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A PERFORMANCE CLASSIFICATION OF UNIVERSITY TEACHERS ON RESEARCH, TEACHING AND SERVICES
A PERFORMANCE CLASSIFICATION OF UNIVERSITY TEACHERS ON RESEARCH, TEACHING AND SERVICES
Hsiang-Ching Lai*, I-Shou University, Taiwan (ROC)
*Corresponding Author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Chiao-Pin Bao, I-Shou University, Taiwan (ROC), This email address is being protected from spambots. You need JavaScript enabled to view it.
Chun-I Chen, I-Shou University, Taiwan (ROC), This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
The classification of university teachers' performance is related to the rights and interests of each teacher's future development. Generally, universities allow teachers to perform self-evaluation. However, self-evaluation may show higher tolerance, lower variability, and more errors compared with the evaluation conducted by their supervisors, peers or others. Therefore, the classification of teachers' performance cannot really show the ranking of teachers' performance. The main purpose of this study is to design an effective classification method to assess university teachers' performance. In this study, 101 teachers' performance scores with respect to research, teaching and service in the university were simulated. The scores of each teacher were subtracted from the highest score of each group. The following two steps were performed: (1) grouping was implemented based on the characteristic that the weight of CCR model variable of Data Envelopment Analysis was "0"; (2) 0-1 programming assignment method was used to classify the performance in terms of research, teaching and services for teachers who failed to be grouped in the above steps. Based on the characteristic of CCR mode weight of "0" in the Data Envelopment Analysis, 95 teachers were grouped according to the CCR model after three times of grouping, and the remaining 6 teachers were grouped based on the 0-1 programming assignment method. The contribution of this study is that it replaced the z-score method with the assignment method, which features that data do not need to conform to the normal distribution and provides more functions (such as multiple-principle programming) than the z-score distribution.
Keywords: classification, Data Envelopment Analysis (DEA), assignment method
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