Knowledge Discovery Through Time Series Applied to Students' Grades

  • Joaquim Assunção UFSM
  • Fernando Oliveira IFFar
  • Claiton Correa IFFar

Resumo


Assessment is a constant activity in education, in the school system, and the teaching-learning process. The traditional approach classifies the students learning level through grades. This paper shows an application of knowledge discovery and data mining through classification and clustering via time series modeling on students' grades from high school. We collected historical data from an institute of technology, from this, we created models that can be used to extract patterns to help teachers to understand the profile of the students and provide early warns about possible poor results.

Palavras-chave: Technical Courses, Data mining, Feature Extractions

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Publicado
30/06/2020
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ASSUNÇÃO, Joaquim; OLIVEIRA, Fernando; CORREA, Claiton. Knowledge Discovery Through Time Series Applied to Students' Grades. In: ENCONTRO NACIONAL DE COMPUTAÇÃO DOS INSTITUTOS FEDERAIS (ENCOMPIF), 7. , 2020, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 93-100. DOI: https://doi.org/10.5753/encompif.2020.11073.