Methodology for implementing artificial intelligence tools to personalize computer science education in general secondary education institutions

Abstract

The work is devoted to the research and development of methods for using artificial intelligence (AI) tools to personalize the learning of students in general secondary education institutions, particularly in computer science classes. The goal is to provide a theoretical basis and develop practical solutions for creating an adaptive and effective educational environment. The article analyzes the essence of personalized learning, its psychological and pedagogical foundations, the role of artificial intelligence in the modern educational process, as well as foreign and domestic experience in its implementation. The author presents a methodology for using AI tools to personalize computer science education, based on the diagnosis of students' individual educational needs through adaptive testing and analysis of learning data (Learning Analytics) with the aim of forming dynamic profiles. The proposed methodology covers the development and adaptation of educational content, the formation of individual learning trajectories, and the generation of personalized tasks, the complexity and type of which correspond to the educational needs of the student. An important component is the use of intelligent learning systems capable of imitating the activities of an individual tutor, as well as the organization of feedback and support for students through interactive AI-based chatbots. Experimental testing has confirmed the effectiveness of the methodology, proving the feasibility of using AI tools to personalize the educational process. This contributes to improving academic performance, motivation, and the development of key competencies in students, as well as optimizing the work of computer science teachers, increasing the efficiency of the educational process. The work is being completed with the development of methodological recommendations for computer science teachers, which contain practical advice on the implementation of AI tools in the educational process.