Proposing a Classification Methodology to Reduce Learning Style Combinations for Better Teaching and Learning

Abstract

Over the past 25 years, Learning Style Models have brought increasing attention to the fact that students have varying learning styles and students may enjoy learning only if teaching learning methodologies adapt to their learning style. There exists a lot of learning style models that determine the learning styles. However, addressing the needs of all styles of students is practically impossible and there is a need to find methodologies that identify major classification of students in a classroom. This research work proposes a classification methodology based on correlation prevailing between various dimensions of the learning models. This work finds the major classifications of learning styles among students and suggests suitable Teaching Learning Strategies. Felder Silverman Learning Style Model (FSLSM) is chosen for this research work and the reliability of this Learning Style Model is tested. A case study was conducted with 45 post graduate students using the proposed methodology and results are discussed.