Author(s)

Huawei Wan ^1,2

Affiliation(s)

¹ School of Marxism, Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China
² School of Marxism, Hubei University of Technology, Wuhan, Hubei, 430068, China

Corresponding Author

Huawei Wan

ABSTRACT

The course of psychological ideological and political education (PE) is a compulsory course for higher education. However, in the process of implementing psychological ideological and political education, teachers' teaching methods are too rigid, teaching knowledge points are too monotonous, and students' learning and understanding level is low, leading to poor teaching conditions. In the current psychology and ideological and political classroom teaching in colleges and universities, the values of college students are seriously affected by the network culture, but also by the impetuous social environment. In the context of the continuous innovation of information technology, how to make psychological ideological and political education highly fit with information technology is an urgent problem in front of teaching workers. The experiment shows that for a long time, the attention of traditional psychological ideological and political teaching classroom activities is relatively low, and the school's attention to classroom activities is only 65%. Teachers only teach by infusion, but the classroom activity rate based on big data is as high as 96%. With the support of big data technology, psychological ideological and political education in colleges and universities can realize personalized, modern and interactive teaching. In the big data environment, colleges and universities should actively guide students to develop in a positive and healthy direction, promote college students to become adults, and achieve high-quality development of psychological ideological and political education.

KEYWORDS

Big Data, Psychological and Ideological Education, Teaching Reform, Vector Regression Machine Algorithm

CITE THIS PAPER

Huawei Wan, Exploration on Reform Path of Psychological Ideological and Political Teaching in Colleges and Universities under Background of Big Data. Transactions on Comparative Education (2025) Vol. 7: 133-142. DOI: http://dx.doi.org/10.23977/trance.2025.070118.

REFERENCES

[1] Wu X. Research on the Reform of Ideological and Political Teaching Evaluation Method of College English Course Based on "Online and Offline" Teaching[J]. Journal of Higher Education Research, 2022, 3(1):87-90.
[2] Zeng W, Zhong W, Liang Y. Teaching Reform of Courses for Ideological and Political education Based on Simulation Information Technology: Taking the Course Group of Engineering Valuation in Jiangxi Normal University for Example[J]. Asian Agricultural Research, 2020, 12(12):4-18.
[3] Yu D. On the Innovation of Ideological and Political education Mode in Colleges and Universities under the Computer Aided Technology[J]. Journal of Physics Conference Series, 2021, 1744(4):42-88.
[4] Lin J, Liu W. An optimal design analysis of ideological and political information teaching in colleges and universities based on the characteristics of modern media teaching[J]. Boletin Tecnico/Technical Bulletin, 2017, 55(18):489-496.
[5] Yang L, Xie C. Research on model of course scheduling system for ideological and political teaching in colleges and universities based on particle swarm optimization[J]. Revista de la Facultad de Ingenieria, 2017, 32(15):657-663.

Sponsors, Associates, and Links

---

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