A review on machine learning based student’s academic performance prediction systems

Prediction of academic performance of students beforehand provides scope to universities to lower their dropout rate and help the students in improving their performance. In this field, research is being done to find out which algorithm is best to use and which features should be considered while predicting the academic performance of students. This kind of research work has been increasing over the years. This paper performs a survey on the techniques used in various research papers for academic performance prediction and also point out the limitations if any, in the methodology used.