Unified Prediction Model for Employability in Indian Higher Education System
Pooja Thakar, Anil Mehta, Manisha

TL;DR
This paper introduces a unified predictive model for student employability in Indian higher education, demonstrating its applicability across diverse states and institutions, and establishing no significant regional differences in employability prediction.
Contribution
The paper develops and validates a universal employability prediction model applicable across various Indian states and institutions, addressing the lack of scalable, generalized approaches.
Findings
Model works effectively across 17 states and multiple institutions.
No significant regional differences in employability prediction.
Provides a scalable, generalized solution for Indian student employability prediction.
Abstract
Educational Data Mining has become extremely popular among researchers in last decade. Prior effort in this area was only directed towards prediction of academic performance of a student. Very less number of researches are directed towards predicting employability of a student i.e. prediction of students performance in campus placements at an early stage of enrollment. Furthermore, existing researches on students employability prediction are not universal in approach and is either based upon only one type of course or University/Institute. Henceforth, is not scalable from one context to another. With the necessity of unification, data of professional technical courses namely Bachelor in Engineering/Technology and Masters in Computer Applications students have been collected from 17 states of India. To deal with such a data, a unified predictive model has been developed and applied on 17…
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Taxonomy
TopicsHigher Education and Employability · Online Learning and Analytics · Higher Education Learning Practices
