An individualized model for teaching Turkish based on artificial intelligence and methodological recommendations

Abstract

This article explores an individualized model for teaching Turkish based on artificial intelligence technologies. The study analyzes the pedagogical potential of adaptive learning systems, chatbots, automated speech analysis tools, and virtual communicative simulations. The findings indicate that AI-based learning environments significantly contribute to the development of students’ linguistic, communicative, and intercultural competences. Furthermore, the use of adaptive digital technologies supports personalized learning trajectories, enhances motivation, and promotes autonomous learning.