Application and Practical Exploration of Knowledge Graphs in Inquiry-Based Foreign Language Teaching

With the continuous development and application of artificial intelligence (AI) technology, knowledge graphs, as an effective tool for knowledge organization and representation, have brought new opportunities and challenges for inquiry-based foreign language teaching. With Korean as a case study, this paper discusses the application of knowledge graphs in inquiry-based foreign language teaching. Through an analysis of their specific use in each teaching stage, the study evaluates their effectiveness. The findings indicate that knowledge graphs can effectively stimulate learning engagement and academic performance. However, challenges such as construction accuracy, teacher proficiency, and student adaptability remain. In response, this study proposes corresponding solutions, offering implications for improving foreign language teaching quality and educational intelligence.