Teaching Performance Evaluation Framework: An Analytic Hierarchy Process Approach

Teaching performance evaluation process in higher learning institutions (HLI) is of the most importance in building a higher education policy which purposes for teaching improvement and administrative decision making. Several issues have been raised such as 1) instrument characteristic used to detect values is not sufficient to handle subjective evaluation criteria’s and, 2) the most techniques used in handling survey data is statistical method. In conventional practice, ordinal Likert scales used for marking schema and statistical techniques are implemented for analyzing the data. In order to manage the issues, this research presents a multi-criteria decision making methodology, called analytic hierarchical process (AHP) to evaluate HLI instructors teaching performance. As a well known decision making approach, AHP can systematically cope with highly subjective problems in social system. An AHP implementation framework for teaching performance evaluation will use the possible internal factors; preparation, organization, delivery and effectiveness that are evaluated as teaching evaluation weight. The future work is also suggested, this evaluation system should be implemented in real time situations. It becomes the best platform to evaluate teaching performance and categorize instructors into appropriate bands.