Opportunities and Challenges of New Media Technology for Civic Education of College Students under the New Normal
The rapid development of new media has influenced the creation and dissemination of online social opinion, adding a new opportunity and challenge to universities. This paper studies the integration of new media technology and students’ ideological education in schools, and discusses the development...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.1.00250 |
| _version_ | 1797340861731700736 |
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| author | Zhang Cheng Shen Xiaoqin |
| author_facet | Zhang Cheng Shen Xiaoqin |
| author_sort | Zhang Cheng |
| collection | DOAJ |
| description | The rapid development of new media has influenced the creation and dissemination of online social opinion, adding a new opportunity and challenge to universities. This paper studies the integration of new media technology and students’ ideological education in schools, and discusses the development and challenges of new media in the application of students’ ideological education on campus. It integrates the characteristics of new media, builds an efficient ideological education service platform, gives full play to the advantages of excellent network technology, and deeply studies the development lines of ideological work in higher education institutions. The basic theory of gray correlation is applied to measure the deep gray correlation degree of each index, simplify the original evaluation index system system, and analyze the correlation coefficients of the research sample version by the logicality of deep gray correlation. The 15 research sample versions of indicators are used as the input values, and the relevant values are used as the derived values. Based on the practice of BP neural system network, a new evaluation index system system of media education ideas based on BP neural system network is summarized. A large-scale research was conducted on the application of new media service platform in higher education institutions. 82% of students said that this educational concept was effective and achieved the purpose of improving ideological educationv in higher education institutions. |
| first_indexed | 2024-03-08T10:09:32Z |
| format | Article |
| id | doaj.art-2c8b571294fd40038252999dc0cc6b2b |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:09:32Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-2c8b571294fd40038252999dc0cc6b2b2024-01-29T08:52:26ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.1.00250Opportunities and Challenges of New Media Technology for Civic Education of College Students under the New NormalZhang Cheng0Shen Xiaoqin11College of Pharmacy, Jiangsu Food, and Pharmaceutical Science College, Huaian, Jiangsu, 223001, China2Huaian Senior Vocational and Technical School, Teaching Supervision Office, Huaian, Jiangsu, 223001, ChinaThe rapid development of new media has influenced the creation and dissemination of online social opinion, adding a new opportunity and challenge to universities. This paper studies the integration of new media technology and students’ ideological education in schools, and discusses the development and challenges of new media in the application of students’ ideological education on campus. It integrates the characteristics of new media, builds an efficient ideological education service platform, gives full play to the advantages of excellent network technology, and deeply studies the development lines of ideological work in higher education institutions. The basic theory of gray correlation is applied to measure the deep gray correlation degree of each index, simplify the original evaluation index system system, and analyze the correlation coefficients of the research sample version by the logicality of deep gray correlation. The 15 research sample versions of indicators are used as the input values, and the relevant values are used as the derived values. Based on the practice of BP neural system network, a new evaluation index system system of media education ideas based on BP neural system network is summarized. A large-scale research was conducted on the application of new media service platform in higher education institutions. 82% of students said that this educational concept was effective and achieved the purpose of improving ideological educationv in higher education institutions.https://doi.org/10.2478/amns.2023.1.00250new media technologyideological and political educationbp neural networkgray correlation modelsample input68t05 |
| spellingShingle | Zhang Cheng Shen Xiaoqin Opportunities and Challenges of New Media Technology for Civic Education of College Students under the New Normal Applied Mathematics and Nonlinear Sciences new media technology ideological and political education bp neural network gray correlation model sample input 68t05 |
| title | Opportunities and Challenges of New Media Technology for Civic Education of College Students under the New Normal |
| title_full | Opportunities and Challenges of New Media Technology for Civic Education of College Students under the New Normal |
| title_fullStr | Opportunities and Challenges of New Media Technology for Civic Education of College Students under the New Normal |
| title_full_unstemmed | Opportunities and Challenges of New Media Technology for Civic Education of College Students under the New Normal |
| title_short | Opportunities and Challenges of New Media Technology for Civic Education of College Students under the New Normal |
| title_sort | opportunities and challenges of new media technology for civic education of college students under the new normal |
| topic | new media technology ideological and political education bp neural network gray correlation model sample input 68t05 |
| url | https://doi.org/10.2478/amns.2023.1.00250 |
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