USING NEURAL NETWORKS TO BUILD AN ADAPTIVE EDUCATIONAL SYSTEM FOR HIGHER EDUCATION

Abstract

In recent years, artificial intelligence and neural networks have become important tools in various spheres of our lives, including education. The spread of artificial intelligence and neural networks in education has opened new opportunities, such as: automation of the process of evaluation and analysis of students' work; individual adaptation of educational material and programs for each student; creation of virtual assistants and tutors for training and consulting students. The advantages of using neural networks in education include the ability to process and analyze huge amounts of data, which opens new opportunities for scientific research; the creation of automatic speech and image recognition systems, which reduces the load on teachers and allows them to focus on more creative tasks. The use of artificial intelligence and neural networks for educational purposes helps to improve the quality of education due to feedback and individual approach to each student, optimizes the working time of teachers and reduces the probability of making mistakes