A Study on the Role of Knowledge Mapping Technology in Constructing a Knowledge System for Student Management and Promoting Innovation in and Political Education

[1] Shi, D., Wang, T., Xing, H., & Xu, H. (2020). A learning path recommendation model based on a multidimensional knowledge graph framework for e-learning. Knowledge-Based Systems, 195, 105618. Search in Google Scholar

[2] Cantabella, M., Martínez-España, R., Ayuso, B., Yáñez, J. A., & Muñoz, A. (2019). Analysis of student behavior in learning management systems through a Big Data framework. Future Generation Computer Systems, 90, 262-272. Search in Google Scholar

[3] Wang, Y. (2021). Ideological and political teaching model using fuzzy analytic hierarchy process based on machine learning and artificial intelligence. Journal of Intelligent & Fuzzy Systems, 40(2), 3571-3583. Search in Google Scholar

[4] Nakagawa, H., Iwasawa, Y., & Matsuo, Y. (2019, October). Graph-based knowledge tracing: modeling student proficiency using graph neural network. In IEEE/WIC/ACM International Conference on Web Intelligence (pp. 156-163). Search in Google Scholar

[5] Feng, T. (2023). Research on the development path of internet ideological and political education based on deep learning. Soft Computing, 1-10. Search in Google Scholar

[6] Shao, K. (2023). Network learning path of university political education based on simulation data and sparse neural network. Soft Computing, 27(14), 9955-9965. Search in Google Scholar

[7] Chen, J., Xu, B., Zou, W., Yanchun, C., & Deqiang, Y. (2020). Design and research on big data’s smart ideological and political classroom in colleges and universities in the new era. DEStech Transactions on Materials Science Engineering, no. ameme. Search in Google Scholar

[8] Zhang, Y. (2020). Research on computer-aided ideological and political teaching based on constructivism. In Cyber Security Intelligence and Analytics (pp. 929-936). Springer International Publishing. Search in Google Scholar

[9] Ma, Y., Liu, B., Huang, W., & Dan, F. (2022, October). Knowledge graph based recommendation algorithm for educational resource. In Proceedings of the 14th International Conference on Education Technology and Computers (pp. 436-441). Search in Google Scholar

[10] Li, K., Jing, M., Tao, X., & Duan, Y. (2023). Research on online management system of network ideological and political education of college students. International Journal of Electrical Engineering & Education, 60(2_suppl), 377-388. Search in Google Scholar

[11] Zhang, J., Huang, J., Gao, J., Han, R., & Zhou, C. (2022). Knowledge graph embedding by logical-default attention graph convolution neural network for link prediction. Information Sciences, 593, 201-215. Search in Google Scholar

[12] He, L., Guo, H., Dong, Y., Wang, H., & Mei, Z. (2023, July). Research on the Application of Knowledge Graph in Big Data Analysis. In ICBBEM 2023: Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China (p. 95). European Alliance for Innovation. Search in Google Scholar

[13] Wang, S. (2017). Construction of mobile teaching platform for the ideological and political education course based on the multimedia technology. International Journal of Emerging Technologies in Learning, 12(9). Search in Google Scholar

[14] Li, Y., & Mao, H. (2022). Study on machine learning applications in ideological and political education under the background of big data. Scientific Programming, 2022(1), 3317876. Search in Google Scholar

[15] Zhu, G., Zhu, G., & Zhang, J. (2021). Computer Simulation of Ideological and Political Teaching under Big Data of Complexity. Complexity, 2021. Search in Google Scholar

[16] Yang, L., & Shi, Y. (2022). The Cultivation of Political Identity Literacy in Ideological and Political Classroom Based on IOT and Knowledge Map. Wireless Communications & Mobile Computing. Search in Google Scholar

[17] Abu-Salih, B., Al-Tawil, M., Aljarah, I., Faris, H., Wongthongtham, P., Chan, K. Y., & Beheshti, A. (2021). Relational learning analysis of social politics using knowledge graph embedding. Data Mining and Knowledge Discovery, 35(4), 1497-1536. Search in Google Scholar

[18] Jihong Chen, Xitao Zhang, Lang Xu & Jianghao Xu.(2024).Trends of digitalization, intelligence and greening of global shipping industry based on CiteSpace Knowledge Graph.Ocean and Coastal Management 107206-. Search in Google Scholar

[19] Bo Feng & Xiaoping Zhou.(2024).Energy-informed graph transformer model for solid mechanical analyses.Communications in Nonlinear Science and Numerical Simulation108103-. Search in Google Scholar

[20] Hengyou Wang, Kani Song, Xiang Jiang & Zhiquan He. (2024).ragBERT: Relationship-aligned and grammar-wise BERT model for image captioning.Image and Vision Computing105105-. Search in Google Scholar

[21] Yunong Zhang, Xiao Wei & Hang Yu. (2024). HD-LJP: A Hierarchical Dependency-based Legal Judgment Prediction Framework for Multi-task Learning.Knowledge-Based Systems112033-. Search in Google Scholar

[22] Lei Dong, Hongdong Wang & Jiankun Lou.(2024).A temporal prediction model for ship maneuvering motion based on multi-head attention mechanism.Ocean Engineering(P1),118464-. Search in Google Scholar

[23] Yu Junling.(2024).Online learning system for English speech automatic recognition based on hidden Markov model algorithm and conditional random field algorithm.Entertainment Computing100729-. Search in Google Scholar