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Too Bureaucratic to Flexibly Learn about AI? The Human-Centered Development of a MOOC on Artificial Intelligence in and for Public Administration

Autor(en):
Dhungel, Anna-Katharina [DBLP] ;
Wessel, Daniel [DBLP] ;
Zoubir, Mourad [DBLP] ;
Heine, Moreen [DBLP]
Zusammenfassung
The public sector holds enormous potential for the use of artificial intelligence, which is also recognized and supported by the government. To realize this potential, however, it is imperative that civil servants have the necessary knowledge to recognise and optimally exploit the application and utilisation possibilities of AI. Massive open online courses (MOOC) are a promising way to help civil servants gain that required knowledge. But how can such a course be designed to become accepted by this target group? In this paper, we present a human-centered development approach to develop a MOOC about AI for civil servants. Using an analysis of the target audience’s mental models, knowledge needs, and attitudes, we iteratively developed short learning units that ground the abstract AI topics in concrete case scenarios taken from the public sector. First results of an expert evaluation (expertise in adult education, public sector, and AI) look promising and further evaluations with the target group are planned.
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Dhungel, A.-K., Wessel, D., Zoubir, M. & Heine, M., (2021). Too Bureaucratic to Flexibly Learn about AI? The Human-Centered Development of a MOOC on Artificial Intelligence in and for Public Administration. In: Schneegass, S., Pfleging, B. & Kern, D. (Hrsg.), Mensch und Computer 2021 - Tagungsband. New York: ACM. (S. 599-604). DOI: 10.1145/3473856.3473998
@inproceedings{mci/Dhungel2021,
author = {Dhungel, Anna-Katharina AND Wessel, Daniel AND Zoubir, Mourad AND Heine, Moreen},
title = {Too Bureaucratic to Flexibly Learn about AI? The Human-Centered Development of a MOOC on Artificial Intelligence in and for Public Administration},
booktitle = {Mensch und Computer 2021 - Tagungsband},
year = {2021},
editor = {Schneegass, Stefan AND Pfleging, Bastian AND Kern, Dagmar} ,
pages = { 599-604 } ,
doi = { 10.1145/3473856.3473998 },
publisher = {ACM},
address = {New York}
}

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Mehr Information

DOI: 10.1145/3473856.3473998
Datum: 2021
Sprache: en (en)
Typ: Text/Conference Paper

Keywords

  • moocs
  • artificial intelligence
  • E-government
  • adult education
  • public sector
  • civil servants
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  • Tagungsband MuC 2021 [80]

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Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.