An Intelligent Fuzzy Rule-Based System for Teachers’ Performance Evaluation in Higher Educations (In Case: Adama Science and Technology University)

Abstract

Evaluation of teachers’ performance is an important element in enhancing the quality of education and improves teachers’ motivation to perform well. It also presents a basis for upgrading and enhancing of an educational institution. This paper represents adaptation of expert systems technology using fuzzy logic to handle qualitative and uncertain facts in the decision-making process of teachers’ performance evaluation. Human behaviors are mostly based upon qualitative facts, which cannot be numerically measured and hard to decide. This approach is an attempt to cope with such problems in the scenario of teachers’ performance evaluation. Through Fuzzy Logic we numerically weighted the linguistic terms, like; very poor, poor, good, very good, excellent, low or satisfied, unsatisfied by assigning priorities to these qualitative facts. One of the challenging problems facing decision makers in educational institutions is the evaluation of teachers’ knowledge and skills in delivering a given course. According to the standard methods of teachers’ evaluation, a mark, expressed either with a numerical value within a given scale (e.g., from 1 to 5) or with a linguistic value (e.g., Very Low to Very High) corresponding to the percentage of a teacher’s success, is assigned in order to characterize his/her performance. Finally, this study found that the use of fuzzy logic approach has a great flexibility and reliability in decision-making process of teachers’ performance evaluation.