Opportunities for Automated E-learning Path Generation in Adaptive E-learning Systems

Abstract

The need to automate learning paths is caused by an ever-growing need to personalise the learning process. Each student is an individual and has their learning preferences. In addition, it is required to consider changes in the knowledge and skills of the student during training. The article analyses the known methods of adaptation of e-learning and the learning path generation and presents the idea of developing an electronic course structure using a competency tree to ensure the adaptability of parts of electronic educational material in the student's independent work. Mapping the course taking into account and analysing the relationship between topics and test questions to assess student knowledge, reveals the potential for automating feedback, considering student performance. Adaptive solutions are needed to determine the sequence of choosing educational topics, exercises and test questions, taking into account their complexity and the degree of connection between different concepts in the course and depending on the change in the student's knowledge, which ensures effective and successful individual learning.