Exploiting the characteristics of lecturers based on faculty performance evaluation forms

Abstract

The faculty evaluation forms can be considered as valuable data source to exploit knowledgewhich 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. 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 exploitation and construction of human resource appropriately and efficiently. The results obtained are compared to the previous study on clustering lecturers based on performance and statistical method.