Optimization of Ideological and Political Education under the Epidemic via Mobile Learning Auxiliary Platform in the Era of Digitization
In the digitized era, life has become simpler with the increased information technology. The Education Department in the whole world is facing a tremendous revolution with the development. The traditional classroom study is converted to a modernized and digitized classroom with visualization. This m...
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| Vydáno v: | Wireless communications and mobile computing Ročník 2022; číslo 1 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Oxford
Hindawi
2022
John Wiley & Sons, Inc |
| Témata: | |
| ISSN: | 1530-8669, 1530-8677 |
| On-line přístup: | Získat plný text |
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| Abstract | In the digitized era, life has become simpler with the increased information technology. The Education Department in the whole world is facing a tremendous revolution with the development. The traditional classroom study is converted to a modernized and digitized classroom with visualization. This modernization has increased the learning capability of the students with an increase in student and teacher interaction. From this teaching and learning process, most colleges and universities have improved performance in preparing course materials, effective teaching, and independent learning among the students in the theoretical courses. Ideological and political education (IPE) is a theoretical subject that is taught and understood at higher education institutions, such as colleges and universities. A hybrid hierarchical K-means clustering for optimizing clustering with unsupervised machine learning is proposed to analyze the student performance and concluded that the proposed algorithm shows improved performance than the K-means algorithm. |
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| AbstractList | In the digitized era, life has become simpler with the increased information technology. The Education Department in the whole world is facing a tremendous revolution with the development. The traditional classroom study is converted to a modernized and digitized classroom with visualization. This modernization has increased the learning capability of the students with an increase in student and teacher interaction. From this teaching and learning process, most colleges and universities have improved performance in preparing course materials, effective teaching, and independent learning among the students in the theoretical courses. Ideological and political education (IPE) is a theoretical subject that is taught and understood at higher education institutions, such as colleges and universities. A hybrid hierarchical K-means clustering for optimizing clustering with unsupervised machine learning is proposed to analyze the student performance and concluded that the proposed algorithm shows improved performance than the K-means algorithm. |
| Author | He, Juan Zhang, Lizhe |
| Author_xml | – sequence: 1 givenname: Lizhe surname: Zhang fullname: Zhang, Lizhe organization: The Party School of Sichuan Provincial Committee of the Communist Party of ChinaChengduSichuan 510100China – sequence: 2 givenname: Juan orcidid: 0000-0002-9532-5064 surname: He fullname: He, Juan organization: School of International StudiesCollaborative Innovation Center for Security and Development of Western Frontier ChinaSichuan UniversityChengduSichuan 610065Chinascu.edu.cn |
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| Copyright | Copyright © 2022 Lizhe Zhang and Juan He. Copyright © 2022 Lizhe Zhang and Juan He. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| SubjectTerms | Algorithms Artificial intelligence Classrooms Cluster analysis Clustering College students Colleges & universities Data mining Design Digitization Distance learning Educational materials Educational technology Higher education Higher education institutions Ideology Internet Machine learning Modernization Online instruction Optimization Pneumonia Politics Students Teaching Vector quantization Wireless networks |
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| Title | Optimization of Ideological and Political Education under the Epidemic via Mobile Learning Auxiliary Platform in the Era of Digitization |
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