Imin Chen

The relevance of this study stems from the rapid development of modern technologies and their expanding application within the educational sphere. The digital transformation of education, the active implementation of artificial intelligence (AI) tools, and the growing demand for educators' digital competence underscore the necessity to investigate the readiness of preservice teachers to work with new technologies. However, contemporary teacher training programs often prioritize traditional methods, neglecting the need to integrate AI into the teaching process and develop relevant skills. This creates a risk of professional obsolescence among graduates and a decline in the quality of educational services in the context of technological revolution. Consequently, the aim of this article is to identify the level of readiness among students in pedagogical specialties to apply artificial intelligence in educational activities. Within the research framework, a literature analysis was conducted to identify AI modules in the curricula of teacher training universities. Additionally, an analysis of the content of these curricula was made, revealing the relationship between module design and students' AI readiness. Based on the research findings, shortcomings in the current content of AI-related courses within pedagogical universities were identified; risks associated with students potentially neglecting personalized learning and AI utilization were presented. The following solutions were proposed: reforming teacher education curricula; focusing on addressing ethical and privacy challenges arising from the use of this technology; strengthening student teachers' AI preparation through empirical research and scientific methodology, including experimental studies; integrating AI via digital pedagogy modules. The theoretical significance of the study lies in defining the direction for future research on the specifics of AI application in education. The practical significance of this research is driven by the imperative to prepare students in pedagogical universities for implementing AI in the educational process.