Innovation of Ideological and Political Education in Big Data Age
Abstract
The arrival of big data era has affected the logic and trend of social development. Big data broadens the coverage of education, highlights the subjectivity of students, and requires the data of teaching content. Big data enriches the teaching methods of ideological and political education, improves the pertinence of ideological and political education, improves the quality of ideological and political educators, and promotes ideological and political education.Big data’s core technology has been generally accepted by colleges and universities, and the application technology represented by Hadoop system has become a common tool for data mining and analysis of ideological and political education in colleges and universities. In the era of big data, we should pay attention to the innovation of data mining and data analysis.
Keywords
Full Text:
PDFReferences
Aiden, E. (2013). Big data and an emerging science of human history (p.56). Riverhead.
Liu, D. C. (2000). Between the truth and the good: Ethical problems and moral choices in the age of science (p.65). Beijing: China Social Sciences Press.
Marz, N. (2014). Big data: Principles and best practices of scalable real-time data systems (p.154). Auerbach.
Xi, J. P. (2017). Implementing the national big data strategy to accelerate the building of digital China. Guangming Daily, December 10, (01).
DOI: http://dx.doi.org/10.3968/12017
Refbacks
- There are currently no refbacks.
Copyright (c) 2021 Canadian Social Science
This work is licensed under a Creative Commons Attribution 4.0 International License.
Reminder
- How to do online submission to another Journal?
- If you have already registered in Journal A, then how can you submit another article to Journal B? It takes two steps to make it happen:
Submission Guidelines for Canadian Social Science
We are currently accepting submissions via email only. The registration and online submission functions have been disabled.
Please send your manuscripts to [email protected],or [email protected] for consideration. We look forward to receiving your work.
Articles published in Canadian Social Science are licensed under Creative Commons Attribution 4.0 (CC-BY).
Canadian Social Science Editorial Office
Address: 1020 Bouvier Street, Suite 400, Quebec City, Quebec, G2K 0K9, Canada.
Telephone: 1-514-558 6138
Website: Http://www.cscanada.net; Http://www.cscanada.org
E-mail:[email protected]; [email protected]
Copyright © Canadian Academy of Oriental and Occidental Culture