Determining the factors that affect the uses of Mobile Cloud Learning (MCL) platform Blackboard- a modification of the UTAUT model

Abstract

The aim of this study was to unveil the factors that affect the use of Mobile Cloud Learning (MCL) platform Blackboard. Considering the nature of MCL, the Unified Theory of Acceptance and Use of Technology (UTAUT) model was applied and modified with two additional variables, i.e. mobility and self-management learning to understand the use behaviour of the users. A survey was conducted through a structured questionnaire to collect quantitative data for analysis. Structural equation modelling (SEM) was used to analyse the data and test the hypotheses of this study. In outcome, performance expectancy, effort expectancy and self-management learning are found as significant factors. Blackboard platform provider and users’ can be benefited through the outcome of this study by looking at the significant factors and understanding the use behaviour of the users.