INTERDISCIPLINARY ADAPTIVE LEARNING CONTENT AND TASKS BASED ON ARTIFICIAL INTELLIGENCE\

This study examines the use of artificial intelligence (AI) to design interdisciplinary adaptive learning content and tasks in primary education. AI-based adaptive tasks adjust to students’ knowledge, needs, and performance, integrating language, mathematics, natural sciences, and technology lessons with real ecological issues. Interactive exercises, including simulations, gamified and project-based tasks, enhance engagement, independent thinking, and environmental responsibility. This approach effectively fosters individual learning paths and promotes a sustainable environmental safety culture from an early age.