Abstract: Intelligence Quotient (IQ) has been the principal predictor of academic achievement in schooling. IQ is usually determined by using questions. Humans employed to administer questions sometimes tend to be bias. This paper presents a novel way of determining the IQ of a child through the administration of questions by employing rule-based systems complemented with multiple regression technique. Questions are divided into four sections, namely, word comprehension, logical reasoning, mathematics skills and picture analysis. The timing of each question is based on child’s age and the number of characters in the question through multiple regression analysis whilst the determination of the IQ is done by the expert system. The system is robust and free of bias. It ensures that self-motivation and persistent qualities are achieved.
Keywords: Children, Expert System, Fuzzy logic, IQ, Intelligence Quotient, Rule-based, Regression Model.
Title: A Rule-Based System for Determining Intelligence Quotient of Children
Author: Samuel King Opoku
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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