A web application for student performance prediction
Abstract
This article describes the development of a web application for students academic performance. The article deals with the main phases of Data Mining (data selection, attribute selection, predictive model evaluation). The predictive model receives as input behavioral data entry and provides a student performance estimate using three prediction techniques in a user-friendly web interface.
Keywords:
Web application, academic performance, Data Mining
References
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Fernandes, E., Holanda, M., Victorino, M., Borges, V., Carvalho, R., and Van Erven, G. (2019). Educational data mining: Predictive analysis of academic performance of public school students in the capital of brazil. Journal of Business Research, 94:335– 343.
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Rabelo, H., Burlamaqui, A., Valentim, R., de Souza Rabelo, D. S., and Medeiros, S. (2017). Utilizac¸ ˜ao de t´ecnicas de minerac¸ ˜ao de dados educacionais para predição de desempenho de alunos de ead em ambientes virtuais de aprendizagem. In Brazilian Symposium on Computers in Education (Simp´osio Brasileiro de Inform´atica na Educac¸ ˜ao-SBIE), volume 28, page 1527.
Rodrigues, R., Gomes, A. S., and Adeodato, P. (2017). Uma abordagem de minerac¸ ˜ao de dados educacionais para previs˜ao de desempenho a partir de padr˜oes comportamentais de autorregulac¸ ˜ao da aprendizagem. In Anais dos Workshops do Congresso Brasileiro de Inform´atica na Educac¸ ˜ao, volume 6, page 13.
Romero, C. and Ventura, S. (2007). Educational data mining: A survey from 1995 to 2005. Expert systems with applications, 33(1):135–146.
Witten, I. H., Frank, E., Hall, M. A., and Pal, C. J. (2016). Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann.
Baker, R. et al. (2010). Data mining for education. International encyclopedia of education, 7(3):112–118.
Baker, R., Isotani, S., and Carvalho, A. (2011). Minerac¸ao de dados educacionais: Oportunidades para o brasil. Brazilian Journal of Computers in Education, 19(02):03.
Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C., Wirth, R., et al. (2000). Crisp-dm 1.0: Step-by-step data mining guide. SPSS inc, 16.
Costa, E., Baker, R. S., Amorim, L., Magalh˜aes, J., and Marinho, T. (2013). Minerac¸ ˜ao de dados educacionais: conceitos, t´ecnicas, ferramentas e aplicac¸ ˜oes. Jornada de Atualizac¸ ˜ao em Inform´atica na Educac¸ ˜ao, 1(1):1–29.
Fernandes, E., Holanda, M., Victorino, M., Borges, V., Carvalho, R., and Van Erven, G. (2019). Educational data mining: Predictive analysis of academic performance of public school students in the capital of brazil. Journal of Business Research, 94:335– 343.
Gonc¸alves, T. C., da Silva, J. C., and Cortes, O. A. C. (2018). T´ecnicas de minerac¸ ˜ao de dados: um estudo de caso da evas˜ao no ensino superior do instituto federal do maranh˜ao. Revista Brasileira de Computac¸ ˜ao Aplicada, 10(3):11–20.
Rabelo, H., Burlamaqui, A., Valentim, R., de Souza Rabelo, D. S., and Medeiros, S. (2017). Utilizac¸ ˜ao de t´ecnicas de minerac¸ ˜ao de dados educacionais para predição de desempenho de alunos de ead em ambientes virtuais de aprendizagem. In Brazilian Symposium on Computers in Education (Simp´osio Brasileiro de Inform´atica na Educac¸ ˜ao-SBIE), volume 28, page 1527.
Rodrigues, R., Gomes, A. S., and Adeodato, P. (2017). Uma abordagem de minerac¸ ˜ao de dados educacionais para previs˜ao de desempenho a partir de padr˜oes comportamentais de autorregulac¸ ˜ao da aprendizagem. In Anais dos Workshops do Congresso Brasileiro de Inform´atica na Educac¸ ˜ao, volume 6, page 13.
Romero, C. and Ventura, S. (2007). Educational data mining: A survey from 1995 to 2005. Expert systems with applications, 33(1):135–146.
Witten, I. H., Frank, E., Hall, M. A., and Pal, C. J. (2016). Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann.
Published
2019-09-25
How to Cite
PEREIRA, Márcio; OLIVEIRA, Alana; TEIXEIRA, Mario M.; S. NETO, Carlos de Salles.
A web application for student performance prediction. In: REGIONAL SCHOOL ON COMPUTING OF CEARÁ, MARANHÃO, AND PIAUÍ (ERCEMAPI), 7. , 2019, São Luís/MA.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 198-205.
