首页> 外文期刊>Nature reviews Cancer >Exploratory Factor Analysis Toward Adoption Of Cloud Computing By Faculty Members In Saudi Arabian Universities For Teaching And Learning
【24h】

Exploratory Factor Analysis Toward Adoption Of Cloud Computing By Faculty Members In Saudi Arabian Universities For Teaching And Learning

机译:沙特阿拉伯大学教师教学与学习云计算云计算的探索性因子分析

获取原文
获取原文并翻译 | 示例
           

摘要

Cloud computing applications are learning platforms used in universities to enhance teaching and learning. For cloud computing applications to be taken up and used effectively, it is necessary to identify the factors influencing user acceptance of this new technology. The modified version of the 'Unified Theory of Acceptance and Use of Technology' (UTAUT2) model (Venkatesh et al., 2012) demonstrates great promise for understanding user acceptance of information systems. In this study, an enhanced UTAUT2 model is proposed, incorporating new variables such as awareness, perception of security, and bandwidth speed. The main goal of this study is to evaluate the predictive relevance of this proposed conceptual model to understand and describe academics' actual and intended adoption of cloud computing apps. This inquiry conducted a quantitative study via an online survey which targeted academics in Saudi universities. Data was collected from all state universities and involved 460 faculty members. Explanatory factors analysis has been used to examine this conceptual model. Findings indicate that the proposed model is a good fit for the Higher Education Context of Saudi Arabia. However, the variable pertaining to the freely-available apps failed to load in the proposed conceptual model.
机译:云计算应用是高校使用的学习平台,以提高教学和学习。对于云计算应用程序,有效地采用并有效地使用,有必要识别影响用户接受这项新技术的因素。 “统一接受和使用技术理论”(UTAUT2)模型(Venkatesh等,2012)的修改版本展示了理解用户接受信息系统的巨大希望。在这项研究中,提出了一种增强的UTAut2模型,包括新的变量,如意识,对安全性和带宽速度的感知。本研究的主要目标是评估这一提议的概念模型的预测相关性,以了解和描述学者的实际和预期采用云计算应用程序。该询问通过在沙特大学的在线调查进行了定量研究。从所有国家大学收集数据,并涉及460名教职员工。解释性因素分析已被用于检查此概念模型。调查结果表明,拟议的模型适合沙特阿拉伯的高等教育背景。但是,与可自由的应用有关的变量未能加载所提出的概念模型。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号