Research on teaching reform of environmental design majors in colleges and universities based on the integration of rural revitalization into big data
The teaching reform of environmental art design majors is integrated into the rural revitalization strategy, which can best reflect the contemporary characteristics of education and teaching reform. This paper firstly explores and analyzes the significance of education reform of environmental art de...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
|
| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.00289 |
| _version_ | 1797340826892763136 |
|---|---|
| author | Xue Xiaomin Wei Feng Yang Wenxin Zhao Yijing |
| author_facet | Xue Xiaomin Wei Feng Yang Wenxin Zhao Yijing |
| author_sort | Xue Xiaomin |
| collection | DOAJ |
| description | The teaching reform of environmental art design majors is integrated into the rural revitalization strategy, which can best reflect the contemporary characteristics of education and teaching reform. This paper firstly explores and analyzes the significance of education reform of environmental art design majors in colleges and universities under the strategy of rural revitalization and proposes three teaching mode reform measures in combination with the current teaching situation. Secondly, studying the scheduling system based on genetic algorithm which is widely used at present, combines the characteristics of randomness and ergodicity of a chaotic system. Finally, the population diversity, crossover operation and variation operation are improved, thus forming a scheduling algorithm based on a chaotic genetic algorithm, which enables the most reasonable allocation of the existing teaching resources of university environmental design majors. The results show that the maximum running time of the genetic algorithm is 153t/s, which is much larger than the maximum running time of the chaotic genetic algorithm 57t/s. The minimum running time of the chaotic genetic algorithm is 19t/s, which is 23.14% smaller than that of the genetic algorithm. The reform measures proposed in this paper for integrating rural revitalization into teaching provide the optimal and reasonable allocation of teaching resources for the major and employment opportunities for environmental art design students. |
| first_indexed | 2024-03-08T10:08:59Z |
| format | Article |
| id | doaj.art-ac86ea746205417194c841782c40c78a |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:08:59Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-ac86ea746205417194c841782c40c78a2024-01-29T08:52:31ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00289Research on teaching reform of environmental design majors in colleges and universities based on the integration of rural revitalization into big dataXue Xiaomin0Wei Feng1Yang Wenxin2Zhao Yijing31School of Design, Fujian University of Technology, Fuzhou, Fujian, 350118, China.1School of Design, Fujian University of Technology, Fuzhou, Fujian, 350118, China.1School of Design, Fujian University of Technology, Fuzhou, Fujian, 350118, China.1School of Design, Fujian University of Technology, Fuzhou, Fujian, 350118, China.The teaching reform of environmental art design majors is integrated into the rural revitalization strategy, which can best reflect the contemporary characteristics of education and teaching reform. This paper firstly explores and analyzes the significance of education reform of environmental art design majors in colleges and universities under the strategy of rural revitalization and proposes three teaching mode reform measures in combination with the current teaching situation. Secondly, studying the scheduling system based on genetic algorithm which is widely used at present, combines the characteristics of randomness and ergodicity of a chaotic system. Finally, the population diversity, crossover operation and variation operation are improved, thus forming a scheduling algorithm based on a chaotic genetic algorithm, which enables the most reasonable allocation of the existing teaching resources of university environmental design majors. The results show that the maximum running time of the genetic algorithm is 153t/s, which is much larger than the maximum running time of the chaotic genetic algorithm 57t/s. The minimum running time of the chaotic genetic algorithm is 19t/s, which is 23.14% smaller than that of the genetic algorithm. The reform measures proposed in this paper for integrating rural revitalization into teaching provide the optimal and reasonable allocation of teaching resources for the major and employment opportunities for environmental art design students.https://doi.org/10.2478/amns.2023.2.00289rural revitalizationgenetic algorithmscheduling systemvariant operationchaotic system68m01 |
| spellingShingle | Xue Xiaomin Wei Feng Yang Wenxin Zhao Yijing Research on teaching reform of environmental design majors in colleges and universities based on the integration of rural revitalization into big data Applied Mathematics and Nonlinear Sciences rural revitalization genetic algorithm scheduling system variant operation chaotic system 68m01 |
| title | Research on teaching reform of environmental design majors in colleges and universities based on the integration of rural revitalization into big data |
| title_full | Research on teaching reform of environmental design majors in colleges and universities based on the integration of rural revitalization into big data |
| title_fullStr | Research on teaching reform of environmental design majors in colleges and universities based on the integration of rural revitalization into big data |
| title_full_unstemmed | Research on teaching reform of environmental design majors in colleges and universities based on the integration of rural revitalization into big data |
| title_short | Research on teaching reform of environmental design majors in colleges and universities based on the integration of rural revitalization into big data |
| title_sort | research on teaching reform of environmental design majors in colleges and universities based on the integration of rural revitalization into big data |
| topic | rural revitalization genetic algorithm scheduling system variant operation chaotic system 68m01 |
| url | https://doi.org/10.2478/amns.2023.2.00289 |
| work_keys_str_mv | AT xuexiaomin researchonteachingreformofenvironmentaldesignmajorsincollegesanduniversitiesbasedontheintegrationofruralrevitalizationintobigdata AT weifeng researchonteachingreformofenvironmentaldesignmajorsincollegesanduniversitiesbasedontheintegrationofruralrevitalizationintobigdata AT yangwenxin researchonteachingreformofenvironmentaldesignmajorsincollegesanduniversitiesbasedontheintegrationofruralrevitalizationintobigdata AT zhaoyijing researchonteachingreformofenvironmentaldesignmajorsincollegesanduniversitiesbasedontheintegrationofruralrevitalizationintobigdata |