人工智能应用于特殊教育的知识图谱分析

The Application of Artificial Intelligence in Special Education:An Analysis of Knowledge Graph

为全面了解人工智能应用于特殊教育的知识流、研究热点和研究趋势,本文对687篇相关文献进行了可视化分析。结果表明,本研究领域呈现出多学科的融合趋势,蕴含了"医教结合"的理念;研究热点向对象类型多样化、研究技术多元化、应用领域日常化的方向演进;研究趋势从"医教结合"的视角分析,可分为前期侧重"以医为主",中期关注"医教并重",近期着眼"个性化研发"三个阶段。研究结果为我国人工智能应用于特殊教育的发展提供如下启示:标准上应构建规范化体系,完善动态评估机制;技术上应开展本土化研究,促进技术联合;应用上关注个性化需求,实现产品日常化;伦理上应保障安全的干预环境。

This paper aims to explore the knowledge flow,hotspots and research trends of artificial intelligence applied to special education through a visual analysis of 687 literatures.The results are as follows:This research field presents a trend of multi-disciplinary integration,which contains the concept of integration of medicine and education;The research hotspots focus on diversified disabilities,multiplex technology and daily applications;In terms of research trend,three stages are identified from the perspective of integration of medicine and education:focus on medicine in the early stage,dual focus on medicine and education in the middle stage,and personalized research and development in the near term.Implications for artificial intelligence applied to special education development in China include:establish a standardized system and improve dynamic evaluation mechanism,carry out local research and promote integrated technology,focus on personalized needs and provide daily products,and ensure a safe environment for intervention.