DEVELOPMENT OF ALGORITHMIC THINKING BASED ON ARTIFICIAL INTELLIGENCE AND DIGITAL TECHNOLOGIES IN COMPUTER SCIENCE TEACHING
Keywords:
computer science, algorithmic thinking, artificial intelligence, digital technologies, interactive learning, programming, digital competence.Abstract
This article analyzes the development of algorithmic thinking in teaching computer science through the use of artificial intelligence, digital educational resources, and interactive software tools. In today’s digital society, computer science is no longer viewed only as a subject that teaches computer use, but also as an important educational field that develops logical thinking, step-by-step problem solving, data analysis, and technological decision-making skills. The article discusses the concept of algorithmic thinking, its role in computer science education, the possibilities of using artificial intelligence tools, and their influence on learning effectiveness. The research uses theoretical analysis, comparison, pedagogical observation, and didactic modeling methods. As a result, the article argues that AI-based assistant systems, visual programming environments, electronic tests, simulators, and digital tasks can serve as effective tools for developing algorithmic thinking in computer science lessons.
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