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

被引:0
作者
Shuang, Luoshuang [1 ]
Hang, Chu [1 ]
机构
[1] Hunan University of Technology, Hunan, Zhuzhou
关键词
BERT model; Civic; Knowledge mapping; political education; Student management; Transformer model;
D O I
10.2478/amns-2024-2364
中图分类号
学科分类号
摘要
Knowledge mapping, as an emerging information processing tool, is gradually becoming an indispensable part of education reform and plays an important role in education transformation. The study constructs a knowledge map based on student management + civic education according to the theory of student management and civic education, utilizing the Transformer model and BERT model, etc., and explores the effects of this knowledge map on student management and civic education after it is applied to colleges and universities, respectively. School A has 10 dimensions of teaching management, life management, academic management, social practice management, physical health management, and mental health management. The scores of 10 dimensions of digital management, facilities and resources, communication management, and satisfaction are all over 4.55, which is an excellent performance in student management. The correlation coefficients of the 10 dimensions of student management in School A are less than 0.01. Before the experiment, the levels of Civic and Political Literacy of the experimental group and the control group are similar, and there is no significant difference. After the experiment, the P-value of the dimensions of the Civic and Political literacy of the two groups of students is less than 0.05, and the Civic and Political literacy of the experimental group is significantly better than that of the control group. Knowledge mapping based on student management + Civic and political education has an obvious promotion effect on improving the level of student management and students’ Civic and political literacy. © 2024 Luoshuang Shuang and Chu Hang, published by Sciendo.
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  • [1] Shi D., Wang T., Xing H., Xu H., A learning path recommendation model based on a multidimensional knowledge graph framework for e-learning, Knowledge-Based Systems, 195, (2020)
  • [2] Cantabella M., Martinez-Espana R., Ayuso B., Yanez J.A., Munoz A., Analysis of student behavior in learning management systems through a Big Data framework, Future Generation Computer Systems, 90, pp. 262-272, (2019)
  • [3] Wang Y., Ideological and political teaching model using fuzzy analytic hierarchy process based on machine learning and artificial intelligence, Journal of Intelligent & Fuzzy Systems, 40, 2, pp. 3571-3583, (2021)
  • [4] Nakagawa H., Iwasawa Y., Matsuo Y., Graph-based knowledge tracing: modeling student proficiency using graph neural network, IEEE/WIC/ACM International Conference on Web Intelligence, pp. 156-163, (2019)
  • [5] Feng T., Research on the development path of internet ideological and political education based on deep learning, Soft Computing, pp. 1-10, (2023)
  • [6] Shao K., Network learning path of university political education based on simulation data and sparse neural network, Soft Computing, 27, 14, pp. 9955-9965, (2023)
  • [7] Chen J., Xu B., Zou W., Yanchun C., Deqiang Y., 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, (2020)
  • [8] Zhang Y., Research on computer-aided ideological and political teaching based on constructivism, Cyber Security Intelligence and Analytics, pp. 929-936, (2020)
  • [9] Ma Y., Liu B., Huang W., Dan F., Knowledge graph based recommendation algorithm for educational resource, Proceedings of the 14th International Conference on Education Technology and Computers, pp. 436-441, (2022)
  • [10] Li K., Jing M., Tao X., Duan Y., Research on online management system of network ideological and political education of college students, International Journal of Electrical Engineering & Education, 60, 2_suppl, pp. 377-388, (2023)