人工智能时代的新闻传播教育:驱动逻辑、自我调适与潜在问题  

Journalism and Communication Education in the Age of Artificial Intelligence:Driving Logic,Adaptation and Potential Issues

作　　者：郭毅 龚逐流 Yi Guo;Zhuliu Gong

机构地区：[1]重庆大学新闻学院

出　　处：《新媒体与社会》2024年第2期125-134,M0010,共11页New Media and Society

基　　金：国家社科基金项目“百年变局背景下中国对美战略传播转型及路径创新研究”(项目编号:22CXW008);重庆市研究生教育教学改革研究项目“基于国际传播能力培养的新闻传播学研究生《专业英语》教学创新模式探索”(项目编号:YJG233018);重庆大学研究生教育教学改革研究项目“基于卓越新闻传播人才培养的新闻传播学研究生《专业英语》教学创新模式探索”(项目编号:CQUYJG21310)。

摘　　要：新闻传播教育积极回应人工智能技术发展,既是对新闻传播实践领域变革的被动反应,也是教育智能化理念驱使下的主动求变,更是履行振导社会责任的积极表现。近年来国内外一些高校围绕人工智能时代的新闻传播教育改革开展了自我调适,进行了有益探索,但教学内容滞后于人工智能技术发展仍是难以破解的问题。此外,在人工智能教育融入新闻传播教育的过程中,还可能存在过分强调人工智能技术教学导致教育“降维”和人工智能工具依赖削弱学生创新能力的潜在风险和问题。The field of journalism and communication education has been actively responding to the advancements in artificial intelligence technology.This response is not just a passive reaction to changes in the practices of journalism and communication but also an active pursuit of transformation driven by the concept of educational intelligence.This proactive performance of social responsibilities has led to beneficial explorations in some domestic and international universities that have engaged in self-adaptation concerning educational reforms in journalism and communication in the AI era.However,the issue of educational content lagging behind the advancements in AI technology remains a challenging problem to solve.Furthermore,it is crucial to avoid potential risks that may arise during the integration of AI education into journalism and communication education.There is a risk of overly emphasizing AI technology teaching,which may lead to“downgrading”education and weakening students'capacity for innovation due to over-reliance on AI tools.

关 键 词：人工智能 新闻教育 技术风险 

分 类 号：G210-4[文化科学—新闻学] G642