图书情报工作 ›› 2023, Vol. 67 ›› Issue (13): 142-151.DOI: 10.13266/j.issn.0252-3116.2023.13.015

• 综述述评 • 上一篇    

“数字中国”建设背景下高校学生计算思维培养研究:热点、趋势与建议

马晓飞, 张尔赫   

  1. 北京邮电大学经济管理学院 北京 100876
  • 收稿日期:2023-03-22 修回日期:2023-04-26 出版日期:2023-07-05 发布日期:2023-07-11
  • 作者简介:马晓飞,副教授,博士,博士生导师,E-mail:maxiaofei@bupt.edu.cn;张尔赫,本科生。
  • 基金资助:
    本文系教育部人文社会科学研究青年基金项目“多重异质条件下政府科技经费投入对产业网络创新绩效的影响机制与优化路径研究”(项目编号:19YJC630120)和中国工程院战略咨询项目“人工智能应用技术自主可控与产业生态发展战略研究”(项目编号:2019GCYGUO)研究成果之一。

Research on the Cultivation of Computational Thinking among College Students under the background of “Digital China”: Hot Spots, Trends and Suggestions

Ma Xiaofei Zhang Erhe   

  1. School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876
  • Received:2023-03-22 Revised:2023-04-26 Online:2023-07-05 Published:2023-07-11

摘要: [目的/意义] 我国高校学生计算思维能力培养途径不清晰,培养效果不显著的问题仍普遍存在。探索符合“数字中国”建设要求的高校学生计算思维培养途径至关重要。[方法/过程] 借助 CiteSpace 知识图谱工具,对2006 年 3 月至 2022 年 12 月发表于 SSCI 和 CSSCI 来源期刊的 940 篇计算思维领域的文献进行计量分析,挖掘适合高校学生的计算思维培养途径。[结果/结论] 研究发现:①计算思维培养研究方向主要聚焦于解决现实问题;②计算思维培养研究内容更关注跨学科交叉融合培养;③非计算机专业的计算思维培养课程教学形式和授课领域单一,缺乏体系化的课程设计;④计算思维培养研究力度国内总体低于国外。基于上述发现,从培养导向、学科交叉、课程设计、国际合作 4 个方面提出培养高校学生计算思维的具体建议。

关键词: 数字中国, 人才培养, 计算思维, 文献计量

Abstract: [Purpose/Significance] The training of computational thinking ability of Chinese college students is not clear, and problems that the training effect is not obvious, still exist. It is very important to explore ways to cultivate computational thinking of college students that meet the requirements of “Digital China” construction. [Method/Process] By means of CiteSpace knowledge graph tool, this paper made a quantitative analysis of 940 literatures in the field of computational thinking published in SSCI and CSSCI source journals from March 2006 to December 2022, so as to find out suitable ways to cultivate computational thinking for college students. [Result/Conclusion] The research findings are as follows: ① The research direction of computational thinking training mainly focuses on solving practical problems. ② The research content of computational thinking training is more concerned with interdisciplinary fusion training. ③ The teaching form and teaching area of the training course of computational thinking for non-computer majors are single, and the lack of systematic course design. ④ The research intensity of computational thinking training in China is generally lower than that in foreign countries. Based on the above findings, this paper puts forward some suggestions on training college students’ computational thinking from four aspects: training orientation, interdisciplinary, curriculum design and international cooperation.

Key words: digital China, personnel training, computational thinking, bibliometric

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