Volume 3,Issue 8
Exploration of Practical Teaching Bottlenecks and Collaborative Mechanisms in the “Great Ideological and Political Course”
In the complex context of deepening the reform of the “Great Ideological and Political Course”, practical teaching faces many problems such as scattered resources, insufficient collaboration, and single evaluation, which makes it increasingly difficult to achieve the goal of effectively improving student participation and value recognition. In order to solve such problems that have become bottlenecks in reality, this article innovatively constructs a platform system that integrates “on campus practice bases and off campus social resources” to implement linkage, and introduces a series of digital tools such as virtual simulation, learning behavior data collection, and big data analysis to implement refined management and detail control for the entire process of practical teaching. Through three modules: on campus thematic experience, off campus venue research, and virtual scenario simulation, students’ learning behavior, task completion, interaction frequency, and reflective text quality are all included in the dynamic monitoring scope of the entire process. Based on algorithm models, personalized learning portraits are generated to provide strong support for teaching iteration. The relevant results obtained from qualitative research fully demonstrate that the integration of on campus and off campus linkage and digital technology can greatly enhance the overall quality level of practical teaching in the “Great Ideological and Political Course”.
[1] Lv J, Liu W, Bai L, et al., 2024, Practical Research on the Integration of Ideological and Political Education into Mathematics Teaching in Higher Vocational Colleges. Advances in Vocational and Technical Education, 6(4): 161–165.
[2] Liu T, 2024, Approaches to Integrating Ideological and Political Education into Student Management in Colleges and Universities. Educational Innovation Research, 2(2): 103–108.
[3] Chen F, Chen Y, 2025, Research on the Construction and Practice of the Integration Model of Course-Based Ideological and Political Education and the “Six-Class Coordination” Approach. Social Sciences and Humanities, 1(3): 46–57.
[4] Li Z, Wang G, Yang R, et al., 2024, The Internal Logic of the Optimization of Ideological and Political Education in Colleges and Universities from the Perspective of “Three-Wide Education”. Academic Journal of Humanities & Social Sciences, 7(5): 12–19.
[5] Wang L, Xu K, Wan J, et al., 2024, Ideological and Political Teaching Practice in the Course of “Digital Signal Processing”. Signal and Information Processing, 2(1): 15–20.
[6] Zhou Y Y, 2025, Research on the Path of Ideological and Political Education in Professional Courses under the Background of Digitalization and Intelligence: A Case Study of “Design and Guidance of Science Popularization Drama Performance Activities”. Journal of Educational Technology and Innovation, 7(3): 35–43.
[7] Zhang W, 2025, From Cognitive Progression to Competency Integration: Digital Innovation for Integrated Value-Based Education—A Case Study of Digitally Driven Innovation in the Shanghai–Wanzhou Education Collaboration. Advances in Humanities and Modern Education Research, 1(3): 128–133.
[8] Yun G, Ravi R V, Jumani A K, 2023, Analysis of the Teaching Quality on Deep Learning-Based Innovative Ideological Political Education Platform. Progress in Artificial Intelligence, 12(2): 175–186.
[9] Heimans S, Biesta G, Takayama K, et al., 2023, ChatGPT, Subjectification, and the Purposes and Politics of Teacher Education and Its Scholarship. Asia-Pacific Journal of Teacher Education, 51(2): 105–112.
[10] Zhang B, Velmayil V, Sivakumar V, 2023, A Deep Learning Model for Innovative Evaluation of Ideological and Political Learning. Progress in Artificial Intelligence, 12(2): 119–131.
[11] Brehm W, 2023, Comparative Education as a Political Project. Comparative Education, 59(3): 362–378.