CONCEPTS OF PRACTICAL TASKS FOR STUDYING WEB TECHNOLOGIES IN THE CONTEXT OF THE GLOBAL SPREAD OF PUBLICLY AVAILABLE ARTIFICIAL INTELLIGENCE SERVICES

Abstract

Studying concepts and approaches to creating web resources is an essential foundation for many modern industries in the digital sphere. Some elements and toolkits of the development process are being introduced in school computer science courses and studied in detail in higher education programs that directly train specialists in computing systems, computer science, or future computer science teachers. It is also indisputable that generative artificial intelligence tools have become widely available to the general public, including schoolchildren and students. Consequently, the use of AI for solving tasks has become possible. It should also be noted that such services have been and continue to be used without always adhering to academic integrity. In this situation, the question arose of modifying approaches to organizing the educational process in general, as well as when studying topics related to web technologies. Among the many approaches considered to resolve the problem, it is worth highlighting the issue of formulating tasks adapted to modern conditions. Therefore, this article aims to reveal the concepts of tasks for studying the process of web resource development in the context of the widespread distribution and use of generative artificial intelligence technologies. This study contains a detailed analysis of scientific and methodological sources related to teaching pupils and students about the development and use of web technologies. It is worth noting that both domestic and foreign experts have paid insufficient attention to this issue, despite its relevance. It is also said that topics revealing the impact of artificial intelligence technologies on forming relevant competencies in students are almost absent in both domestic and foreign professional educational discourses. The main part presents seven concepts that can be adapted and used by computer science teachers and web technology instructors in their work. Each of them is described in detail, and the potential limitations of AI in solving it are outlined. The conclusions summarize the presented materials and assess the prospects for further research.