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基于教育人工智能支持下的STEM跨学科融合模式研究 被引量:72

Research on STEM Interdisciplinary Integration Model Based on Educational Artificial Intelligence
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摘要 国外关于STEM教育的研究表明,STEM教育对于推动学科融合,促进学生能力的发展有重要作用。纵观国内外STEM教育的相关研究,不难发现,STEM教育的发展离不开技术的支持。如何利用新兴技术支持来推动STEM教育的发展,促进STEM跨学科之间的有效融合是本研究关注的重点。该文首先对STEM教育的内涵、形成阶段与特征进行了解析;其次,在阐释了教育人工智能概念的基础之上,论述了教育人工智能技术对STEM教育的支持;最后,在教育人工智能技术的支持下,构建了基于教育人工智能技术支持下的STEM跨学科融合模式,并从学习活动设计、教学环境设计、教学目标设计、教学内容设计和教学评价设计五个方面对该模式进行了阐释,以期能够更好地促进STEM跨学科之间的融合。 The research on STEM education abroad shows that STEM education plays an important role in promoting the integration of disciplines and promoting the development of students' ability. Looking at the domestic and international STEM education related research, it is not difficult to find that the development of STEM education is inseparable from the support of technology. How to use the support of new technology to promote the development of STEM education, and promote the effective integration of STEM interdiscipline is the focus of this study. This paper from the development stage and characteristics of different perspectives to the connotation, STEM education is analyzed; secondly, based on the interpretation of the concept of artificial intelligence education, discusses the educational technology of artificial intelligence support for STEM education; finally, the artificial intelligence technology in education support, construction of artificial intelligence technology supported STEM based on the interdisciplinary integration mode, and from the design of learning activities, learning environment design, the design of teaching goals, teaching design and teaching evaluation design in five aspects of the model are explained, in order to promote integration between interdisciplinary and better.
出处 《中国电化教育》 CSSCI 北大核心 2017年第8期46-52,共7页 China Educational Technology
基金 国家科技支撑计划子课题"区域互动教研与培训学分交互应用示范"(项目编号:2014BAH22F05)阶段性成果
关键词 教育人工智能 STEM教育 跨学科 模式 Educational Artificial Intelligence STEM Education Interdisciplinary Mode
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  • 1王海芳,李锋.人工智能应用于教育的新进展[J].现代教育技术,2008,18(S1):18-20. 被引量:26
  • 2张攀,王波,卿晓霞.专家系统中多种知识表示方法的集成应用[J].微型电脑应用,2004,20(6):4-5. 被引量:18
  • 3张剑平,王益.机器人教育:现状、问题与推进策略[J].中国电化教育,2006(12):65-68. 被引量:121
  • 4年志刚,梁式,麻芳兰,李尚平.知识表示方法研究与应用[J].计算机应用研究,2007,24(5):234-236. 被引量:61
  • 5秦炜炜.全球化时代美国教育的STEM战略[J].教育技术资讯,2007(10).
  • 6克里斯·安德森.创客:新工业革命[M].北京:中信出版社,2012,12.
  • 7Asghar, A. , Ellington,R. , Rice, E. , et al. (2012). Support- ing Stem Education in secondary science contexts [ J ]. Interdisciplinary Journal of Problem-based Learning, 6(2) : 4.
  • 8Bruning, R. H. , Schraw, J. G. , Norby, M. M. & Ronning, R. R. ( 2004 ) Cognitive psychology and instruction [ M ]. Columbus, OH : Pearson.
  • 9Byhee, R. W. (2010). Advancing STEM education: A 2020 version[ J:. Technology and Engineering Teacher, 70( 1 ) :30-35.
  • 10Frykholm J, Glasson G. (2005). Connecting science and mathe- matics instruction: pedagogical context knowledge for teachers [ J ]. School Science and Mathematics, 105(3): 127-141.

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