Education, Science, Technology, Innovation and Life
Open Access
Sign In

Problems and Coping Strategies of Ideological And Political Education in Colleges and Universities under the Threshold of Big Data

Download as PDF

DOI: 10.23977/aduhe.2022.040902 | Downloads: 10 | Views: 662

Author(s)

Pengfei Song 1, Dan Wang 2

Affiliation(s)

1 School of Information Science and Technology/School of Cyber Security, Guangdong University of Foreign Studies, Guangzhou, Guangdong, 510000, China
2 South China University of Technology School of Medicine, Guangzhou, Guangdong, 510000, China

Corresponding Author

Pengfei Song

ABSTRACT

In the era of big data(BD), the rapid development of digital information technology inevitably causes profound changes in education mode. Informationization of education is inevitable, which is also the inevitable requirement for the reform and development of ideological and political education(IAPE) in new colleges and universities. How to use big data to combine IAPE of students with computer science has become a new urgent problem. The purpose of this paper is to study the problems and countermeasures of IAPE in colleges and universities from the perspective of BD. This paper focuses on exploring and analyzing the problems in the IAPE of college students, and discussing the causes of these problems in depth, and formulating corresponding strategies according to the actual situation and the causes of the problems. This paper uses system data analysis, system environment analysis and system management analysis to diagnose the problems, reveal the causes of the problems and effectively propose solutions. This paper analyzes the current problems and causes and proposes targeted and practical countermeasures on the basis of an objective summary of the achievements of IAPE in colleges and universities during the use of the Internet. The experimental results show that the proportion of students among the construction personnel of IAPE under BD in colleges and universities is more than 50%, which indicates that there is a certain degree of combination between IAPE of college students and BD in colleges and universities, and there is still room for improvement.

KEYWORDS

Big Data, Colleges and Universities, Ideological and Political Education, Problems and Countermeasures

CITE THIS PAPER

Pengfei Song, Dan Wang, Problems and Coping Strategies of Ideological And Political Education in Colleges and Universities under the Threshold of Big Data. Adult and Higher Education (2022) Vol. 4: 5-11. DOI: http://dx.doi.org/10.23977/aduhe.2022.040902.

REFERENCES

[1] Yan X. Research on BD and the Development of IAP Education in CAU in China [J].Education Study, 2019,1(2):56-71.
[2] Xu B, Li N. Research on the application of computer technology in the construction and management of "double qualification" teachers in undergraduate CAU under the background of combination of production and education[J]. Journal of Physics: Conference Series, 2021, 1744(3):032044 (5pp).
[3] Huda M , Maseleno A , Shahrill M , et al. Exploring Adaptive Teaching Competencies in BD Era[J]. International Journal of Emerging Technologies in Learning, 2017, 12(3):68-83.
[4] Grisham W, Brumberg J C, Gilbert T, et al. Teaching with BD: Report from the 2016 Society for Neuroscience Teaching Workshop[J]. Journal of Undergraduate Neuroscience Education, 2017, 16(1):A68-A76.
[5] Jagodzinski, jan. The Precarious Future of Education || BD and Learning Analytics: The "New" Teaching Machine[J]. 2017, 10.1057/978-1-137-48691-2(Chapter 7):159-175.
[6] Li L , Geissinger J , Ingram W A , et al. Teaching Natural Language Processing through BD Text Summarization with Problem-Based Learning[J]. Data and Information Management, 2020, 4(1):18-43.
[7] Ni C, Wang L. The Application of User Portrait Based on BD Analysis in Industrial Design Teaching[J]. E3S Web of Conferences, 2020, 179(3):02110.
[8] Diao S. The Reform of Teaching Management Mode Based on Artificial Intelligence in the Era of BD[J]. Journal of Physics: Conference Series, 2020, 1533(4):042050 (7pp).
[9] Zhen C. Using BD Fuzzy K-Means Clustering and Information Fusion Algorithm in English Teaching Ability Evaluation[J]. Complexity, 2021, 2021(5):1-9.
[10] Liu F, Zhang Q. A New Reciprocal Teaching Approach for Information Literacy Education under the Background of BD[J]. International Journal of Emerging Technologies in Learning (iJET), 2021, 16(3):246.

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.