Computing Specializations: Perceptions of AI and Cybersecurity Among CS Students

Author:

Ojha Vidushi1ORCID,Perdriau Christopher1ORCID,Lagesse Brent2ORCID,Lewis Colleen M.1ORCID

Affiliation:

1. University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA

2. University of Washington Bothell, Bothell, WA, USA

Funder

National Science Foundation

Publisher

ACM

Reference35 articles.

1. 2021. The Workforce Framework for Cybersecurity (NICE framework) Work Roles. https://niccs.cisa.gov/about-niccs/ workforce-framework-cybersecurity-nice-framework-work-roles 2021. The Workforce Framework for Cybersecurity (NICE framework) Work Roles. https://niccs.cisa.gov/about-niccs/ workforce-framework-cybersecurity-nice-framework-work-roles

2. Author(s). In preparation. Title anonymized for review. (In preparation). Author(s). In preparation. Title anonymized for review. (In preparation).

3. Exploring Why Underrepresented Students Are Less Likely to Study Machine Learning and Artificial Intelligence

4. The Stereotypical Computer Scientist: Gendered Media Representations as a Barrier to Inclusion for Women

5. Why are some STEM fields more gender balanced than others?

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Modeling Women's Elective Choices in Computing;Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education;2023-12-22

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