摘要
人工智能正在重塑新闻生产与传播逻辑,也为地方高校数据新闻教育带来挑战与机遇。对福建省5所本科院校新闻传播专业师生的访谈显示,地方高校普遍存在实践资源匮乏、产教融合不足、课程更新滞后等问题,使数据新闻教育趋向轻量化。与此同时,人工智能在数据抓取、可视化和教学平台建设方面展现优势,为降低技术壁垒、拓展教学场景和优化课程体系提供了条件。未来,地方高校应立足在地资源,探索差异化课程建设,以推动数据新闻教育的系统化与智能化发展。
Artificial intelligence is reshaping the logic of news production and dissemination,and also bringing challenges and opportunities to data journalism education in local universities.Interviews with teachers and students majoring in journalism and communication at five undergraduate colleges in Fujian Province showed that local universities generally have problems such as a lack of practical resources,insufficient integration of industry and education,and lagging curriculum updates,which have led to a trend towards lightweight data journalism education.At the same time,artificial intelligence has demonstrated advantages in data capture,visualization,and teaching platform construction,providing conditions for reducing technological barriers,expanding teaching scenarios,and optimizing curriculum systems.In the future,local universities should focus on local resources and explore differentiated curriculum construction to promote the systematic and intelligent development of data journalism education.
作者
张维元
陈路遥
张晓萌
ZHANG Weiyuan;CHEN Luyao;ZHANG Xiaomeng(Longyan University,Longyan,Fujian 364000,China)
出处
《龙岩学院学报》
2025年第6期114-121,共8页
Journal of Longyan University
基金
福建省中青年教师教育科研项目(JAS23140)。
关键词
数据新闻
新闻教育
人工智能
地方高校
data journalism
journalism education
artificial intelligence
local universities
