Analysis on the Path of Design Specialty Promoting Rural Revitalization under the Mode of School-local Cooperation
- DOI
- 10.2991/978-94-6463-102-9_35How to use a DOI?
- Keywords
- School-place cooperation; Design major; Art to the countryside; Rural revitalization; Path analysis
- Abstract
With the smooth convening of the 19th National Congress of the Communist Party of China, China began to comprehensive power rural revitalization, under this background, the colleges and universities make active response, art and design professional into the countryside, make full use of advantages and professional art characteristics, higher art resources and speed up the rural resources penetrate each other, on the one hand, is to strengthen the aesthetic education work; on the other hand, is of great significance to rural revitalization. Therefore, this paper focuses on the design problems during the period of rural revitalization to carry out a comprehensive and in-depth study and analysis, proposed that school-local cooperation is an important way to help rural revitalization; Combined with the advantages of design specialty, the improvement measures and optimization schemes are put forward. From a long-term perspective, it has far-reaching practical significance.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Chunqin Yue PY - 2022 DA - 2022/12/29 TI - Analysis on the Path of Design Specialty Promoting Rural Revitalization under the Mode of School-local Cooperation BT - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022) PB - Atlantis Press SP - 319 EP - 326 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-102-9_35 DO - 10.2991/978-94-6463-102-9_35 ID - Yue2022 ER -