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...

Full description

Bibliographic Details
Main Authors: Tan, Sharon, Chuah, Francis, Ting, Hiram
Other Authors: Geok, Bee Teh
Format: Book Section
Language:English
Published: Springer 2017
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/27074/1/tan2017.pdf
_version_ 1825805585600217088
author Tan, Sharon
Chuah, Francis
Ting, Hiram
author2 Geok, Bee Teh
author_facet Geok, Bee Teh
Tan, Sharon
Chuah, Francis
Ting, Hiram
author_sort Tan, Sharon
collection UUM
description 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.
first_indexed 2024-07-04T06:34:42Z
format Book Section
id uum-27074
institution Universiti Utara Malaysia
language English
last_indexed 2024-07-04T06:34:42Z
publishDate 2017
publisher Springer
record_format eprints
spelling uum-270742020-06-07T02:25:52Z https://repo.uum.edu.my/id/eprint/27074/ Students’ satisfaction towards online learning systems: assessing its internal and external factors Tan, Sharon Chuah, Francis Ting, Hiram LB2300 Higher Education 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 Geok, Bee Teh Siew, Chee Choy 2017 Book Section PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/27074/1/tan2017.pdf Tan, Sharon and Chuah, Francis and Ting, Hiram (2017) Students’ satisfaction towards online learning systems: assessing its internal and external factors. In: Empowering 21st Century Learners Through Holistic and Enterprising Learning. Springer, Singapore, pp. 3-10. ISBN 978-981-10-4240-9 http://doi.org/10.1007/978-981-10-4241-6_1 doi:10.1007/978-981-10-4241-6_1 doi:10.1007/978-981-10-4241-6_1
spellingShingle LB2300 Higher Education
Tan, Sharon
Chuah, Francis
Ting, Hiram
Students’ satisfaction towards online learning systems: assessing its internal and external factors
title 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_short 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
topic LB2300 Higher Education
url https://repo.uum.edu.my/id/eprint/27074/1/tan2017.pdf
work_keys_str_mv AT tansharon studentssatisfactiontowardsonlinelearningsystemsassessingitsinternalandexternalfactors
AT chuahfrancis studentssatisfactiontowardsonlinelearningsystemsassessingitsinternalandexternalfactors
AT tinghiram studentssatisfactiontowardsonlinelearningsystemsassessingitsinternalandexternalfactors