MODELING BY METHODS OF SYSTEM ANALYSIS THE IMPACT OF CHATBOTS BASED ON ARTIFICIAL INTELLIGENCE ON THE QUALITY OF HIGHER EDUCATION

Abstract

The given research allows assessing the impact of artificial intelligence-based generative chatbots on the quality of higher education, taking into account both academically ethical and academically unethical educational activities. The primary aim of the study is to propose effective strategies for enhancing the quality of higher education in the rapidly developing landscape of artificial intelligence. The research employs a two-stage method of modified morphological analysis and cognitive modeling. These systematic approaches provide a comprehensive foundation for analyzing complex interactions among students, generative chatbots, and educational practices. The use of a combined approach contributes to a fundamental understanding of the addressed issues, enabling a more thorough exploration of potential solutions. The uniqueness of this research lies in the examination of the specific influence of chatbots on the quality of higher education and the implementation of specific strategies to elevate the level of the educational process. An intriguing and key feature is that both methods of system analysis utilized nearly identical basic data. Despite employing different approaches, the results of both methods turned out remarkably similar, paving the way for combining and comparing various mathematical methods of system analysis in researching other knowledge domains. Both methods indicated almost identical strategies for improving the quality of higher education, affirming the high quality of the developed models and providing clear guidance for effective decision-making by the scientific and pedagogical staff of higher educational institutions. As a result of the research, effective strategies were formulated to enhance the quality of higher education by minimizing the negative consequences associated with students' misuse of chatbots and maximizing the educational, practical, and scientific benefits derived from the interaction between participants in the educational process and artificial intelligence chatbots. The modeling outcome involves the development of two interconnected models that reveal a numerical hierarchy of the effectiveness of educational interventions for improving the quality of higher education. This hierarchy of actions can serve as a valuable tool for educators and is recommended for implementation in the higher education system.