An Analysis of Learning Path Generation Model for E-Learning to Help Non Experts

Abstract

The method of teaching students using digital materials on online platforms is known as elearning. The content for e-learning will be broken up into a lot of pieces that are very challenging to arrange in chronological sequence. It will be quite challenging to arrange the dispersed E-Learning materials in a way that delivers significant contents. A variety of learning route recommendation models have been developed in the past to guarantee that the contents are meaningful. This research review's primary objective is to examine the different training route suggestion methods. This analysis work gives a thorough rundown of how various learning path recommendation models actually work. This work also gives a comparison analysis of the strengths and shortcomings of the various approaches for creating learning paths. In order to identify the best approach and produce the best learning path suggestion conclusion, this analysis work also gives a numerical comparison of the study works. Finding a more accurate methodology am