Reform and Innovation of Civic and Political Education Based on Deep Enhanced Learning Methods

[1] Zeng, J. (2019). Reform and innovation of physical education in colleges and universities from the perspective of healthy china. Advances in Higher Education, 3(2), 18. Search in Google Scholar

[2] Yinxiang, Z. (2017). Efficiency of public opinion in social network in the ideological and political education of college students. Agro Food Industry Hi Tech, 28(1), 693-696. Search in Google Scholar

[3] Du, Y. (2017). The development of ideological and political education information platform based on web technology. C e Ca, 42(4), 1530-1536. Search in Google Scholar

[4] Xu, S. (2016). Research on ideological and political education of southwest petroleum university students in micro blog era. Creative Education, 07(2), 287-292. Search in Google Scholar

[5] Zhang, M., & Zhan, Y. (2020). Research on the innovation of college english teaching based on curriculum thinking. International Journal of Electrical Engineering Education, 002072092093144. Search in Google Scholar

[6] Guo, H. (2021). Research on the influence of university education system reform on college students’ innovation ability. International Journal of Electrical Engineering Education, 002072092110020. Search in Google Scholar

[7] Fang, Z. (2018). Analysis of the class system reform and innovation form of the public physical health curriculum in higher education institutions. International Journal for Engineering Modelling, 31(1), 365-371. Search in Google Scholar

[8] Huang, N. (2020). Discussion on ideological and political education in pathology education in medical colleges. Advances in Higher Education, 4(10). Search in Google Scholar

[9] Song, B., & Qiu, R. (2020). The influence of digital virtual technology on contemporary college students’ ideological and political education. IEEE Access, PP(99), 1-1. Search in Google Scholar

[10] Gao, H. W. (2021). Innovation and development of ideological and political education in colleges and universities in the network era. International Journal of Electrical Engineering Education, 002072092110134. Search in Google Scholar

[11] Li, K., Jing, M., Tao, X., & Duan, Y. (2021). Research on online management system of network ideological and political education of college students. International Journal of Electrical Engineering Education, 002072092098370. Search in Google Scholar

[12] Su, R. (2017). Evaluation-model-based research on the combination of internet platforms with the ideological and political education in colleges and universities. Revista de la Facultad de Ingenieria, 32(13), 681-686. Search in Google Scholar

[13] Qiao, S., & Zhang, Y. (2017). Research on the interaction path between ideological and political education and sports associations based on fuzzy evaluation theory. Revista de la Facultad de Ingenieria, 32(11), 752-758. Search in Google Scholar

[14] Zhao, L. (2023). Research on the reform of civic science teaching in music course under the concept of obe talent cultivation. Region - Educational Research and Reviews, 5(1), 31-35. Search in Google Scholar

[15] Li, W. (2021). Reform and innovation of higher fine arts distance education under the background of big data. Journal of Physics: Conference Series, 1852(3), 032026 (6pp). Search in Google Scholar

[16] Wang, K. (2017). Research on multi-dimensional ideological and political education of college students based on computer platform. Revista de la Facultad de Ingenieria, 32(8), 447-454. Search in Google Scholar

[17] Zhang, A., & Liu, F. (2017). Research on the computer-based multi-dimensional ideological and political education of college students. Revista de la Facultad de Ingenieria, 32(8), 303-310. Search in Google Scholar

[18] Li, Q., Wu, M., & Han, L. (2017). Multidimensional ideological and political education of college students based on the computer platform. Agro Food Industry Hi Tech, 28(1), 871-875. Search in Google Scholar

[19] Zhang, J., Li, Y., Wu, Z., Rong, C., Wang, T., & Zhang, Z., et al. (2021). Deep-reinforcement-learning- based two-timescale voltage control for distribution systems. Energies, 14. Search in Google Scholar

[20] Chi, C., Ji, K., Song, P., Marahatta, A., Zhang, S., & Zhang, F., et al. (2021). Cooperatively improving data center energy efficiency based on multi-agent deep reinforcement learning. Energies(8). Search in Google Scholar