Factors Affecting of Actual Use Social Cloud Learning for Higher Education Students in the 21st Century

Abstract

This objective of the research study were: 1) study the mean of factors affecting of actual use social cloud learning and actual use social cloud learning.  2) study the relationship of the independent variable and ‘Actual Use Social Cloud Learning’, and 3) create an equation for predicting ‘Actual Use Social Cloud Learning’.      The multistage random sampling method was used to select 400 students who were using social cloud learning.   The research instrument for data collection was a questionnaire.  Data analysis were descriptive statistics, Pearson's product moment correlation coefficient and stepwise multiple regression analysis was using package software.  The research found that 1 ) Perceived Ease to Use (PEOU) had the highest average, followed by System Quality (SYS), Basis ICT skill (BAS), Information Quality (INF), Perceived Usefulness (PU), Actual Use Social Cloud Learning (ACU) and Service Quality (SER).  2) Five independent variables Basis ICT skill : BAS,  Information Quality : INF,  Service Quality : SER, System Quality : SYS,  Perceived Usefulness : PU and Perceived Ease to Use : PEOU) were related to ‘Actual Use Social Cloud Learning’ at a significance level of .05 except service quality (SER) and 3) Six independent variables can predict the variance of the Actual Use Social Cloud Learning (ACU) of 63.40 percent.  System Quality (SYS) was the best predictor variable and had standardized coefficients = .384.  Service Quality (SER) was the lowest predictor variable and had standardized coefficients = .078.