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Effective measures to foster girls’ interest in secondary computer science education: A Literature Review

Happe, Lucia 1; Buhnova, Barbora; Koziolek, Anne ORCID iD icon 1; Wagner, Ingo ORCID iD icon 1
1 Karlsruher Institut für Technologie (KIT)

Abstract:

The interest of girls in computing drops early during primary and secondary education, with minimal recovery in later education stages. In combination with the growing shortage of qualified computer science personnel, this is becoming a major issue, and also a target of numerous studies that examine measures, interventions, and strategies to boost girls’ commitment to computing. Yet, the results of existing studies are difficult to navigate, and hence are being very rarely employed in classrooms. In this paper, we summarize the existing body of knowledge on the effective interventions to recruit and retain girls in computer science education, intending to equip educators with a comprehensive and easy-to-navigate map of interventions recommended in the existing literature. To this end, we perform an aggregated umbrella literature review of 11 existing reviews on the topic, together accumulating joined knowledge from over 800 publications, and formulate the findings in a map of 22 concrete interventions structured in six groups according to their phase and purpose.


Verlagsausgabe §
DOI: 10.5445/IR/1000126951
Veröffentlicht am 30.11.2020
Originalveröffentlichung
DOI: 10.1007/s10639-020-10379-x
Scopus
Zitationen: 31
Web of Science
Zitationen: 21
Dimensions
Zitationen: 39
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Sport und Sportwissenschaft (IfSS)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1360-2357, 1573-7608
KITopen-ID: 1000126951
Erschienen in Education and information technologies
Verlag Springer
Band 26
Heft 3
Seiten 2811–2829
Vorab online veröffentlicht am 16.11.2020
Schlagwörter Computer science education, Girls, Interventions, Motivation, Interest, Self-efficacy
Nachgewiesen in Dimensions
Web of Science
Scopus
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