Big models; Educational application; CiteSpace; Knowledge graph analysis
大模型; 教育应用; CiteSpace; 知识图谱分析
Abstract:
To visually demonstrate the research progress, hot topics and trends of big models in China’s education field, CiteSpace visualization analysis software was mainly used to conduct a systematic analysis of 1,202 related documents from 2021 to 2025, in order to explore the current research status, hot topics and evolution of big models in China. The results indicate that the development time of general big models in China’s education field is relatively short, but the development momentum is extremely rapid, and the number of published papers generally shows an upward trend; there are cooperative relationships between institutions and authors, mainly centered on universities, but the overall cooperation intensity is weak; artificial intelligence, big models, multimodality and precision teaching are the hot topics of research; the research trend is evolving from the initial technology-enabled education to the deep integration of technology and education. Currently, the application of big models in the education field is still in continuous development. Future research should conform to the development of technical means, achieve cross-disciplinary and cross-regional integration, improve the corresponding security guarantee system, and truly promote general big models to continuously advance towards education-specific big models.
为了直观展示大模型在我国教育领域的研究进展、热点动态及发展趋势,主要采用CiteSpace可视化分析软件,对2021—2025年的1202篇相关文献进行系统分析,探究大模型在我国研究现状、热点及演进。结果表明,通用大模型在我国教育领域内发展时间较为短暂,但发展势头极为迅猛,发文数量总体呈上升趋势;研究机构与作者之间存在合作关系,主要以高校为主阵地,但整体合作力度较弱;人工智能、大模型、多模态、精准教学等是研究的热点话题;研究趋势正从初期的技术赋能教育,逐步向技术与教育深度融合的方向演进。目前,大模型在教育领域的应用仍在不断发展,未来研究更应顺应技术发展,实现跨学科、跨地域的交叉融合,健全安全保障体系,真正促使通用大模型朝着教育专业大模型转型升级。