Analysis on teacher teaching evaluation system based on clustering constant modulus

It is compiled by referring to some dimensions of cartel 16 personality factors questionnaire (16PF) and combined with the current situation of teachers in vocational colleges. Six dimensions are designed, which are communication and expression, innovation, persistence, manual operation, teachers’ professional identity and intelligence. The clustering algorithm is used to simulate and analyze the data system and establish the big data norm. In addition to describing the whole from the data of centralized trend and discrete trend, it can also describe the position of each individual score in the whole. Here, the concept of overall distribution is used to describe the overall data state by presenting the distribution diagram

The Contribution of Work Experience on Earnings Inequality of Migrant Workers: Decompositions Based on the Quantile Regression Equation

This paper aims at excavating the influence factors of earning inequality, due to the increasing contribution of earning inequality to income inequality in a rural region. The authors examine the contribution of work experience on earning inequality using survey data. Employing the quantile regression, they estimate the Mincer equation of migrant workers’ earnings and decompose earning inequality by the regression-based decomposition. It has been found that the effects of work experience had been one of the most important contributors to earnings inequality, and its contribution is close to 20%. Furthermore, the authors use the same method to examine the effects on male migrant workers. The results show that work experience had a steady contribution to earning inequality