PPORTUNITIES AND CHALLENGES OF USING ARTIFICIAL INTELLIGENCE IN TEACHING PROFESSIONAL DISCIPLINES TO STUDENTS OF THE SPECIALTIES 'COMPUTER SCIENCE' AND 'SOFTWARE ENGINEERING'

Abstract

The article explores the opportunities and challenges of using artificial intelligence (AI) in teaching professional disciplines to students majoring in "Computer Science" and "Software Engineering." It analyzes modern approaches to defining AI, international and national regulatory initiatives, as well as research findings on the integration of AI into the educational process. Practical examples of AI application are examined, including automated assessment, personalized learning, algorithm visualization, and programming support.

The article also analyzes how AI can contribute to improving the learning process and enhancing the quality of education, while addressing ethical and practical aspects of its use. The main focus is on identifying the role of AI in teaching and learning, analyzing AI tools and technologies, discussing the limitations and challenges of AI, and providing recommendations for its effective implementation. The article aims to provide educators and students with an understanding of the potential and limitations of AI in education and to suggest ways to use these technologies effectively to improve the educational process.

It identifies problems related to academic integrity, the quality of prompts, student dependence on automated solutions, and the risk of declining critical thinking skills. Pedagogical approaches for effective AI use are proposed, including the "flipped classroom" model and Bloom's taxonomy. Recommendations are also provided for adapting learning tasks and reinforcing individual project defenses. It is concluded that combining traditional teaching methods with AI capabilities can improve the quality of education, but requires careful planning, ethical consideration, and a responsible stance from educators and educational institutions.