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  • P326 - INFORMATIK 2022 - Informatik in den Naturwissenschaften
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Yes she can! How to encourage girls to choose a career path in computer science

Author:
Dodiya,Janki [DBLP] ;
Heinisch,Cornelia [DBLP] ;
Hess,Claudia [DBLP] ;
Kunz,Sibylle [DBLP] ;
Rebholz,Sandra [DBLP] ;
Schlömer,Inga [DBLP] ;
Steffen,Adrienne [DBLP] ;
Vaas,Silke [DBLP]
Abstract
Women are still underrepresented in studies and in job positions in the fields of STEM. This paper proposes a study and a lecture concept as measures to increase the number of women in Computer Science careers. The study aims to better understand barriers, drivers and influencing factors that affect young women's decision for or against a career in computer science. A lecture series on computer science is proposed, specifically designed for girls and young women to reduce fears and prejudices and increase the visibility of women in IT. This will also provide further research data that will enable adjusting to the requirements of the target group based on the research outcomes. With this article, the authors would like to initiate discussion on how universities can better gear their offerings to a female target group.
  • Citation
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Dodiya, Ja., Heinisch, Co., Hess, Cl., Kunz, Si., Rebholz, Sa., Schlömer, In., Steffen, Ad. & Vaas, Si., (2022). Yes she can! How to encourage girls to choose a career path in computer science. In: Demmler, D., Krupka, D. & Federrath, H. (Hrsg.), INFORMATIK 2022. Gesellschaft für Informatik, Bonn. (S. 131-134). DOI: 10.18420/inf2022_11
@inproceedings{mci/Dodiya2022,
author = {Dodiya,Janki AND Heinisch,Cornelia AND Hess,Claudia AND Kunz,Sibylle AND Rebholz,Sandra AND Schlömer,Inga AND Steffen,Adrienne AND Vaas,Silke},
title = {Yes she can! How to encourage girls to choose a career path in computer science},
booktitle = {INFORMATIK 2022},
year = {2022},
editor = {Demmler, Daniel AND Krupka, Daniel AND Federrath, Hannes} ,
pages = { 131-134 } ,
doi = { 10.18420/inf2022_11 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
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More Info

DOI: 10.18420/inf2022_11
ISBN: 978-3-88579-720-3
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2022
Language: en (en)

Keywords

  • Women in STEM
  • computer science careers
  • female-oriented lecture concept
Collections
  • P326 - INFORMATIK 2022 - Informatik in den Naturwissenschaften [146]

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Diese Digital Library basiert auf DSpace.

 

 


About uns | FAQ | Help | Imprint | Datenschutz

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