Effective E-Learning Practices by Machine Learning and Artificial Intelligence

Arshi Naim, Sahar Mohammed Alshawaf, Praveen Kumar Malik, Rajesh Singh
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Abstract

The world is moving at a fast pace having the application of Machine Learning (ML) and Artificial Intelligence (AI) in all the major disciplines and the educational sector is also not untouched by its impact especially in an online learning environment. E-Learning (EL) is always under the monitoring of its effectiveness and suitability for learning and teaching (L&T) due to its nature. This paper attempts to elaborate on the benefits of ML and AI in E-Learning (EL) in general and explain how King Khalid University (KKU) EL Deanship is making the best of ML and AI in its practices to make EL effective and an appropriate platform of L&T. This research is descriptive in nature; results are based on qualitative analysis done through studying the applications of ML and AI in KKU’s EL but the same modus operandi can be implemented by any institution in its EL platform to learn the effectiveness of their EL. KKU is using Learning Management Services (LMS) for providing online learning practices and Blackboard (BB) for sharing online learning resources. This research applies the ML and AI in LMS and BB services in KKU and measured the effectiveness of EL. The results show constructive impact of ML and AI in EL in KKU and effective working of EL in imparting the L&T.
机器学习和人工智能的有效电子学习实践
随着机器学习(ML)和人工智能(AI)在所有主要学科中的应用,世界正在快速发展,教育部门也没有受到其影响,特别是在在线学习环境中。由于电子学习的性质,它的有效性和对学与教的适宜性一直受到监控。本文试图阐述机器学习和人工智能在电子学习(EL)中的好处,并解释哈立德国王大学(KKU) EL院长如何在其实践中充分利用机器学习和人工智能,使电子学习有效并成为适当的L&T平台。这项研究本质上是描述性的;结果是基于通过研究ML和AI在KKU的EL中的应用而进行的定性分析,但任何机构都可以在其EL平台中实施相同的操作方式,以了解其EL的有效性。KKU使用学习管理服务(LMS)提供在线学习实践,使用Blackboard (BB)共享在线学习资源。本研究将ML和AI应用于LMS和KKU的BB服务中,并测量了EL的有效性。结果表明,ML和AI对KKU的学习能力有建设性的影响,学习能力对L&T的传授是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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