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FUZZY LOGIC BASED GREGORC LEARNING SYSTEM

Year 2015, Volume: 2 , 185 - 191, 01.09.2015

Abstract

In this study, fuzzy logic based Gregorc learning system is proposed to
characterize learning styles of the students who have
various own learning skills, intelligence levels and learning styles. Gregorc
learning system helps student to notice their different ways of perceiving
and ordering information. Such that student can learn by reasoning logically
and intuitively; by seeing and hearing; by reflecting and acting or by
analyzing and visualizing. The goal of this system is to categorize students
learning style and to make instructor be able to match his teaching style with
student's learning style. By this way, it is aimed to increase students success
in education considerably. 

References

  • Kazu, İ.Y. , Özdemir, O. (2009). Öğrencilerin Bireysel Özelliklerinin Yapay Zeka ile Belirlenmesi (Bulanık Mantık Örneği). Akademik Bilişim, ss: 457-466. Bloom, B.S.(1979). İnsan Nitelikleri ve Okulda Öğrenme (Çeviren: Özçelik, D.A.). Milli Eğitim Basımevi. Ankara. Kazu İ., Kazu H., Özdemir O., (2005). The Effects of Mastery Learning Model on the Success of the Students Who Attended “Usage of Basic Information Technologies” Course. Journal of Educational Technology & Society. 8 (4): 233-243. Sever, S. (1997). Türkçe Öğretimi ve Tam Öğrenme. Anı Yayıncılık. Ankara. Kolb, D.A. (1999). The Kolb Learning Style İnventory. Hay Resources Direct, 6-25. Mc Carthy, B. (1982). Improving Staff Development Through CBAM and 4MAT. Educational Leadership, 40(1): 20-25. Higgison, C. (2001). Çevirimiçi Öğretim e-kitabı, Online Tutoring e-book, http://otis.scotcit.ac.uk/onlinebook/ pp. 2-02--2-10. (Erişim Tarihi: 25.05.2005) Akman, N. H. Muğan, C.Ş. (2004). “Muhasebe Eğitiminde Öğretim Ve Öğrenim Yöntemleri İle Ders Başarısı Arasındaki İlişki: Pilot Çalışma,” XXIII. Türkiye Muhasebe Eğitimi Sempozyumu, Mayıs 2004, Antalya, http://web.cortland.edu/andersmd/learning/Gregorc.htm Novák, V., Perfilieva, I. and Močkoř, J. (1999) Mathematical principles of fuzzy logic Dodrecht: Kluwer Academic. ISBN 0-7923-8595-0 Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338–353.
Year 2015, Volume: 2 , 185 - 191, 01.09.2015

Abstract

References

  • Kazu, İ.Y. , Özdemir, O. (2009). Öğrencilerin Bireysel Özelliklerinin Yapay Zeka ile Belirlenmesi (Bulanık Mantık Örneği). Akademik Bilişim, ss: 457-466. Bloom, B.S.(1979). İnsan Nitelikleri ve Okulda Öğrenme (Çeviren: Özçelik, D.A.). Milli Eğitim Basımevi. Ankara. Kazu İ., Kazu H., Özdemir O., (2005). The Effects of Mastery Learning Model on the Success of the Students Who Attended “Usage of Basic Information Technologies” Course. Journal of Educational Technology & Society. 8 (4): 233-243. Sever, S. (1997). Türkçe Öğretimi ve Tam Öğrenme. Anı Yayıncılık. Ankara. Kolb, D.A. (1999). The Kolb Learning Style İnventory. Hay Resources Direct, 6-25. Mc Carthy, B. (1982). Improving Staff Development Through CBAM and 4MAT. Educational Leadership, 40(1): 20-25. Higgison, C. (2001). Çevirimiçi Öğretim e-kitabı, Online Tutoring e-book, http://otis.scotcit.ac.uk/onlinebook/ pp. 2-02--2-10. (Erişim Tarihi: 25.05.2005) Akman, N. H. Muğan, C.Ş. (2004). “Muhasebe Eğitiminde Öğretim Ve Öğrenim Yöntemleri İle Ders Başarısı Arasındaki İlişki: Pilot Çalışma,” XXIII. Türkiye Muhasebe Eğitimi Sempozyumu, Mayıs 2004, Antalya, http://web.cortland.edu/andersmd/learning/Gregorc.htm Novák, V., Perfilieva, I. and Močkoř, J. (1999) Mathematical principles of fuzzy logic Dodrecht: Kluwer Academic. ISBN 0-7923-8595-0 Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338–353.
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Details

Journal Section Articles
Authors

Vildan Cınarlı This is me

Naciye Mulayım This is me

Ali Ozdemır This is me

Aysegul Alaybeyoglu This is me

Publication Date September 1, 2015
Published in Issue Year 2015 Volume: 2

Cite

APA Cınarlı, V., Mulayım, N., Ozdemır, A., Alaybeyoglu, A. (2015). FUZZY LOGIC BASED GREGORC LEARNING SYSTEM. The Eurasia Proceedings of Educational and Social Sciences, 2, 185-191.