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

Tripti Mishra; Dharminder Kumar   and Sangeeta Gupta

doi:10.17485/ijst/2017/v10i24/110791

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

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2017/v10i24/110791

Year: 2017, Volume: 10, Issue: 24, Pages: 1-6

Original Article

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

Tripti Mishra^1*, Dharminder Kumar² and Sangeeta Gupta³

¹MewarUniversity, Chittorgarh – 312901, Rajasthan, India; [email protected] ²Department of Computer Science, G. J. University, Hisar – 125001, Haryana, India; [email protected] ³Guru Nanak Institute of Management, West Punjabi Bagh – 110026, Delhi, India; [email protected]

*Author for the correspondence:
Tripti Mishra
MewarUniversity, Chittorgarh – 312901, Rajasthan, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

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

Keywords: Academic Performance, Data Mining, Employability, Higher Education, Prediction, Survey