STAGE-BY-STAGE PROCESSES OF STUDENTS' CREATIVE ACTIVITY IN PERFORMING PROBLEM-BASED EXPERIMENTS IN PHYSICS USING ARTIFICIAL INTELLIGENCE

This article examines the stage-by-stage processes of students’ creative activity in performing problem-based experiments in physics using artificial intelligence technologies. The study analyzes how didactic principles and innovative pedagogical approaches contribute to the development of students’ creative thinking and cognitive engagement. Particular attention is given to the role of motivation, curiosity, and emotional involvement in the learning process. Artificial intelligence tools, including virtual laboratories and intelligent learning systems, provide opportunities for personalized instruction and interactive experimentation. The results show that the integration of artificial intelligence with problem-based experimental learning significantly improves students’ analytical thinking, creativity, and conceptual understanding of physics.