Study on Returning Migrant Labors’ Education and Training Under the Guidance of “Internet Plus”
- DOI
- 10.2991/aebmr.k.220306.066How to use a DOI?
- Keywords
- Internet plus; Returning migrant labors; Education and training ecosystem; Rural revitalization
- Abstract
Internet Plus aims to achieve integration and innovation between internet and traditional industries through optimization of resources allocation. As one important industry, education and training possesses fatal importance for human capital’s employability under the guidance of industrial structure transformation and upgrading. It’s of urgent necessity to combine the above two factors in order to realize the transformation from human resources to human capital and to accelerate China’s human capital quality. This paper constructs the education and training ecosystem for returning migrant labors under the guidance of internet, which is composed of Internet + returning migrant labors, Internet + rural enterprises, and Internet + education and training institutions over the upgrading speed mismatching between science and technology and returning migrant labors’ employability. The result shows that the construction of returning migrant labors’ education and training ecosystem should depend on the promoting role of Internet, the main role of returning college students, the guiding role of rural enterprises, the jointing role of education and training institutions, and the supporting role of government and social resources.
- Copyright
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Xiuli Yang PY - 2022 DA - 2022/03/17 TI - Study on Returning Migrant Labors’ Education and Training Under the Guidance of “Internet Plus” BT - Proceedings of the 7th International Conference on Economy, Management, Law and Education (EMLE 2021) PB - Atlantis Press SP - 443 EP - 447 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.220306.066 DO - 10.2991/aebmr.k.220306.066 ID - Yang2022 ER -