Abstract:
The intent of the research paper is to presents a brief review of the use of a large amount
of student data that was kept by the educational institutions. Using the data mining
technique student result can be predicted from these data. The purpose of this research
paper is to provide an overview of how an educational institution can predict the student
result, what tools are used on this purpose, what kind of data is needed for the
prediction, how students can visualize their current progress and also can see their
predicted result. Finally, this paper will propose a recommended system for the students
and the institutions to improve the student progress depending on some specific data
such as, predict the student final grade depending on the student’s assignment,
presentation, attendance, quiz, mid, final mark on a particular subject and suggested
some predictive modeling such as Decision tree, Naïve Bayes. Compare the predictive
modeling with each other and also find out the impact the various variable in student
result prediction.
