A LEARNING STYLE INFERENCE SYSTEM BASED ON FUZZY LOGIC TECHNIQUE

Year 2016, Volume: 4 , 590 - 597, 01.09.2016

Muhammet Uysal Kadriye Filiz Balbal Naciye Mulayım Ali Özdemir Aysegul Alaybeyoglu

Abstract

There
are many reasons why education is very important in daily life and business.
Such that learning will continue every time parallel to the rapid developments
and changes in innovation and the technology. In this study, fuzzy logic based
dunn learning style inference system is developed to measure student’s success
in learning. Dunn learning style identifies five important factors on which
student learning style differs; namely environmental, emotional, sociological,
physiological, and psychological. In this study, a software system is developed and an interface which includes some
questions in relation with Dunn learning style is designed.  Answers of the students are rated and given
as an input to the proposed fuzzy logic engine. The proposed software
system inferences Education Style, Learning Status and the Level of Learning
Style of the student. By this way, the instructor will be able to match
his teaching style with student's learning style which contributes to student’s
success in education field.

Keywords

Dunn learning style, fuzzy logic, inference system

References

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