Modeling individualization of the learning process in the form of web conference using a hierarchical fuzzy expert system

The paper describes a model of educational process in the form of web conference. The problem of individualization of learning process for each student is solved by selecting the appropriate level of difficulty for each lesson. The proposed method of individualization is implemented using artificial intelligence methods. The paper describes a software system that implements distance learning in the form of web conference as well as management of the learning process with a built-in hierarchical fuzzy expert system. This system assigns the most recommended level of difficulty of the upcoming lessons to each student using available initial data about the student and his or her previous grades. The system automatically generates a schedule where students with similar levels of performance are grouped together. An example of calculations made by the expert system is provided.