Abstract

Abstract This study delves into the training of rural teachers, a core element of rural education revitalization. Focusing on the training of oriented rural teacher trainees and their willingness to arrive, this paper adopts a combination of structural equation modeling and double-stranded quantum genetic algorithm to deepen the understanding of influence pathways. The method successfully obtains a broader range of feasible solutions by introducing different prior knowledge. In this study, the improved structural equation modeling (SEM) was applied among oriented teacher trainees of different grades in six universities in Jiangsu Province, parameter estimation tests were conducted through SmartPLS, key indicator variables were established and empirical data were obtained through research. The results showed that teachers’ professional identity significantly positively affected the attitude of performance arrival, with a critical ratio value of 3.3469 and a substantial value of the unstandardized coefficient (P<0.001). In addition, it was found that the performance-to-post attitudes of the oriented teacher trainees were positively influenced by the satisfaction with the rural teacher job offerings. This study provides an essential decision-making basis for constructing a good training environment for oriented teacher trainees, which is of great significance for promoting the revitalization of rural education.

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