Predictive Analysis in Academic: An Insight to Challenges and Techniques

Abstract

The educational sector generates a large amount of data on a daily basis because of the rapid growth of data generation an educational system is facing difficulties in predicting students’ performance which is an essential for education institutions and existing methods or not satisfactory for predicting students’ performance because of large data sets. As educational institutions looking for an efficient and advanced technology which predicts student’s performance, big data and predictive learning analysis is an emerging trend in educational system to improve students’ academic learning and growth of the institution in today’s competitive world. This paper focus on a literature review on an associated benefits and challenges by implementing predictive learning analytics and brief information about different predictive analytics techniques which can be implemented in education system to gain meaningful insights into available data and to assist the education system to improve their growth by monitoring the students closely based on the predicted data.