摘要
为了探讨生成式人工智能在教育领域的应用现状、发展趋势、面临挑战等,并为研究人员提供科学发展依据和参考,利用CiteSpace知识图谱分析工具,对2022至2024年间中国知网(CNKI)和Web of Science(WOS)数据库中关于生成式人工智能在教育领域应用的文献进行了系统梳理和对比分析。结果表明,国内外对生成式人工智能在教育领域的应用兴趣激增,国外在文献数量和增长速度上领先,并呈现紧密的合作网络。国内聚焦技术风险和数智技术,国外则侧重前沿技术探索及学术诚信。建议国内教育机构加强合作、深化研究内容、促进国际交流,并培育人工智能素养及伦理意识,以推动教育技术的健康发展和广泛应用。
In order to explore the application status,development trends,and challenges faced by Generative Artificial Intelligence in the education field,and to provide a scientific development basis and reference for researchers,the CiteSpace Knowledge Graph analysis tool is utilized to systematically sort out and conduct a comparative analysis of the literature on the application of Generative Artificial Intelligence in the education field from the CNKI and WOS database during the period from 2022 to 2024.The results show that there is a sharp increase in the interest in the application of Generative Artificial Intelligence in the education field of both at home and abroad.Overseas,there is a lead in the quantity of literature and the growth rate,and a close cooperation network is presented.Domestically,the focus is on technical risks and digital intelligence technologies,while overseas,the emphasis is on the exploration of cutting-edge technologies and academic integrity.It is recommended that domestic educational institutions strengthen cooperation,deepen the research content,promote international exchanges,and cultivate Artificial Intelligence literacy and ethical awareness so as to propel the healthy development and extensive application of educational technology.
作者
邵怡文
周亦鹏
SHAO Yiwen;ZHOU Yipeng(School of Computer and Artificial Intelligence,Beijing Technology and Business University,Beijing 100048,China)
出处
《现代信息科技》
2025年第6期135-141,共7页
Modern Information Technology
基金
2023年北京市社会科学基金项目(23GLB014)。
作者简介
邵怡文(2005-),女,汉族,山东菏泽人,本科在读,研究方向:生成式人工智能、教育数字化;通信作者:周亦鹏(1976-),男,汉族,山西太原人,副教授,博士,研究方向:跨媒体大数据、智能信息系统。
