【摘要】 文章以挖掘分析国内外人工智能在基础教育中应用的研究中心点、异同点、新型研究点为目标,收集国内外教育技术领域的核心期刊,利用相关工具进行高频关键词的选定,词篇矩阵的提取,相似矩阵、相异矩阵的转化、聚类分析、多维尺度分析、社会网络分析,进行递进式研究。结果显示国内外研究走势、研究中心、研究深度、新型研究点是有差别的。国外在基础教育中利用学习计算模型进行计算教育,收集教育数据,进行挖掘评估,建立教育动因系统。国内则以本土化的人工智能教育为出发点进行未来基础教育新课程标准规划。更多还原

【Abstract】 The article aims to explore and analyze the research centers, similarities and differences, and new research points of artificial intelligence in basic education, collect core journals in the field of educational technology at home and abroad, and use relevant tools to select high-frequency keywords. Matrix extraction, similar matrix, transformation of different matrices, cluster analysis, multidimensional scaling analysis, social network analysis, and progressive research, the results show: domestic and foreign research trends, research centers, research depth, new research sites are Different. In foreign countries, the learning calculation model is used for basic education, the education data is collected, the mining evaluation is carried out, and the educational motivation system is established. China takes the localized artificial intelligence education as the starting point to carry out the new curriculum standard planning for the future basic education. In the next few years, China should strengthen international exchanges and cooperation, observe the application of artificial intelligence in basic education, and go hand in hand with each country for the future basic education.更多还原