为剖析国内外教育领域人工智能研究热点并挖掘前沿趋势,研究基于Web of Science和中国知网数据库中以人工智能为主题的文献数据,使用CiteSpace软件对其进行知识图谱绘制和可视化分析.结果表明:从研究热点来看,国外研究集中于人工智能关键技术、以智能导学系统为核心的教育应用、人工智能助力学习理论和教学模式的创新等;国内研究则细化为人工智能技术支持下的课堂教学和学生学习、高等教育改革、教育应用中的人工智能关键技术、智能教育体系的建立等.从研究趋势来看,整合教育大数据的学习者建模、智能导学系统开发、教师角色与素养、学习情感与情感计算、伦理问题等是研究的前沿主题.
Exploration of AI Research Hotspots Comparison and Frontier Trend in the Education Field at Home and Abroad
To analyze the research hotspots of AI in the education field at home and abroad and explore frontier trends,it uses CiteSpace software to draw Knowledge Graph and conduct visual analysis of research content.The research data is sourced from literature on AI in Web of Science and CNKI databases.The results indicate that,in terms of research hotspots,international studies primarily focus on key AI technologies,educational applications centered on intelligent tutoring systems,and innovations in learning theories and teaching modes facilitated by AI.Domestic research further refines into classroom teaching and student learning supported by AI technologies,key AI technologies in higher education reform,educational applications,and the establishment of intelligent education systems.From the perspective of research trends,learner modeling,intelligent guidance system developing,teacher roles and competencies,learning emotions and emotional computing,ethical issues integrating educational big data are frontier topics of research.
国家科技期刊平台
NSTL
万方数据
