生成式人工智能介入教育领域应用热点与未来展望——基于CiteSpace可视化分析

Hot Spots and Future Prospects of Generative Artificial Intelligence Intervention Applications in Education—Based on CiteSpace Visualization Analysis

摘要: 随着生成式人工智能的迅速发展，其与教育领域的融合应用也成为学界研究的热点。通过对知网数据库中291篇文献进行可视化分析，分析了当前研究热点为生成式人工智能的技术原理研究，生成式人工智能应用于教育的价值研究，生成式人工智能应用于教育的风险挑战研究，生成式人工智能应用于教育的风险治理及对策研究四个方面。未来应密切关注生成式人工智能融入教育领域的发展趋势，采取适当举措加强应用风险防范治理，探求人工智能技术与教育领域实现更广更深的融合，以推动教育变革和数字化转型。

Abstract: With the rapid development of generative artificial intelligence, its integration and application in the field of education has also become a hotspot in the academic research. Through the visual analysis of 291 documents in the Knowledge Network database, the current research hotspots were analyzed as the research on the technical principles of generative artificial intelligence, the research on the value of generative artificial intelligence applied to education, the research on the risk challenges of generative artificial intelligence applied to education, and the research on the risk management and countermeasures of generative artificial intelligence applied to education. In the future, we should pay close attention to the development trend of integrating generative AI into the field of education, take appropriate measures to strengthen the application of risk prevention and governance, and explore a wider and deeper integration of AI technology and the field of education, so as to promote educational change and digital transformation.