节点文献
我国基础教育中人工智能课程研究现状的可视化分析
Visual Analysis of the Research Status of Artificial Intelligence Curriculum in Basic Education in China
【摘要】 为了解目前我国基础教育中人工智能课程的研究现状,利用Bicomb、Ucinet、SPSS26.0对中国知网上与基础教育人工智能课程相关的175篇文献进行了共词分析,发现目前基础教育人工智能课程的研究热点主要集中于人工智能课程的课程建设、人工智能课程的教学策略、人工智能课程的教学实践三个方面。未来人工智能课程的研究要关注以下三方面:人工智能教育理论的丰富与完善,人工智能课程建设的优化与普及以及人工智能教育平台的开发与应用。
【Abstract】 In order to understand the current research status of artificial intelligence courses in basic education in China, this paper uses Bicomb, Ucinet and spss26.0 to analyze 175 articles related to artificial intelligence courses in basic education on the China knowledge network. It is found that the current research hotspots of artificial intelligence courses in basic education mainly focus on the course construction of artificial intelligence courses, the teaching strategies of artificial intelligence courses and the teaching practice of artificial intelligence courses. The future research on artificial intelligence courses should focus on the following three aspects: the enrichment and improvement of artificial intelligence education theory, the optimization and popularization of artificial intelligence course construction, and the development and application of artificial intelligence education platform.
【Key words】 artificial intelligence; elementary education; visualization; knowledge map;
- 【文献出处】 现代计算机 ,Modern Computer , 编辑部邮箱 ,2022年18期
- 【分类号】G633.67;G353.1
- 【下载频次】110