Author: Xayitov, Baxodir Taxirovich

Annotation: This article discusses the application of artificial intelligence, fuzzy logic, and machine learning technologies in history education. The study explores the possibilities of analyzing digital archives, organizing historical data, and providing personalized recommendations for students. Methods for more accurate analysis of historical information using Random Forest, Deep Learning, and fuzzy systems are examined. The results show that AI and fuzzy systems improve the effectiveness of teaching history and create a convenient and personalized learning environment for students.

Keywords: Artificial intelligence, fuzzy logic, history education, digital archive, machine learning, deep learning, decision-making system.

Pages in journal: 711 - 717