A Fuzzy Based Comprehensive Study of Factors Affecting Teacher's Performance in Higher Technical Education

The main objective of this paper is to suggest a model for improving and retaining the highly qualified teachers in higher technical education. There are numerous researches going on all over the world regarding the key quality factors which are directly linked with teacher's performance and the methods to improve them. Whatever the methods and measures, the teacher's active participation and dedication is very important to achieve these objectives. A detailed questionnaire was distributed to highly qualified and experienced teachers who are working in engineering colleges for more than five years. Since the variables in this study are quality factors, the collected data is analyzed using the fuzzy logic and inference is drawn for getting more accurate results compared to probability study of the same case. Based on the results obtained from fuzzy inference system, a new model called Adaptive Performance-Incentive-Development (PID) control system for improving the quality as well as retaining the highly qualified teachers in the teaching profession is created.