Using neural network decision support systems in the formation of pedagogical communication skills

The article presents the results of a study of the potential of using neural network decision support systems (DSS) to develop pedagogical communication skills among research teachers. Based on the analysis of scientific literature, the key principles and methodological approaches to the development and implementation of neural network DSS in the context of modern educational paradigms are identified. A conceptual model of neural network DSS functioning is proposed, taking into account the specifics of teachers’ communicative competencies and the multimodal nature of the data. An empirical study involving 120 teachers from various subject areas demonstrated the effectiveness of using neural network DSS for analyzing and improving pedagogical communication skills. The developed system of assessment metrics, including quantitative (student engagement level, reaction time) and qualitative (expert assessment) indicators, allowed us to validate the results of using neural network DSS in real educational conditions. The article discusses ethical and socio-cultural aspects of responsible implementation of neural network technologies in the practice of developing the communicative competencies of research teachers. The prospects of integrating neural network DSS with adaptive learning systems and virtual reality technologies to create complex solutions in the field of improving pedagogical communication skills are outlined.