THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE MODERN EDUCATIONAL PROCESS

Abstract

Neural networks represent a pivotal aspect in the realm of digital education and research, serving as a potent instrument for automating procedures, scrutinizing data, and enhancing the quality of educational and research endeavors. In this paper, we delve into some core attributes of neural networks. One of the most remarkable advantages of neural networks lies in their capacity to offer personalized learning experiences. This becomes evident in applications such as identifying patterns in genomic data or forecasting climate change. Artificial intelligence-powered virtual assistants and tutors provide tailored guidance, addressing queries, elucidating intricate concepts, or facilitating interactive learning sessions for students. Furthermore, neural networks can aid students with administrative and computational tasks, such as providing information on course schedules or evaluating assignments. This is particularly beneficial for busy instructors who may not have time to provide personalized attention to each individual student. Chatbots based on neural networks represent one example of how this can be achieved.