A fuzzy logic model for diagnosis of university students' learning motivation

Abstract

This article presents a fuzzy logic model for assessing university students' academic motivation. This model allows for the interpretation of motivational states as complex, ambiguous, and partially formalizable socio-pedagogical phenomena. The methodological framework is based on the measurement of students' academic motivation, including the approaches of T.O. Gordeeva, O.A. Sychev, and E.N. Osin, who developed the "Academic Motivation Scale" questionnaire using a sample of university students. A system of input linguistic variables, a database of expert rules, and an integrated motivation indicator are proposed. Fuzzy logic is shown to provide more flexible assessments compared to rigid scale procedures.