A LEARNING STYLE INFERENCY SYSTEM BASED ON FUZZY LOGIC TECHNIQUE AND HONEY&MUMFORD’S LEARNING MODEL

Year 2015, Volume: 2 , 178 - 184, 01.09.2015

Kadriye Filiz Balbal Naciye Mulayım Ali Ozdemır Aysegul Alaybeyoglu

Abstract

In this study, fuzzy logic based Honey and Mumford’s learning system is
proposed to characterize learning styles of the students who have various own learning skills, intelligence levels and learning styles. We
used  Honey and Mumford’s model which is based on Kolb's learning style
and which identifies four distinct learning styles namely; Activist, Theorist, Pragmatist and Reflector in accordance with the Kolb’model.
In Kolb’s learning system, effective learning process can be achieved by
incorporating four models namely; Concrete
Experience, Abstract
Conceptualization, Reflective Observation and Active Experimentation. We
designed a software system which includes some of the questions in Learning
Style Questionnaire which is prepared by Honey & Mumford. We rated
the answers of the students and give them as an input to the proposed fuzzy
logic engine which has four input models namely Activist, Theorist,
Pragmatist and Reflector; and an output namely
EducationStyle.  The proposed system
inferences Education Style, Learning Status and Level of Learning Style of the
student. By this way, instructor will be able to match his teaching
style with student's learning style.

Keywords

Kolb’s learning style, Honey & Mumford learning style, fuzzy logic

References

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