人工智能赋能项目式学习发展高中生建模能力实践研究
Practical Research on Developing High School Students’ Modeling Ability through Artificial Intelligence-Enabled Project-Based Learning
摘要: 本研究通过探索结合微信小程序和生成式人工智能的高中数学建模项目式学习模式，评估其对学生数学建模能力和非智力因素的提升效果。选取广州市某高中高一学生作为被试，分为实验组和对照组，实验组采用生成式人工智能支持的项目式学习模式和常规教学，对照组接受常规教学。通过对数学建模能力后测，结果表明，实验组与对照组的数学建模后测在统计学上存在显著性差异，本研究实施的项目式学习能够有效提升学生的数学建模能力。
Abstract: This study explores a high school mathematical modeling project-based learning (PBL) model that integrates WeChat Mini Programs and generative artificial intelligence (AI), aiming to evaluate its effectiveness in enhancing students’ mathematical modeling ability and non-cognitive factors. A group of Grade 10 students from a high school in Guangzhou was selected and divided into an experimental group and a control group. The experimental group received project-based learning supported by generative AI alongside regular instruction, while the control group received only regular instruction. Post-test results of mathematical modeling ability revealed a statistically significant difference between the two groups, indicating that the implemented PBL model effectively improved students’ mathematical modeling abilities.
文章引用：朱信至. 人工智能赋能项目式学习发展高中生建模能力实践研究[J]. 创新教育研究, 2026, 14(5): 609-617. https://doi.org/10.12677/ces.2026.145381

参考文献

[1] 国务院办公厅. 国务院办公厅关于新时代推进普通高中育人方式改革的指导意见[J]. 人民教育, 2019(2): 10-13.
https://www.gov.cn/zhengce/content/2019-06/19/content_5401568.htm
[2] 中华人民共和国教育部. 普通高中数学课程标准(2017年版2020年修订) [M]. 北京: 人民教育出版社, 2020.
[3] Stohlmann, M., DeVaul, L., Allen, C., Adkins, A., Ito, T., Lockett, D., et al. (2016) What Is Known about Secondary Grades Mathematical Modelling—A Review. Journal of Mathematics Research, 8, 12-28. [Google Scholar] [CrossRef] 
[4] INITIATIVE CCSS (2010) Common Core State Standards for Mathematics. Common Core State Standards Initiative, 4, 148.
https://corestandards.org/wp-content/uploads/2023/09/ADA-Compliant-Math-Standards.pdf
[5] 朱娅梅. 义务教育阶段学生数学建模能力评价研究[D]: [硕士学位论文]. 上海: 华东师范大学, 2014: 14.
[6] Ärlebäck, J.B. (2009) Mathematical Modelling in the Swedish Curriculum Documents Governing the Upper Secondary Mathematics Education between the Years 1965-2000. Linköpingsuniversitet, Matematiskainstituti tionen.
[7] 日本文部科学省. 高等学校学習指導要領[EB/OL]. 2018-03-31.
https://www.mext.go.jp/content/20230120-mxt_kyoiku02-100002604_03.pdf, 2024-11-01.
[8] 牛伟强. 高中生数学建模能力发展研究[D]: [博士学位论文]. 上海: 华东师范大学, 2019.
[9] 李明振, 喻平. 高中数学建模课程实施的背景、问题与策略[J]. 数学通报, 2008, 47(11): 8-10, 14.
[10] Krajcik, J.S. and Blumenfeld, P.C. (2006) Project-Based Learning. In: Sawyer, R.K., Ed., The Cambridge Handbook of the Learning Sciences, Cambridge University Press, 317-334. [Google Scholar] [CrossRef] 
[11] 薛红霞. 项目学习: 数学建模的教学实施路径之一[J]. 中小学教材教学, 2020(9): 46-50.
[12] UNESCO (2023) Guidance for Generative AI in Education and Research.
https://www.unesco.org/en/articles/guidance-generative-ai-education-and-research
[13] 刘邦奇, 聂小林, 王士进, 等. 生成式人工智能与未来教育形态重建: 技术框架、能力特征及应用场景[J]. 电化教育研究, 2024, 45(1): 13-20.
[14] 讯飞教育技术研究院. 2024智能教育发展蓝皮书——生成式人工智能教育应用[EB/OL]. 2024-09-25.
https://edu.iflytek.com/about-us/news/company-news/1449, 2024-11-01.
[15] 周巍. 学术期刊开发微信小程序的价值与策略探析[J]. 传媒, 2018(18): 42-44.
[16] 祖丹, 丁锐, 孔凡哲. 双维多水平数学建模能力测评框架的构建[J]. 数学教育学报, 2022, 31(4): 56-61.
[17] Biggs, J. and Collis, K. (1982) Evaluating the Quality of Learning: SOLO Taxonomy. Academic Press, 23-25.
[18] 林崇德, 杨治良, 黄希庭, 主编. 心理学大辞典 下[M]. 上海: 上海教育出版社, 2003.
[19] 刘欢培. SPSS在试卷质量分析中的应用[J]. 课程教育研究(学法教法研究), 2018(15): 5.
[20] 王淑娟. 美国中小学项目式学习: 问题、改进与借鉴[J]. 域外教育, 2019(6): 70-77.

为你推荐