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Modeling the Pathways to Self-Confidence for Graduate School in Computing

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  • Annie M. Wofford

    (UCLA Moore Hall)

Abstract

Given the significant need to increase and diversify graduate enrollments within computing fields, it is vital to understand what shapes students’ pathways to computing graduate school. This study examines the predictors of undergraduate students’ self-confidence in being admitted to computing graduate school among students who enrolled in an introductory computing course during the 2015–2016 academic year and completed both an end-of-intro-course survey as well as a follow-up survey two years later. Guided by social cognitive career theory, this longitudinal and multi-institutional study uses structural equation modeling to illustrate the direct and indirect relationships between students’ social identities (specifically gender and race/ethnicity), psychosocial beliefs, perceptions of support, and self-confidence for computing graduate admission. Findings suggest that gender and racial/ethnic inequities in self-confidence for graduate admission are present during introductory computing courses, and women’s early perceptions in intro courses (e.g., math self-concept) seem to play an especially vital role in explaining why women ultimately report lower self-confidence for computing graduate admission than men. Findings also highlight the key mediating role of computing self-efficacy in cultivating students’ self-confidence for computing graduate admission. Taken together, these results have important implications for understanding intro computing students’ perceptions about their graduate school trajectories and how to foster a more diverse graduate applicant pool.

Suggested Citation

  • Annie M. Wofford, 2021. "Modeling the Pathways to Self-Confidence for Graduate School in Computing," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(3), pages 359-391, May.
    • Handle: RePEc:spr:reihed:v:62:y:2021:i:3:d:10.1007_s11162-020-09605-9
    DOI: 10.1007/s11162-020-09605-9
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    References listed on IDEAS

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    1. Laura W. Perna, 2004. "Understanding the Decision to Enroll in Graduate School: Sex and Racial/Ethnic Group Differences," The Journal of Higher Education, Taylor & Francis Journals, vol. 75(5), pages 487-527, September.
    2. Yonghong Jade Xu, 2016. "Aspirations and Application for Graduate Education: Gender Differences in Low-Participation STEM Disciplines," Research in Higher Education, Springer;Association for Institutional Research, vol. 57(8), pages 913-942, December.
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    Cited by:

    1. Kari L. George & Linda J. Sax & Annie M. Wofford & Sarayu Sundar, 2022. "The Tech Trajectory: Examining the Role of College Environments in Shaping Students’ Interest in Computing Careers," Research in Higher Education, Springer;Association for Institutional Research, vol. 63(5), pages 871-898, August.

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