Application of Multi-Criteria Decision Making (MCDM) Approached on Teachers' Performance Evaluation and Appraisal

Abstract

Education quality is the ultimate result of significant contribution by each stake holder in an education system. However, it is believed that faculty quality has direct bearing on improving and sustaining quality in education.
Teacher’s performance evaluation is nothing but a Multi Criteria Decision Making Problem (MCDM). There are several quality attributes that influence the efficiency of a potential teacher while guiding his/her students towards a
positive and value added academic outcome. However, the extent of significance of quality attributes may vary from individuals’ viewpoint. In other words, different attributes may have different weightage according to
their priority of significance while evaluating quality/performance level of a teacher. But there is no clear-cut methodology for assigning this priority
weightage for the attributes. Therefore, expert opinion is indeed required to estimate those attribute weightage values. In the present reporting, a methodology adapted from Multi-Criteria-Decision Making (MCDM) has been
proposed in order to evaluate performance of a teacher. Grey relational analysis has been explored in order to prioritize quality attributes that are expected to influence performance level of a teacher. Based on COPRAS-
method, numerical values (interval scores) on different attributes assigned for a group of teachers (multiplied by individual weightage) have been accumulated to compute an overall quality estimate indicating performance
level of individual teachers. Application feasibility as well as efficiency of this method and guidelines in solving such a multi-attribute decision making
problem has been described illustratively in this paper.