A User-Intelligent Adaptive Learning Model for Learning Management System Using Data Mining And Artificial Intelligence

Abstract

Entire world is revolving towards digital space as a result of the Internet and other emerging web technologies are helping the society to reach the universe. ICT and e-learning are growing radically fast and have captured a major role in higher educational systems. To develop the coast-to-coast purposes, institutions are changing the teaching style from chalk and talk to Learning Management System (LMS), called e-learning systems. Impact of e-learning introduces various delivery methods for teachers and different platforms to learn for learners. Teaching through LMS is most challenging because the difference in the learning styles and the nature of the course. Materials used for delivering the course are mostly static for all types of learners. Students are learning from the LMS tools, but not most effectively. To overcome this issues, the author(s) are recommending a new user intelligent adaptive learning model to be used in LMS. This allows the model to identify the learners learning style and endorses the appropriate learning materials for the learners. This method of delivering will be effective and efficient for different LMS learners.