Increasing gender diversity in Computer Science

A research on gender inclusivity in materials provided during the matching and selection process

Bachelor thesis (2024)

Authors

Y. Lu Electrical Engineering, Mathematics and Computer Science

Contributors

S. de Wit Web Information Systems - EEMCS (mentor)
E.A. Aivaloglou Web Information Systems - EEMCS (mentor)
G.S. Vardoyan Quantum Computer Science - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
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Published Date

26-06-2024

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

This study evaluates the gender inclusivity of selection materials for computer science programs at TU Delft, TU Eindhoven, and Vrije Universiteit Amsterdam. By scrutinizing wording, imagery, and pronoun use, we determine the supportiveness and potential biases of these materials. While all three universities employ gender-neutral language and second-person pronouns, TU Delft stands out for its balanced gender representation in imagery and extensive preparatory resources using a normalized scoring system. In contrast, TU Eindhoven and Vrije Universiteit Amsterdam show greater gender imbalance in visuals and rely on absolute scores, potentially introducing bias. Future research should include non-binary gender representations and extend to more European universities to develop a comprehensive understanding of gender inclusivity in academic selection processes.