知识图谱在计算思维聚类和多尺度分析中的应用及热点预测

Application and Hotspot Prediction of Computational Thinking Clustering and Multi-scale Analysis by Knowledge Map

采用计算思维来分析热点知识图谱的过程,分别开展了定性与定量分析,对计算思维的研究热点及其未来发展趋势开展了深入研究。研究选择SATI3.2软件从样本文献中提取得到关键词,通过整理总共获得了26个高频关键词。按照频次达到8以上并由高往低排序得到计算思维、计算机教学、教学方法、计算机教学基础、教学改革、信息技术课程、学生能力、程序设计。计算思维的知识图谱通过Euclid距离模型生成,将知识图谱的计算思维分成了四个不同领域。利用聚类分析和多尺度分析,分析计算思维研究热点,将计算思维理解成计算机的学科思维,通过结合分析实践与理论过程,各个关键词与很多不同领域都存在明显联系。

The hotspot knowledge map is analyzed for the computational thinking,and the qualitative and quantitative analyses are carried out,respectively.The research hotspots of computational thinking and its future development trend are studied deeply.The software SATI 3.2 is selected to extract the keywords from the sample literature,and 26 high-frequency keywords are obtained after collation.The calculation thinking,computer teaching,teaching method,computer teaching foundation,teaching reform,information technology course,student ability and program design can be obtained according to the frequency above 8 with the order from high to low.The knowledge map of computational thinking is generated by Euclidean distance model.Using cluster analysis and multi-scale analysis,the research focuses of computational thinking are analyzed.With understanding computational thinking as the subject thinking of computers,through combining analysis practice and theoretical process,each key word has obvious connection with many different fields.