THE INTEGRATION OF THE "CLUSTERED THINKING" METHOD AND ARTIFICIAL INTELLIGENCE IN TEACHING THE PHYSICAL AND CHEMICAL PROPERTIES OF CARBON GROUP ELEMENTS

This article analyzes the effectiveness of the “Clustered Thinking” method in teaching the physical and chemical properties of carbon group elements, and the importance of integrating artificial intelligence (AI) technologies into this process. The use of AI tools during the lesson process for efficiently gathering data, creating clusters, visualizing, designing tests, and evaluating students is discussed. Additionally, the opportunities for practical learning of the topic through virtual laboratories and enhancing the quality of the educational process using AI tools are explored.