體驗區
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| 篇名 |
人工智能教育现状如何？——中小学人工智能教育竞赛结果的证据回应
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| 並列篇名 |
What is the State of Artificial Intelligence Education? Evidence Response to the Results of AI Education Competition for Primary and Secondary Schools
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| 作者 |
顾小清(GU Xiaoqing)
、李睿(LI Rui)
、李世瑾(LI Shijin)
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| 中文摘要 |
把握人工智能教育现状，关乎人工智能教育应用能否持续有效地发展，而人工智能教育竞赛是观察人工智能教育发展现状的重要途径。基于此，本研究采用中小学人工智能教育竞赛测评模型，遵循公平公开、高影响力和可操作性原则，选取教育部认定的全国青年科普创新实验暨作品大赛、全国中学生信息学奥林匹克竞赛和全国青少年科技创新大赛三项竞赛活动结果作为数据来源，以地区、年份、学段为调节变量，系统考察我国中小学人工智能教育水平。研究发现，影响我国人工智能教育的因素包括传统学科教学和人工智能教育的差异、参与人员和活动机制的交互作用，以及区域组织与经费分配的叠加辐射。我国中小学人工智能教育的优化方向：均衡实践环境，构建多元的人工智能教育育人模式；重视区域活动，打造合理的人工智能教育实践场景；强化资源流通，建设优质的人工智能教育学习环境。
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| 英文摘要 |
Understanding of the current state of AI education is crucial to the sustainable and effective development of AI education applications. The AI education competition is an important way to understand the current situation of AI education especially in primary and secondary schools in China. To objectively reveal and depict the realistic level of AI education, the evaluation model of the artificial intelligence education competition in primary and secondary schools is adopted, following the selection principles of fairness and openness, high influence and operability. Three competitions identified by the Ministry of Education, the National Youth Science Popularization Innovation Experiment and Work Competition, the National Middle School Students' Informatics Olympic Competition, and the National Youth Science and Technology Innovation Competition, were selected as data sources. In addition, the region, year, and phase of studying were used as moderating variables to systematically investigate the level of AI education in primary and secondary schools in China. Through data quantification and attribution exploration, the study found that the level of AI education in primary and secondary schools in China is influenced by 1) the difference between traditional disciplines teaching and AI education, 2) the interaction of personnel participation and activity mechanisms, and 3) the superimposed radiation of regional organizations and funding allocation. Based on the research findings, this paper suggests the optimization directions of intelligent education in primary and secondary schools in China, which include establishing appropriate practice environments, building a diversified AI education model, emphasizing the importance to regional activity and creating a rationalized AI education practice scene, strengthening the circulation of resources for a high-quality AI education learning environment.
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| 頁次 |
082-091
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| 關鍵詞 |
人工智能教育
、实践现状
、人工智能教育竞赛
、证据库
、artificial intelligence education
、practice status
、AI education competition
、evidence base
、CSSCI
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| 卷期 |
29:6
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| 日期 |
202312
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| 刊名 |
開放教育研究
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| 出版單位 |
上海遠程教育集團、上海電視大學
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| DOI |
10.13966/j.cnki.kfjyyj.2023.06.009
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