Effective E-Learning Practices by Machine Learning and Artificial Intelligence
Arshi Naim, Sahar Mohammed Alshawaf, Praveen Kumar Malik, Rajesh Singh
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.