Research on Innovation strategies and best practices Model of Higher Education of biotechnology based on Hierarchical Ordered Probity

Abstract

Aiming at the problem of low confidence in the traditional model of higher education innovation and reform, this paper designs a model of higher education of innovation and Reform Based on hierarchical ordered probity in biotechnology. By mining the data of higher education innovation and reform, deleting the redundant features of higher education innovation and reform data, filling in the data null and noise points, the data preprocessing of higher education innovation and reform is completed. Based on the hierarchical probity, the model parameters are estimated by calculating the core indicators of the model, and the functional relationship between the independent variables and the dependent variables in the model parameters is determined. The experimental results show that the confidence of the model based on hierarchical ordered probity is significantly higher than that of the control group, which can solve the problem of low confidence of the traditional higher education innovation model. The rate of return on schooling is steadily falling as social competitiveness heats up. As a result, the positive impact of education on well-being is lessened. This study used a bivariate ordered Probity model under the educational field theory to examine the effect of higher education innovation on social class and residents' satisfaction. Higher education reform and innovation will have an influence on people' satisfaction, according to these findings. People's subjective well-being may be considerably improved by increasing their education level, and there are major disparities between urban and rural areas. This demonstrates the need of educational reform and innovation strategies with best practices.