Implementation Of The Fuzzy Logic-Based Gregorc Learning Style Model

Fuzzy logic-based Gregorc learning style model was developed to determine the learning styles of the students. In the Gregorc learning style model, there are four types of intelligence: concrete sequential, abstract sequential, concrete random and abstract random. In this study, a four-input and one-out Mamdani-type fuzzy logic algorithm is used to find out which intelligence type belongs to the student in Gregorc learning style. This system is modeled using the fuzzy logic method in Matlab computer software environment and C # programming language is used in the development phase of the model. The research was carried out with 151 students who were studying in İnci Üzmez Vocational and Technical Anatolian High School which is a part of the Ministry of National Education of Turgutlu District of Manisa Province in the fall semester of 2016-2017 academic year. Gregorc Learning style questionnaire was used to collect the information. The Kolmogorov-Smirnov test was used to determine whether the quantitative variables in the data obtained were suitable for normal distribution. The groups were compared with Mann Whitney U or Kruskal Wallis H test because they did not conform to normal distribution in terms of quantitative variables. Students' learning styles and ages, learning styles and departments, learning styles and grade levels, learning styles and differences between high school types were determined.