Author(s)

Guangfeng Zheng ¹

Affiliation(s)

¹ Student Affairs Department, Guangdong Mechanical and Electrical Vocational and Technical College, Guangzhou, Guangdong, China

Corresponding Author

Guangfeng Zheng

ABSTRACT

With the development of the times, there is an increasing emphasis on Ideological and Political Education (IPE) for students. Good IPE can improve the quality of students, and enable them to become better citizens in the society. This paper studied the construction of IPE in universities based on intelligent digital education, which aimed to study whether intelligent digital education could improve the quality of IPE. This experiment selected a school that used intelligent digital education and a school that used traditional education. By comparing the results of the five classes of Mao Zedong Thought and the theoretical system of socialism with Chinese characteristics, the principles of Marxist philosophy, the situation and policy, ideological and moral cultivation and legal basis in the two schools, the role of intelligent digital education was highlighted. The scores of Mao Zedong Thought and the theoretical system of socialism with Chinese characteristics in the five classes using intelligent digital education were 86, 90, 92, 87, and 85 respectively. The scores of the five classes using intelligent digital education on the principles of Marxist philosophy were 79, 75, 73, 71, and 78 respectively. The situation and policy scores of the five classes using intelligent digital education were 70, 74, 79, 82, and 77. The scores of ideological and moral cultivation and legal basis of the five classes using intelligent digital education were 85, 90, 93, 88, and 92 respectively. Compared with the traditional IPE, these data had a good improvement in the test scores of students, which proved that intelligent digital education was really helpful for IPE in universities.

KEYWORDS

Ideology and Politics, Intelligent Digitization, Educational Construction, Artificial Intelligence

CITE THIS PAPER

Guangfeng Zheng, Construction of Ideological and Political Education in Universities Based on Intelligent Digital Education. Advances in Educational Technology and Psychology (2024) Vol. 8: 45-54. DOI: http://dx.doi.org/10.23977/aetp.2024.080106.

REFERENCES

[1] Wu J, Wang X. Research on the Mode of Specialized and Integrated Education in Colleges and Universities Based on the Perspective of Curriculum Ideology and Politics. International Journal of Education and Humanities, 2022, 3(1): 66-69.
[2] Ting L, Anping W. Research on the Construction Path of Ideological and Political Education for Postgraduates in the Era of Artificial Intelligence. Journal of Educational Theory and Management, 2021, 5(1): 14-18.
[3] Wu R, Xu J, Qian P. Situational inquiry method in the research teaching mode for ideological and political courses. Journal of Intelligent & Fuzzy Systems, 2021, 40(2): 3631-3642.
[4] Li S, Gao Y. Study on the Strategies of Innovating Ideological and Political Education at Universities under the “Internet+ Ideological” Education Model. Solid State Technology, 2021, 64(1): 547-554.
[5] Li M. Fragmentation of Internet Ideological and Political Education in the Work of Counselors. International Journal of Education and Humanities, 2022, 4(3): 204-205.
[6] Zhao J. Integrating Intangible Cultural Heritage into Ideological and Political Courses in Colleges and Universities. Journal of Contemporary Educational Research, 2021, 5(7): 40-44.
[7] Ying L, Xiaolei X, Yonghua Z. Thoughts on the Reform of Ideological and Political Teaching of “Tuina Manipulation”. Journal of Educational Theory and Management, 2020, 4(2): 46-50.
[8] Liu D, Zhang J. Research on Ideological and Political Education of Art Design Based on Visual Teaching. International Journal of Education and Humanities, 2023, 6(3): 102-104.
[9] Mugge P, Abbu H, Michaelis T L. Patterns of digitization: A practical guide to digital transformation. Research-Technology Management, 2020, 63(2): 27-35.
[10] Turel O, Matt C, Trenz M. Panel report: the dark side of the digitization of the individual. Internet research, 2019, 29(2): 274-288.
[11] Lichtenthaler U. Digitainability: the combined effects of the megatrends digitalization and sustainability. Journal of Innovation Management, 2021, 9(2): 64-80.
[12] Dharma F, Shabrina S, Noviana A. Prediction of Indonesian inflation rate using regression model based on genetic algorithms. Jurnal Online Informatika, 2020, 5(1): 45-52.
[13] Bradford E, Schweidtmann A M, Lapkin A. Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm. Journal of global optimization, 2018, 71(2): 407-438.
[14] Sun Y, Xue B, Zhang M. Automatically designing CNN architectures using the genetic algorithm for image classification. IEEE transactions on cybernetics, 2020, 50(9): 3840-3854.
[15] Shanmugasundaram N, Sushita K, Kumar S P. Genetic algorithm-based road network design for optimising the vehicle travel distance. International Journal of Vehicle Information and Communication Systems, 2019, 4(4): 344-354.

Sponsors, Associates, and Links

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• Curriculum and Teaching Methodology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education
  
  
• Adult and Higher Education