Research on the construction of the evaluation index system of teacher morality in universities under the background of big data

Abstract

This paper constructs the evaluation index system of university teachers’ ethics from the hierarchical structure diagram of the evaluation system. In order to reduce the subjective feelings of the evaluators, a genetic algorithm is introduced to optimize the consistency test of the weights of the hierarchical analysis method. Taking ten colleges and universities in GD province as examples, the GAOHP-AHP model was used to calculate the index weights and then obtain the comprehensive evaluation scores of teacher ethics and teacher morality of each college and university. The results showed that the evaluation scores of ten universities were 3.975, 3.946, 4.075, and 4.078 for love for work, teaching and education, rigorous learning, and being a teacher, respectively. The overall evaluation scores of teacher Q in school 1 increased by 7.13% and 12%, respectively, compared with the other two teachers. This shows that the evaluation index system of teacher morality and teacher style in universities can effectively evaluate the teacher morale and teacher style quality of teachers.

Keywords

• hierarchical analysis
• consistency test
• genetic algorithm
• gaohp-ahp model
• evaluation index system
• 97m80