“人工智能+教育”的研究热点与前沿演进趋势分析

Research Hotspots and Emerging Trends in the Intersection of Artificial Intelligence and Education

人工智能与教育的融合为中国的教育带来了新的机遇和挑战。文章以人工智能和教育为检索词,以中国知网(China National Knowledge Infrastructure, CNKI)学术期刊在2013—2023年收录的1347篇文献为数据源,利用文献计量学对“人工智能+教育”的研究热点和前沿演进趋势进行了分析。结果表明,我国在该领域的研究热点分布于人工智能核心技术、学习方式、教学测评、人才培养、教育变革、师生角色、伦理问题等七个方向。在此基础上,对“人工智能+教育”的关键词进行了突现分析,根据关键词突现时间将研究前沿的发展划分为四个阶段:初期探索、实践阶段、深入发展和创新发展阶段。本研究能够帮助学者掌握我国“人工智能+教育”的研究热点和趋势,同时为该领域的实践研究提供了数据和理论支撑。

The integration of artificial intelligence and education brings new opportunities and challenges to education.This paper uses“artificial intelligence”and“education”as search terms and analyzes the research hotspots and frontiers of“artificial intelligence+education”using bibliometric methods based on 1347 academic articles collected by CNKI academic journals from 2013 to 2023.The results show that the research hotspots in this field in China are distributed in seven directions:core technologies of artificial intelligence,learning modes,teaching evaluation,talent cultivation,educational reform,teacher-student roles,and ethical issues.Based on this,a keyword burstness analysis was conducted on the keywords of“artificial intelligence+education”.According to the burstness time of the keywords,the development of research frontiers was divided into four stages:initial exploration,practical stage,in-depth development,and innovative development.This study can help scholars grasp the research hotspots and trends of“artificial intelligence+education”in China and provide data and theoretical support for practical research in this field.