Abstract
In the era of technological progress, online learning is one of the priority directions in education. The use of intelligent algorithms in online education allows students not only to receive distance learning, but also to adapt it to their individual characteristics, that is, to create a unique learning trajectory for each student. In this article, intelligent algorithms of adaptive learning are considered, which guide/adapt the learning trajectory taking into account the individual characteristics of students.In the work, the author presents an original methodology for designing the architecture of an adaptive learning system as a result of the integ-ration of intellectual algorithms ACO and BKT. The proposed archi-tecture allows you to create a personalized learning trajectory that adapts learning depending on the individual characteristics of each stu-dent. The architecture describes the main components of adaptive lear-ning: the student model, the domain model and the adaptation model. As a result of the study, a comparison and evaluation of the effectiveness of existing and proposed intelligent algorithms is carried out.