EFFECTIVE METHODOLOGICAL APPROACHES FOR DEVELOPING INTERDISCIPLINARY INTEGRATION IN PRIMARY EDUCATION THROUGH ARTIFICIAL INTELLIGENCE

Abstract

This article examines effective methodological approaches to developing interdisciplinary integration in primary education through artificial intelligence. The study focuses on the pedagogical potential of artificial intelligence as an innovative educational tool for establishing meaningful connections among different subject areas and creating an integrated learning environment. Particular attention is paid to the development of methodological approaches that enable teachers to design interdisciplinary learning tasks, adapt educational content to pupils’ individual learning needs, provide personalized feedback, and organize interactive and practice-oriented learning activities. The article analyzes the possibilities of integrating artificial intelligence into interdisciplinary instruction to enhance pupils’ cognitive activity, critical and creative thinking, problem-solving skills, digital competence, and ability to apply knowledge in real-life contexts.