A Data Mining-Based Approach for Exploiting the Characteristics of University Lecturers

摘要

The faculty evaluation forms can be considered as valuable data source to exploit knowledge which helps to improve the quality of teaching and learning in universities. In this paper, we analyze previous studies on exploiting faculty evaluation forms according to major problems and their solutions. On that basis, we propose and solve the problem of mining useful knowledge about human resource of Ton Duc Thang University using a data mining-based approach. The experimental data are collected from the online faculty evaluation system of our university, with more than 140,000 evaluation forms. We apply the solution to analyze the data set and draw meaningful comments for the characteristics of the lecturers so that human resource can be exploited and constructed appropriately and efficiently. The results obtained are compared to a previous study on clustering lecturers based on performance and correlation coefficient analysis method.