Research on the training model of vocational education under the interface between technological progress and the housing industry

Abstract

The new round of scientific and technological revolution and industrial change are profoundly reshaping the global economic landscape, and cutting-edge technologies such as artificial intelligence, big data, and Internet of Things are accelerating the penetration of traditional industries. The housing industry, as an important pillar of the national economy, is experiencing a critical period of transformation from traditional construction methods to intelligent, green and industrialized. In order to explore the optimization path of vocational education training mode under the interface of scientific and technological progress and housing industry, this study carries out a systematic analysis of the influencing factors of talent training based on the DEMATEL-ISM-MICMAC model and Bayesian network evaluation model. The study constructed an evaluation system containing a total of 15 influencing factors at three levels of multi-faceted policy, multi-dimensional environment and multi-dimensional innovation, and obtained data and conducted empirical analysis through expert survey method. The results show that: the centrality of participation in innovation enthusiasm, scientific research and innovation ability, and local government expenditure on vocational education rank in the top three respectively, of which the centrality of participation in innovation enthusiasm reaches 16.752; 55% of the probability of input-output performance of vocational education training mode is at a high level, and 58% of the probability of talent cultivation level is at a high level; the sensitivity analysis reveals that the sensitivity of researchers' full-time equivalence is the highest up to 15.45; Bayesian network analysis found that the probability of the growth rate of talent cultivation output can reach 0.585 when the growth level of school dormitory area is high. The study provides theoretical support and practical guidance for constructing a vocational education cultivation model adapted to the needs of scientific and technological progress and the development of the housing industry.