Artificial intelligence in education: Transforming the process of regional studies training for educators

Abstract

The article explores the possibilities of applying artificial intelligence in the regional studies training of teaching staff. It describes modern AI technologies that can be integrated into the educational programs of pedagogical universities, as well as their impact on improving the quality of education. The main focus is on the potential of AI in developing pedagogical and regional studies competencies, adapting curricula, and shaping individual learning paths. The article analyzes the experience of implementing AI in teacher education and its potential to optimize the learning process. It examines the advantages of using AI for creating personalized learning, increasing student motivation, and improving the quality of material retention. An overview of existing technologies and platforms is provided, along with proposed options for pedagogical experiments aimed at introducing interactive regional studies resources. The methodological approach includes both qualitative and quantitative research methods, including student surveys and pilot projects for integrating AI into the educational process. The results show a significant improvement in students' academic performance and engagement following the implementation of AI technologies. The conclusions emphasize the importance of integrating AI into the training of future geography teachers to enhance the quality of education.