A teaching model of college ideological and political theory course based on multiuser detection algorithm
To prove that the hybrid teaching mode of ideological and political theory courses in colleges and universities is significantly helpful in improving the teaching effect of Civics and Political Science, this study builds a basic framework of the hybrid teaching mode of the course by using the smart...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.00617 |
| _version_ | 1797340735791431680 |
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| author | Man Haining |
| author_facet | Man Haining |
| author_sort | Man Haining |
| collection | DOAJ |
| description | To prove that the hybrid teaching mode of ideological and political theory courses in colleges and universities is significantly helpful in improving the teaching effect of Civics and Political Science, this study builds a basic framework of the hybrid teaching mode of the course by using the smart teaching platform starting from the accurate teaching mode of information technology. For the user tracking of the smart teaching platform, the gradient tracking multi-user detection algorithm based on the multi-step proposed Newton method is used to realize the user data analysis and the convergence analysis is conducted for the GDGP-MUD algorithm and MSQN-MUD algorithm. The results show that the maximum average response time is 460ms when the number of concurrent users of the smart teaching platform is 350-400. The average performance of the experimental class under the comparative analysis is 11.41 points higher than that of the control class. |
| first_indexed | 2024-03-08T10:07:36Z |
| format | Article |
| id | doaj.art-3de363ccf7b34ef188187625ade01456 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:07:36Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-3de363ccf7b34ef188187625ade014562024-01-29T08:52:34ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00617A teaching model of college ideological and political theory course based on multiuser detection algorithmMan Haining01School of Marxism, Shandong Industrial Vocational College, Zibo, Shandong, 256414, China.To prove that the hybrid teaching mode of ideological and political theory courses in colleges and universities is significantly helpful in improving the teaching effect of Civics and Political Science, this study builds a basic framework of the hybrid teaching mode of the course by using the smart teaching platform starting from the accurate teaching mode of information technology. For the user tracking of the smart teaching platform, the gradient tracking multi-user detection algorithm based on the multi-step proposed Newton method is used to realize the user data analysis and the convergence analysis is conducted for the GDGP-MUD algorithm and MSQN-MUD algorithm. The results show that the maximum average response time is 460ms when the number of concurrent users of the smart teaching platform is 350-400. The average performance of the experimental class under the comparative analysis is 11.41 points higher than that of the control class.https://doi.org/10.2478/amns.2023.2.00617smart teaching platformblended teachingmsqn-mud algorithmgradient tracking97d60 |
| spellingShingle | Man Haining A teaching model of college ideological and political theory course based on multiuser detection algorithm Applied Mathematics and Nonlinear Sciences smart teaching platform blended teaching msqn-mud algorithm gradient tracking 97d60 |
| title | A teaching model of college ideological and political theory course based on multiuser detection algorithm |
| title_full | A teaching model of college ideological and political theory course based on multiuser detection algorithm |
| title_fullStr | A teaching model of college ideological and political theory course based on multiuser detection algorithm |
| title_full_unstemmed | A teaching model of college ideological and political theory course based on multiuser detection algorithm |
| title_short | A teaching model of college ideological and political theory course based on multiuser detection algorithm |
| title_sort | teaching model of college ideological and political theory course based on multiuser detection algorithm |
| topic | smart teaching platform blended teaching msqn-mud algorithm gradient tracking 97d60 |
| url | https://doi.org/10.2478/amns.2023.2.00617 |
| work_keys_str_mv | AT manhaining ateachingmodelofcollegeideologicalandpoliticaltheorycoursebasedonmultiuserdetectionalgorithm AT manhaining teachingmodelofcollegeideologicalandpoliticaltheorycoursebasedonmultiuserdetectionalgorithm |