Computer Science Students’ Perspectives on Job Search Information and Support Sources

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Authors: Kyoungjin Jang
Cited by: 0

Abstract

This research brief examines how computer science students navigate job search information and support in an increasingly competitive and AI-mediated labor market. Drawing on a mixed-methods study of job seeking computer science students, the report documents the wide range of human, institutional, and internet- and AI-based resources students use, how frequently they rely on each, and how useful they perceive different sources to be. The findings show that students assemble overlapping support ecosystems rather than relying on a single source, combining peer networks, industry contacts, online tools, and college-provided resources. While colleges offer substantial support, the report highlights misalignments between institutional resources and students’ needs across different stages of the job search, as well as equity concerns related to access to paid tools and professional networks. The report concludes with implications for educators and institutions seeking to better coordinate job search support and attend to students’ well-being during the college-to-work transition.

Fields of Study & Subjects

Higher Education and Employability Information Systems Education and Curriculum Development Career Development and Diversity

Publication details

Publication date
10 February 2026
Language
EN
Document type
Preprint