Student Intelligence Analysis: A Data Mining Approach

Authors

  • Ms. Kanika Thakur, Dr. Kanhaiya Lal

Abstract

The aim of this paper is to analyze the relationship between different Intelligent Quotient tests as suggested by different researchers and psychologists in this domain and to determine the relationship between them. Apart from this, the author also  investigate the co-relationship between the academic qualification of parents and intelligent quotient of a student. To carry out this study, the author developed an application through which they conducted test for 50 students  of the  Netaji Subhash Institue of Technology, Patna and   132 tudents for other universities, using a structured questionnaire used for five different  types of Intelligent test. Association rule mining and clustering algorithm is used to establish and find the relationship between different types of test. The result reveals that, there is a positive correlation between student academic performance and student intelligence quotient.

Published

2020-02-29

Issue

Section

Articles