%0 Journal Article %T “人工智能赋能教育”的研究热点与发展趋势——基于CNKI核心期刊的文献计量分析
Research Hotspots and Development Trends of “Artificial Intelligence Enabling Education”—Bibliometric Analysis Based on CNKI Core Journals %A 张苗苗 %J Operations Research and Fuzziology %P 226-233 %@ 2163-1530 %D 2025 %I Hans Publishing %R 10.12677/orf.2025.151022 %X 基于我国学界对人工智能赋能教育教学的研究现状,分析当前研究的热点与未来趋势。以CNKI数据库中人工智能赋能教育教学领域的文献为研究对象,运用CiteSpace软件对文献进行可视化,从文献发表数量、基金分布、作者与机构合作、研究内容、研究热点、研究趋势六个方面,以文献计量的方法对可视化结果及文献主题进行分析与综述。技术的突飞猛进正将人工智能带入教育的每个领域,引发该领域前所未有的变革。借助大数据分析、生成式人工智能、自然语言处理等尖端技术,人工智能为我国教育的各个阶段提供了个性化的教育体验。
Based on the analysis of the current research status of the education and teaching of AI empowerment in Chinese academia, the current research hotspots and future trends are analyzed. Taking the literature in the field of artificial intelligence enabling education and teaching in CNKI database as the research object, CiteSpace software was used to visualize the literature, and the visualization results and literature topics were analyzed and summarized by bibliometrics from six aspects: the number of literature publications, fund distribution, author-institution cooperation, research content, research hotspots and research trends. Leaps and bounds in technology are bringing artificial intelligence to every area of education, triggering unprecedented changes in the field. With cutting-edge technologies such as big data analysis, generative artificial intelligence, and natural language processing, artificial intelligence provides a personalized educational experience for all stages of education in China. %K 人工智能, %K 教育, %K 文献计量学
Artificial Intelligence %K Education %K Bibliometrics %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=107057