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计算传播学视域下新闻传播学研究生数据能力培养研究

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新文科建设是我国人文社会科学领域的重要任务,而新闻传播学研究生教育作为其中的重要组成部分,面临着数据能力培养的迫切需求。当前,新闻传播学研究生教育多依赖传统研究的方法路径,缺乏真正的跨学科思维。而计算传播学采用计算分析的路径来研究社会问题,具有典型的"跨学科"特征,为新闻传播学发展提供了新范式和新路径。在计算传播学蓬勃发展背景下,提升新闻传播学研究生数据能力,需要明确何为数据能力、为何培养数据能力以及如何培养数据能力等关键问题,从而建立完备的数据能力培养体系,创新推动新闻传播学研究生科研能力和学术水平的完善与发展。
Research on the Cultivation of Data Competence for Graduate Students in Journalism and Communication from the Perspective of Computational Communication Studies
The construction of new liberal arts is an important task in the field of humanities and social sciences in China,and the education of graduate students in journalism and communication is an integral part of it,facing the urgent demand for the cultivation of data capabilities.At present,the education of graduate students in journalism and communication is path-dependent on traditional research methods and lacks a truly interdisciplinary thinking.Computational communication studies,which use computational techniques to study social issues,have typical"interdisciplinary"characteristics and provide new paradigms and new paths for the development of journalism and communication.Against the backdrop of the vigorous development of computational communication studies,enhancing the data capabilities of journalism and communication graduate students requires clarifying key issues such as what data capabilities are,why cultivate data capabilities,and how to cultivate data capabilities,thereby establishing a comprehensive system for cultivating data capabilities,and innovatively promoting the improvement and development of the research capabilities and academic level of graduate students in journalism and communication.

computational communication sciencesdata capabilitynew liberal artsjournalism and communication education

燕道成、吴涵

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湖南师范大学新闻与传播学院(长沙 410081)

计算传播学 数据能力 新文科 新闻传播教育

2024

当代教育论坛
湖南省教育科学研究院

当代教育论坛

CHSSCD北大核心
影响因子:0.921
ISSN:1671-8305
年,卷(期):2024.(6)