基于大数据的计算思维能力培养的可视化分析
Visual Analysis of Computational Thinking Ability Training Based on Big Data

计算思维作为信息科技学科的核心素养之一，受到众多学者的高度关注。本文利用知识图谱软件CiteSpace，运用文献计量方法和内容分析方法，对中国知网(CNKI)数据库中2006年至2024年北大核心、SCI、CSSCI、EI和硕博论文等文献进行统计，从发文量统计、作者、关键词引用频次、关键词突变、关键词聚类和时间线分布等可视化分析，绘制知识可视化图谱，探索国内计算思维的研究热点和研究趋势。结果表明：计算思维的关注度呈现总体上升趋势，研究热点主要集中于教学环节和人工智能领域，研究趋势也随着时代的需求而发生相应的变化。
As one of the core qualities of information technology, computational thinking has attracted the attention of many scholars. This paper uses the knowledge mapping software CiteSpace, and uses bibliometric methods and content analysis methods to count the core, SCI, CSSCI, EI and master’s and doctoral papers of Peking University from 2006 to 2024 in the China Knowledge Network (CNKI) database. From the visual analysis of publication statistics, authors, keyword citation frequency, keyword mutation, keyword clustering and timeline distribution, the knowledge visualization map is drawn to explore the research hotspots and research trends of domestic computational thinking. The results show that the attention of computational thinking shows an overall upward trend. The research hotspots are mainly concentrated in the field of teaching and artificial intelligence. The research trend also changes with the needs of the times.