USING ARTIFICIAL INTELLIGENCE TO IMPROVE THE EFFECTIVENESS OF MEDIA EDUCATION FOR FUTURE TEACHERS: STRATEGIES AND TOOLS

Abstract

The article addresses a problem of increasing the effectiveness of media education in teacher training under the conditions of rapid digitalization and the spread of generative AI tools that change students’ media practices and learning behavior. The author analyzes strategies and tools for integrating artificial intelligence into the media education of future teachers while maintaining pedagogical control, academic integrity and safety. The research methodology is based on competence-based and activity-based approaches, analysis of Russian and foreign research, as well as generalization of higher school practices. The main results of the study include the systematization of AI-supported learning strategies (diagnostic, developmental, design, and reflective) and tools related to media literacy results: fact checking, bias detection, multimodal message analysis, and ethical decision-making. It is concluded that AI increases the effectiveness of learning only when included in a transparent didactic scenario supported by critical evaluation and constant reflection of media ethics.