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Research on Innovative Methods for Ideological and Political Education in Higher Education Institutions in the Big Data Era

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DOI: 10.23977/aduhe.2023.051420 | Downloads: 14 | Views: 351

Author(s)

Liu Lian 1

Affiliation(s)

1 Zibo Vocational Institute, Zibo, Shandong, China

Corresponding Author

Liu Lian

ABSTRACT

In the new era, ideological and political education in universities must keep pace with the progress of the times by extending to the internet, expanding to the cloud, and deepening through data. Big data has three notable features: emphasis on correlations, value exploration, and trend prediction. Big data provides new opportunities, means, and avenues for innovative methods in ideological and political education at universities. However, the application of big data to innovate methods for ideological and political education in universities must address weak technological foundations, strict data barriers, and a shortage of specialized talent.

KEYWORDS

Era of big data, ideological and political education in universities, method innovation

CITE THIS PAPER

Liu Lian, Research on Innovative Methods for Ideological and Political Education in Higher Education Institutions in the Big Data Era. Adult and Higher Education (2023) Vol. 5: 107-111. DOI: http://dx.doi.org/10.23977/aduhe.2023.051420.

REFERENCES

[1] Fu Changyi. Big Data and Innovation in Ideological and Political Work. Southeast Military Academic Journal, 2015 (1): 75-76.
[2] Sun Yaojia. Research on Big Data and Ideological and Political Work. Journal of Xi'an Political Science Institute, 2015 (3): 52-54.
[3] Wang Rong, Meng Wei. Big Data and Ideological and Political Education. Journal of Naval University of Engineering, 2014 (3): 82-85.
[4] Ma Jianguang, Jiang Wei. Concept, Characteristics, and Applications of Big Data. National Defense Science and Technology, 2013 (2): 10-17.
[5] Wu Hequan. Big Data Thinking. Science and Society, 2014 (1): 1-13.

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