Programas de mentoria para estudantes de cursos de computação: Uma Revisão Sistemática da Literatura
Resumo
Estudantes de computação frequentemente enfrentam altas taxas de reprovação e evasão, o que evidencia desafios relacionados à persistência e ao engajamento. Programas de mentoria têm sido propostos como estratégias para apoiar o desenvolvimento acadêmico e pessoal. Este estudo apresenta uma revisão sistemática de iniciativas de mentoria na educação em computação, conduzida de acordo com o método PRISMA. Foram analisados 11 artigos publicados entre 1995 e 2023. A revisão examina sua estrutura, implementação e resultados. Os achados indicam que a mentoria impacta positivamente o desempenho acadêmico, a retenção e o bem-estar, reforçando-a como uma abordagem eficaz para promover o sucesso em cursos de computação.
Palavras-chave:
Programas de mentoria, Estudantes de computação, Revisão sistemática, Desempenho acadêmico, Retenção
Referências
Boyer, K. E., Phillips, R., Wallis, M. D., Vouk, M. A., and Lester, J. C. (2009). Investigating the role of student motivation in computer science education through one-on-one tutoring. Computer Science Education.
Bruzza, M., Cabrera, A., and Tupia, M. (2017). Survey of the state of art based on picoc about the use of artificial intelligence tools and expert systems to manage and generate tourist packages. In Proceedings of the 2017 International Conference on Information Technology and Systems (ICTUS 2017), pages 290–296.
Burg, J., Pauca, V. P., Turkett, W., Fulp, E., Cho, S. S., Santago, P., Cañas, D., and Gage, H. D. (2015). Engaging non-traditional students in computer science through socially-inspired learning and sustained mentoring. ACM.
Byars-Winston, A., Womack, V. Y., Butz, A. R., McGee, R., Quinn, S. C., Utzerath, E., Saetermoe, C. L., and Thomas, S. B. (2018). Pilot study of an intervention to increase cultural awareness in research mentoring: Implications for diversifying the scientific workforce. Journal of Clinical and Translational Science, 2(2):86–94.
Cline, E., Abraham, M., Alaei, S., Dillon, H., Dinglasan-Panlilio, J., Heller, J., Kmail, Z., Lee, S.-J., Ma, E., Nahmani, M., Sesko, A., and Yeung, K. Y. (2023). Access in stem: An s-stem project supporting economically disadvantaged stem-interested students in their first two years. In 2023 ASEE Annual Conference & Exposition. American Society for Engineering Education.
Cottam, J. A., Menzel, S., and Greenblatt, J. (2011). Tutoring for retention. ACM.
Garcia, P., Perez, M., Farrell, D., Bork, S., Ericson, B., and Mondisa, J.-L. (2021). Supporting mutually beneficial near-peer mentoring relationships within computing education programs. IEEE.
Golding, P., Facey-Shaw, L., and Tennant, V. (2006). Effects of peer tutoring, attitude and personality on academic performance of first year introductory programming students. IEEE.
Jacobi, M. (1991). Mentoring and undergraduate academic success: A literature review. Review of Educational Research, 61(4):505–532.
Kessler, M. (2004). Exercise design for introductory programming:”learn-by-doing”basic oo-concepts using inverted curriculum. Master’s thesis, ETH, Eidgenössische Technische Hochschule Zürich, Department of Computer . . . .
Kulkarni, A., Yoon, I., Pennings, P. S., Okada, K., and Domingon, C. (2018). Promoting diversity in computing. ACM.
Mithun, S. and Luo, X. (2023). Improving perceptions of underrepresented students towards computing majors through mentoring. ACM.
Newman, C. B. (2016). Rethinking race in faculty-student interactions and mentoring relationships with african american engineering and computer science majors. Journal of Women and Minorities in Science and Engineering.
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021). The prisma 2020 statement: an updated guideline for reporting systematic reviews. bmj, 372.
Rodriguez Wimberly, M. K., Rudolph, A. L., Hood, C., Scherr, R. E., and Pfund, C. (2023). A model of mentorship for students from historically underrepresented groups in stem. Understanding Interventions, 14(2).
Saacks-Giguette, M. (1995). An undergraduate research and mentoring program in computer science. ACM.
Salguero, A., Griswold, W. G., Alvarado, C., and Porter, L. (2021). Understanding sources of student struggle in early computer science courses. In Proceedings of the 17th ACM Conference on International Computing Education Research, ICER 2021, page 319–333, New York, NY, USA. Association for Computing Machinery.
Siddaway, A. P., Wood, A. M., and Hedges, L. V. (2019). How to do a systematic review: a best practice guide for conducting and reporting narrative reviews, meta-analyses, and meta-syntheses. Annual review of psychology, 70(1):747–770.
Silva, U. F., Ferreira, D. J., Ambrósio, A. P. L., and Oliveira, J. L. d. S. (2022). Problems faced by female computer science undergraduates: a systematic review. Educação e Pesquisa, 48:e236643.
Bruzza, M., Cabrera, A., and Tupia, M. (2017). Survey of the state of art based on picoc about the use of artificial intelligence tools and expert systems to manage and generate tourist packages. In Proceedings of the 2017 International Conference on Information Technology and Systems (ICTUS 2017), pages 290–296.
Burg, J., Pauca, V. P., Turkett, W., Fulp, E., Cho, S. S., Santago, P., Cañas, D., and Gage, H. D. (2015). Engaging non-traditional students in computer science through socially-inspired learning and sustained mentoring. ACM.
Byars-Winston, A., Womack, V. Y., Butz, A. R., McGee, R., Quinn, S. C., Utzerath, E., Saetermoe, C. L., and Thomas, S. B. (2018). Pilot study of an intervention to increase cultural awareness in research mentoring: Implications for diversifying the scientific workforce. Journal of Clinical and Translational Science, 2(2):86–94.
Cline, E., Abraham, M., Alaei, S., Dillon, H., Dinglasan-Panlilio, J., Heller, J., Kmail, Z., Lee, S.-J., Ma, E., Nahmani, M., Sesko, A., and Yeung, K. Y. (2023). Access in stem: An s-stem project supporting economically disadvantaged stem-interested students in their first two years. In 2023 ASEE Annual Conference & Exposition. American Society for Engineering Education.
Cottam, J. A., Menzel, S., and Greenblatt, J. (2011). Tutoring for retention. ACM.
Garcia, P., Perez, M., Farrell, D., Bork, S., Ericson, B., and Mondisa, J.-L. (2021). Supporting mutually beneficial near-peer mentoring relationships within computing education programs. IEEE.
Golding, P., Facey-Shaw, L., and Tennant, V. (2006). Effects of peer tutoring, attitude and personality on academic performance of first year introductory programming students. IEEE.
Jacobi, M. (1991). Mentoring and undergraduate academic success: A literature review. Review of Educational Research, 61(4):505–532.
Kessler, M. (2004). Exercise design for introductory programming:”learn-by-doing”basic oo-concepts using inverted curriculum. Master’s thesis, ETH, Eidgenössische Technische Hochschule Zürich, Department of Computer . . . .
Kulkarni, A., Yoon, I., Pennings, P. S., Okada, K., and Domingon, C. (2018). Promoting diversity in computing. ACM.
Mithun, S. and Luo, X. (2023). Improving perceptions of underrepresented students towards computing majors through mentoring. ACM.
Newman, C. B. (2016). Rethinking race in faculty-student interactions and mentoring relationships with african american engineering and computer science majors. Journal of Women and Minorities in Science and Engineering.
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021). The prisma 2020 statement: an updated guideline for reporting systematic reviews. bmj, 372.
Rodriguez Wimberly, M. K., Rudolph, A. L., Hood, C., Scherr, R. E., and Pfund, C. (2023). A model of mentorship for students from historically underrepresented groups in stem. Understanding Interventions, 14(2).
Saacks-Giguette, M. (1995). An undergraduate research and mentoring program in computer science. ACM.
Salguero, A., Griswold, W. G., Alvarado, C., and Porter, L. (2021). Understanding sources of student struggle in early computer science courses. In Proceedings of the 17th ACM Conference on International Computing Education Research, ICER 2021, page 319–333, New York, NY, USA. Association for Computing Machinery.
Siddaway, A. P., Wood, A. M., and Hedges, L. V. (2019). How to do a systematic review: a best practice guide for conducting and reporting narrative reviews, meta-analyses, and meta-syntheses. Annual review of psychology, 70(1):747–770.
Silva, U. F., Ferreira, D. J., Ambrósio, A. P. L., and Oliveira, J. L. d. S. (2022). Problems faced by female computer science undergraduates: a systematic review. Educação e Pesquisa, 48:e236643.
Publicado
04/12/2025
Como Citar
MOREIRA, Camila Soares; LIMA, Maurício Rodrigues; DIAS, Elisângela Silva.
Programas de mentoria para estudantes de cursos de computação: Uma Revisão Sistemática da Literatura. In: ESCOLA REGIONAL DE INFORMÁTICA DE GOIÁS (ERI-GO), 13. , 2025, Luziânia/GO.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 80-89.
DOI: https://doi.org/10.5753/erigo.2025.17016.
