THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN LABORATORY CLASSES FOR THE FORMATION OF ICT COMPETENCE OF FUTURE TEACHERS

Abstract

The article examines methodological approaches and pedagogical effects of integrating artificial intelligence technologies into laboratory classes in the discipline "Information and Communication Technologies". The relevance of the study is determined by the need to modernize the content of education in the context of digitalization and to form a comprehensive ICT competence among future teachers. The paper presents a “pre-post” experimental design, which included a survey of students from eight specialties, a one-month course of laboratory classes (four sessions) with division into control and experimental groups, as well as subsequent repeated surveying. To verify the reliability of the questionnaire, McDonald’s Omega coefficient was calculated, showing a high level of internal consistency of the scales. The obtained results were analyzed using analysis of variance, which made it possible to identify statistically significant differences both between students and between survey questions. The developed model of AI integration is based on the principles of augmentation, automation, and development, providing conditions for enhancing students’ motivation, developing critical thinking, reflective and metacognitive skills. The practical value of the work lies in creating a methodological basis for introducing AI into the educational process, ensuring a balance between the automation of learning operations and the development of students’ independent activity.