Surveys on Knowledge Management and Knowledge Creation in a Chinese Research University

Research on knowledge management and knowledge creation in academia has become a hot and promising research area. This paper designed questionnaire scientifically and programmed to complete survey website and carried out surveys in the field of knowledge management on undergraduates in a Chinese research university. Based on the questionnaire collected, the paper analyzed the students' implicit barriers and special requirements in their self-learning, knowledge absorption and innovation by data-mining algorithms, such as regression analysis, correlation analysis and cluster analysis. The results provided guidance to the personal knowledge learning and personal knowledge innovation and also provide recommendations to university management. Most previous researches were from the general management of organization and just stayed on mass and strategic level. Besides, seldom researches used modern IT tools and suitable algorithms. Compared with traditional educational management, this paper combined online and offline questionnaires and surveyed the aspects of study, living, professional skills, satisfaction to school, and then studied the problems existing in the undergraduates and provided scientific solutions. The result of this paper can be used to improve the knowledge management of undergraduates and the quality of higher education.