Cyberpedagogy: Digital And Pedagogical Diagnostics Using Artificial Intelligence Technologies

This study is devoted to examining the process of developing students’ cyberpedagogical competencies within the context of digital transformation in the education system. Within the scope of the research, the potential of artificial intelligence (AI) and software-based didactic tools to implement pedagogical diagnostics and to design individualized learning pathways was analyzed. Research methods included analysis, synthesis, comparison, empirical observation, and the generalization of existing scientific studies. The findings indicate that AI technologies enable real-time assessment of students’ knowledge and skills, facilitate the individualization of the learning process, and optimize pedagogical decision-making. Moreover, the study identifies the human factor—namely, teachers’ pedagogical expertise, empathy, and methodological approach—as a crucial determinant of AI effectiveness. The results provide educators and instructional designers with scientific and practical guidelines for creating interactive, personalized digital learning environments that promote the development of cyberpedagogical competencies.

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