Involving Girls in STEM: A Study on Gender Bias from Schooling to University

Gender disparity in STEM fields, particularly in computer science (CS), remains a global challenge due to the underrepresentation of women. Factors such as educational background and pre-university choices could influence this disparity. Gender bias and stereotypes, starting in childhood, could significantly deter female enrollment in CS programs. This study explores the educational experiences and reasons behind gender disparities in the Bachelor’s degree program in Computer Science at the University of Padova, aiming to promote gender equality in academia and the Information and Communication Technology industry. Data were collected from 167 students, revealing gender differences in secondary education and motivations for pursuing CS. Gender disparities were noted in perceived difficulties in facing different courses, from programming to numerical calculus, and in perceptions of bias, with females more likely to perceive women as disadvantaged, and the stereotype of “CS is for men” being more prevalent among older generations. Both genders expressed moderate optimism about increasing female representation in CS and suggested solutions such as school interventions, practical initiatives, curriculum integration, scholarships, and female quotas.

Authors

Institutions

Publication Details

Journal
Journal of Postsecondary Student Success
Published
2026-04-27
DOI
https://doi.org/10.33009/fsop_jpss139649
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Involving Girls in STEM: A Study on Gender Bias from Schooling to University

Valentina Fietta, Ombretta Gaggi, Merylin Monaro, Nicolò Navarin
Journal of Postsecondary Student Success
Teaching and Learning Programming
article

Involving Girls in STEM: A Study on Gender Bias from Schooling to University

Valentina Fietta, Ombretta Gaggi, Merylin Monaro, Nicolò Navarin
article en

Abstract

Gender disparity in STEM fields, particularly in computer science (CS), remains a global challenge due to the underrepresentation of women. Factors such as educational background and pre-university choices could influence this disparity. Gender bias and stereotypes, starting in childhood, could significantly deter female enrollment in CS programs. This study explores the educational experiences and reasons behind gender disparities in the Bachelor’s degree program in Computer Science at the University of Padova, aiming to promote gender equality in academia and the Information and Communication Technology industry. Data were collected from 167 students, revealing gender differences in secondary education and motivations for pursuing CS. Gender disparities were noted in perceived difficulties in facing different courses, from programming to numerical calculus, and in perceptions of bias, with females more likely to perceive women as disadvantaged, and the stereotype of “CS is for men” being more prevalent among older generations. Both genders expressed moderate optimism about increasing female representation in CS and suggested solutions such as school interventions, practical initiatives, curriculum integration, scholarships, and female quotas.

Journal of Postsecondary Student SuccessVol. 5(3)
University of Padua (IT)
Università degli Studi di Padova
Gender equality
Openalex Percentile: Top 13%
Teaching and Learning Programming
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.