<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">SDME</journal-id><journal-title-group><journal-title>Scientific Development of Modern Education</journal-title></journal-title-group><issn>2998-9027</issn><eissn>2998-9043</eissn><publisher><publisher-name>Art and Technology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/SDME.2026020016</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>数智时代中小学数据素养教育与数学方法论的融合路径探析</title><url>https://artdesignp.com/journal/SDME/3/2/10.61369/SDME.2026020016</url><author>訾虹</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>3</volume><issue>2</issue><history><date date-type="pub"><published-time>2026-01-09</published-time></date></history><abstract>数智化浪潮推动教育向数据驱动型转型，数据素养已成为中小学核心素养培育的关键，更是学生适应未来社会的必备能力。数学方法论（MM）作为凝练数学思维规律、承载探究方法的核心载体，为中小学数据素养系统化培育提供坚实支撑。本文立足国内外政策与教学实践，界定二者核心内涵，剖析其在目标、方法与过程中的内在契合性，构建&amp;ldquo;基础渗透&amp;mdash; 深度融合&amp;mdash; 拓展应用&amp;rdquo;三阶九步融合框架，结合小学、初中、高中实证案例验证其可行性。研究表明，二者深度融合，实现学生数据技能、数学思维与伦理意识的协同提升。针对传统与AI 新增挑战，提出&amp;ldquo;传统突破+AI赋能&amp;rdquo;路径，为中小学教育改革提供理论参考与实践范式。</abstract><keywords>数智时代,数据素养,数学方法论,教学融合,中小学教育,核心素养</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] UNESCO. Global Framework of Digital Literacies[EB/OL]. 2022.[2] European Commission. Digital Competence Framework for Citizens (DigComp 2021).[3] Central Cyberspace Affairs Commission. Action Plan for Improving National Digital Literacy and Skills[EB/OL].2021-10-26.[4] Mandinach E B, Gummer E S. Data literacy for educators: Defining a framework for teaching and learning[J]. Educational Measurement: Issues and Practice, 2016, 35(1): 26-35.[5] 徐利治. 数学方法论选讲[M]. 武汉: 华中理工大学出版社, 2000.[6] 祝智庭, 彭红超. 智慧教育新发展: 从翻转课堂到智慧课堂及智慧学习空间[J]. 开放教育研究, 2016, 22(1): 18-26+43.[7] 顾小清, 杨俊锋, 胡艺龄. 学习分析: 技术赋能教育的创新实践[M]. 上海: 华东师范大学出版社, 2019.[8] U.S. Department of Education. Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics[EB/OL]. 2012.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
