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Gender Gap in Academia: Perceptions of Female Computer Science Academics

Published: 22 June 2015 Publication History

Abstract

Despite increased attention from Universities and Industry, the low representation of female students in Computer Science undergraduate degrees remains a major issue. Recognising this issue, leading tech companies have established strong and committed diversity initiatives but have only reached up to 17\% female representation in their tech departments. The causes of the reduced attraction and retention of female students are varied and have been widely studied, advancing the understanding of why female students do not take up or leave Computer Science. However, few analyses look at the perceptions of the females that have stayed in the field. In this paper, we explore the viewpoints of female academics and postgraduate students in Computer Science with various undergraduate backgrounds and pathways into academia. Our analysis of their interviews shows the influence of family, exposure, culture, sexism and gendered thought on their perceptions of the field, and of themselves and their peers. We identify that perceptions of identity conflict and a lack of belonging to the discipline persist even for these high-performing professionals.

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cover image ACM Conferences
ITiCSE '15: Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education
June 2015
370 pages
ISBN:9781450334402
DOI:10.1145/2729094
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 22 June 2015

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Author Tags

  1. computer science education
  2. gender diversity

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ITiCSE '15 Paper Acceptance Rate 54 of 124 submissions, 44%;
Overall Acceptance Rate 552 of 1,613 submissions, 34%

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Cited By

View all
  • (2024)Human-Centered Interventions to Empower Gender Diversity in Software EngineeringProceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering10.1145/3661167.3661182(494-499)Online publication date: 18-Jun-2024
  • (2024)Why Female Students Are Dropping out of CS ProgramsProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653635(304-310)Online publication date: 3-Jul-2024
  • (2024)Computer Science Undergraduate Programs in AustraliaACM Inroads10.1145/364481615:1(18-26)Online publication date: 20-Feb-2024
  • (2023)Women and Gender Disparities in Computer Science: A Case Study at the University of PaduaProceedings of the 2023 ACM Conference on Information Technology for Social Good10.1145/3582515.3609521(82-91)Online publication date: 6-Sep-2023
  • (2023)Social Impacts of a Global Pandemic in a Gender-Balanced Data Structures Course2023 Conference on Research in Equitable and Sustained Participation in Engineering, Computing, and Technology (RESPECT)10.1109/RESPECT60069.2023.00021(64-71)Online publication date: 20-Jun-2023
  • (2023)Software EngineersWomen and Persona Performance10.1007/978-3-031-33152-7_4(63-86)Online publication date: 24-Jul-2023
  • (2023)Gender Differences and Bias in Artificial IntelligenceGender in AI and Robotics10.1007/978-3-031-21606-0_2(27-43)Online publication date: 26-Feb-2023
  • (2022)A Brief Discussion on Incentives and Barriers to Computational Thinking EducationResearch Anthology on Computational Thinking, Programming, and Robotics in the Classroom10.4018/978-1-6684-2411-7.ch012(253-269)Online publication date: 2022
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  • (2022)Classifying the quality of robotics-enhanced lesson plans using motivation variables, word count, and sentiment analysis of reflectionsContemporary Educational Psychology10.1016/j.cedpsych.2022.102058(102058)Online publication date: Feb-2022
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