International Journal of Mathematics Trends and Technology
Volume 66 | Issue 7 | Year 2020 | Article Id. IJMTT-V66I7P505 | DOI : https://doi.org/10.14445/22315373/IJMTT-V66I7P505
Fuzzy logic-based Gregorc learning style model was developed to determine the learning styles of the students. In the Gregorc learning style model, 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. 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.
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Ali Özdemir, Vildan Çınarlı Ergene, "Fuzzy Logic Based Gregorc Learning Style Model Inference and Statistical Evaluation," International Journal of Mathematics Trends and Technology (IJMTT), vol. 66, no. 7, pp. 33-39, 2020. Crossref, https://doi.org/10.14445/22315373/IJMTT-V66I7P505
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