Approach to the development of the rule base for the expert selection system of adaptive learning strategies

Abstract

This paper proposes an approach to the construction of the rule base for the selection of the optimal trajectory of training specialists of enterprises. Rules are formed on the basis of data mining Open Education Institute MSUPA, which contain information on the learning outcomes students using distance learning technologies for 10 years. Based on this analysis identified as the most successful and negative learning paths that can be used by other students in determining their learning strategies.