Design And Evaluation Of Integrated Cloud Based E-Learning Framework

"The motivation for conducting this study is to investigate the potential of Cloud e-learning to address the high-cost and high-complexity challenges of conventional learning methods for the upgraded learning processes in higher education. The overall direction of this research is driven toward...

Full description

Saved in:
Bibliographic Details
Main Author: Wang, Lillian Yee Kiaw
Format: Thesis
Published: 2019
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-mmu-ep.7756
record_format uketd_dc
spelling my-mmu-ep.77562020-09-22T17:08:50Z Design And Evaluation Of Integrated Cloud Based E-Learning Framework 2019-09 Wang, Lillian Yee Kiaw QA75.5-76.95 Electronic computers. Computer science "The motivation for conducting this study is to investigate the potential of Cloud e-learning to address the high-cost and high-complexity challenges of conventional learning methods for the upgraded learning processes in higher education. The overall direction of this research is driven towards the students' acceptance of Cloud e-learning and how the actual usage of Cloud e-learning module affects students' perceptions and academic performance. A Cloud e-learning framework is designed and developed to promote optimised resource utilisation in the e-learning processes in higher education. An integrated technology acceptance model is then developed to predict the acceptance and usage of Cloud e-learning among students in higher education. A mixed method and non-probability convenient sampling were used to collect data. CFA and SEM were used to analyse the findings of this study. Pretest-posttest results and students’ academic performance were then analysed to examine the effects from the actual usage of Cloud e-learning module. Results of this study show that content quality, pedagogical quality, perceived usefulness, social influence, attainment value and utility value are important in predicting the intention to use Cloud e-learning in higher education. The findings also reveal that the change of students’ perceptions is time variant, indicating students’ mixed perceptions on the intention to use Cloud e-learning module. Students’ performance analysis evidently reveals that the use of Cloud e-learning improved students’ learning performance in subjects that involve understanding of concepts. " 2019-09 Thesis http://shdl.mmu.edu.my/7756/ http://library.mmu.edu.my/library2/diglib/mmuetd/ phd doctoral Multimedia University Faculty of Information Science & Technology
institution Multimedia University
collection MMU Institutional Repository
topic QA75.5-76.95 Electronic computers
Computer science
spellingShingle QA75.5-76.95 Electronic computers
Computer science
Wang, Lillian Yee Kiaw
Design And Evaluation Of Integrated Cloud Based E-Learning Framework
description "The motivation for conducting this study is to investigate the potential of Cloud e-learning to address the high-cost and high-complexity challenges of conventional learning methods for the upgraded learning processes in higher education. The overall direction of this research is driven towards the students' acceptance of Cloud e-learning and how the actual usage of Cloud e-learning module affects students' perceptions and academic performance. A Cloud e-learning framework is designed and developed to promote optimised resource utilisation in the e-learning processes in higher education. An integrated technology acceptance model is then developed to predict the acceptance and usage of Cloud e-learning among students in higher education. A mixed method and non-probability convenient sampling were used to collect data. CFA and SEM were used to analyse the findings of this study. Pretest-posttest results and students’ academic performance were then analysed to examine the effects from the actual usage of Cloud e-learning module. Results of this study show that content quality, pedagogical quality, perceived usefulness, social influence, attainment value and utility value are important in predicting the intention to use Cloud e-learning in higher education. The findings also reveal that the change of students’ perceptions is time variant, indicating students’ mixed perceptions on the intention to use Cloud e-learning module. Students’ performance analysis evidently reveals that the use of Cloud e-learning improved students’ learning performance in subjects that involve understanding of concepts. "
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Wang, Lillian Yee Kiaw
author_facet Wang, Lillian Yee Kiaw
author_sort Wang, Lillian Yee Kiaw
title Design And Evaluation Of Integrated Cloud Based E-Learning Framework
title_short Design And Evaluation Of Integrated Cloud Based E-Learning Framework
title_full Design And Evaluation Of Integrated Cloud Based E-Learning Framework
title_fullStr Design And Evaluation Of Integrated Cloud Based E-Learning Framework
title_full_unstemmed Design And Evaluation Of Integrated Cloud Based E-Learning Framework
title_sort design and evaluation of integrated cloud based e-learning framework
granting_institution Multimedia University
granting_department Faculty of Information Science & Technology
publishDate 2019
_version_ 1747829675028119552