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

Authors : Kadriye Filiz Balbal, Naciye Mulayim, Ali Ozdemir, Aysegul Alaybeyoglu

Pages : 178-184

View : 182 | Download : 1020

Publication Date : 2015-09-01

Article Type : Research

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