Fuzzy Logic Based Individualised Learning Model for Mathematics Learning Process

In this study, a fuzzy logic-based learning model was developed to provide an individualized approach to mathematics learning. The model is based on the evaluation of the scores obtained from mathematics self-efficacy scale, mathematics learning motivation scale and mathematics anxiety scale through a triangular membership function and the type of learning style. Students' self-efficacy, motivation to learn and anxiety levels were classified as low, medium and high, and learning strategies tailored to student characteristics were identified. The results of the study provide valuable information to improve the effectiveness of individualized learning approaches.