Review on Predictive Analytics for Student Performance Prediction

  • Vandana Bharadi, Dr. Madan Lal Saini

Abstract

In the developing country India, the retention rate of students at under-graduate and post-graduate level should be improved. The reasons for student’s failure and incapability of clearing examination with expected grades should be analyzed and the factors responsible for their failure should be worked upon. With the wider capabilities of predictive analytics, it can be made possible. Most importantly apart from only considering student’s academic records, all other socio-economic factors also to be studies effectively. These tasks will be carried out under the planned research work.

Published
2020-06-07
How to Cite
Vandana Bharadi, Dr. Madan Lal Saini. (2020). Review on Predictive Analytics for Student Performance Prediction. International Journal of Advanced Science and Technology, 29(5s), 2057 - 2067. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/21309