IMPROVING THE SOCIO-PEDAGOGICAL ACTIVITIES OF FUTURE TEACHERS IN A MULTILINGUAL ENVIRONMENT USING INNOVATIVE METHODS USING ARTIFICIAL INTELLIGENCE

Abstract

The rapid expansion of multilingual educational environments has significantly increased the socio-pedagogical demands placed on future teachers. In such contexts, teachers are required not only to possess strong pedagogical and linguistic competencies but also to demonstrate advanced social, intercultural, and ethical skills that support inclusive and equitable learning. This article presents a scientific and analytical examination of innovative artificial intelligence–based methods aimed at improving the socio-pedagogical activities of future teachers in multilingual settings. The study synthesizes theoretical perspectives and contemporary research on socio-pedagogical competence, multilingual education, and artificial intelligence in teacher training. Particular attention is given to AI-driven tools such as intelligent simulations, learning analytics, and natural language processing systems, which enable personalized learning, reflective practice, and the modeling of complex classroom interactions. The analysis reveals that AI-based methods can significantly enhance future teachers’ ability to manage social interactions, promote intercultural understanding, and respond effectively to linguistic diversity. At the same time, the study highlights critical ethical and pedagogical considerations, including data privacy, algorithmic bias, and the necessity of maintaining human-centered educational values. The findings suggest that when integrated thoughtfully and responsibly, artificial intelligence can serve as a powerful complementary resource for strengthening socio-pedagogical training and modernizing teacher education in multilingual and multicultural contexts.