An Empirical Study of Students' Intention to Use Cloud E-Learning in Higher Education

Lillian-Yee-Kiaw Wang, Sook-Ling Lew, Siong-Hoe Lau

Abstract


Technological progress has resulted in constant change of social structures and led to continuous evolution of attitudes and values. Thus, a timely and compre-hensive integrated technology acceptance framework was established, and factors predicting intention to use Cloud e-learning were empirically identified. A total of 11 determinants from varying sources of IS success, learning object criteria, technology acceptance, motivations, social cognitive, and expectancy values were unified and analysed in an integrated manner. The target population for this study was a group of IT students in a private university in southern region Malaysia. The results obtained from this study observed that content quality, pedagogical quality, perceived usefulness, social influence, attainment value, and utility value significantly predict intention to use Cloud e-learning. By integrating IS success, learning object criteria, technology acceptance, motivations, social cognitive, and expectancy values into a single framework, new insights on Cloud e-learning ac-ceptance in higher education can be attained.

Keywords


Intention to use; Cloud e-learning; structural equation modelling; empirical study

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Copyright (c) 2020 Lillian Yee Kiaw Wang, Sook Ling Lew, Siong Hoe Lau


International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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