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Online support service quality, online learning acceptance, and student satisfaction

This paper examines potential differences between Korean and American students in terms of their perception levels regarding online education support service quality, online learning acceptance, and satisfaction. Eight hundred and seventy-two samples, which were collected from students in online cla...

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Published in:The Internet and higher education 2010-12, Vol.13 (4), p.277-283
Main Author: Lee, Jung-Wan
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Language:English
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description This paper examines potential differences between Korean and American students in terms of their perception levels regarding online education support service quality, online learning acceptance, and satisfaction. Eight hundred and seventy-two samples, which were collected from students in online classes in the United States and Korea, were analyzed using factor analysis, structural equation model techniques, independent sample t-test, and logistic regression. The following results were obtained from this analysis: 1) There were significant differences between the perceptions of Korean and US students with regard to online education support service quality. In this context, Korean students held a significantly higher perception of online support service quality. 2) Perception of online support service quality was a significant predictor of online learning acceptance and satisfaction for both Korean and American students. It appears that a majority of the students in the two countries, irrespective of the differences in their perceptions of online support service quality, believe that the acceptance of online classes would benefit them.
doi_str_mv 10.1016/j.iheduc.2010.08.002
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identifier ISSN: 1096-7516
ispartof The Internet and higher education, 2010-12, Vol.13 (4), p.277-283
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1873-5525
language eng
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source Applied Social Sciences Index & Abstracts (ASSIA); ScienceDirect Freedom Collection; ERIC
subjects Academic Support Services
Acceptance
College Students
Comparative Analysis
Cultural difference
Cultural Differences
Distance learning
Electronic Learning
Factor Analysis
Foreign Countries
Information communication technology
Instructional Effectiveness
Internet
Korea
Learning
Online Courses
Online education
Predictor Variables
Satisfaction
Service quality
Structural Equation Models
Student Attitudes
Student satisfaction
Support services
T Test
Technical Support
United States
Web Based Instruction
Work based learning
title Online support service quality, online learning acceptance, and student satisfaction
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