Exploring Research Trends for Proposing AI-Based Curriculum Development Models

This study analyzed 406 research papers on AI-based curriculum published domestically and internationally from 2019 to 2024, highlighting the impact of AI technology on curriculum design, implementation, and evaluation. Unlike previous studies that broadly examined AI’s influence on education, this study focused specifically on "curriculum," establishing its distinctiveness. Additionally, a comparative analysis of domestic and international research identified regional differences and commonalities. Using text mining, topic modeling, and network analysis, the study examined key research trends, revealing that domestic research emphasized structural improvements and institutional applications of curricula, whereas international research focused on developing personalized learning tools and applying innovative teaching methods. Furthermore, by analyzing the temporal trends of key topics in AI-based curriculum research, this study provides a valuable foundation for exploring future directions in AI-driven curriculum development. The findings and insights derived from this research are expected to guide AI-based curriculum studies and serve as fundamental resources for advancing educational innovation and quality improvement.