STUDENTS’ CREATIVE LEARNING IN TEACHING PHYSICS USING THE PRODUCTIVE METHOD WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE

Authors

  • Yu. G. Mahmudov Professor of Tashkent University of Humanities, Doctor of Pedagogical Sciences
  • Sh. T. Boymirov Associate Professor of Denau Institute of Entrepreneurship and Pedagogy, Doctor of Philosophy (PhD) in Pedagogical Sciences

Keywords:

productive method, physics education, creative learning, artificial intelligence in education, learning motivation, innovative pedagogy, digital learning environments.

Abstract

This study examines the didactic foundations of students’ creative learning in physics education through the application of the productive teaching method supported by artificial intelligence technologies. The research analyzes how innovative pedagogical approaches contribute to the development of students’ independent thinking, problem-solving abilities, and cognitive engagement. Particular attention is given to the role of motivation in stimulating students’ learning activity and academic achievement. Artificial intelligence tools such as adaptive learning platforms, intelligent tutoring systems, and virtual laboratories provide opportunities for personalized learning and interactive experimentation. The findings indicate that the integration of productive teaching methods with artificial intelligence technologies significantly enhances students’ creative thinking, learning motivation, and conceptual understanding of physics.

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References

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Published

2026-04-05

How to Cite

Yu. G. Mahmudov, & Sh. T. Boymirov. (2026). STUDENTS’ CREATIVE LEARNING IN TEACHING PHYSICS USING THE PRODUCTIVE METHOD WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE. Journal of Applied Science and Social Science, 16(4), 153–155. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/3939

Issue

Vol. 16 No. 4 (2026): Journal of Applied Science and Social Science

Section

Articles

License

Creative Commons License

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