The Integration and Development of Ideological and Political Education and Student Management in Universities Based on Data Fusion Models under the Background of Three Comprehensive Education
Mental health management of college students is a crucial aspect of college student management. To this end, this paper extracts the characteristic sequences of consumption behaviors, including the number of consumption per week, the number of times of use breakfast, the number of times of deviating...
| Main Authors: | , |
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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.2023.2.01237 |
| _version_ | 1797340620854919168 |
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| author | Feng Ranjun Zhang Lingyong |
| author_facet | Feng Ranjun Zhang Lingyong |
| author_sort | Feng Ranjun |
| collection | DOAJ |
| description | Mental health management of college students is a crucial aspect of college student management. To this end, this paper extracts the characteristic sequences of consumption behaviors, including the number of consumption per week, the number of times of use breakfast, the number of times of deviating from the normal time of using breakfast and the number of times fetching water from the daily consumption records of students. Then, the best model MLSTM-FCN is selected from the different existing time series classification models. Aiming at the problem that the FCN branch has a small sensory field and can only run in one direction in the network structure of the MLSTM-FCN two-branch splicing, it is proposed to use a Transformer to replace the FCN branch so as to put forward a Trans-LSTM students’ psychological abnormality early warning model based on the classification of time series. Model. According to the model comparison, the Trans-LSTM fusion model F1 has the highest mean value. The value is 0.8245. Finally, in the psychological intervention based on ideology and politics for students with psychological problems identified by the early warning model, the results show that the individual’s pressure t=8.163, df=6, p<0.001, and the social environment pressure t=9.872, df=6, p<0.001, indicating that the subject’s mental anomalies can be classified based on the time series. 0.001, indicating a significant difference between before and after the intervention for the subjects. |
| first_indexed | 2024-03-08T10:05:44Z |
| format | Article |
| id | doaj.art-7b6aa31e592748a0a60bbc47865486f9 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:05:44Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-7b6aa31e592748a0a60bbc47865486f92024-01-29T08:52:41ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01237The Integration and Development of Ideological and Political Education and Student Management in Universities Based on Data Fusion Models under the Background of Three Comprehensive EducationFeng Ranjun0Zhang Lingyong11Xinjiang Institute of Engineering, Urumqi, Xinjiang, 830000, China.1Xinjiang Institute of Engineering, Urumqi, Xinjiang, 830000, China.Mental health management of college students is a crucial aspect of college student management. To this end, this paper extracts the characteristic sequences of consumption behaviors, including the number of consumption per week, the number of times of use breakfast, the number of times of deviating from the normal time of using breakfast and the number of times fetching water from the daily consumption records of students. Then, the best model MLSTM-FCN is selected from the different existing time series classification models. Aiming at the problem that the FCN branch has a small sensory field and can only run in one direction in the network structure of the MLSTM-FCN two-branch splicing, it is proposed to use a Transformer to replace the FCN branch so as to put forward a Trans-LSTM students’ psychological abnormality early warning model based on the classification of time series. Model. According to the model comparison, the Trans-LSTM fusion model F1 has the highest mean value. The value is 0.8245. Finally, in the psychological intervention based on ideology and politics for students with psychological problems identified by the early warning model, the results show that the individual’s pressure t=8.163, df=6, p<0.001, and the social environment pressure t=9.872, df=6, p<0.001, indicating that the subject’s mental anomalies can be classified based on the time series. 0.001, indicating a significant difference between before and after the intervention for the subjects.https://doi.org/10.2478/amns.2023.2.01237mlstm-fcntransformertrans-lstmcivic educationmental health management97b60 |
| spellingShingle | Feng Ranjun Zhang Lingyong The Integration and Development of Ideological and Political Education and Student Management in Universities Based on Data Fusion Models under the Background of Three Comprehensive Education Applied Mathematics and Nonlinear Sciences mlstm-fcn transformer trans-lstm civic education mental health management 97b60 |
| title | The Integration and Development of Ideological and Political Education and Student Management in Universities Based on Data Fusion Models under the Background of Three Comprehensive Education |
| title_full | The Integration and Development of Ideological and Political Education and Student Management in Universities Based on Data Fusion Models under the Background of Three Comprehensive Education |
| title_fullStr | The Integration and Development of Ideological and Political Education and Student Management in Universities Based on Data Fusion Models under the Background of Three Comprehensive Education |
| title_full_unstemmed | The Integration and Development of Ideological and Political Education and Student Management in Universities Based on Data Fusion Models under the Background of Three Comprehensive Education |
| title_short | The Integration and Development of Ideological and Political Education and Student Management in Universities Based on Data Fusion Models under the Background of Three Comprehensive Education |
| title_sort | integration and development of ideological and political education and student management in universities based on data fusion models under the background of three comprehensive education |
| topic | mlstm-fcn transformer trans-lstm civic education mental health management 97b60 |
| url | https://doi.org/10.2478/amns.2023.2.01237 |
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