Student profiling to improve teaching and learning: A data mining approach

Data mining is a technology used in different disciplines to search for significant relationships among variables in large data sets. In this paper, we concentrate on the application of data mining in an educational environment. This study can be used to help teachers to classify students' academic success, along with their determination measured by a grit test, and thus modify their teaching for different groups of students. According to this classification, one can arrange remedial classes or extra tests for the required students. Also students can monitor their growth from semester to semester with the help of the application made.