The Predictors of E-learning System Satisfaction:A Contingency Approach
博士 === 國立臺灣科技大學 === 資訊管理系 === 97 === An e-learning system has been extensively used for training programs in corporations and for teaching courses in universities, and therefore finding predictors of e-learning system satisfaction has become an important issue in current e-learning studies. By revie...
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ndltd-TW-097NTUS53960052015-10-13T14:49:22Z http://ndltd.ncl.edu.tw/handle/64593100916994571680 The Predictors of E-learning System Satisfaction:A Contingency Approach 數位學習網站滿意度情境因素及影響因素之研究 Ming-Jen Chiou 邱敏鑑 博士 國立臺灣科技大學 資訊管理系 97 An e-learning system has been extensively used for training programs in corporations and for teaching courses in universities, and therefore finding predictors of e-learning system satisfaction has become an important issue in current e-learning studies. By reviewing previous e-learning studies, this dissertation located four dominant predictors of e-learning system satisfaction and various contingent variables based on contingency theory. This dissertation investigated the impact of these contingent variables on the relationship between four predictors and students’ satisfaction with e-learning. Five hundred and twenty-two university students from ten intact classes engaging in online instruction were asked to answer questionnaires about their learning styles, perceptions of the quality of the proposed predictors, and satisfaction with e-learning systems. The results of ANOVA and SEM analyses showed that two contingent variables, gender and job status, significantly influenced the perceptions of predictors and students’ satisfaction with the e-learning system. This dissertation also found a statistically significant moderating effect of two contingent variables, student job status and learning styles, on the relationship between predictors and e-learning system satisfaction. The results suggest that a serious consideration of contingent variables is crucial for improving e-learning system satisfaction. The implications of these results for the management of e-learning systems are discussed and future research directions are recommended. Hsi-Peng Lu 盧希鵬 2009 學位論文 ; thesis 76 en_US |
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博士 === 國立臺灣科技大學 === 資訊管理系 === 97 === An e-learning system has been extensively used for training programs in corporations and for teaching courses in universities, and therefore finding predictors of e-learning system satisfaction has become an important issue in current e-learning studies. By reviewing previous e-learning studies, this dissertation located four dominant predictors of e-learning system satisfaction and various contingent variables based on contingency theory. This dissertation investigated the impact of these contingent variables on the relationship between four predictors and students’ satisfaction with e-learning. Five hundred and twenty-two university students from ten intact classes engaging in online instruction were asked to answer questionnaires about their learning styles, perceptions of the quality of the proposed predictors, and satisfaction with e-learning systems. The results of ANOVA and SEM analyses showed that two contingent variables, gender and job status, significantly influenced the perceptions of predictors and students’ satisfaction with the e-learning system. This dissertation also found a statistically significant moderating effect of two contingent variables, student job status and learning styles, on the relationship between predictors and e-learning system satisfaction. The results suggest that a serious consideration of contingent variables is crucial for improving e-learning system satisfaction. The implications of these results for the management of e-learning systems are discussed and future research directions are recommended.
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author2 |
Hsi-Peng Lu |
author_facet |
Hsi-Peng Lu Ming-Jen Chiou 邱敏鑑 |
author |
Ming-Jen Chiou 邱敏鑑 |
spellingShingle |
Ming-Jen Chiou 邱敏鑑 The Predictors of E-learning System Satisfaction:A Contingency Approach |
author_sort |
Ming-Jen Chiou |
title |
The Predictors of E-learning System Satisfaction:A Contingency Approach |
title_short |
The Predictors of E-learning System Satisfaction:A Contingency Approach |
title_full |
The Predictors of E-learning System Satisfaction:A Contingency Approach |
title_fullStr |
The Predictors of E-learning System Satisfaction:A Contingency Approach |
title_full_unstemmed |
The Predictors of E-learning System Satisfaction:A Contingency Approach |
title_sort |
predictors of e-learning system satisfaction:a contingency approach |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/64593100916994571680 |
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