“人工智能+教育”研究现状、问题与趋势——基于核心期刊与CSSCI期刊文献的可视化分析

Yu Yan, Qing Li
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引用次数: 2

摘要

在中国,“AI +教育”的发展受到了社会各界的广泛关注。本文以2018年4月前核心期刊的“AI + Education”文献为基础,运用bicomb、Ucinet、SPSS三种文献分析工具,采用词频分析、共现分析等方法对这些文献进行可视化分析。分析发现,研究热点集中在五个领域,在此基础上,本研究总结了国内“AI +教育”研究存在的问题和未来发展趋势,为后续研究奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research Status, Problems and Trends of "AI Plus Education":Visual Analysis Based on Core Journals and CSSCI Journal Literature
In China, the development of "AI + Education" has received extensive attention from all walks of life. Based on the "AI + Education" literature in the core journals before April 2018, this paper uses three literature analysis tools—Bicomb, Ucinet and SPSS to visually analyze these literatures by the methods of word frequency analysis and co-occurrence analysis etc. The analysis found that the research hotspots focus on five areas, and on this basis, this study summarizes the existing problems and future development trends in the domestic "AI + Education" research, laying the foundation for the subsequent research.
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