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STEM背景下人工智能素养框架的研究
A Study of Literacy Framework of Artificial Intelligence in STEM Context
【摘要】 中小学人工智能课程的研究处于兴盛阶段,人工智能素养框架为提高人工智能课程实施效果以及为培养智能时代所需高阶思维人才指明了方向,STEM跨学科环境可以深化人工智能素养的培养,优化学生学习体验,提高人工智能课程教学效果。文章首先分析了国内外人工智能素养框架和STEM素养框架的构建维度和关键要素;在此基础上,从核心概念、技术实践、跨学科思维与伦理态度四个维度构建了STEM背景下的人工智能素养框架并明确各维度的核心要素;提出指向人工智能素养培养的项目活动模型,从教学准备、教学实施及教学评价三个方面总结了项目活动模型的应用策略,为一线教师开展教学实践提供依据,以期促进人工智能课程的推广普及和人工智能素养培养的落地。
【Abstract】 The research on artificial intelligence curriculum in primary and secondary schools is in a flourishing stage. The literacy framework of artificial intelligence provides a direction for improving the implementation effect of artificial intelligence curriculum and cultivating the high-order thinking talents needed in the intelligent age. The STEM interdisciplinary environment can deepen the cultivation of artificial intelligence literacy, improve students’ learning experience, and improve the teaching effectiveness of artificial intelligence curriculum. This paper first analyzes the construction dimensions and key elements of artificial intelligence literacy frameworks and STEM literacy frameworks at home and abroad. On this basis, the framework of artificial intelligence literacy in STEM environment is constructed from four dimensions: core concepts, technical practices, interdisciplinary thinking and ethical attitudes,and the core elements of each dimension are well defined. A project activity model for the cultivation of artificial intelligence literacy is proposed, and the application strategies of the project activity model are summarized from three aspects: teaching preparation, teaching implementation and teaching evaluation,which can provide a basis for front-line teachers to carry out teaching practice, with a view to promoting the popularization of artificial intelligence curriculum and the implementation of artificial intelligence literacy cultivation.
【Key words】 Artificial Intelligence Literacy; STEM Education; Interdisciplinary Thinking; Project Activity Model;
- 【文献出处】 电化教育研究 ,e-Education Research , 编辑部邮箱 ,2022年04期
- 【分类号】G434
- 【被引频次】1
- 【下载频次】1953