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Arian Leopold; Katharina Schulz; Anne Burkard; Michaela M. Köller; Daniela Renger – Social Psychology of Education: An International Journal, 2025
Due to the leaky pipeline, i.e., the continuous decline in the number of women along the academic career path, women are still underrepresented in many academic disciplines like STEM and philosophy. One theoretical model that explains this is the lack of fit framework (Heilman, Sex bias in work settings: The lack of fit model; Heilman & Caleo,…
Descriptors: Females, Disproportionate Representation, Gender Bias, Gender Discrimination
Tiago Sobral; Joana Vieira dos Santos; Jean-Christophe Giger; Maria Alexandra Teodósio – European Education, 2025
Despite the numerical predominance of women in higher education institutions (HEIs), significant underrepresentation in academic and leadership positions persists, highlighting ongoing gender inequalities. This study examines the role of management in addressing gender disparities and offensive behaviors within a Portuguese public HEI, using…
Descriptors: Administrator Role, Gender Bias, Higher Education, Family Work Relationship
Ariel Steele; Laura Parson – Innovative Higher Education, 2025
While women make up over half of doctoral students in the biological sciences, that number decreases as they progress through academic job rankings. The "leaky pipeline" and other metaphors have been used to describe the underrepresentation of women in STEM, but these metaphors fail to address how institutional structures, such as…
Descriptors: Doctoral Students, Biology, Student Experience, Females
Jean J. Ryoo; Michelle Choi; Wei Wei; Jacqualyn Blizzard-Caron; Ryan Clarke; Lillian Kohn; Daniel Voloch – Journal of Research on Technology in Education, 2025
This paper explores how minoritized Computer Science (CS) students articulate their sense of critical agency to positively impact the world around them, both for today and the future, when participating in a Girls Who Code program focused on ethics, equity, and underrepresentation in computing. Observations, interviews, and surveys were conducted…
Descriptors: Computer Science Education, Middle School Students, High School Students, Clubs