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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
Li, B. (2019). Research on the construction path of the legalized teaching platform for college student management under the internet thinking. Basic & clinical pharmacology & toxicology.(S1), 125.Search in Google Scholar
Zhang, Y. (2019). Exploration of student management mechanism in higher vocational colleges under the coupling model of institutionalization and humanization. Basic & clinical pharmacology & toxicology.(S2), 125.Search in Google Scholar
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
Rong, L. (2021). Design of ideological and political multimedia network teaching resources integration system based on wireless network. Scientific Programming.Search in Google Scholar
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
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
Wang, Z. C. G. (2015). Investigation of the effective combined method of ideological, political education and psychological health education. International Journal of Technology, Management.Search in Google Scholar
Luo, S. (2022). Construction of situational teaching mode in ideological and political classroom based on digital twin technology. Computers and Electrical Engineering, 101.Search in Google Scholar
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
Xia, T., & Ahmad, M. T. (2022). Method of ideological and political teaching resources in universities based on school-enterprise cooperation mode. Mathematical Problems in Engineering, 2022.Search in Google Scholar
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
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
Hong, N., Wang, X., & Wang, Z. (2021). Abnormal access behavior detection of ideological and political moocs in colleges and universities. Mobile Information Systems.Search in Google Scholar
Rueda, L., Benitez, J., & Braojos, J. (2017). From traditional education technologies to student satisfaction in management education: a theory of the role of social media applications. Information & Management, 54(8), 1059-1071.Search in Google Scholar
Yanyan, J. (2017). The research of the information construction of international students management— —under the background of “the belt and road”. Journal of Higher Education.Search in Google Scholar
Li, Y. (2021). Application of intelligent sensor algorithm in student management information fusion. Scientific programming(Pt.14), 2021.Search in Google Scholar
Sylvia, Louisa G.Bui, EricChudnofsky, RanaLakin, LauraMcCarthy, Megan D.Gupta, Carina T.Furbish, KaylaMehta, Darshan H.Denninger, John W.Park, Elyse R.Fricchione, Gregory L.Spencer, Thomas J. (2020). A pilot study of a mind-body stress management program for student veterans. Complementary therapies in clinical practice, 40(1).Search in Google Scholar
Ning, N. (2016). Research on the higher vocational student status management under the perspective of procedural justice. International Journal of Technology, Management.Search in Google Scholar
Gholami, H., Saman, M. Z. M., Sharif, S., Zakuan, N., Abu, F., & Awang, S. R. (2018). Critical success factors of student relationship management. Sustainability, 10(12).Search in Google Scholar
Chen, W., Samuel, R. D. J., & Krishnamoorthy, S. (2021). Computer vision for dynamic student data management in higher education platform. Journal of multiple-valued logic and soft computing(1/3), 36.Search in Google Scholar
Gholami, H., Zakuan, N., Saman, M. Z. M., Sharif, S., & Kohar, U. H. A. (2020). Conceptualizing and operationalizing the student relationship management strategy: towards a more sustainable-based platform. Journal of Cleaner Production, 244, 118707.Search in Google Scholar
Yin, X. H. (2021). Construction of student information management system based on data mining and clustering algorithm. Complexity, 2021(2), 1-11.Search in Google Scholar
Ozek, M. B. (2018). The effects of merging student emotion recognition with learning management systems on learners’ motivation and academic achievements. Computer applications in engineering education, 26(5), 1862-1872.Search in Google Scholar
Moodi, F., & Saadatfar, H. (2022). An improved k-means algorithm for big data. IET Software, 16(1).Search in Google Scholar
Xie, Q., Wang, X., Sun, H., Zhang, Y., & Lu, X. (2021). Ecg signal detection and classification of heart rhythm diseases based on resnet and lstm. Advances in Mathematical Physics, 2021.Search in Google Scholar
Wang, H., Zhang, Y., Liu, W., Gu, X., & Liu, Z. (2021). A novel gcn-based point cloud classification model robust to pose variances. Pattern Recognition(19), 108251.Search in Google Scholar
Zhan, D., Liang, D., Jin, H., & Wu, X. (2022). Mbbos-gcn: minimum bounding box over-segmentation-graph convolution 3d point cloud deep learning model. Journal of Applied Remote Sensing(1), 16.Search in Google Scholar