
- first_name: Yannik
full_name: Fleischer, Yannik
last_name: Fleischer
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
citation:
ama: 'Podworny S, Fleischer Y, Hüsing S. 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. doi:10.52041/iase.icots11.t2h3'
apa: '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'
bibtex: '@inproceedings{Podworny_Fleischer_Hüsing_2022, title={Grade 6 Students’
Perception and Use of Data-Based Decision Trees}, DOI={10.52041/iase.icots11.t2h3},
booktitle={Bridging the Gap: Empowering and Educating Today’s Learners in Statistics.
Proceedings of the Eleventh International Conference on Teaching Statistics},
publisher={International Association for Statistical Education}, author={Podworny,
Susanne and Fleischer, Yannik and Hüsing, Sven}, year={2022} }'
chicago: '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.'
ieee: '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.'
mla: 'Podworny, Susanne, et al. “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, International Association for Statistical Education, 2022, doi:10.52041/iase.icots11.t2h3.'
short: '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.'
date_created: 2023-01-27T12:23:45Z
date_updated: 2023-01-27T12:24:33Z
department:
- _id: '67'
doi: 10.52041/iase.icots11.t2h3
language:
- iso: eng
publication: 'Bridging the Gap: Empowering and Educating Today’s Learners in Statistics.
Proceedings of the Eleventh International Conference on Teaching Statistics'
publication_status: published
publisher: International Association for Statistical Education
status: public
title: Grade 6 Students’ Perception and Use of Data-Based Decision Trees
type: conference
user_id: '58465'
year: '2022'
...
---
_id: '30937'
abstract:
- lang: eng
text: Data Science has become an increasingly important aspect of our everyday
lives as we gain a lot of different insights from data analyses, for example in
the context of environmental issues. In order to make the process of data analyses
comprehensible for lower secondary school students, we developed a data analysis
project for computer science classes, focusing on gaining insights from environmental
data by using the concept of epistemic programming. In this article, we report
on the second implementation of this project, which was conducted in a ninth-grade
computer science class. Concretely, we want to examine, how far the students were
able to create computational essays to conduct reproducible data analyses on their
own. In this regard, the computational essays created with the help of the professional
tool Jupyter Notebooks will be examined in terms of aspects of reproducibility.
author:
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Susanne
full_name: Podworny, Susanne
last_name: Podworny
citation:
ama: 'Hüsing S, Podworny S. 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. doi:10.52041/iase.zwwoh'
apa: 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
bibtex: '@inproceedings{Hüsing_Podworny_2022, title={Computational Essays as an
Approach for Reproducible Data Analysis in lower Secondary School}, DOI={10.52041/iase.zwwoh},
booktitle={Proceedings of the IASE 2021 Satellite Conference}, publisher={International
Association for Statistical Education}, author={Hüsing, Sven and Podworny, Susanne},
year={2022} }'
chicago: 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.
ieee: 'S. Hüsing and S. Podworny, “Computational Essays as an Approach for Reproducible
Data Analysis in lower Secondary School,” 2022, doi: 10.52041/iase.zwwoh.'
mla: Hüsing, Sven, and Susanne Podworny. “Computational Essays as an Approach for
Reproducible Data Analysis in Lower Secondary School.” Proceedings of the IASE
2021 Satellite Conference, International Association for Statistical Education,
2022, doi:10.52041/iase.zwwoh.
short: 'S. Hüsing, S. Podworny, in: Proceedings of the IASE 2021 Satellite Conference,
International Association for Statistical Education, 2022.'
date_created: 2022-04-22T08:30:59Z
date_updated: 2023-01-30T12:10:57Z
department:
- _id: '67'
doi: 10.52041/iase.zwwoh
language:
- iso: eng
main_file_link:
- url: https://iase-web.org/documents/papers/sat2021/IASE2021%20Satellite%20156_HUSING.pdf?1649974216
publication: Proceedings of the IASE 2021 Satellite Conference
publication_status: published
publisher: International Association for Statistical Education
status: public
title: Computational Essays as an Approach for Reproducible Data Analysis in lower
Secondary School
type: conference
user_id: '58465'
year: '2022'
...
---
_id: '27494'
author:
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
citation:
ama: 'Hüsing S. Epistemic Programming - An insight-driven programming concept for
Data Science. In: Seppälä O, Petersen A, eds. Koli Calling ’21: 21st Koli Calling
International Conference on Computing Education Research, Joensuu, Finland, November
18 - 21, 2021. ACM; 2021:42:1-42:3. doi:10.1145/3488042.3490510'
apa: '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'
bibtex: '@inproceedings{Hüsing_2021, title={Epistemic Programming - An insight-driven
programming concept for Data Science}, DOI={10.1145/3488042.3490510},
booktitle={Koli Calling ’21: 21st Koli Calling International Conference on Computing
Education Research, Joensuu, Finland, November 18 - 21, 2021}, publisher={ACM},
author={Hüsing, Sven}, editor={Seppälä, Otto and Petersen, Andrew}, year={2021},
pages={42:1-42:3} }'
chicago: '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.'
ieee: '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.'
mla: 'Hüsing, Sven. “Epistemic Programming - An Insight-Driven Programming Concept
for Data Science.” 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, ACM, 2021, p. 42:1-42:3, doi:10.1145/3488042.3490510.'
short: '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.'
date_created: 2021-11-16T08:15:11Z
date_updated: 2022-01-06T06:57:40Z
department:
- _id: '67'
doi: 10.1145/3488042.3490510
editor:
- first_name: Otto
full_name: Seppälä, Otto
last_name: Seppälä
- first_name: Andrew
full_name: Petersen, Andrew
last_name: Petersen
language:
- iso: eng
page: 42:1-42:3
publication: 'Koli Calling ''21: 21st Koli Calling International Conference on Computing
Education Research, Joensuu, Finland, November 18 - 21, 2021'
publisher: ACM
status: public
title: Epistemic Programming - An insight-driven programming concept for Data Science
type: conference
user_id: '21145'
year: '2021'
...
---
_id: '27495'
author:
- first_name: Klaus
full_name: Bovermann, Klaus
last_name: Bovermann
- first_name: Yannik
full_name: Fleischer, Yannik
last_name: Fleischer
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Christian
full_name: Opitz, Christian
last_name: Opitz
citation:
ama: 'Bovermann K, Fleischer Y, Hüsing S, Opitz C. Künstliche Intelligenz und maschinelles
Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am
Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen. In: Humbert
L, ed. 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021. Vol P-313. LNI. Gesellschaft für Informatik, Bonn; 2021:319.
doi:10.18420/infos2021\_w283'
apa: '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'
bibtex: '@inproceedings{Bovermann_Fleischer_Hüsing_Opitz_2021, series={LNI}, title={Künstliche
Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter
Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen
Netzen}, volume={P-313}, DOI={10.18420/infos2021\_w283},
booktitle={19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021}, publisher={Gesellschaft für Informatik, Bonn}, author={Bovermann,
Klaus and Fleischer, Yannik and Hüsing, Sven and Opitz, Christian}, editor={Humbert,
Ludger}, year={2021}, pages={319}, collection={LNI} }'
chicago: 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.
ieee: '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.'
mla: Bovermann, Klaus, et al. “Künstliche Intelligenz und maschinelles Lernen im
Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von
Entscheidungsbäumen und künstlichen neuronalen Netzen.” 19. GI-Fachtagung Informatik
und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, edited by
Ludger Humbert, vol. P-313, Gesellschaft für Informatik, Bonn, 2021, p. 319, doi:10.18420/infos2021\_w283.
short: '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.'
date_created: 2021-11-16T08:16:32Z
date_updated: 2022-01-06T06:57:40Z
department:
- _id: '67'
doi: 10.18420/infos2021\_w283
editor:
- first_name: Ludger
full_name: Humbert, Ludger
last_name: Humbert
language:
- iso: ger
page: '319'
publication: 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany,
September 8-10, 2021
publisher: Gesellschaft für Informatik, Bonn
series_title: LNI
status: public
title: Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der
Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und
künstlichen neuronalen Netzen
type: conference
user_id: '21145'
volume: P-313
year: '2021'
...
---
_id: '35763'
author:
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Niklas
full_name: Weiser, Niklas
last_name: Weiser
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
citation:
ama: 'Hüsing S, Weiser N, Biehler R. Faszination 3D-Film: Entwicklung einer 3D-Konstruktion.
mathematik lehren. 2021;2021(228):23–27.'
apa: 'Hüsing, S., Weiser, N., & Biehler, R. (2021). Faszination 3D-Film: Entwicklung
einer 3D-Konstruktion. mathematik lehren, 2021(228), 23–27.'
bibtex: '@article{Hüsing_Weiser_Biehler_2021, title={Faszination 3D-Film: Entwicklung
einer 3D-Konstruktion}, volume={2021}, number={228}, journal={mathematik lehren},
publisher={Friedrich Verlag}, author={Hüsing, Sven and Weiser, Niklas and Biehler,
Rolf}, year={2021}, pages={23–27} }'
chicago: 'Hüsing, Sven, Niklas Weiser, and Rolf Biehler. “Faszination 3D-Film: Entwicklung
einer 3D-Konstruktion.” mathematik lehren 2021, no. 228 (2021): 23–27.'
ieee: 'S. Hüsing, N. Weiser, and R. Biehler, “Faszination 3D-Film: Entwicklung einer
3D-Konstruktion,” mathematik lehren, vol. 2021, no. 228, pp. 23–27, 2021.'
mla: 'Hüsing, Sven, et al. “Faszination 3D-Film: Entwicklung einer 3D-Konstruktion.”
mathematik lehren, vol. 2021, no. 228, Friedrich Verlag, 2021, pp. 23–27.'
short: S. Hüsing, N. Weiser, R. Biehler, mathematik lehren 2021 (2021) 23–27.
date_created: 2023-01-10T10:29:36Z
date_updated: 2024-04-18T09:48:24Z
department:
- _id: '363'
intvolume: ' 2021'
issue: '228'
language:
- iso: ger
page: 23–27
publication: mathematik lehren
publisher: Friedrich Verlag
status: public
title: 'Faszination 3D-Film: Entwicklung einer 3D-Konstruktion'
type: journal_article
user_id: '37888'
volume: 2021
year: '2021'
...
---
_id: '29702'
author:
- first_name: Lukas
full_name: Höper, Lukas
id: '58041'
last_name: Höper
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Hülya
full_name: Malatyali, Hülya
id: '4076'
last_name: Malatyali
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Lea
full_name: Budde, Lea
id: '32443'
last_name: Budde
citation:
ama: Höper L, Hüsing S, Malatyali H, Schulte C, Budde L. Methodik für Datenprojekte
im Informatikunterricht. LOG IN. 2021;41(1):31-38.
apa: Höper, L., Hüsing, S., Malatyali, H., Schulte, C., & Budde, L. (2021).
Methodik für Datenprojekte im Informatikunterricht. LOG IN, 41(1),
31–38.
bibtex: '@article{Höper_Hüsing_Malatyali_Schulte_Budde_2021, title={Methodik für
Datenprojekte im Informatikunterricht}, volume={41}, number={1}, journal={LOG
IN}, publisher={LOG IN Verlag}, author={Höper, Lukas and Hüsing, Sven and Malatyali,
Hülya and Schulte, Carsten and Budde, Lea}, year={2021}, pages={31–38} }'
chicago: 'Höper, Lukas, Sven Hüsing, Hülya Malatyali, Carsten Schulte, and Lea Budde.
“Methodik Für Datenprojekte Im Informatikunterricht.” LOG IN 41, no. 1
(2021): 31–38.'
ieee: 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.
mla: Höper, Lukas, et al. “Methodik Für Datenprojekte Im Informatikunterricht.”
LOG IN, vol. 41, no. 1, LOG IN Verlag, 2021, pp. 31–38.
short: L. Höper, S. Hüsing, H. Malatyali, C. Schulte, L. Budde, LOG IN 41 (2021)
31–38.
date_created: 2022-01-31T12:18:52Z
date_updated: 2024-09-05T12:01:29Z
ddc:
- '370'
department:
- _id: '67'
file:
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content_type: application/pdf
creator: hoeper
date_created: 2024-09-05T11:58:59Z
date_updated: 2024-09-05T12:01:29Z
file_id: '56076'
file_name: Höper et al_2021_Methodik für Datenprojekte im Informatikunterricht.pdf
file_size: 179106
relation: main_file
file_date_updated: 2024-09-05T12:01:29Z
has_accepted_license: '1'
intvolume: ' 41'
issue: '1'
language:
- iso: eng
oa: '1'
page: 31-38
publication: LOG IN
publisher: LOG IN Verlag
status: public
title: Methodik für Datenprojekte im Informatikunterricht
type: journal_article
user_id: '58041'
volume: 41
year: '2021'
...
---
_id: '29710'
author:
- first_name: Susanne
full_name: Podworny, Susanne
last_name: Podworny
- first_name: Lukas
full_name: Höper, Lukas
last_name: Höper
- first_name: Yannik
full_name: Fleischer, Yannik
last_name: Fleischer
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Carsten
full_name: Schulte, Carsten
last_name: Schulte
citation:
ama: Podworny S, Höper L, Fleischer Y, Hüsing S, Schulte C. Data Science ab Klasse
5–Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein.
INFOS 2021–19 GI-Fachtagung Informatik und Schule. Published online 2021.
apa: 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.
bibtex: '@article{Podworny_Höper_Fleischer_Hüsing_Schulte_2021, title={Data Science
ab Klasse 5–Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged
und Datenbewusstsein}, journal={INFOS 2021–19. GI-Fachtagung Informatik und Schule},
publisher={Gesellschaft für Informatik, Bonn}, author={Podworny, Susanne and Höper,
Lukas and Fleischer, Yannik and Hüsing, Sven and Schulte, Carsten}, year={2021}
}'
chicago: Podworny, Susanne, Lukas Höper, Yannik Fleischer, Sven Hüsing, and Carsten
Schulte. “Data Science Ab Klasse 5–Konkrete Unterrichtsvorschläge Für Künstliche
Intelligenz Unplugged Und Datenbewusstsein.” INFOS 2021–19. GI-Fachtagung Informatik
Und Schule, 2021.
ieee: 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.
mla: Podworny, Susanne, et al. “Data Science Ab Klasse 5–Konkrete Unterrichtsvorschläge
Für Künstliche Intelligenz Unplugged Und Datenbewusstsein.” INFOS 2021–19.
GI-Fachtagung Informatik Und Schule, Gesellschaft für Informatik, Bonn, 2021.
short: S. Podworny, L. Höper, Y. Fleischer, S. Hüsing, C. Schulte, INFOS 2021–19.
GI-Fachtagung Informatik Und Schule (2021).
date_created: 2022-01-31T14:08:16Z
date_updated: 2023-01-30T12:10:43Z
department:
- _id: '67'
language:
- iso: eng
publication: INFOS 2021–19. GI-Fachtagung Informatik und Schule
publisher: Gesellschaft für Informatik, Bonn
status: public
title: Data Science ab Klasse 5–Konkrete Unterrichtsvorschläge für künstliche Intelligenz
unplugged und Datenbewusstsein
type: journal_article
user_id: '58465'
year: '2021'
...
---
_id: '29712'
author:
- first_name: Lukas
full_name: Höper, Lukas
last_name: Höper
- first_name: Susanne
full_name: Podworny, Susanne
last_name: Podworny
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Carsten
full_name: Schulte, Carsten
last_name: Schulte
- first_name: Yannik
full_name: Fleischer, Yannik
last_name: Fleischer
- first_name: Rolf
full_name: Biehler, Rolf
last_name: Biehler
- first_name: Daniel
full_name: Frischemeier, Daniel
last_name: Frischemeier
- first_name: Hülya
full_name: Malatyali, Hülya
last_name: Malatyali
citation:
ama: Höper L, Podworny S, Hüsing S, et al. Zur neuen Bedeutung von Daten in Data
Science und künstlicher Intelligenz. INFOS 2021–19 GI-Fachtagung Informatik
und Schule. Published online 2021.
apa: 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.
bibtex: '@article{Höper_Podworny_Hüsing_Schulte_Fleischer_Biehler_Frischemeier_Malatyali_2021,
title={Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz},
journal={INFOS 2021–19. GI-Fachtagung Informatik und Schule}, publisher={Gesellschaft
für Informatik, Bonn}, author={Höper, Lukas and Podworny, Susanne and Hüsing,
Sven and Schulte, Carsten and Fleischer, Yannik and Biehler, Rolf and Frischemeier,
Daniel and Malatyali, Hülya}, year={2021} }'
chicago: Höper, Lukas, Susanne Podworny, Sven Hüsing, Carsten Schulte, Yannik Fleischer,
Rolf Biehler, Daniel Frischemeier, and Hülya Malatyali. “Zur Neuen Bedeutung von
Daten in Data Science Und Künstlicher Intelligenz.” INFOS 2021–19. GI-Fachtagung
Informatik Und Schule, 2021.
ieee: L. Höper et al., “Zur neuen Bedeutung von Daten in Data Science und
künstlicher Intelligenz,” INFOS 2021–19. GI-Fachtagung Informatik und Schule,
2021.
mla: Höper, Lukas, et al. “Zur Neuen Bedeutung von Daten in Data Science Und Künstlicher
Intelligenz.” INFOS 2021–19. GI-Fachtagung Informatik Und Schule, Gesellschaft
für Informatik, Bonn, 2021.
short: 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).
date_created: 2022-01-31T14:14:03Z
date_updated: 2023-01-30T12:10:23Z
department:
- _id: '67'
language:
- iso: eng
publication: INFOS 2021–19. GI-Fachtagung Informatik und Schule
publisher: Gesellschaft für Informatik, Bonn
status: public
title: Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz
type: journal_article
user_id: '58465'
year: '2021'
...
---
_id: '40512'
author:
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Niklas
full_name: Weiser, Niklas
last_name: Weiser
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
citation:
ama: 'Hüsing S, Weiser N, Biehler R. Faszination 3D-Film: Entwicklung einer 3D-Konstruktion.
mathematik lehren. 2021;2021(228):23–27.'
apa: 'Hüsing, S., Weiser, N., & Biehler, R. (2021). Faszination 3D-Film: Entwicklung
einer 3D-Konstruktion. Mathematik Lehren, 2021(228), 23–27.'
bibtex: '@article{Hüsing_Weiser_Biehler_2021, title={Faszination 3D-Film: Entwicklung
einer 3D-Konstruktion}, volume={2021}, number={228}, journal={mathematik lehren},
publisher={Friedrich Verlag}, author={Hüsing, Sven and Weiser, Niklas and Biehler,
Rolf}, year={2021}, pages={23–27} }'
chicago: 'Hüsing, Sven, Niklas Weiser, and Rolf Biehler. “Faszination 3D-Film: Entwicklung
Einer 3D-Konstruktion.” Mathematik Lehren 2021, no. 228 (2021): 23–27.'
ieee: 'S. Hüsing, N. Weiser, and R. Biehler, “Faszination 3D-Film: Entwicklung einer
3D-Konstruktion,” mathematik lehren, vol. 2021, no. 228, pp. 23–27, 2021.'
mla: 'Hüsing, Sven, et al. “Faszination 3D-Film: Entwicklung Einer 3D-Konstruktion.”
Mathematik Lehren, vol. 2021, no. 228, Friedrich Verlag, 2021, pp. 23–27.'
short: S. Hüsing, N. Weiser, R. Biehler, Mathematik Lehren 2021 (2021) 23–27.
date_created: 2023-01-27T12:35:37Z
date_updated: 2023-01-27T12:35:52Z
department:
- _id: '67'
intvolume: ' 2021'
issue: '228'
language:
- iso: eng
page: 23–27
publication: mathematik lehren
publisher: Friedrich Verlag
status: public
title: 'Faszination 3D-Film: Entwicklung einer 3D-Konstruktion'
type: journal_article
user_id: '58465'
volume: 2021
year: '2021'
...