Improving tools and techniques of teaching graduate engineering courses based on students' Learning Styles and Multiple Intelligences

Abstract

Our study proposes to improve the tools and techniques of teaching graduate engineering courses using students' Learning Styles and Multiple Intelligences (MI). Thirty volunteers answered commercially available Learning Style and MI tests in our Electrical Engineering department. Learning styles are grouped as visual, auditory, and kinesthetic (VAK) and can determined by the VAK learning style test. Learning styles are reflected in different academic strengths, weaknesses, and skills. Studies show that the differences between learning styles will affect both a person's choice of profession and their success in this profession, both in education and in the world of business. People who work at something that fits their learning style have a better chance of becoming successful in it. In this study, tools and techniques are presented for the teaching of graduate courses in engineering education. © American Society for Engineering Education, 2009.