质量因素对电子学习系统有效性影响的实证研究:一个学术人员的视角

Pub Date : 2022-01-17 DOI:10.46300/9109.2022.16.7
A. Alenezi
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引用次数: 0

摘要

新冠肺炎已导致世界各地的学校关闭。根据全球世界论坛的数据,全球已有超过12亿学生辍学。因此,随着电子学习的广泛兴起,教育发生了巨大变化,通过技术解决方案和平台远程教学。尽管许多大学已经成功转型,但由于这一快速发展,用户对电子学习系统的期望仍然很低。因此,需要从质量的角度对电子学习系统进行调查,以确保其有效性。本研究的目的是从学术人员的角度实证研究质量因素在影响电子学习系统有效性中的作用。采用了一种基于网络的调查表的定量方法。通过简单的随机抽样技术,共获得129份有效问卷。研究结果表明,所有被检查的因素,即系统质量(SQ)、信息质量(IQ)、服务质量(SEQ)、技术支持质量(TSQ)、课程设计质量(CDQ)和学习者质量(LQ),都显著影响电子学习系统的有效性。所提出的因素解释了一个显著的百分比,占电子学习有效性总方差的90.8%。此外,使用逐步分析的多元回归结果表明,前三个影响因素分别是服务质量、学习者质量和系统质量。此外,研究结果表明,态度在一定程度上介导了服务质量与电子学习系统有效性之间的关系。对未来的研究提出了一些启示和建议。
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An Empirical Study into the Role of Quality Factors in Influencing the Effectiveness of the E-learning System: An Academic Staff Perspective
COVID-19 has caused the closure of schools around the world. According to the Global World Forum, more than 1.2 billion students have dropped out of classrooms worldwide. As a result, education has transformed dramatically with the extensive rise in e-learning where teaching is delivered remotely through technological solutions and platforms. Even though successful transitions among many universities have taken place, the users’ expectations of e-learning systems are still poor due to this rapid movement. Therefore, e-learning systems need to be investigated from a perspective of quality in order to ensure its effectiveness. The aim of this study is to empirically investigate the role of quality factors in influencing the effectiveness of e-learning systems from the perspective of academic staff. A quantitative approach was adopted using a web-based questionnaire. A total of 129 valid questionnaires were obtained through simple random sampling techniques. The results of the study indicated that all examined factors, namely, System Quality (SQ), Information Quality (IQ), Service Quality (SEQ), Technical Support Quality (TSQ), Course Design Quality (CDQ), and Learner Quality (LQ), influenced E-learning System Effectiveness significantly. The proposed factors explained a significant percentage with 90.8 percent of the total variance of E-learning Effectiveness. Furthermore, the results of multiple regressions using stepwise analysis indicated that the top three contributing factors were Service Quality, Learner Quality, and System Quality respectively. Moreover, the results revealed that Attitude partially mediated the relationship between Service Quality and E-learning System Effectiveness. Several implications and recommendations were proposed for future research.
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