The Perceptions of students about Problems in Computing Higher Education

A Statistical Analysis




undergraduate computer science, students’ perceptions, gender discrimination, statistical analysis


Female students face various problems in the undergraduate computer science environment. In this paper we investigate undergraduate computer science students' perceptions of discrimination, harassment, drop out intention, gender devaluation, sense of belonging, gender stereotype, and self-efficacy. It also collects information about unpleasant facts that happened to students. A questionnaire was applied to two hundred and fifty students from undergraduate computer science courses from more than twenty universities in Brazil. Data from the questionnaire were analyzed using statistical methods. A comparison between men and women experiences is provided. In addition, we examine correlations between issues reported by the female students and their intentions to leave university. The results show that the majority of students in both sexes have a low sense of belonging and also that men bear some of the problems. Nevertheless, women suffer more from discrimination and gender stereotype than men.


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A. García-Holgado, J. Mena, F. J. García-Penalvo, and C. González, Inclusion of Gender Perspective in Computer Engineering Careers: Elaboration of a Questionnaire to Assess the Gender Gap in Tertiary Education, In 2018 IEEE Global Engineering Education Conference (EDUCON), 2018, 1547–1554.

A. García-Holgado, A. Vázquez-Ingelmo, S. Verdugo-Castro, and C. S. G. González, Actions to Promote Diversity in Engineering Studies: a Case Study in a Computer Science Degree. In 2019 IEEE Global Engineering Education Conference (EDUCON).

A. Master, S. Cheryan, and A. N. Meltzoff, Computing Whether she Belongs: Stereotypes Undermine Girls’ Interest and Sense of Belonging in Computer Science, Journal of Educational Psychology, 2016, 108(3), 424.

C. Martins, Manual de Análise de Dados Quantitativos com Recurso ao IBM SPSS: Saber Decidir, Fazer, Interpretar e Redigir, Braga: Psiquilíbrios Edições, 2011.

Ç. Topcu, and O. Erdur-Baker, Affective and Cognitive Empathy as Mediators of Gender Differences in Cyber and Traditional Bullying. School Psychology International, 2012, 33(5), 550–561.

D. Michell, C. Szabo, K. Falkner, and A. Szorenyi, Towards a Socio-ecological Framework to Address Gender Inequity in Computer Science. Computers & Education, 2018, 126, 324–333.

F. Faleiros, C. Käppler, F. A. R. Pontes, S. S. da Costa Silva, F. D. S. N. de Goes, and C. D. Cucick, Uso de Questionário Online e Divulgação Virtual como Estratégia de Coleta de Dados em Estudos Científicos, Texto & Contexto Enfermagem, 2016, 25(4), 1–6.

I. Ruthotto, Q. Kreth, J. Stevens, C. Trively, and J. Melkers, Lurking and Participation in the Virtual Classroom: The Effects of Gender, Race, and Age Among Graduate Students in Computer Science, Computers & Education, 2020, 151, 103854.

I. Vekiri, and A. Chronaki, Gender Issues in Technology Use: Perceived Social Support, Computer Self-efficacy and Value Beliefs, and Computer Use Beyond School, Computers & Education, 2008, 51(3), 1392–1404.

J. M. Twenge, and G. N. Martin, Gender Differences in Associations Between Digital Media Use and Psychological Well-being: Evidence from Three Large Datasets, Journal of Adolescence, 2020, 79, 91-102.

L. Sax, J. Blaney, K. Lehman, S. Rodriguez, K. George, and C. Zavala, Sense of Belonging in Computing: The Role of Introductory Courses for Women and Underrepresented Minority Students. Social Sciences, 2018, 7(8), 122.

M. Hinckle, A. Rachmatullah, B. Mott, K. E. Boyer, J. Lester, and E. Wiebe, The Relationship of Gender, Experiential, and Psychological Factors to Achievement in Computer Science. In Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020, 225-231.

Q. Li, Cyberbullying in Schools: A Research of Gender Differences. School Psychology International, 2006 27(2), 157–170.

R. Del Rey, L. Lazuras, J. A. Casas, V. Barkoukis, R. Ortega-Ruiz, and H. Tsorbatzoudis, Does Empathy Predict (Cyber) Bullying Perpetration, and How do Age, Gender and Nationality Affect this Relationship? Learning and Individual Differences, 2016, 45, 275–281.

S. Cheryan, E. J. Lombard, L. Hudson, K. Louis, V. C. Plaut, and M. C. Murphy, Double Isolation: Identity Expression Threat Predicts Greater Gender Disparities in Computer Science, Self and Identity, 2019, 1–23.

S. Cheryan, A. Master, and A. N. Meltzoff, Cultural Stereotypes as Gatekeepers: Increasing Girls’ Interest in Computer Science and Engineering by Diversifying Stereotypes, Frontiers in Psychology, 2015, 6, 49.

S. Cheryan, A. N. Meltzoff, and S. Kim, Classrooms Matter: The Design of Virtual Classrooms Influences Gender Disparities in Computer Science Classes, Computers & Education, 2011, 57(2), 1825–1835.

S. C. Koch, S. M. Muller, and M. Sieverding, Women and computers. effects of stereotype threat on attribution of failure. Computers & Education, 2008, 51(4), 1795–1803.

S. T. Volkel, W. Wilkowska, and M. Ziefle, Gender-specific Motivation and Expectations Toward Computer Science, In Proceedings of the 4th Conference on Gender & IT, 2018, 123–134.

T. Berg, A. Sharpe, and E. Aitkin, Females in Computing: Understanding Stereotypes Through Collaborative Picturing, Computers & Education, 2018, 126, 105–114.

T. J. Misa, Gender Codes.: Why Women Are Leaving Computing. John Wiley & Sons, 2011.

National Science Foundation, Women, Minorities, and Persons with Disabilities in Science and Engineering, Arlington, 2019, Vol. A.




How to Cite

Silva, U. F., James Ferreira, D., Santos de Campos, D., & Cavalcante Gonçalves, A. (2021). The Perceptions of students about Problems in Computing Higher Education : A Statistical Analysis. International Journal for Innovation Education and Research, 9(5), 1–17.