Students’ Performance and Employability Prediction through Data Mining: A Survey

Abstract

Objective: To systematically review the work done in the field of academic performance prediction and employability prediction of students in higher education. Methods: The survey first explain show higher education has become an exciting field of research and why the prediction of academic performance and employability is beneficial for the institutions. We also explain briefly in how many ways higher education is being provided world-wide. Then we discuss the work done in both the areas of prediction. Findings: The survey explores existing research highlights and finds that prediction of academic performance has progressed a lot but employability prediction is yet to mature. Application: It further suggests few parameters that have not been considered so far in predicting the performance or employability.