Research Trends and Future Tasks of AI-based History and History Education

Key Points

• This study aims to explore current research trends in history and history education related to artificial intelligence, and to forecast future methodologies and tasks.
• Reviewed AI-related academic papers and books from the last two years in the fields of history and history education.
• Discussed practical methodologies like virtual interviews and historical simulations using AI technologies.
• Proposed the establishment of a fusion database for ancient history combining various source types.
• Highlighted the restoration of cultural heritage through AI and Bayesian network analysis.
• Emphasized the urgent need for critical historical literacy and digital source critique in education.
• Stressed the importance of a rigorous verification system involving historians, archaeologists, and AI experts.