FORMS, METHODS, AND TOOLS FOR IMPLEMENTING ARTIFICIAL INTELLIGENCE IN THE PRIMARY EDUCATION TEACHING–LEARNING PROCESS

The rapid development of artificial intelligence technologies has significantly influenced contemporary educational practices, particularly in primary education. This study examines the forms, methods, and tools for implementing artificial intelligence in the primary education teaching–learning process. The research analyzes instructional forms such as blended learning, adaptive learning environments, and interactive digital platforms supported by artificial intelligence. It also explores pedagogical methods, including personalized instruction, formative assessment, and data-driven feedback, aimed at enhancing students’ cognitive engagement and learning outcomes. In addition, the study identifies key artificial intelligence–based tools used in primary education, such as intelligent tutoring systems, learning analytics platforms, and educational chatbots. Special attention is given to the pedagogical role of teachers in guiding and managing the use of artificial intelligence technologies while ensuring age-appropriate, ethical, and psychologically safe learning environments. The findings highlight that the effective combination of forms, methods, and tools of artificial intelligence contributes to improving learning quality, fostering students’ digital literacy, and supporting learner-centered education in primary schools.