Artificial Intelligence in E-Learning Systems

Abstract

E-learning is conducted via electronic media, typically the internet, in order to transfer knowledge to students. Many problems are involved in content creation, assessment and grading, learner profiles, MOOC, personalize learning, etc. This article describes some technologies regarding artificial intelligence that can help teacher and student and can improve student engagement, learning outcomes, teaching abilities, assessment of the quality of learning materials, content creation. It also discusses background, knowledge, challenges, and critical factors necessary for the complex nature of present education. Future trends are described.

IoT Adoption Model for E-Learning in Higher Education Institutes: A Case Study in Saudi Arabia

“…The 2013-2019 Strategy Plan by the Ministry of Higher Education in Saudi Arabia outlines the need for the sector to foster, promote, and align high-quality teaching, training, and research [22][23][24][25]. The IoT stands poised to realize this vision and address pertinent challenges, creating a superior alternative to traditional elearning systems [26][27][28][29][30]. However, it is worth noting that developing nations such as Saudi Arabia have yet to fully embrace the IoT within their educational infrastructures [31][32][33][34], and technologies such as e-learning [35], m-learning [36], ubiquitous learning [37], and virtual teaching/learning methods [38] have not brought about the expected transformative impact in higher education.…”