Artificial Intelligence and Infographics as Intellectual-Visual Tools in Digital Pedagogy

This study examines the pedagogical potential of artificial intelligence and infographics within the framework of digital pedagogy. The research aims to analyze how the integration of intelligent analytical tools and visual information structures can enhance learning efficiency and cognitive engagement. The study applies analytical, comparative, and empirical methods, including the analysis of student perception data (n=86). The results indicate that visual-cognitive synthesis through infographics significantly improves comprehension of complex concepts, while AI-based adaptive learning systems increase learner motivation and support individualized learning trajectories. At the same time, the study identifies several methodological and technological barriers, including algorithmic dependence on data quality, insufficient digital competencies among educators, and ethical risks related to data governance. The article proposes a phased model for integrating artificial intelligence and infographics into educational practice. The findings contribute to the development of a methodological framework for the sustainable implementation of digital pedagogy.

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