Abstract
This article examines the organisation of feedback in intelligent learning systems with a view to offering practical approaches to improving the educational process. Feedback is a crucial element in education, and in recent years its importance has increased significantly in light of the development of information technology and learning platforms. The paper presents an overview of the various methods and technologies employed to organise feedback in intelligent learning systems. Particular emphasis is placed on machine learning algorithms, adaptive learning systems and interactive communication tools that facilitate the creation of personalised educational environments for students. Based on the analysis of various educational practices and research, recommendations were formulated to optimize the feedback process in order to improve the quality of education and motivation of students.