In the era of rapid digital transformation, media education must evolve to address the challenges and opportunities presented by an information-rich, technology-driven society. The integration of digital pedagogy and artificial intelligence (AI) has the potential to fundamentally personalize media education, enhancing individual learner engagement, motivation, and academic success. This article explores the theoretical foundations and practical strategies for personalizing media education through digital pedagogy, augmented by AI-driven approaches. The study draws upon an extensive review of contemporary literature, analysis of AI-powered educational technologies, and observation of emerging best practices in digital learning environments. It is argued that a methodological framework centered on personalization requires a deep synthesis of pedagogical theory, technological design, and ethical considerations. The findings highlight the transformative role of adaptive learning algorithms, data analytics, and intelligent tutoring systems in tailoring content, feedback, and pacing to individual needs.

Media education, personalization, digital pedagogy

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