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ERIC Number: EJ1008076
Record Type: Journal
Publication Date: 2013-Mar
Pages: 24
Abstractor: As Provided
Reference Count: 65
ISBN: N/A
ISSN: ISSN-1492-3831
A Predictive Study of Student Satisfaction in Online Education Programs
Kuo, Yu-Chun; Walker, Andrew E.; Belland, Brian R.; Schroder, Kerstin E. E.
International Review of Research in Open and Distance Learning, v14 n1 p16-39 Mar 2013
This paper is intended to investigate the degree to which interaction and other predictors contribute to student satisfaction in online learning settings. This was a preliminary study towards a dissertation work which involved the establishment of interaction and satisfaction scales through a content validity survey. Regression analysis was performed to determine the contribution of predictor variables to student satisfaction. The effects of student background variables on predictors were explored. The results showed that learner-instructor interaction, learner-content interaction, and Internet self-efficacy were good predictors of student satisfaction while interactions among students and self-regulated learning did not contribute to student satisfaction. Learner-content interaction explained the largest unique variance in student satisfaction. Additionally, gender, class level, and time spent online per week seemed to have influence on learner-learner interaction, Internet self-efficacy, and self-regulation. (Contains 8 tables.)
Athabasca University. 1200, 10011 - 109 Street, Edmonton, AB T5J 3S8, Canada. Tel: 780-421-2536; Fax: 780-497-3416; e-mail: irrodl@athabascau.ca; Web site: http://www.irrodl.org
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A