Improving Arabic Content Delivery on Cloud Computing Platforms for Jordanian E-learning Environments

Abstract

The primary objective of this study is to optimize the utilization of cloud computing platforms to examine the obstacles and potential opportunities related to the dissemination of Arabic educational resources in online learning settings within the context of Jordan. This research endeavour embraces a meticulous quantitative approach, employing surveys as the primary instrument for data collection. Additionally, face-to-face interviews are conducted to further enrich the dataset. This study employed a diverse array of statistical analysis techniques to thoroughly investigate the multifaceted challenges inherent in cloud computing and their subsequent implications. This comprehensive investigation utilized a range of statistical techniques, including descriptive statistics, t-tests, and analysis of variance (ANOVA), to analyze the data. This research sheds light on the paramount importance of adeptly tackling obstacles about localization, script support, and linguistic peculiarities in the propagation of Arabic content. This study further emphasizes the considerable potential of cloud computing in augmenting the efficiency and user satisfaction of online education.