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

机译:多准则决策在教师绩效评估与评价中的应用

摘要

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.udTeacher’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 audpositive 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 toudtheir priority of significance while evaluating quality/performance level of a teacher. But there is no clear-cut methodology for assigning this priorityudweightage 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 beenudproposed 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-udmethod, 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 performanceudlevel of individual teachers. Application feasibility as well as efficiency of this method and guidelines in solving such a multi-attribute decision makingudproblem has been described illustratively in this paper.ud
机译:教育质量是每个利益相关者在教育系统中做出重大贡献的最终结果。但是,人们认为教师的素质直接关系到教育质量的提高和维持。 udTeacher的绩效评估只不过是一个多标准决策问题(MCDM)。有几种质量属性会影响潜在教师的效率,同时指导他/她的学生朝着定性和增值的学术成果迈进。但是,从每个人的角度来看,质量属性的重要性范围可能会有所不同。换句话说,在评估教师的质量/绩效水平时,不同的属性可以根据其重要性的优先级而具有不同的权重。但是,没有为属性分配此优先级/权重的明确方法。因此,确实需要专家意见来估计那些属性权重值。在本报告中,为了评估教师的表现,已经提出了一种采用多标准决策(MCDM)的方法。灰色关系分析已被探索出来,以便优先考虑预期会影响教师绩效水平的质量属性。基于COPRAS方法,已为一组教师分配了不同属性的数值(区间分数)(乘以个人权重),以计算总体质量估计值,以指示各个教师的绩效。在本文中已举例说明了该方法的应用可行性以及该方法和准则在解决此类多属性决策中的效率。

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    Mazumdar Avijit;

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  • 年度 2009
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