Application of intelligent agents to control the process of blended learning in an educational environment
Elena E. Kotova · 2016
Our study implements a model that explains the relationship between the students learning process productivity taking into account individual differences and didactic learning content resources. The process of data collection and analytics focuses on the micro-level. Individual learning trajectory prediction is observed at the micro-level. Blended learning has several advantages. However, its integration in the educational process is a complex process. Implementation requires new technologies. Process monitoring is implemented in a software environment by means of intelligent agents.