FUZZY LOGIC BASED GREGORC LEARNING SYSTEM
| Autor: | CINARLI, Vildan, MULAYIM, Naciye, OZDEMIR, Ali, ALAYBEYOGLU, Aysegul |
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| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | Volume: 2, Issue: 185-191 The Eurasia Proceedings of Educational and Social Sciences |
| ISSN: | 2587-1730 |
| Popis: | In this study, fuzzy logic based Gregorc learning system is proposed tocharacterize learning styles of the students who have various own learning skills, intelligence levels and learning styles. Gregorclearning system helps student tonotice their different ways of perceivingand ordering information. Such that student can learn by reasoning logicallyand intuitively; by seeing and hearing; by reflecting and acting or byanalyzing and visualizing. The goal of this system is to categorize studentslearning style and to make instructor be able to match his teaching style withstudent's learning style. By this way, it is aimed to increase students successin education considerably. |
| Databáze: | OpenAIRE |
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