Modeling key drivers of e-learning satisfaction among student teachers
This study explored the key drivers of student teachers' e-learning satisfaction. Three hundred and eighty-seven participants completed a survey questionnaire measuring their self-reported responses to six constructs (tutor quality, perceived usefulness, perceived ease of use, course delivery,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Sage Publications
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/29013/1/Modeling%20key%20drivers%20of%20e.pdf |
| _version_ | 1796971451986739200 |
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| author | Teo, Timothy Wong, Su Luan |
| author_facet | Teo, Timothy Wong, Su Luan |
| author_sort | Teo, Timothy |
| collection | UPM |
| description | This study explored the key drivers of student teachers' e-learning satisfaction. Three hundred and eighty-seven participants completed a survey questionnaire measuring their self-reported responses to six constructs (tutor quality, perceived usefulness, perceived ease of use, course delivery, facilitating conditions, and course satisfaction). Data analysis was performed using structural equation modeling. The results of this study showed that, apart from facilitating conditions, all constructs were significant predictors of e-learning satisfaction. However, facilitating conditions was found to be a significant mediator of perceived ease of use and satisfaction. Some implications for e-learning and teacher education were discussed. |
| first_indexed | 2024-03-06T08:13:14Z |
| format | Article |
| id | upm.eprints-29013 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:13:14Z |
| publishDate | 2013 |
| publisher | Sage Publications |
| record_format | dspace |
| spelling | upm.eprints-290132015-12-29T04:41:37Z http://psasir.upm.edu.my/id/eprint/29013/ Modeling key drivers of e-learning satisfaction among student teachers Teo, Timothy Wong, Su Luan This study explored the key drivers of student teachers' e-learning satisfaction. Three hundred and eighty-seven participants completed a survey questionnaire measuring their self-reported responses to six constructs (tutor quality, perceived usefulness, perceived ease of use, course delivery, facilitating conditions, and course satisfaction). Data analysis was performed using structural equation modeling. The results of this study showed that, apart from facilitating conditions, all constructs were significant predictors of e-learning satisfaction. However, facilitating conditions was found to be a significant mediator of perceived ease of use and satisfaction. Some implications for e-learning and teacher education were discussed. Sage Publications 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/29013/1/Modeling%20key%20drivers%20of%20e.pdf Teo, Timothy and Wong, Su Luan (2013) Modeling key drivers of e-learning satisfaction among student teachers. Journal of Educational Computing Research, 48 (1). pp. 71-95. ISSN 0735-6331; ESSN: 1541-4140 10.2190/EC.48.1.d |
| spellingShingle | Teo, Timothy Wong, Su Luan Modeling key drivers of e-learning satisfaction among student teachers |
| title | Modeling key drivers of e-learning satisfaction among student teachers |
| title_full | Modeling key drivers of e-learning satisfaction among student teachers |
| title_fullStr | Modeling key drivers of e-learning satisfaction among student teachers |
| title_full_unstemmed | Modeling key drivers of e-learning satisfaction among student teachers |
| title_short | Modeling key drivers of e-learning satisfaction among student teachers |
| title_sort | modeling key drivers of e learning satisfaction among student teachers |
| url | http://psasir.upm.edu.my/id/eprint/29013/1/Modeling%20key%20drivers%20of%20e.pdf |
| work_keys_str_mv | AT teotimothy modelingkeydriversofelearningsatisfactionamongstudentteachers AT wongsuluan modelingkeydriversofelearningsatisfactionamongstudentteachers |