Facing the static and unitary problem of teacher ability evaluation under the background of digital transformation of the hotel industry and the integration of industry and education of vocational education, this paper constructs a dynamic evaluation model of “double qualification” ability of hotel management teachers driven by algorithm optimization. Focusing on teaching transformation ability, industry practice ability, digital technology application ability, collaborative development ability and teaching-practice coupling relationship, this paper established a hierarchical evaluation index system, and designed multi-source heterogeneous data preprocessing, feature extraction, index relationship modeling, adaptive weight update and time series feature fusion methods to form a dynamic evaluation framework for teachers ‘ability. Experimental results show that the overall performance of the proposed model is better than that of the static weighted model, random forest model, LSTM model and TCN model. The Accuracy, F1-score and Stability reach 94.3%, 93.5% and 95.2% respectively, and the MAE and RMSE are reduced to 0.031 and 0.049 respectively. The dynamic evolution analysis showed that the comprehensive score of teachers’ “double qualification” increased from 0.667 to 0.806, and the teaching-practice coupling strength increased from 0.68 to 0.82. The research shows that the model can effectively identify the stage differences and evolution trajectories of the “double- qualification” ability of hotel management teachers, and provide technical support for teacher development diagnosis, school-enterprise collaborative training and digital evaluation of vocational education.
