The Excellence Model and Enhancement Path of Competence of Ideological and Political Teachers in Colleges and Universities in the Context of Informatization

[1] Zhu, Y., & Zheng, L. (2021). Ideological and political teaching information management based on artificial intelligence and data security model. Journal of Intelligent and Fuzzy Systems(99), 1-11. Search in Google Scholar

[2] David Hortigüela-Alcalá, Antonio Calderón, & Gustavo González-Calvo. (2021). Transcultural impact of learning to teach sport education on preservice teachers’ perceived teaching competence, autonomy, and academic motivation. Journal of Teaching in Physical Education, 40(3), 1-11. Search in Google Scholar

[3] Shyr, W. J., Chen, C. H., Wang, Y. X., Chen, C. L., Chen, D. F., & Cheng, C. L. (2021). Establishing competence indicators to guide teaching automotive coating techniques. The international journal of engineering education(1), 37. Search in Google Scholar

[4] Jiao, Y., & Liu, Y. (2021). The teaching optimization algorithm mode of integrating mobile cloud teaching into ideological and political courses under the internet thinking mode. Scientific programming(Pt.13), 2021. Search in Google Scholar

[5] Jin, Y. L. (2021). Influencing factors of microlecture on the teaching effect of ideological and political courses in colleges. Wireless Communications and Mobile Computing. Search in Google Scholar

[6] Gao, B. (2022). Application of convolutional neural network in emotion recognition of ideological and political teachers in colleges and universities. Scientific Programming. Search in Google Scholar

[7] Zhu, G., Zhu, G., & Zhang, J. (2021). Computer simulation of ideological and political teaching under big data of complexity. Complexity, 2021(10), 1-13. Search in Google Scholar

[8] Honglan, L., & Wu, R. (2021). Study on problems and countermeasures of ideological and political teaching in colleges and universities under the background of new media era. Journal of Intelligent and Fuzzy Systems(1), 1-9. Search in Google Scholar

[9] Hongmei, W., & Songlin, T. (2021). Sentiment analysis of students in ideological and political teaching based on artificial intelligence and data mining. Journal of Intelligent and Fuzzy Systems(3), 1-10. Search in Google Scholar

[10] Zhou, J., Wei, Z., Jia, F., & Li, W. (2021). Course ideological and political teaching platform based on the fusion of multiple data and information in an intelligent environment. Journal of Sensors. Search in Google Scholar

[11] Yuanmeng. (2021). On practice and dilemma of artificial intelligence in collaborative teaching of the ideological and political theory course in colleges and universities. Journal of Intelligent and Fuzzy Systems(5), 1-12. Search in Google Scholar

[12] Sabahi, F., & Mohammad-R. Akbarzadeh–T. (2021). A human-intuitive fuzzy ranking approach with spread and skewness factors. Journal of Intelligent and Fuzzy Systems, 1-15. Search in Google Scholar

[13] Sahin, B., Yazir, D., Soylu, A., & Yip, T. L. (2021). Improved fuzzy ahp based game-theoretic model for shipyard selection. Ocean Engineering, 233(2), 109060. Search in Google Scholar

[14] Yang, F., Ding, X., Liu, Y., Ma, F., & Cao, J. (2022). Scalable semantic-enhanced supervised hashing for cross-modal retrieval. Knowledge-based systems. Search in Google Scholar