Design And Evaluation Of Integrated Cloud Based E-Learning Framework


Wang, Lillian Yee Kiaw (2019) Design And Evaluation Of Integrated Cloud Based E-Learning Framework. PhD thesis, Multimedia University.

Full text not available from this repository.


"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. "

Item Type: Thesis (PhD)
Additional Information: Call No.: QA76.585 .W36 2019
Uncontrolled Keywords: Cloud computing
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 21 Sep 2020 23:57
Last Modified: 22 Sep 2020 17:08


Downloads per month over past year

View ItemEdit (login required)