智媒时代下数字媒体人才培养的转型路径研究

• 영문명: Research on the Transformation Path of Digital Media Talents Training in the Age of Intelligent Media
• 발행기관: 대한중국학회
• 저자명: 贺 莹 (He Ying) 金昌庆 (Kim Chang Kyong) 任静 (Ren Jing)
• 간행물 정보: 『중국학(구중국어문론집)』中國學 第64輯, 257~265쪽, 전체 9쪽
• 주제분류: 인문학 > 기타인문학
• 파일형태: PDF
• 발행일자: 2018.09.30

국문 초록

本文结合当下新闻媒体智能化时代发展，首先，简要阐述了数字媒体人才培养必须转型的时代和环境背景。其次，探讨了高校数字媒体人才培育必须转型的必要性分析。再次，尝试在智媒视域下挖掘人才价值及重要作用。最后，从“复合+差异型”培养模式、“理论+实践型”培养模式、“科研拉动型”培养模式、“行业竞赛导向型”培养模式、“技术搭建导向型”培养模式、“国内+国外综合型”培养模式等方面提出高校数字媒体人才培养转型路径的对策与建议。

영문 초록

In an era of increasingly high integration of information technology and social life, the media is undergoing intelligent transformation and upgrading to meet the various intelligent needs of users in the future. In the future, the media wants to further seek development. It is necessary to carry out a corresponding path transformation for the backbone of media talents and journalists, and to promote the progress and development of the entire journalism through the transformation of the path of talent training in colleges and universities. Firstly, this article briefly expounds the era and environmental background that digital media talents training must be transformed. Secondly, it discusses the necessity analysis of the transformation of digital media talents in colleges and universities. Again, try to explore the value of talent and its important role in the vision of intellectual media. Finally, from the complex + differential training mode, theoretical + practical training mode, scientific research-oriented training mode, industry competition-oriented training mode, technical construction-oriented training mode, domestic + foreign comprehensive training mode and other aspects put forward the countermeasures and suggestions for the transformation path of digital media talents training in Colleges and universities.

목차

一、研究背景

二、高校数字媒体人才培育必须转型的必要性分析

三、智媒视域下人才价值的挖掘

四、高校数字媒体人才培养的转型路径分析

五、小结

【参考文献】

키워드

智能媒体 媒体 人才培养 转 型路径 Smart Media Digital Media Talents Training Necessity of Transformation Path Research