ARTIFICIAL INTELLIGENCE IN EDUCATION: HISTORY AND DEVELOPMENT TRENDS

Abstract

The article presents an analysis of the development of artificial intelligence in the field of education, from early programs to modern deep learning technologies and large language models. It examines the key stages of artificial intelligence evolution and its role in personalizing the learning process, automating assignment assessment, and analyzing student performance. Various educational systems, such as PLATO, ALEKS, and Knewton, are described along with their strengths and limitations. Special attention is given to ethical issues, including data privacy, potential algorithmic bias, and the changing role of educators. The problem of uncontrolled artificial intelligence use by students is highlighted. A survey of mathematics teachers revealed their level of knowledge regarding artificial intelligence technologies and the extent of their need for specialized instructional materials. The conclusion underscores the importance of further research and of preparing teachers for the successful and responsible application of artificial intelligence in education.