
RETRACTED: Discussion on Optimization and Integration of Network Teaching Resources of College Ideological and Political Courses in the Era of Big Data
Author(s) -
Ting Jiang
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 - 10.1088/1742-6596/1616/1/012001
Subject(s) - big data , ideology , event (particle physics) , public relations , politics , period (music) , process (computing) , political science , sociology , computer science , data science , mathematics education , law , psychology , physics , quantum mechanics , acoustics , operating system
At the present, the information technology develops with high-speed, the advent of the period of big data allows people to analyse and handle various data generated in production and life, and discover the internal laws of event development based on these data. The operation of big data is helpful for us to grasp the development law of the event better, forecast and assess the future process current of the event. At the same time, the big data thinking mode helps us to get information and learn knowledge more deeply and quickly. If we apply the big data model at the area of college teaching, it will bring about tremendous changes to college education. Nowadays, the ideological and political education in Chinese colleges and universities still maintains traditional classroom education model. Recently, due to the epidemic situation, online education has gradually come into view. In the information age, online education will be the general trend, therefore, the usage of big data in high-school education will receive unprecedented attention. In the era of big data, university ideological and political education should up to date and fully reflect the features of the new age. In addition, we must integrate information technology into all aspects of the educational mechanism, organically combine data thinking with ideological and political education, and contribute to the development of my country’s university education. In this article, the author will discuss the optimization of network teaching resources of high-school ideological and political courses at the period of big data.