Linguistic Capabilities Of Artificial Intelligence In History Education
Abstract
The integration of artificial intelligence (AI) in history education represents a paradigm shift in how historical knowledge is accessed, analyzed, and disseminated. This article examines the linguistic capabilities of AI technologies and their application in teaching history, focusing on automated textual analysis, translation, and semantic processing of historical documents. As educational institutions worldwide seek innovative approaches to enhance student engagement and academic literacy, AI-powered linguistic tools offer unprecedented opportunities for deepening historical comprehension, ensuring terminological precision, and developing scholarly discourse skills. This study explores how natural language processing (NLP), machine translation, and semantic analysis can transform history pedagogy, making primary sources more accessible while fostering critical thinking and analytical competencies essential for historical scholarship.