基于三维模型的计算思维培养与实践研究——以《宋词情感时空图谱》项目为例
Cultivation and Practical Research on Computational Thinking Based on a Three-Dimensional Model—Taking the Project “Emotional Spatial-Temporal Mapping of Song Ci” as an Example
DOI: 10.12677/ae.2025.15101957, PDF,    科研立项经费支持
作者: 周培杰, 刘美兰, 徐海霞, 付雪洋:湖北师范大学人工智能与计算机学院,湖北 黄石;熊 珠:通城县沙堆镇沙堆小学,湖北 咸宁
关键词: 计算思维项目式学习问题解决跨学科学习滞后序列分析Computational Thinking Project-Based Learning Problem Solving Interdisciplinary Learning Lag Sequence Analysis
摘要: 为破解编程教育中思维培养碎片化与学科融合浅表化难题,本研究建构“问题解决–计算思维–项目式学习”三维教学模型,通过五组认知耦合点构建“认知主线–核心要素–实践载体”的动态交互路径。为验证模型有效性,设计跨学科项目《宋词情感时空图谱》(文本分析→Python可视化)。数据显示,教学干预后学生计算思维各维度显著提升,其中评估能力进步最大;滞后序列分析显示“算法实践→效果评估”为核心行为循环。研究表明,该模型为技术赋能与思维发展的双向协同提供了可操作框架,其跨学科实施路径对计算思维教育范式革新具有实践意义。
Abstract: To address the issues of fragmented thinking cultivation and superficial interdisciplinary integration in programming education, this study constructs a “problem-solving - computational thinking - project-based learning” three-dimensional teaching model. It establishes a dynamic interaction path of “cognitive mainline - core elements - practical carrier” through five groups of cognitive coupling points. To evaluate the model’s effectiveness, we designed an interdisciplinary project—the Song Ci Spatio-Temporal Sentiment Atlas—which proceeds from text analysis to Python-based visualization. Data indicate that after teaching intervention, students’ computational thinking improved significantly in all dimensions, with the most remarkable progress in evaluation ability. Lag-sequential analysis reveals that algorithmic practice is consistently followed by effect evaluation, forming the core behavioral cycle. The research demonstrates that this model provides an operable framework for the two-way synergy between technology empowerment and thinking development, and its interdisciplinary implementation path holds practical significance for innovating the paradigm of computational thinking education.
文章引用:周培杰, 刘美兰, 徐海霞, 熊珠, 付雪洋. 基于三维模型的计算思维培养与实践研究——以《宋词情感时空图谱》项目为例[J]. 教育进展, 2025, 15(10): 1200-1209. https://doi.org/10.12677/ae.2025.15101957

参考文献

[1] 中华人民共和国教育部. 普通高中信息技术课程标准: 2017年版2020年修订[S]. 北京: 人民教育出版社, 2020.
[2] 张晓卉. 我国信息技术课程发展的路向与策略研究[D]: [博士学位论文]. 长春: 东北师范大学, 2016.
[3] 多召军, 刘岩松, 任永功. 编程教育促进儿童计算思维发展的内在机理与教学实践研究[J]. 电化教育研究, 2022, 43(8): 101-108.
[4] Silapachote, P. and Srisuphab, A. (2016) Teaching and Learning Computational Thinking through Solving Problems in Artificial Intelligence: On Designing Introductory Engineering and Computing Courses. 2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Bangkok, 7-9 December 2016, 50-54. [Google Scholar] [CrossRef
[5] Standl-Gruber, B. (2016) Uniting Computational Thinking Problem Solving Strategies with MIT Inventor. Local Proceedings of the 9th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives (ISSEP), Münster, 13-15 October 2016, 60-63.
[6] 张立国, 王国华. 计算思维: 信息技术学科核心素养培养的核心议题[J]. 电化教育研究, 2018, 39(5): 115-121.
[7] 桑国元, 叶碧欣, 黄嘉莉, 等. 构建指向中国学生发展核心素养的项目式学习标准模型[J]. 中国远程教育, 2023, 43(6): 49-55.
[8] 宿庆, 张文兰, 王海, 等. 面向高中生计算思维培养的信息技术课程项目式学习研究[J]. 电化教育研究, 2022, 43(8): 109-115+122.
[9] 丁世强, 王平升, 赵可云, 等. 面向计算思维能力发展的项目式教学研究[J]. 现代教育技术, 2020, 30(9): 49-55.
[10] 陈兴冶, 董玉琦, 杨伊. 促进计算思维发展的学习设计模型开发——基于上海市实验学校的实践[J]. 全球教育展望, 2024, 53(6): 115-127.
[11] 刘俊生, 余胜泉. 分布式认知研究述评[J]. 远程教育杂志, 2012, 30(1): 92-97.
[12] Kolb, D.A. (1981) Learning Styles and Disciplinary Differences. The Modern American College.
[13] Tsai, M.J., Liang, J.C. and Hsu, C.Y. (2021) The Computational Thinking Scale for Computer Literacy Education. Journal of Educational Computing Research, 59, 579-602. [Google Scholar] [CrossRef
[14] Selby, C. and Woollard, J. (2013) Computational Thinking: The Developing Definition. University of Southampton.
[15] 余燕芳, 李艺. 基于计算思维的项目式教学课程构建与应用研究——以高中信息技术课程《人工智能初步》为例[J]. 远程教育杂志, 2020, 38(1): 95-103.
[16] 张屹, 林裕如, 杨玉芹, 等. 人工智能课程中概念支架与程序支架对学生计算思维的影响研究[J]. 远程教育杂志, 2024, 42(5): 102-112.