Artificial intelligence in the information and methodological support of students

Abstract

The article discusses the conceptual foundations and practical aspects of the integration of artificial intelligence into the system of information and methodological support of the educational process in higher education. Based on a comprehensive analysis of current research and empirical data, key areas of transformation of educational interaction with students under the influence of intelligent technologies have been identified. It has been established that the personalization of educational trajectories, automation of routine pedagogical operations and cognitive support of educational activities form a triad of priority vectors for the introduction of artificial intelligence. The research uses a set of methods: content analysis of scientific publications, expert interviewing, pedagogical experiment and statistical analysis. The empirical base consisted of data from a survey of 412 students and 87 university professors, as well as the results of a formative experiment with control and experimental groups. A correlation was found between the use of intelligent support systems and an increase in academic performance (r=0.68 with p<0.01), as well as an increase in the level of information and methodological competence of students by 32,7%. The results obtained demonstrate that the effectiveness of AI technology integration reaches its maximum when a balance is maintained between technological innovation and pedagogical expediency. The study substantiates the need to develop ethical standards and regulatory and methodological support for the use of AI in the educational environment, as well as to train teachers for competent management of educational processes in the context of digital transformation.