This paper addresses the bias of human influence on the weight of evaluation indices in assessing teachers' comprehensive literacy, particularly in environmental protection education.
It introduces a new evaluation model utilizing a hierarchical Bayesian beta-return model for more rational weight distribution of evaluation indicators.
Simulation results demonstrate that this model significantly enhances the accuracy of evaluating the comprehensive quality of environmental protection professional teachers.