Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

November 29, 2024


Pages


DOI

Article

Research on the Methods of Great Spirit Inheritance in Intelligent Teaching of Civics and Political Science Courses in Colleges and Universities

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Authors

Xiaohua Yang Affiliation:
Shanghai University of Engineering Science, Marxist Academy, Shanghai, 201101, China


Abstract

The Great Spirit is the embodiment of the values of the Chinese people, as well as the valuable spiritual wealth of the Chinese people. In this paper, through word similarity and concept matching algorithms, we extracted the association between the knowledge in the Civic and Political Education Resources, and with the help of an intelligent push system, we pushed the related resources for the learners in the process of knowledge construction, which helped the learners to understand the knowledge and actively construct the knowledge structure. Testing the intelligent push system of ideological and political resources in colleges and universities, the application side of the system does not require high performance of mobile devices, and it can run smoothly on the user’s mobile device. In the teaching environment, the intelligent push system can significantly improve the learning effect of students (p=0.982, p<0.05). At the same time, it was found that the application of the intelligent push system can promote the ideological inheritance of the Great Spirit among college students, manifest the appeal of the Great Idea, improve the radiant influence of the Great Spirit ideology, and coalesce the centripetal force of the Great Culture.


Keywords

Word similarity, Concept matching algorithm, Knowledge structure, Intelligent push, Ideological resources., 68T05


Citation

Yang, X. (2024). Research on the methods of great spirit inheritance in intelligent teaching of civics and political science courses in colleges and universities. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-3678

Published by: Engineering Journals

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