Analysis of Data in School Level Education System by using Datamining

Computer Science

Data mining techniques are used to extract useful knowledge from raw data. The knowledge gathered is valuable and greatly influences the decision maker. School Educational Data Mining (SEDM) is a method of gathering useful information that affects an organization. The increasing use of technology in education systems has led to the storage of large amounts of student data, which is important for the use of SEDM to improve teaching and learning processes. SEDM is useful in many areas such as identifying vulnerable students, identifying priority learning needs for different groups of students, increasing 12th grade rates, effectively assessing organizational performance, maximizing campus resources, and optimizing subject course renewal. This paper surveys the relevant studies in the SEDM field and contains the data and methodology used in those studies.

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