中小学人工智能科普资源数字化建设探索
Exploration of Digital Development for AI Popularization Resources in Primary and Secondary Schools
DOI: 10.12677/ces.2026.146438, PDF,    科研立项经费支持
作者: 何 静, 陈林宇:绵阳师范学院人工智能学院,四川 绵阳;李 敏*:宜宾学院计算机科学与技术学院,四川 宜宾
关键词: 人工智能科普知识图谱中小学教育教育资源Artificial Intelligence Popularization Knowledge Graph Primary and Secondary Education Educational Resource
摘要: 针对我国中小学AI教育面临的师资断层、资源适配不足及城乡条件割裂等结构性挑战,提出“核心知识图谱、分层资源包、校本实践”三位一体建设路径。以小学阶段基础认知、初中阶段工具应用、高中结算伦理创新为设计目标,通过解构主流教材绘制跨版本知识图谱,构建了分层递进式资源框架,开发了可裁剪功能模块。实践教学环节采用情境导学、编程实践、伦理思辨等方法,形成试点辐射、动态迭代机制。该路径以认知理论具象化、教育资源数字化及课程整合创新,有利于缓解有课程无资源的困境,对中小学教育环节中的AI科普资源通用化方案设计有一定的参考意义。
Abstract: In response to the structural challenges facing AI education in primary and secondary schools, such as gaps in teacher expertise, insufficient resource adaptation, and division of urban and rural conditions, this paper proposes an integrated three-pronged pathway of core knowledge graph, hierarchical resource package, and school-based practice. By deconstructing mainstream textbooks, it constructs a hierarchical and progressive resource framework of basic cognition at the primary school, tool application at the junior high school, and ethical innovation at the senior high school. Modular, customizable school-based components are also developed. The practical teaching adopts a stage-adapted design featuring situation-guided learning, programming practice, and ethical reflection, forming a mechanism of pilot promotion plus dynamic iteration. Based on the materialization of cognitive theory, the digitalization of educational equity, and the integration and innovation of courses, this approach helps alleviate the dilemma of having curricula without adequate resources. It offers valuable references for designing generalized AI literacy resource schemes in primary and secondary education.
文章引用:何静, 陈林宇, 李敏. 中小学人工智能科普资源数字化建设探索[J]. 创新教育研究, 2026, 14(6): 364-372. https://doi.org/10.12677/ces.2026.146438

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