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Ozdemir, Ali; Alaybeyoglu, Aysegul; Mulayim, Naciye; Uysal, Muhammed – International Journal of Research in Education and Science, 2018
In this study, an intelligent system which determines learning style of the students is developed to increase success in effective and easy learning. The importance of the proposed software system is to determine convenience degree of the student's learning style. Personal information form and Dunn Learning Style Preference Survey are used to…
Descriptors: Cognitive Style, Computer Software, Measures (Individuals), Statistical Analysis