Transformation of distance education under the influence of artificial intelligence in the digital era: trends, opportunities, challenges

the rapid development of machine learning technologies, big data, deep learning, neural networks, artificial intelligence and their active implementation in the educational process can significantly expand the capabilities of students, teachers and systems, which has already increased the level of higher education. At the same time, these innovations impose new requirements on all subjects of the educational process, put forward increased requirements for the level of their qualifications and professional competencies. The impact of artificial intelligence on higher education in general and distance higher education in particular is carried out in at least three areas: artificial intelligence and students (tools for supporting learning and new technologies for assessing student performance), artificial intelligence and teachers (new technologies and methods for supporting teaching activities in electronic educational environments), artificial intelligence and systems (technologies for the most effective management of educational institutions). This article analyzes the tools and technologies of artificial intelligence used in education, and describes the consequences and risks of their use for students and teachers. The scale of the ongoing transformations in modern distance education requires further understanding of the specified areas of influence to develop new strategies for using artificial intelligence technologies.

education, distance higher education, artificial intelligence, educational environments, neural networks, machine learning, big data