新工科背景下使用数据可视化分析软件SciMAT对近10年国际计算思维相关研究主题进行动态演化路径文献计量分析,有利于我国计算思维的培养。5个研究时段的关键词覆盖图、聚类战略坐标图和主题演化图表明,2015—2024年间国际计算思维研究活跃,主题演化形成“机器人”“程序设计”“教学策略与效果”3个主要方向的多条演化路径。我国计算思维的培养在经费允许时可充分发挥机器人教育趣味性高和操作性强的优势,结合STEM开展综合虚拟仿真;重视各年龄阶段学习者程序设计能力与数学思维的培养;在避免游戏沉迷的前提下,面向一定的目标提供有意义的学习框架,结合设计游戏与玩游戏等途径,开展体验式教学策略创新以提升教学效果。
Abstract
In the context of new engineering disciplines, using the data visualization analysis software SciMATto conduct a bibliometric analysis of the dynamic evolution path of research topics related to international computational thinking in the past 10 years is beneficial for the cultivation of computational thinking in China. The keyword coverage map, clustering strategy coordinate map, and theme evolution map of the five research periods indicate that international computational thinking research is active from 2015 to 2024, and the theme evolution formed multiple evolution paths in three main directions: "robotics", "programming", and "teaching strategies and effects". The cultivation of computational thinking in our country can fully leverage the advantages of high interest and strong operability in robot education, combined with STEM to carry out comprehensive virtual simulation, when funds permit; Emphasize the cultivation of programming skills and mathematical thinking among learners of all ages; On the premise of avoiding game addiction, provide meaningful learning frameworks for certain goals, combine game design and playing, and innovate experiential teaching strategies to improve teaching effectiveness.
关键词
计算思维 /
动态演化 /
SciMAT /
文献计量分析 /
内容分析
Key words
computational thinking /
dynamic evolution /
SciMAT /
bibliometric analysis /
content analysis
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