Application of educational data mining to create intelligent multi-agent personalised learning system

Abstract

In the paper, methodology to personalise learning according to the needs of individual students using educational data mining (EDM) to create intelligent multi-agent learning system is presented. First, systematic review on application of EDM to create intelligent learning systems is performed in Clarivate Analytics Web of Science database. Systematic review had shown that, currently, there is an increasing interest in EDM. After that, methods to personalise learning applying intelligent technologies to create optimised learning units for individual students are presented in the paper. Created students' profiles and personalised learning units should be further corrected applying EDM methods and tools. The model of intelligent multi-agent learning system based on application of intelligent technologies such as ontologies, recommender system, intelligent software agents and EDM is also presented in the paper. The principal success factors of the proposed methodology are pedagogically sound vocabularies of learning components, expert evaluation of the learning components in terms of its suitability to particular students, as well as application of ontologies, recommender system, intelligent software agents and EDM.