Case Data Analysis of National College Satisfaction Survey— Promoting School Reform and Development

Abstract

The National Institute of Education Sciences (abbreviated as NIES) launched the second round of national college satisfaction survey in 2018. This paper starts with the analysis of the student questionnaire, using perspective table, column chart, pie chart, word frequency chart to analyze data. Based on the five dimensions of educational expectation, education quality perception, education environment perception, education equity perception, and education overall satisfaction, this paper analyzes and counts the questionnaires of staff and students in Chongqing College of Electronic Engineering, further use the Likert scale to calculate the scores of various indicators. situation; The cluster algorithm is used to analyze multiple choice topics and the key words of students 'opinions are summarized, and different sizes are displayed according to the frequency of words. The open questions such as "Modern Apprenticeship System" are analyzed. Through the analysis of the results of the questionnaire, this paper points out the problems that should be paid attention to and improved in education and teaching. With the twelve first-class constructions as its goal, it is necessary to establish a high-quality school with high credibility throughout the country.