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The Relationship between Online Academic Credit Bank Learners’ Satisfaction and Demographic Variables
Background/Objectives: The purpose of this study is to estimate the causal relationship between online academic credit bank learners’ satisfaction and the demographic variables to understand the credit bank learners and based on this, to provide basic information on establishment of marketing strategies and suggestions for policy. Methods/Statistical Analysis: Ordered Probit model was used for the analysis of satisfaction. The satisfaction items were classified into four categories (quality of educators, curriculum, cost of education, and overall satisfaction). Findings: The status of being married was determined to have positive influence with 1% significance each for quality of educators, curriculum, cost of education, and overall satisfaction. Income was in a significant relationship of influence in regards to satisfaction associated with curriculum, cost of education. Improvements/Applications: In terms of overall satisfaction, educational background and age variables were determined to have a statistically significant relationship of influence.
Learner, Online Academic Credit Bank System, Ordered Probit Model, Satisfaction.
- Korean Educational Institute. Date accessed: 2014: Available from: http://edubank.kedi.re.kr.Data.
- Holmberg B. The sphere of distance-education theory revisited. (Eric Document Reproduction Service Bo. ED386578). 1995.
- Biner PM, Dean RS, Mellinger AE. Factors underlying distance learner satisfaction with televised college-level courses. The American Journal of Distance Education. 1994; 8(1):60–71.
- Chao CN. The University of Wisconsin-Madision: Adult learners on campus: An examination of higher education environments. Ph.D. dissertation. 1999; p. 25.
- Lee GY. The development of evaluation tools for the programs of university attached lifelong education institutions. Journal of Lifelong Education. 2004; 10(1):43–76.
- Hwang CS. A study of satisfaction factors of adult degree learners: credit bank system learners. Continued Lifelong Education HRD Journal. 2005; 1(1):95–112.
- Moon YM. A study on the factors affecting distance learning’ satisfaction with the lectures. Korean Journal of Clinical Social Work. 2010; 7(1):19–35.
- Mckelvey R, Zavoina W. A Statistical Model for Analysis of Ordinal Level Dependent Variables. Journal of Mathematical Sociology. 1975; 4(5):103–20.
- Storchmann K. English Weather & Rhine Wine Quality: An Ordered Probit Model. Journal of Wine Research. 2006; 16(2):105–19.
- Greene WH. Upper Saddle River, Prentice-Hall: Econometric Analysis. 2000.
- Lee DY, Shon JG, Kim Y. Design and implementation of OSMD based learning management system for mobile learning. Indian Journal of Science and Techonology, 2015; 8(1):154–60.
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