Open AccessExploratory Examination of Relationships between Learning Styles and Learner Satisfaction in Different Course Delivery Types
Author(s) -
Stephen Cox,
Kuan Chen Tsai
Publication year - 2013
Publication title -
international journal of social science research
Language(s) - English
Resource type - Journals
ISSN - 2327-5510
DOI - 10.5296/ijssr.v1i1.4100
Subject(s) - variance (accounting) , learning styles , dimension (graph theory) , psychology , variety (cybernetics) , mathematics education , sample (material) , regression analysis , computer science , mathematics , artificial intelligence , machine learning , chemistry , accounting , chromatography , pure mathematics , business
Many scholars have underscored the importance of recognizing the variety of students’ learning preferences and then adapt appropriate teaching strategies to fit this variance in order to create an optimal learning situation for most students in classes. The purpose of this study was to identify which of the learning preferences would be related to learner satisfaction. Two major findings were found. First, the learning preferences of this sample showed that most of students were balanced learners in the Active-Reflective and the Sequential-Global dimensions. Second, the regression analysis indicated that the Sensing-Intuitive dimension was the strongest predictor of students’ learning satisfaction.