Integration of artificial intelligence into teacher training: challenges and prospects of digital transformation in education

the article explores the role of artificial intelligence in modernizing higher pedagogical education. The relevance of implementing AI technologies is examined in the context of digital transformation of society and the need for educational institutions to adapt to new requirements. Using the example of Naberezhnye Chelny State Pedagogical University, practical aspects of applying intelligent systems in the training of future teachers are analyzed. The main functions of AI in the educational process are highlighted: administrative support, modeling of pedagogical situations, and facilitation of students' research activities. Special attention is paid to personalized educational trajectories and adaptive learning systems. Key challenges of AI implementation are discussed: personal data security, ethical issues of algorithmic fairness, and financial barriers. The article substantiates the necessity of a comprehensive approach to integrating artificial intelligence into pedagogical education, including regulatory framework, targeted funding, and modernization of curricula to prepare teachers for working in a technologically rich educational environment.

artificial intelligence, teacher education, digital literacy, personalization of learning, adaptive educational technologies, teacher training, digital transformation