Key Words: Personalized learning; intelligent systems; collaborative approach.
Abstract. The problems of searching for a rational solution in the design and operation of modern intelligent systems for personalized engineering training are considered. Emerging favorable opportunities and implementation risks are analyzed in three main aspects – pedagogical strategies, technological efficiency and system coordination. The existing research and practical experience is insufficient to make informed decisions, especially in the conditions of extremely rapid development of technologies based on artificial intelligence, which are of key importance for personalized learning systems. Given the great complexity of personalized learning systems, only a collaborative approach of teams including researchers, educators, and artificial intelligence specialists would be successful in finding balanced rational solutions.