A Comparative Study of Knowledge Management on Undergraduate by Questionnaire

Compared with other areas, knowledge management in education area has been lack of attention for a long time. This paper did a survey on undergraduate in a Chinese research university. By designing the questionnaire, implementing the survey website by programming, we got 515 original data from art students and science students. Then we analyzed the data by several data-mining algorithms, e.g. the optimal scale regression analysis, the bivariate correlation analysis and the K-center cluster analysis, and we got some significant conclusions and provided some scientific solutions. Compared with traditional educational management, this paper surveyed art and science students comprehensively and made a comparative study between them. In addition, we used data mining algorithms to process the data. The results of this paper could be used to improve the knowledge management and the quality of higher education to some extent.