Evaluation of Student Academic Performance using Improved Prism

Data mining techniques (DMT) are extensively used in educational field to find new hidden patterns from student’s data. Today, one of the main challenges that educational institutions face is the explosive growth of educational data of students and to use this data to improve the quality of decision-making. The study’s curiosity is in predicting the paths of students, thus identifying the student achievement. This paper takes consideration with the various factors on student performance in education in order to analyse the student achievement is high over schooling or in graduation.