Principal Component Analysis in the quality of student evaluation

• 1、College of Science,Liaoning Technology University

Abstract：Less comprehensive indicator exists in a large number of general observations of various types of information, integrated with each other indicators are not related to the information on behalf of the indicators of non-overlapping analysis known as principal component analysis. For its analysis of more data on a large number of indicators to understand the relationship between the data and the trend is a useful way. This method will eliminate the variables between the total linear to reduce the number of variables, the results of the visual. In recent years, the teacher’s teaching evaluation as to improve the quality of teaching and educational level of an important means to achieve certain results. However, the assessment of the quality of students has to be perfect. Mentioned here refers not only to study the quality of students Score of course, but to measure the overall quality of its results. Using multivariate analysis of principal component analysis, based on all aspects of the quality of the students, give a comprehensive evaluation index, the overall quality of its evaluation. Based on each student’s comprehensive evaluation index scores, to determine the class was born in (or line) in the ranking, in order to achieve the principal component analysis in the quality of the student evaluation.

Keywords： principal component analysis the quality of students evaluation