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    中小学人工智能教育“技术—社会—组织” 协同生态研究 ——以深圳“1+4”模式为例

    Research on the "Technology-Society-Organization" Collaborative Ecosystem of Artificial Intelligence Education in Primary and Secondary Schools: Taking Shenzhen's "1+4" Model as An Example

    [浏览次数:2005]

【作      者】:

张惠敏, 梁 为, 罗晓峰, 冯 亮, 李淼云


【关 键 词 】:

中小学人工智能教育; 教育强国; 课程纲要; 社会协同; 资源整合


【栏      目】:

学科建设与教师发展


【中文摘要】:

推进中小学人工智能教育是落实教育强国战略、培养未来人才的关键举措,但其面临课程迭代滞后、师资短缺、校企协同低效等共性困境。文章以中小学人工智能教育协同生态为研究对象,以深圳市 “1+4” 模式为具体案例,通过剖析其技术与社会要素的互动逻辑,探索协同推进中小学人工智能教育的优化路径。文章构建了“技术—社会—组织”的中小学人工智能协同生态框架,通过 “技术赋能社会协同、社会协同驱动组织优化、组织优化反哺技术迭代” 的闭环联动机制,推动社会各界共同参与中小学人工智能教育,形成全社会协同育人的新生态。文章以深圳 “1+4” 模式为例,分析其以课程纲要为核心,融合技术平台、场景开放、课程与师资体系的实践路径,并通过量化评估验证其成效。结果表明,深圳模式通过技术、社会与组织子系统的深度协同,在教育资源整合、多元主体联动、课程师资优化等方面形成系统性突破,为推进中小学人工智能教育提供了有效的分析范式和可借鉴的实践范本。


【英文摘要】:

Advancing artificial intelligence (AI) education in primary and secondary schools is a key measure for implementing the strategy of building an education powerhouse and cultivating future talents, but it faces common challenges such as delayed curriculum iteration, teacher shortage, and inefficient school-enterprise collaboration. This study takes the collaborative ecosystem of AI education in primary and secondary schools as the research object, with Shenzhen's "1+4" model as a specific case, and explores the optimal path for collaboratively advancing AI education in primary and secondary schools by analyzing the interaction logic between its technical and social elements. It constructs a "technology-society-organization" collaborative ecosystem framework for AI education in primary and secondary schools. Through the closed-loop linkage mechanism of "technology empowering social collaboration, social collaboration driving organizational optimization, and organizational optimization in turn feeding back technological iteration", it promotes the joint participation of all sectors of society in AI education in primary and secondary schools, forming a new ecosystem of collaborative education across the whole society. Furthermore, taking Shenzhen's "1+4" model as an example, this paper analyzes its practical path, which centers on curriculum outline and integrates technological platforms, open scenarios and curriculum-teacher systems, and verifies its effectiveness with quantitative data. The findings indicate that Shenzhen's model achieves systemic breakthroughs in educational resource integration, multi-stakeholder collaboration and curriculum-teacher optimization through deep synergy among technological, social and organizational subsystems. This study provides an effective analytical paradigm and a replicable practical framework for advancing AI education in primary and secondary schools.

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