Gender Gap? A Snapshot of a Bachelor Computer Science Course at Graz University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

Although career chances are good, technology, engineering and especially computer science (CS) related studies still do not attract as many female students as other fields. This paper describes a study in the context of an introductory CS course for first semester university students. In this course essential programming concepts are taught and exercised. The first contact with programming is crucial to keep students in the long run. By conducting a survey before and after the course we aim at finding short-term measures to improve the course on organizational level and answer questions about gender equality, such as "Are female students disadvantaged and thereby negatively affects their grades?" and "Is there a difference between female and male students in their perceived CS education prior to university and if, does this have an impact on their academic performance?". Female and male students’ self ratings regarding their programming skills are investigated concerning gender differences and whether they have an impact on their academic performance. Our results show, that neither previous education nor the students’ performance differ significantly according to gender. Self ratings differ significantly between genders, but for both genders self ratings do not correlate with academic performance.
Original languageEnglish
Title of host publicationECSA '19 - Proceedings of the 13th European Conference on Software Architecture
PublisherAssociation of Computing Machinery
Pages100-104
Number of pages5
Volume2
ISBN (Print)978-1-4503-7142-1
DOIs
Publication statusPublished - Sep 2019
Event13th European Conference on Software Architecture (ECSA) - FIAP Jean Monnet conference center, 30 rue Cabanis, 75014 Paris, Paris, France
Duration: 9 Sep 201913 Sep 2019
https://ecsa2019.univ-lille.fr/

Conference

Conference13th European Conference on Software Architecture (ECSA)
Abbreviated titleECSA'19
CountryFrance
CityParis
Period9/09/1913/09/19
Internet address

Fingerprint

bachelor
computer science
gender
programming
rating
female student
student
performance
university
semester
equality
gender-specific factors
education
career
contact
engineering

Keywords

  • computer science education
  • gender studies
  • university course

Cite this

Schindler, C., & Müller, M. (2019). Gender Gap? A Snapshot of a Bachelor Computer Science Course at Graz University of Technology. In ECSA '19 - Proceedings of the 13th European Conference on Software Architecture (Vol. 2, pp. 100-104). Association of Computing Machinery. https://doi.org/10.1145/3344948.3344969

Gender Gap? A Snapshot of a Bachelor Computer Science Course at Graz University of Technology. / Schindler, Christian; Müller, Matthias.

ECSA '19 - Proceedings of the 13th European Conference on Software Architecture . Vol. 2 Association of Computing Machinery, 2019. p. 100-104.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Schindler, C & Müller, M 2019, Gender Gap? A Snapshot of a Bachelor Computer Science Course at Graz University of Technology. in ECSA '19 - Proceedings of the 13th European Conference on Software Architecture . vol. 2, Association of Computing Machinery, pp. 100-104, 13th European Conference on Software Architecture (ECSA), Paris, France, 9/09/19. https://doi.org/10.1145/3344948.3344969
Schindler C, Müller M. Gender Gap? A Snapshot of a Bachelor Computer Science Course at Graz University of Technology. In ECSA '19 - Proceedings of the 13th European Conference on Software Architecture . Vol. 2. Association of Computing Machinery. 2019. p. 100-104 https://doi.org/10.1145/3344948.3344969
Schindler, Christian ; Müller, Matthias. / Gender Gap? A Snapshot of a Bachelor Computer Science Course at Graz University of Technology. ECSA '19 - Proceedings of the 13th European Conference on Software Architecture . Vol. 2 Association of Computing Machinery, 2019. pp. 100-104
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