Research on Evaluation System of Higher Vocational Foreign Language Teaching based on Machine Learning Model

The role of teaching evaluation system in higher vocational foreign language teaching is very important, but there is a problem of inaccurate outcome evaluation. The AHP teaching evaluation model cannot solve the problem of teaching evaluation system in higher vocational foreign language teaching, and the evaluation is unreasonable. Therefore, this paper proposes a machine learning model for the analysis of innovative teaching evaluation system. First of all, the education teaching theory is used to evaluate the foreign language teaching of teachers, and the indicators are divided according to the requirements of the teaching evaluation system and reduced Interference factors in the teaching evaluation system. Then, the education and teaching theory is based on the higher vocational foreign language teaching evaluation system, forming a teaching evaluation system program, and the results of the teaching evaluation system are carried out Comprehensive analysis. NATURE simulation shows that under certain evaluation criteria, the machine learning model outperforms the AHP teaching evaluation model in terms of accuracy and time of the teaching evaluation system for vocational foreign languages.