SCIENTIFIC AND THEORETICAL FOUNDATIONS FOR IMPROVING HISTORY EDUCATION BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGIES
Keywords:
artificial intelligence, history education, digital education, “Contemporary History of Uzbekistan,” TPACK, constructivism, connectivism, cognitive load, didactic potential.Abstract
This thesis examines the scientific and theoretical foundations for improving history education through artificial intelligence technologies. It also analyzes the didactic potential of artificial intelligence in teaching the subject “Contemporary History of Uzbekistan,” changes in the activities of teachers and learners, and the theoretical and methodological aspects of integrating these technologies into the educational process. The study combines constructivism, the TPACK framework, connectivism, and cognitive load theory to substantiate a theoretical basis for the effective and scientifically grounded use of artificial intelligence in history education.
References
1. Mishra, P., & Koehler, M.J. (2006). Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge. Teachers College Record, 108(6), 1017–1054.
2. Siemens, G. (2005). Connectivism: A Learning Theory for the Digital Age. International Journal of Instructional Technology and Distance Learning, 2(1).
3. Decree of the President of the Republic of Uzbekistan “On Approval of the Digital Uzbekistan – 2030 Strategy.” Tashkent, 2020.

