Using Learning Style Theory in Remote Laboratory Applications
Date
2007-08-10
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
Studies have shown that, while learning different concepts,
people sometimes use different approaches. These different
approaches define individual learning styles. Understanding
learning style differences is thus an important step in
improving performance of the individuals and educational
institutions. In this study, a learning style assessment tool
was used to examine the relationship between students’
learning styles and their performance in engineering
education programs of Atilim University. 329 students (55
female) participated in this study. At their first year in the
program, students’ learning styles are measured by a
learning style assessment tool developed by David Kolb.
The results show that, at the Atilim University’s engineering
education program, most of the students are having
assimilator type of learning style (45%). Convergers (27%)
and divergers (22%) follow the assimilators. The number of
accommodators is very limited (5%). This information can
be used to create adaptive teaching environments in distance
education courses.
Description
Keywords
computer engineering