PREDICTIVE MODEL FOR THE APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE PROFESSIONAL TRAINING OF INTERNATIONAL JOURNALISTS: IMPLEMENTATION EXPERIENCE AND PROSPECTS

Abstract

The article presents the development and experimental testing of a prognostic model for applying artificial intelligence technologies in the professional training of international journalists within the Education 5.0 framework. The model comprises six interrelated blocks: target, content, technological, organizational-pedagogical, ethical, and assessment. Research methods included a pedagogical experiment at MGIMO University involving 20 journalism students and a survey of 167 respondents. The results confirm effectiveness of integrating neural network tools into the educational process: the experimental group demonstrated quality improvements in analytical work ranging from 18 to 31% across key indicators. A scenario analysis of AI integration prospects is performed and practical recommendations formulated. The authors conclude that the predictive model of the use of artificial intelligence technologies creates conditions for the synthesis of technological solutions and humanistic approaches in the training of international journalists, allowing them to build individual trajectories taking into account the multilingual specifics of the profession.