留学生教育在高等教育国际化的背景下, 具有十分重要的意义。我国留学生教育方面虽取得显著成果, 但仍然面临教学、管理、人际交往等问题。本研究运用VOSviewer和CiteSpace软件, 对2014—2025年知网中的489篇CSSCI和北大核心的期刊文献进行可视化分析。根据结果发现, 高等院校虽然是留学生教育研究主体, 但仍存在机构合作不足、重数量轻质量等问题; 研究结果显示关键词聚类成6个群, 热点集中在留学生教育、教育发展以及国际化“一带一路”育合作等领域; 研究历程也通过分析分为三个阶段, 基础构建与政策驱动期 (2015—2017) 、区域合作与质量探索期 (2018—2020) 、文化认同与全球博弈期 (2021—2025) , 并且重点方向也在不断变化。“一带 一路”、教育国际化等一直是核心热点。通过以上结论, 可以为我国留学生教育事业朝着科学、规范且可持续的方向稳健迈进提供有效参考。后续研究也要紧密围绕当前热点及现存难题, 积极探寻切实可行的优化策略。
International student education is of great significance in the context of internationalization of higher education. Although we have made remarkable achievements in the education of overseas students, we still face problems in teaching, management and interpersonal communication. This study uses VOSviewer and CiteSpace software to visually analyze 489 CSSCI and Peking University core journal literatures in KNOWnet from 2014 to 2025. According to the results, although institutions of higher learning are the main body of international student education research, there are still some problems such as insufficient institutional cooperation and emphasis on quantity over quality. The research results show that the keywords cluster into 6 groups, and the hot spots are concentrated in the fields of international student education, education development, and international education cooperation under the Belt and Road Initiative. The research process is also divided into three stages through analysis: foundation construction and policy-driven period (2015—2017) , regional cooperation and quality exploration period (2018—2020) , cultural identity and global game period (2021—2025) , and the focus direction is constantly changing. The Belt and Road Initiative and the internationalization of education have always been core hotspots. Through the above conclusions, it can provide an effective reference for the education of overseas students in China to move steadily towards a scientific, standardized and sustainable direction. Follow-up research should also focus on current hot spots and existing problems, and actively explore feasible optimization strategies.