中外人工智能赋能个性化学习研究的可视化比较分析及启示OA

This study employs CiteSpace to conduct a visual comparative analysis of domestic and international research on AI-enabled personalized learning.Based on literature from Peking Uni-versity core journals,CSSCI journals,and SSCI journals,it systematically explores the similarities and differences between Chinese and international research.The findings reveal that in terms of re-search hotspots,both domestic and international studies focus on AI-driven technological foundations and personalized learning objectives;however,domestic research emphasizes macro concepts and inte-gration with traditional teaching,while international research focuses on cutting-edge technology and targeted applications.Regarding hotspot themes,both center on four aspects:core driving forces,key applications,educational paradigms,and ethical values;yet domestic research stresses contextual em-powerment and educational equity,while international research focuses on technical principles and ethical values.In evolutionary trends,the international path is more coherent,progressing through de-sign,modeling,and deepening stages,whereas the domestic path is more discontinuous,moving from technological emergence through data-driven approaches to conceptual integration and frontier expansion.Based on this,China's future direction should promote the integration of macro and micro research,deepen core technology cultivation,build a multi-stakeholder collaborative governance sys-tem,and foster high-quality and localized development in this field.