Open AccessResearch on the Innovation Path of Computer Big Data Driven News Communication Network Teaching
Author(s) -
Huan Chen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1648/2/022091
Subject(s) - big data , path (computing) , china , computer science , data science , path analysis (statistics) , political science , data mining , law , programming language , machine learning
The emergence of big data will drive profound changes in all aspects of society. In people’s lives, people’s behaviors, life trivia, theoretical research, etc. all rely on data, not people’s experience and experience; in education, students’ knowledge framework, chapter structure, etc. must be measured by data The editor of the book, rather than relying on the level of experience and qualifications of the teacher. The era of big data has put forward new requirements for journalists, such as rapidly mining "micro-values" in massive data and methods and capabilities for data calculation and modeling analysis. However, the current situation of China’s news communication education can not meet the demand of news talents in the data age and it is urgent to explore a new path to adapt to the development of the data age. This article briefly describes the research and analysis of the innovative path of computer big data driving news communication network teaching