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

Neelam Rawat, Aayush Rastogi, K. Jaiswal, Abhishek Nigam
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引用次数: 3

Abstract

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.
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利用计算智能分析课外活动与学习成绩的关系
在我们今天生活的社会中,高等教育毕业生进入职场的要求已经变得相当复杂。基础知识可以通过遵循课程来获得,但是技能、实践和经验只能通过积极参加课外活动来获得。这些活动有助于学生对自己的未来负责并做出正确的决定。这些活动使一个人脱颖而出,并被认可,因为每个人都被赋予了与他/她的特定领域相关的相同水平的知识。这个行业需要擅长各种事情的人,而不仅仅局限于某一项工作。本研究的数据收集自某学期学生的能力倾向测试和学术课程。使用计算智能来确定和分析所选参数(天资、GPA等)与同一学期参加课外活动的学生的数据之间的关系。我们观察到,在我们最近的研究工作中,计算智能提供了更高程度的准确性。本文提出了课外活动在学生全面成长中的作用。
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