Title: Fuzzy logic model to predict academic achievement of school students using test anxiety and intelligence quotient

Authors: Raj Rani; Anjali Shokeen

Addresses: University School of Education, Guru Gobind Singh Indraprastha University, Dwarka, New Delhi, India ' University School of Education, Guru Gobind Singh Indraprastha University, Dwarka, New Delhi, India

Abstract: The desire to perform well academically creates anxiety among students. Anxiety up to a certain level can be beneficial, whereas beyond a particular level, it adversely affects a student's academic achievement. Furthermore, the impact of anxiety may be different for students with different intelligence quotients. Different descriptive statistics have been applied to analyse the relationship. However, this method usually gives outcomes without revealing underlying patterns or causes, making it difficult to develop a universal model. This paper presents a fuzzy logic-based model to evaluate the academic achievement of eighth grade students. A fuzzy logic approach offers a more realistic means to model the relationship between test anxiety level, intelligence quotient and academic achievement. A fuzzy logic model comprising 25 rules is designed using the MATLAB software for impact assessment.

Keywords: academic achievement; fuzzy logic model; intelligence quotient; school students; test anxiety.

DOI: 10.1504/IJSMARTTL.2025.150940

International Journal of Smart Technology and Learning, 2025 Vol.4 No.4, pp.366 - 378

Received: 02 Dec 2024
Accepted: 20 Mar 2025
Published online: 05 Jan 2026 *

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