智能传播人才培养的现状和进路  

Current Situation and Development Pathways of Intelligent Communication Talent Training

作　　者：王琼[1] 吴起 Wang Qiong;Wu Qi(Wuhan University)

机构地区：[1]武汉大学新闻与传播学院,湖北武汉430072

出　　处：《新闻与传播评论》2025年第2期76-87,共12页Journalism & Communication Review

基　　金：国家社会科学基金一般项目(20BXW030)。

摘　　要：研究提出智能传播人才的定义及能力要求,并对国内外57所高校的3976门课程进行分析,发现尽管现有课程体系的核心关键词为“数字”,但普遍缺乏数理和计算科学的基础支撑课程,人工智能相关课程几乎成为“孤岛”。智能传播教育需着力培养学生在传播实践中对数据和算法的敏锐感知,进而推动学生对人工智能技术的运用。研究认为应通过删减调整部分通识概论课程,开设专门人工智能课程,引入跨学科合作和交叉培养,因校制宜建设垂直方向专业和课程体系,引导学生树立正确的人工智能技术伦理观等措施,以塑造技术视野广阔、理论基础扎实的复合型人才。This study proposes a definition of intelligent communication talent and outlines the necessary competencies such talent should possess.Through an analysis of 3,976 courses across 57 universities both domestically and internationally,the research reveals that although the core keyword of the existing curriculum is“digital”,there is a widespread lack of foundational courses in mathematics and computational sciences.Artificial intelligence(AI)-related courses are almost isolated within the curriculum.Intelligent communication education should focus on cultivating students'keen perception of data and algorithms in communication practice,thereby enhancing their application of AI technologies.The study suggests revising and reducing certain general introductory courses,offering specialized AI courses,introducing mechanisms for interdisciplinary collaboration and cross-disciplinary training,developing vertical programs and curricula tailored to each institution,and cultivating student's proper ethical perctives on artificial intelligence technology.These measures aim to shape versatile talents with a broad perspective and a solid theoretical foundation.

关 键 词：智能传播 新闻传播教育 人才培养 学科建设 

分 类 号：G206[文化科学—传播学]