THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES AS A FACTOR IN DEVELOPING THE INTRINSIC MOTIVATION OF FUTURE VOCATIONAL EDUCATION SPECIALISTS

Abstract

This article explores the potential of artificial intelligence technologies as a factor in fostering intrinsic motivation among future vocational education specialists in the context of the digital transformation of education. The relevance of this topic stems from the need to enhance the effectiveness of vocational training for students, develop their cognitive engagement, foster their capacity for self-development, and prepare them to utilize innovative digital tools in their future teaching careers. In the context of the active digitalization of education, research into the potential of artificial intelligence technologies to stimulate the intrinsic motivation of students and increase their interest in vocational training takes on particular significance.
The aim of this study is to provide a theoretical justification and analysis of the potential for using artificial intelligence technologies as a factor in fostering intrinsic motivation among future vocational education specialists. The methodological basis of the study consists of general scientific methods of analysis, synthesis, comparison, and generalization of scientific approaches to the concepts of “intrinsic motivation” and “artificial intelligence technologies”, as well as a pedagogical analysis of the experience of using intelligent digital tools in the training of higher education students.
The scientific novelty of this study lies in substantiating the role of artificial intelligence technologies as a pedagogical tool for developing the intrinsic motivation of future vocational education specialists and in summarizing practical experience regarding their use in the educational process. The integration of intelligent services into the professional training of students in the educational and professional program “Vocational Education. Digital Technologies” at Vasyl Stefanyk Carpathian National University is analyzed.
The study found that the use of artificial intelligence technologies contributes to the personalization of learning, increases the interactivity of the educational environment, and fosters creative thinking and student autonomy. Practical experience with these technologies confirms their significant potential in fostering intrinsic motivation for learning and preparing students to use innovative technologies in their future professional careers.
The conclusions note that artificial intelligence technologies are a key factor in modernizing the educational process in higher education institutions and create new opportunities for fostering intrinsic motivation among future vocational education specialists.