@article{article_1061483, title={Material Recommendation System for Distance Learning Based on Fuzzy Logic}, journal={Avrupa Bilim ve Teknoloji Dergisi}, pages={311–317}, year={2022}, DOI={10.31590/ejosat.1061483}, author={Esin Özseven, Beyza and Cagman, Naim}, keywords={Uzaktan öğretim, hazır bulunuşluk, materyal öneri, öğrenme stili, bulanık mantık}, abstract={The course material is the most important support material for the student throughout the learning process. Especially in distance learning, course materials gain even more importance. Materials to be presented in distance learning systems should be determined according to the student’s readiness level and learning style. The main goal is how to best realize learning. In this study, fuzzy logic-based material recommendation system is modeled for distance learning systems. In the proposed model, in addition to readiness and learning style, material difficulty level and material type were also used. After the fuzzy rule base created, it was determined whether each material was suitable for the student}, number={33}, publisher={Osman SAĞDIÇ}