Artificial Intelligence: a tool for quality training of future specialists in socio-economic specialties

Abstract

The article analyzes the content and main tasks of research and innovation activities of socionomic specialists. The factors that contribute to the increasing efficiency of work in science and education through computer technologies and artificial intelligence are identified. The role of independent research and innovation activities for future specialists in socionomic disciplines in higher education is demonstrated, as is the role of computer technologies and artificial intelligence in the professional training of specialists in research and innovation. The development of research competence among future specialists in socionomic disciplines, grounded in foundational research skills, is essential in the educational process. Using the parametric criterion (t-normal distribution criterion), the results of statistical data processing obtained in this subsection, and the nonparametric criterion (Fisher’s angular transformation φ*), the effectiveness of the developed pedagogical conditions for forming the readiness of future specialists in socionomic specialties for research and innovation activities and the effectiveness of the proposed methods, forms, and means implemented within the framework of the innovative system for training future specialists in socionomic specialties for research and innovation activities using computer technologies and artificial intelligence in the process of professional training of specialists were confirmed.