Deriving Association between Intelligent Quotient and Debugging Skills

Abstract

Intelligence is defined as an innate ability of an
individual to acquire new knowledge. It can be measured by
Intelligent Quotient (IQ). In the educational filed, IQ tests are
extensively used as indicative measures to find the academic strength
of an individual. Debugging is a process of finding the bugs (error)
and reducing them in the computer programming. The Program
comprehension and debugging skill are useful to predict the student‟s
performance in the programming subjects. The process of extracting
valuable knowledge from the raw data is called data mining. In the
field of data mining, Association Rule Mining is one of the most
popular approaches for discovering the relationship between the
items in a dataset. The research work is carried out to derive the
relationship between the Intelligent Quotient and Debugging Skills
from a student‟s dataset using Association rule mining technique.