---
_id: '58650'
abstract:
- lang: eng
text: 'Technical systems are characterized by increasing interdisciplinarity, complexity
and networking. A product and its corresponding production systems require interdisciplinary
multi-objective optimization. Sustainability and recyclability demands increase
said complexity. The efficiency of previously established engineering methods
is reaching its limits, which can only be overcome by systematic integration of
extreme data. The aim of "hybrid decision support" is as follows: Data science
and artificial intelligence should be used to supplement human capabilities in
conjunction with existing heuristics, methods, modeling and simulation to increase
the efficiency of product creation.'
alternative_title:
- Hybride Entscheidungsunterstützung in der Produktentstehung - Mit Data Science und
Künstlicher Intelligenz die Leistungsfähigkeit erhöhen
article_type: original
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Jens
full_name: Pottebaum, Jens
id: '405'
last_name: Pottebaum
orcid: http://orcid.org/0000-0001-8778-2989
- first_name: Peter
full_name: Nyhuis, Peter
last_name: Nyhuis
- first_name: Rainer
full_name: Stark, Rainer
last_name: Stark
- first_name: Klaus-Dieter
full_name: Thoben, Klaus-Dieter
last_name: Thoben
- first_name: Petra
full_name: Wiederkehr, Petra
last_name: Wiederkehr
citation:
ama: Gräßler I, Pottebaum J, Nyhuis P, Stark R, Thoben K-D, Wiederkehr P. Hybrid
Decision Support in Product Creation - Improving performance with data science
and artificial intelligence. Industry 40 Science. 2025;2025(1). doi:10.30844/i4sd.25.1.18
apa: Gräßler, I., Pottebaum, J., Nyhuis, P., Stark, R., Thoben, K.-D., & Wiederkehr,
P. (2025). Hybrid Decision Support in Product Creation - Improving performance
with data science and artificial intelligence. Industry 4.0 Science, 2025(1).
https://doi.org/10.30844/i4sd.25.1.18
bibtex: '@article{Gräßler_Pottebaum_Nyhuis_Stark_Thoben_Wiederkehr_2025, title={Hybrid
Decision Support in Product Creation - Improving performance with data science
and artificial intelligence}, volume={2025}, DOI={10.30844/i4sd.25.1.18},
number={1}, journal={Industry 4.0 Science}, publisher={GITO mbH Verlag}, author={Gräßler,
Iris and Pottebaum, Jens and Nyhuis, Peter and Stark, Rainer and Thoben, Klaus-Dieter
and Wiederkehr, Petra}, year={2025} }'
chicago: Gräßler, Iris, Jens Pottebaum, Peter Nyhuis, Rainer Stark, Klaus-Dieter
Thoben, and Petra Wiederkehr. “Hybrid Decision Support in Product Creation - Improving
Performance with Data Science and Artificial Intelligence.” Industry 4.0 Science
2025, no. 1 (2025). https://doi.org/10.30844/i4sd.25.1.18.
ieee: 'I. Gräßler, J. Pottebaum, P. Nyhuis, R. Stark, K.-D. Thoben, and P. Wiederkehr,
“Hybrid Decision Support in Product Creation - Improving performance with data
science and artificial intelligence,” Industry 4.0 Science, vol. 2025,
no. 1, 2025, doi: 10.30844/i4sd.25.1.18.'
mla: Gräßler, Iris, et al. “Hybrid Decision Support in Product Creation - Improving
Performance with Data Science and Artificial Intelligence.” Industry 4.0 Science,
vol. 2025, no. 1, GITO mbH Verlag, 2025, doi:10.30844/i4sd.25.1.18.
short: I. Gräßler, J. Pottebaum, P. Nyhuis, R. Stark, K.-D. Thoben, P. Wiederkehr,
Industry 4.0 Science 2025 (2025).
date_created: 2025-02-15T09:31:30Z
date_updated: 2025-02-15T09:40:52Z
department:
- _id: '152'
doi: 10.30844/i4sd.25.1.18
intvolume: ' 2025'
issue: '1'
keyword:
- AI
- artificial intelligence
- Data Science
- decision support
- extreme data
- Künstliche Intelligenz
- product creation
- product development
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication: Industry 4.0 Science
publication_identifier:
issn:
- 2942-6170
publication_status: published
publisher: GITO mbH Verlag
quality_controlled: '1'
status: public
title: Hybrid Decision Support in Product Creation - Improving performance with data
science and artificial intelligence
type: journal_article
user_id: '405'
volume: 2025
year: '2025'
...
---
_id: '27491'
abstract:
- lang: eng
text: ' Students often have a lack of understanding and awareness of where, how,
and why personal data about them is collected and processed. Especially, when
interacting with data-driven digital artifacts, an appropriate perception of the
data collection and processing is necessary for self-determination. This dissertation
deals with the development and evaluation of a concept called data awareness which
aims to foster students’ self-determination interacting with data-driven digital
artifacts.'
author:
- first_name: Lukas
full_name: Höper, Lukas
id: '58041'
last_name: Höper
citation:
ama: 'Höper L. Developing and Evaluating the Concept Data Awareness for K12 Computing
Education. In: 21st Koli Calling International Conference on Computing Education
Research. Koli Calling ’21. Association for Computing Machinery; 2021. doi:10.1145/3488042.3490509'
apa: Höper, L. (2021). Developing and Evaluating the Concept Data Awareness for
K12 Computing Education. 21st Koli Calling International Conference on Computing
Education Research. https://doi.org/10.1145/3488042.3490509
bibtex: '@inproceedings{Höper_2021, place={New York, NY, USA}, series={Koli Calling
’21}, title={Developing and Evaluating the Concept Data Awareness for K12 Computing
Education}, DOI={10.1145/3488042.3490509},
booktitle={21st Koli Calling International Conference on Computing Education Research},
publisher={Association for Computing Machinery}, author={Höper, Lukas}, year={2021},
collection={Koli Calling ’21} }'
chicago: 'Höper, Lukas. “Developing and Evaluating the Concept Data Awareness for
K12 Computing Education.” In 21st Koli Calling International Conference on
Computing Education Research. Koli Calling ’21. New York, NY, USA: Association
for Computing Machinery, 2021. https://doi.org/10.1145/3488042.3490509.'
ieee: 'L. Höper, “Developing and Evaluating the Concept Data Awareness for K12 Computing
Education,” 2021, doi: 10.1145/3488042.3490509.'
mla: Höper, Lukas. “Developing and Evaluating the Concept Data Awareness for K12
Computing Education.” 21st Koli Calling International Conference on Computing
Education Research, Association for Computing Machinery, 2021, doi:10.1145/3488042.3490509.
short: 'L. Höper, in: 21st Koli Calling International Conference on Computing Education
Research, Association for Computing Machinery, New York, NY, USA, 2021.'
date_created: 2021-11-16T07:59:49Z
date_updated: 2024-09-16T08:32:39Z
department:
- _id: '67'
doi: 10.1145/3488042.3490509
keyword:
- data awareness
- machine learning
- data science education
- data-driven digital artifacts
- artificial intelligence
language:
- iso: eng
place: New York, NY, USA
publication: 21st Koli Calling International Conference on Computing Education Research
publication_identifier:
isbn:
- '9781450384889'
publisher: Association for Computing Machinery
quality_controlled: '1'
series_title: Koli Calling '21
status: public
title: Developing and Evaluating the Concept Data Awareness for K12 Computing Education
type: conference
user_id: '58041'
year: '2021'
...
---
_id: '5910'
author:
- first_name: Birte
full_name: Heinemann, Birte
last_name: Heinemann
- first_name: Simone
full_name: Opel, Simone
last_name: Opel
- first_name: Lea
full_name: Budde, Lea
last_name: Budde
- first_name: Carsten
full_name: Schulte, Carsten
last_name: Schulte
- first_name: Daniel
full_name: Frischemeier, Daniel
last_name: Frischemeier
- first_name: Rolf
full_name: Biehler, Rolf
last_name: Biehler
- first_name: Susanne
full_name: Podworny, Susanne
last_name: Podworny
- first_name: Thomas
full_name: Wassong, Thomas
id: '21241'
last_name: Wassong
citation:
ama: Heinemann B, Opel S, Budde L, et al. Drafting a Data Science Curriculum for
Secondary Schools. Proceedings of the 18th Koli Calling International Conference
on Computing Education Research - Koli Calling ’18. 2018;(17):1-5. doi:10.1145/3279720.3279737
apa: Heinemann, B., Opel, S., Budde, L., Schulte, C., Frischemeier, D., Biehler,
R., … Wassong, T. (2018). Drafting a Data Science Curriculum for Secondary Schools.
Proceedings of the 18th Koli Calling International Conference on Computing
Education Research - Koli Calling ’18, (17), 1–5. https://doi.org/10.1145/3279720.3279737
bibtex: '@article{Heinemann_Opel_Budde_Schulte_Frischemeier_Biehler_Podworny_Wassong_2018,
title={Drafting a Data Science Curriculum for Secondary Schools}, DOI={10.1145/3279720.3279737},
number={17}, journal={Proceedings of the 18th Koli Calling International Conference
on Computing Education Research - Koli Calling ’18}, author={Heinemann, Birte
and Opel, Simone and Budde, Lea and Schulte, Carsten and Frischemeier, Daniel
and Biehler, Rolf and Podworny, Susanne and Wassong, Thomas}, year={2018}, pages={1–5}
}'
chicago: 'Heinemann, Birte, Simone Opel, Lea Budde, Carsten Schulte, Daniel Frischemeier,
Rolf Biehler, Susanne Podworny, and Thomas Wassong. “Drafting a Data Science Curriculum
for Secondary Schools.” Proceedings of the 18th Koli Calling International
Conference on Computing Education Research - Koli Calling ’18, no. 17 (2018):
1–5. https://doi.org/10.1145/3279720.3279737.'
ieee: B. Heinemann et al., “Drafting a Data Science Curriculum for Secondary
Schools,” Proceedings of the 18th Koli Calling International Conference on
Computing Education Research - Koli Calling ’18, no. 17, pp. 1–5, 2018.
mla: Heinemann, Birte, et al. “Drafting a Data Science Curriculum for Secondary
Schools.” Proceedings of the 18th Koli Calling International Conference on
Computing Education Research - Koli Calling ’18, no. 17, 2018, pp. 1–5, doi:10.1145/3279720.3279737.
short: B. Heinemann, S. Opel, L. Budde, C. Schulte, D. Frischemeier, R. Biehler,
S. Podworny, T. Wassong, Proceedings of the 18th Koli Calling International Conference
on Computing Education Research - Koli Calling ’18 (2018) 1–5.
date_created: 2018-11-27T10:44:10Z
date_updated: 2022-01-06T07:02:47Z
doi: 10.1145/3279720.3279737
issue: '17'
keyword:
- Curriculum Development
- Data Science
- Secondary Sc
- acm reference format
- big data
- curriculum development
- data literacy
- data science
- educa-
- interdisciplinary
- secondary schools
- tion
language:
- iso: eng
page: 1-5
publication: Proceedings of the 18th Koli Calling International Conference on Computing
Education Research - Koli Calling '18
publication_identifier:
isbn:
- '9781450365352'
publication_status: published
status: public
title: Drafting a Data Science Curriculum for Secondary Schools
type: journal_article
user_id: '21241'
year: '2018'
...