Analysis of relationship between extracurricular activities and academic performance by computational intelligence

In the society that we live today, the requirements for a higher education graduate to step into the professional world have become quite complex. The basic knowledge can be achieved by following the curriculum, but the skills, practice and experience can only be gained through active participation in extra-curricular activities. Such activities assists the student in taking responsibility of their future and making right decisions. These activities make one stand out of the herd and be recognized as everyone is imparted the same level of knowledge relating to his/her particular field. The industry requires people who are adept at a variety of things and are not limited to a particular chore only. Data for this research was collected from an aptitude test and the academic curriculum of students in a particular semester. Computational intelligence was employed for determination and analysis of the relationship between the chosen parameters (aptitude, GPA etc.) and data collected from students participating in extra-curricular activities conducted in the same semester. We have observed that Computational Intelligence has provided a higher degree of accuracy in our recent research works. This paper proposes the effects of extra-curricular activities in the overall growth of a student.