Predicting the acceptance of cloud-based virtual learning environment: The roles of Self Determination and Channel Expansion Theory
Document Type
Article
Publication Date
1-1-2016
Abstract
The emergence of the cloud computing technology has further enhanced the capabilities of the cloud-based virtual learning environment (VLE) compared to the grid computing based VLE as teaching resources can be accessed, saved, retrieved and shared on the cloud any time any where without any limitation. Unlike existing VLE literature that examines extrinsic motivation (e.g. TAM; UTAUT) from the perspective of the learners in the context of the conventional grid-computing VLE; this study examine the intrinsic motivation from the teachers’ perspective in the context of the cloud-based VLE. So far, the influences of Self Determination Theory (i.e. relatedness, competence, autonomy) and Channel Expansion Theory (i.e. media richness) have been over-looked. In this study, the roles of SDT, CET, VLE content design and interactivity together with the trust-in-website, attitude toward knowledge sharing and school support are being examined. A sample of 1064 respondents was gathered using simple random sampling across the country and analyzed with PLS-SEM. The research model is able to predict intention to use with 65.96% variance explained. SDT, CET, VLE content design, Attitude toward knowledge sharing, trust-in-website, school support and education significantly effects intention to use VLE. This study provides theoretical and practical implications while contributing to the VLE literature.
Keywords
Cloud-based VLE, Self Determination Theory, Channel Expansion Theory, VLE content design, VLE interactivity
Divisions
Faculty_of_Business_and_Accountancy
Funders
University of Malaya under research grant number PG037-2014B with the project entitled “Understanding the virtual learning environment”
Publication Title
Telematics and Informatics
Volume
33
Issue
4
Publisher
Elsevier