THE IMPORTANCE OF ARTIFICIAL INTELLIGENCE IN PRIMARY EDUCATION: LITERATURE REVIEW

Abstract

The study covers the theoretical and methodological foundations of developing the professional and pedagogical training of future primary education teachers based on artificial intelligence (AI) technologies through the analysis of scientific sources. In the process of research, international and natio- nal scientific works published between 2020 and 2025 are comparatively studied, the didactic capabilities of AI technologies in the educational process, transformations in pedagogical activity, and the structural structure of digital competencies are clarified. Based on the systematization of sources, research areas are compared and an integrated model of future teacher training is developed. This model is interpreted based on the interaction of didactic-projective, technological-practical, analytical-reflexive, ethical-regulatory and collaborative-creative components. Also, problems such as algorithmic bias, data security and digital inequality associated with the introduction of artificial intelligence into the educational process are analyzed in the scientific literature, and their pedagogical solutions are discussed. As a result of the analysis, it was established that the systematic use of artificial intelligence tools, in addition to expanding the possibilities of adapting education, is an important factor in the formation of critical thinking, pedagogical design and responsible digital activity skills in future teachers.