The purpose of this work is to provide a general analysis of the methodological and conceptual-functional features of integrated expert systems (IES) and web-IES, which form the basis of intelligent tutoring technology for supporting the educational process at the National Research Nuclear University MEPhI. The results of new research related to the construction of an adaptive ontological environment (AOE) for intelligent tutoring based on the use of tutoring IES and web IES developed on the basis of a problem-oriented methodology and the intelligent software environment tools of the AT-TECHNOLOGY workbench are presented. A hybrid approach to the development of AOE in the form of an intelligent control system (ICS) for the functioning of tutoring IES and web-IES is proposed, with the ICS architecture based on the principles of situational control of complex software and organizational systems. Models and methods for implementing a situational approach to solving management problems based on the interaction of basic inference tools and generalized ontology of knowledge representation about the direction/specialty of tutoring are described. The architecture of the ICS and issues of its development based on assembly programming technology are considered.