Students’ Satisfaction Towards Online Learning Systems: Assessing Its Internal and External Factors
This paper examines the internal factors (Internet self-efficacy and self-motivation) as well as an external factor (interaction) which affect university students’ level of satisfaction towards online learning systems. Field data were collected from 282 students from a public university. Data were a...
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2017
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my.unimas.ir.171952017-08-14T01:20:25Z http://ir.unimas.my/id/eprint/17195/ Students’ Satisfaction Towards Online Learning Systems: Assessing Its Internal and External Factors Tan, Sharon Chuah, Francis Hiram, Ting L Education (General) This paper examines the internal factors (Internet self-efficacy and self-motivation) as well as an external factor (interaction) which affect university students’ level of satisfaction towards online learning systems. Field data were collected from 282 students from a public university. Data were analysed using multiple regression analysis. The outcome of the analysis suggests that these factors are significant predictors to students’ level of satisfaction when using a university’s online learning system. Springer, Singapore 2017 E-Article PeerReviewed Tan, Sharon and Chuah, Francis and Hiram, Ting (2017) Students’ Satisfaction Towards Online Learning Systems: Assessing Its Internal and External Factors. Empowering 21st Century Learners Through Holistic and Enterprising Learning. pp. 3-10. ISSN Online ISBN 978-981-10-4241-6 https://link.springer.com/chapter/10.1007/978-981-10-4241-6_1 https://doi.org/10.1007/978-981-10-4241-6_1 |
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L Education (General) Tan, Sharon Chuah, Francis Hiram, Ting Students’ Satisfaction Towards Online Learning Systems: Assessing Its Internal and External Factors |
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This paper examines the internal factors (Internet self-efficacy and self-motivation) as well as an external factor (interaction) which affect university students’ level of satisfaction towards online learning systems. Field data were collected from 282 students from a public university. Data were analysed using multiple regression analysis. The outcome of the analysis suggests that these factors are significant predictors to students’ level of satisfaction when using a university’s online learning system. |
format |
E-Article |
author |
Tan, Sharon Chuah, Francis Hiram, Ting |
author_facet |
Tan, Sharon Chuah, Francis Hiram, Ting |
author_sort |
Tan, Sharon |
title |
Students’ Satisfaction Towards Online Learning Systems: Assessing Its Internal and External Factors |
title_short |
Students’ Satisfaction Towards Online Learning Systems: Assessing Its Internal and External Factors |
title_full |
Students’ Satisfaction Towards Online Learning Systems: Assessing Its Internal and External Factors |
title_fullStr |
Students’ Satisfaction Towards Online Learning Systems: Assessing Its Internal and External Factors |
title_full_unstemmed |
Students’ Satisfaction Towards Online Learning Systems: Assessing Its Internal and External Factors |
title_sort |
students’ satisfaction towards online learning systems: assessing its internal and external factors |
publisher |
Springer, Singapore |
publishDate |
2017 |
url |
http://ir.unimas.my/id/eprint/17195/ https://link.springer.com/chapter/10.1007/978-981-10-4241-6_1 https://doi.org/10.1007/978-981-10-4241-6_1 |
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1644512558558740480 |
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13.211869 |