Analysis of the presence of students from UFRN's Computer Science courses
Abstract
This study aims to analyze the presence of female students in UFRN Computer Science undergraduate courses. Open data from this institution about incoming students were used for such analysis, so as data from research works and from INEP. As a result, the percentage of female students in analyzed courses are lower than male ones. Two courses present initiatives for reverting this context, however these actions are one-time, and do not have permanence.
Keywords:
Analysis, Students, Computer Science, Data, UFRN
References
Are, C. (2020) How Instagram’s algorithm is censoring women and vulnerable users but helping online abusers, Feminist Media Studies, 20:5, 741-744, DOI: 10.1080/14680777.2020.1783805
Beaubouef, T. and Zhang, W. (2011). Where are the women computer science students?InJournal of Computing Sciences in Colleges.
Hamilton, M. The sexist algorithm. Behav Sci Law. 2019; 37: 145– 157. https://doi.org/10.1002/bsl.2406
Oliveira, J., Rocha, E., Santos, T., Medeiros, S., & Nunes, I. (2018). Análise atual da situação das alunas do curso Bacharelado em Tecnologia da Informação da UFRN . In Anais do XII Women in Information Technology. Porto Alegre: SBC. doi:10.5753/wit.2018.3396
Ribeiro, K., Azevedo, J., Maciel, C., & Bim, S. (2019). Uma análise de gênero a partir de dados da Sociedade Brasileira de Computação. In Anais do XIII Women in Information Technology, (pp. 159-163). Porto Alegre: SBC. doi:10.5753/wit.2019.6729
Vincent, G. M., & Viljoen, J. L. (2020). Racist Algorithms or Systemic Problems? Risk Assessments and Racial Disparities. Criminal Justice and Behavior, 47(12), 1576–1584. https://doi.org/10.1177/0093854820954501
Beaubouef, T. and Zhang, W. (2011). Where are the women computer science students?InJournal of Computing Sciences in Colleges.
Hamilton, M. The sexist algorithm. Behav Sci Law. 2019; 37: 145– 157. https://doi.org/10.1002/bsl.2406
Oliveira, J., Rocha, E., Santos, T., Medeiros, S., & Nunes, I. (2018). Análise atual da situação das alunas do curso Bacharelado em Tecnologia da Informação da UFRN . In Anais do XII Women in Information Technology. Porto Alegre: SBC. doi:10.5753/wit.2018.3396
Ribeiro, K., Azevedo, J., Maciel, C., & Bim, S. (2019). Uma análise de gênero a partir de dados da Sociedade Brasileira de Computação. In Anais do XIII Women in Information Technology, (pp. 159-163). Porto Alegre: SBC. doi:10.5753/wit.2019.6729
Vincent, G. M., & Viljoen, J. L. (2020). Racist Algorithms or Systemic Problems? Risk Assessments and Racial Disparities. Criminal Justice and Behavior, 47(12), 1576–1584. https://doi.org/10.1177/0093854820954501
Published
2021-07-18
How to Cite
MEDEIROS, Soraya R. S.; MEDEIROS, Inácio G..
Analysis of the presence of students from UFRN's Computer Science courses. In: WOMEN IN INFORMATION TECHNOLOGY (WIT), 15. , 2021, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 275-279.
ISSN 2763-8626.
DOI: https://doi.org/10.5753/wit.2021.15865.
