Adaptive learning system based on hierarchical finite state machines

The article delves into adaptive learning systems based on Bloom’s taxonomy. The adaptive learning model created by a finite state machine was extended to the case of a hierarchical finite state machine according to the didactic ergonomics concept. To formalize this extension, we proposed the definitions of an adaptive learning problem and a learning path using the extended adaptive learning model. The findings of this research present the software implementation of the adaptive learning problem to optimize educational content with respect to a number of topics.