METHODOLOGY FOR PERSONALIZING MEDIA EDUCATION BASED ON DIGITAL PEDAGOGY AND ARTIFICIAL INTELLIGENCE

Abstract

This article examines the methodology for personalizing media education based on the principles of digital pedagogy and the application of artificial intelligence. The study analyzes contemporary approaches to individualized learning within media education, emphasizing the role of AI-driven technologies in adapting educational content to learners’ cognitive styles, interests, and learning trajectories. Special attention is given to data-driven personalization, adaptive learning systems, and intelligent feedback mechanisms that enhance learners’ media literacy and critical thinking skills. The research highlights both the pedagogical potential and the ethical challenges associated with the integration of artificial intelligence into media education. The findings contribute to the development of effective methodological frameworks for personalized media education in digital learning environments.