The Effect of Cloud Computing on Predicting Academic Performance Among Students of Educational Technology Department at the College of Basic Education in Kuwait

Abstract
 The aim of this study was to examine the effect of cloud computing on predicting academic performance in Kuwait. Participants were respondents from College of Basic Education, department of Educational Technology. There were 130 participants (all were girls) from the first to fourth academic year. They aged 18-22 years (M= 20.6, SD= 5.76). This study utilized quantitative techniques and tools such as questionnaires for data collection. Pearson correlation and moderated hierarchical multiple regression analyses were employed to test study hypotheses. Descriptive data and inter-correlations indicated cloud computing adoption correlates positively with academic performance (r = 0.43). Findings also indicated that CC yielded a coefficient of multiple regression (R) of 0.327 and a multiple correlation square of 0.322. This shows that 32.2% of the total variance in AP of those who participated in the study is accounted for by CC. It was found that the following beta weight which represented the relative contribution of CC to the prediction of AP was observed. CC (b = 0.572, t = 7.892; P < 0.01).
Key words: cloud computing; academic performance; Kuwaiti students; College of Basic Education, PAAET.