A Rough Set Based Approach to Compute Impact of Non Academic Parameters on Academic Performance

Abstract

Our academic performance can differ due various to non-academic factors namely, self-motivation and mind stability where peace of mind plays a pivotal role; self-confidence after any kind of setback, environment and financial pressure, family support, and capability of an individual to make a combat. These non-academic factors may lead to stress affecting our academic performance. In this paper, we aim to assess the mentioned non-academic factors affect our academic performance. The paper is modeled on survey performed on college students and depending upon their responses related to these non-academic factors. We have carried out the work through statistical analysis and machine learning algorithms. Density bases Clustering algorithm is being used to cluster similar kind of performance and analyze how the factors differ from each other. Moreover, we also presented a comparative study between academic parameters such as attendance, interest in subject and travelling time in comparison to such non-academic performances. A rough set is also being created comprising the parameters which gives the best result among the students. The entire hypotheses are being tested on the various non-academic factors and how they impact academic performances and statistical calculations. Conclusion is drawn to check if non-academic factors really impact academic performances?