Interactive web resource for teaching computer science in general secondary education with AI agent integration

Abstract

The paper presents the design, implementation, and evaluation of an interactive web-based educational resource that aimed at supporting the teaching and learning of computer science in general secondary education within the framework of the New Ukrainian School reform. The study's relevance is determined by the ongoing digitalization of education and the growing demand for flexible, interactive, and student-centered learning environments that correspond to modern educational standards.
The proposed web resource integrates contemporary web technologies and includes role-based access for students, teachers, and administrators, enabling the creation, comple-tion, and assessment of various types of learning tasks. Special attention is given to the inte-gration of an AI-based assistant, which provides contextual support for students during pro-gramming tasks and can be enabled or disabled by the teacher depending on pedagogical ob-jectives.
The research methodology includes an evaluation of the system’s technical perform-ance, usability, and reliability, as well as an experimental comparison of learning outcomes for students working with and without AI assistance. The results indicate that AI-supported learning can positively influence learning efficiency without replacing the teacher’s role in the educational process.
The developed solution demonstrates the potential of AI-enhanced educational digital platforms to support competency-based learning and personalized instruction. It can serve as a foundation for further development of digital educational systems aligned with the princi-ples of the New Ukrainian School. The results demonstrate the effectiveness and feasibility of using AI agents to improve the quality and personalization of computer science education.