StudentHistory: a Web System for Visual Analysis of the Performance of Undergraduate Students
Abstract
Student performance analysis at university is difficult, especially due to large number of students and diversity of courses. This work presents the web system StudentHistory for academic performance visual analysis of undergraduates at UFRN. It allows university professors to view Sankey graphs with the flow of students through classes according to their grades. The generation of these graphs occurs automatically, without need of in-depth knowledge of IT, Statistics or Design. This work describes design, development and an evaluation of this tool with participation of educators.
References
Barbosa, S.D.J.; Silva, B.S. (2010) Interação Humano-Computador. Elsevier.
Cairo, A. (2013) The Functional Art. Berkeley, CA: New Riders.
Couto, D.C.; Santana, A.L. (2017) Mineração de Dados Educacionais Aplicada à Identificação de Variáveis Associadas à Evasão e Retenção. Anais do II Congresso sobre Tecnologias na Educação (Ctrl+e 2017). Rio Tinto, Paraíba, p. 333-344.
Cortez, P.; Silva, A. (2008). Using data mining to predict secondary school student performance. In Proceedings of 5th Annual Future Business Technology Conference, Porto, Portugal, pages 5-12.
Larman, C. (2007) Utilizando UML e padrões: uma introdução à análise e ao projeto orientados a objetos e ao desenvolvimento interativo. 3.ed. Porto Alegre: Bookman.
Munzner, T. (2014) Visualization Analysis and Design. AK Peters.
Brasil, P.C.; Medeiros, T.J.; Nunes, I.D. (2018) Uma Revisão Sistemática Sobre o Uso de Learning Analytics em Ambientes Virtuais de Aprendizagem Brasileiros. Anais do III Congresso sobre Tecnologias na Educação (Ctrl+e 2018). Fortaleza, p. 371-380.
