结构方程模型在数学教育研究中的应用趋势及演进历程———基于CiteSpace的可视化分析

Application trends and evolution course of structural equation modeling in mathematics education research: A visual analysis based on CiteSpace

摘要

为探究结构方程模型(SEM)在我国数学教育领域中的应用趋势与演进历程,以2004—2024年间中国知网(CNKI)收录的287篇相关文献作为研究对象,运用CiteSpace软件从发文量、发文作者和关键词等维度进行可视化分析.结果表明:发文量整体呈上升趋势,且增长波峰与国家课程标准的颁布时间高度契合,呈现明显的政策驱动特征;发文作者分布较为分散,核心作者群尚未形成,合作网络密度低,且以高校研究生为主,存在产学研脱节问题;研究焦点已从早期对学业成绩的静态归因,转向对变量间作用机制的深入探索,并愈发关注数学教育影响因素、现状分析与对策研究和教学实践应用.综上所述,该领域研究虽发展迅速且不断深化,但仍需在深化政策响应机制、构建协同研究共同体、推动研究方法的整合与创新等方面寻求突破,以实现从数量增长到质量提升的转变.

Abstract

To explore the application trends and evolution course of structural equation modeling (SEM) in the field of mathematics education in China, 287 relevant literature included in China National Knowledge Infrastructure (CNKI) from 2004 to 2024 was taken as the research object and CiteSpace software was adopted to visualize and analyze from the dimensions of publication volume, authors of published papers and keywords. The results indicate that the overall publication volume shows an upward trend, and the peak of growth is closely aligned with the release time of national curriculum standards, presenting obvious policy-driven characteristics. The distribution of authors is relatively scattered, the core author group has not yet been formed, the density of cooperative network is low, and the authors are mainly postgraduates in colleges and universities, with the problem of disconnection between industry, university and research. The research focus has shifted from early static attributions of academic achievement to the in-depth exploration of interaction mechanism among variables, with increasing attention paid to influencing factors on mathematics education, analysis of the current situation and countermeasures, and practical teaching applications. In conclusion, although research in this field develops rapidly and has been continuously deepening, it is still necessary to seek breakthroughs in deepening the policy response mechanism, constructing collaborative research communities, and promoting the integration and innovation of research methods to achieve a transition from quantitative growth to quality improvement.

关键词

结构方程模型 / CiteSpace / 知识图谱 / 数学教育 / 中学数学

Key words

structural equation modeling / CiteSpace / knowledge mapping / mathematics education / secondary school mathematics

参考文献

[1] 吴明隆. 结构方程模型:AMOS的操作与应用:2版[M]. 重庆: 重庆大学出版, 2010: 1.

[2] 邱皓政, 林碧芳. 结构方程模型的原理与应用:2版[M]. 北京: 中国轻工业出版社, 2019: 1-2.

[3] 刘鹂, 王娜. 教师教育者教学能力模型架构的验证性因素分析[J]. 黑龙江高教研究, 2014(4): 8-11.

[4] 周双珠, 韩瑽瑽, 陈英和. 数学焦虑影响数学学业成就的作用机制:数学元认知的中介作用[J]. 数学教育学报, 2014, 23(5): 14-18.

[5] 杜宵丰, 刘坚. 八年级学生“数学兴趣”“数学自我效能感”“学习坚持性”与“数学成就”的关系研究[J]. 数学教育学报, 2017, 26(2): 29-34.

[6] 王烨晖, 张亦梅, 杜长宏. 数学自我效能感对小学生数学学业表现的影响:数学焦虑和数学学习兴趣的中介作用[J]. 教育测量与评价, 2023(5): 92-101.

[7] 朱芷滢, 王烨晖, 杜长宏, 等. 师生关系对学生数学成绩的影响:行为参与和社会情感能力的链式中介作用[J]. 心理科学, 2024, 47(1): 97-104.

[8] 王宽明. 高中生数学推理能力测评模型的研究[D]. 贵阳: 贵州师范大学, 2021: 57-66.

[9] 崔永宏. 高中生数学概念性理解测评模型的构建研究[D]. 昆明: 云南师范大学, 2023: 68-72.

[10] 张银银, 江芹. 基于结构方程模型的初中生数学在线学习投入影响因素研究[J]. 数学教学研究, 2022, 41(4): 6-13.

[11] 刘延霞, 谢显华, 谢志勇, 等. 基于结构方程模型的数学学习兴趣影响因素分析[J]. 赣南师范大学学报, 2023, 44(3): 11-16.

[12] 徐燕. 智慧课堂背景下初中生数学学习投入及影响因素研究[D]. 厦门: 集美大学, 2024: 20-23.

[13] 秦蓉. 高中数学课堂中学生参与的个案研究[D]. 昆明: 云南师范大学, 2017: 63-94.

[14] 李倩. 多元表征理论下的高中数学教学设计研究:以圆的方程为例[D]. 固原: 宁夏师范学院, 2022: 8-9.

[15] 王沐蓉. 模型思想融入初中数学教学研究[D]. 株洲: 湖南工业大学, 2023: 20-45.

[16] 王海青. 问题驱动理论下“圆锥曲线与方程”教学重构[D]. 广州: 广州大学, 2019: 5-6.