Research on quality evaluation of industry-education integration for rural vocational education in the perspective of rural revitalization with PL-MACONT method
Affiliations: [a]
Graduate School, Department of Education, Woosuk University, Wanju-Gun, Jeollabuk-do, South Korea
| [b]
School of Education, Hunan First Normal University, Changsha, Hunan, China
Correspondence:
[*]
Corresponding author. Huazai Chen, School of Education, Hunan First Normal University, Fenglin Road, Yuelu District, 410205, Changsha, Hunan, China. E-mail: [email protected].
Abstract: As one of the teaching models that promote the orderly development of vocational education in China, the integration of industry and education has been recognized by all sectors of society in China’s many years of practice. In recent years, with the strong advocacy of the education sector in China, its development speed has been rapidly improved. Rural vocational education in China has also actively implemented and innovated the teaching mode of integration of industry and education, which has trained more excellent talents for agricultural development in various regions. The quality evaluation of industry-education integration for rural vocational education in the perspective of rural revitalization is viewed as the multiple attribute group decision making (MAGDM). In this paper, the probabilistic linguistic Mixed Aggregation by Comprehensive Normalization Technique (PL-MACONT) method is built for MAGDM. At last, to verify the validity of the extended method, a numerical example to further account for quality evaluation of industry-education integration for rural vocational education in the perspective of rural revitalization is put into use.
Keywords: Multiple attribute group decision making (MAGDM), Probabilistic linguistic term sets (PLTSs), Mixed Aggregation by Comprehensive Normalization Technique (MACONT), entropy weight method (EWM), quality evaluation of industry-education integration
