Research on Practice Teaching Performance Evaluation Based on Intelligent Computing

Abstract

Implementing practice teaching performance evaluation is an effective way to enhance the high vocational education management, and how to evaluate practice teaching performance is one of the difficulties and hot research fields foe the researchers related. The paper presents a new evaluation indicator system and intelligent evaluation algorithm for evaluating practice teaching performance. First an evaluation indicator system of practice teaching performance is designed through analyzing the characteristics of university practice teaching. Secondly, immune genetic algorithm is used to improve BP algorithm to design a new intelligent computing algorithm for evaluating practice teaching performance. Thirdly datum from three universities are taken for examples to verify the feasibility of the presented algorithm and the experimental results show that the presented algorithm can evaluate practice teaching performance practically and can and guarantee the evaluation effectiveness and validity.