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Women and Technology in Higher Education, A Case Study of the University of Nairobi, Faculty of Science and Technology

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  • Agunda, Monica A

    (Department of Educational Foundations (online), University of Nairobi.)

  • Ngesu, Lewis N

    (Department of Educational Foundations (online), University of Nairobi.)

  • Kalai, Jeremiah M

    (Department of Educational Foundations (online), University of Nairobi.)

Abstract

The general objective of the study was to establish and report on the number of women graduating in Computer Science and related fields and make recommendations for policy reviews and further research. The University of Nairobi, Faculty of Science and Technology was used as a case study. The study used descriptive research survey design. A census was undertaken for every year (2019 to 2022). Data was collected by studying historical data on graduation outputs (61st to 68th graduations) in Computer Science and related disciplines in the last four years. Data was analyzed using percentages captured through Microsoft Excel, and the results presented in tables. Reliability was tested using data source evaluation (verification of the graduation booklets obtained from the Academic Registrar’s office) and content validity was employed. The study found that, out of the 696 graduands in the last four years, only 166 (24%) were females against 530 (76%) males. This study recommends further research by stakeholders in education in order to understand the reasons behind this worrying phenomenon and further recommend mitigation measures from forums such as African Women Study Centre and Women’s Economic Empowerment Hub, to inform policy.

Suggested Citation

  • Agunda, Monica A & Ngesu, Lewis N & Kalai, Jeremiah M, 2024. "Women and Technology in Higher Education, A Case Study of the University of Nairobi, Faculty of Science and Technology," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(3s), pages 1371-1378, March.
  • Handle: RePEc:bcp:journl:v:8:y:2024:i:3s:p:1371-1378
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    References listed on IDEAS

    as
    1. Francine D. Blau & Lawrence M. Kahn, 2017. "The Gender Wage Gap: Extent, Trends, and Explanations," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
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