APPLICABILITY OF MACHINE LEARNING TECHNIQUE IN DEVELOPING A STUDENT ASSESMENT AND PERFORMANCE FRAMEWORK

Gautam Anand

Vol. 2, Jan-Dec 2016

Page Number: 445-451

Abstract:

Data mining is an emerging technology that is used in each and every system. Education data mining is a beneficial discipline because the amount of data in education system is increasing day by day. Its usage in higher education is relatively new but its importance increases because of expanding database There are many approaches for measuring students' performance ,data mining is one of them .With the help of data mining the hidden information in the database gets out which helps in improvement of students performance . Education data mining is used to study the data available in education field to bring the hidden data, i.e. essential and useful information from it . There are many methods of data mining used to analyse a student’s performance classification, method like decision tree is most used to measure the students' performance. With the help of these, it is easy to improve the result and future of students. More methods like clustering, regression, time series, and neural network can also be applied

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