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Teaching Performance Evaluation Framework: An Analytic Hierarchy Process Approach

Azizul Azhar Ramli (), Shahreen Kasim (), Mohd. Farhan Md. Fuzzee () and Hairulnizam Mahdin ()
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Azizul Azhar Ramli: Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja, 86400 Batu Pahat, Johor, Malaysia
Shahreen Kasim: Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja, 86400 Batu Pahat, Johor, Malaysia
Mohd. Farhan Md. Fuzzee: Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja, 86400 Batu Pahat,Johor, Malaysia
Hairulnizam Mahdin: Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja, 86400 Batu Pahat,Johor, Malaysia

Acta Informatica Malaysia (AIM), 2017, vol. 1, issue 1, 1-6

Abstract: 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.

Keywords: Teaching Performance Evaluation Process; Multi Criteria Decision Making; Analytic Hierarchical ProcessJournal: Acta Informatica Malaysia (AIM) (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnaim:v:1:y:2017:i:1:p:1-6

DOI: 10.26480/aim.01.2017.01.06

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Acta Informatica Malaysia (AIM) is currently edited by Associate Professor Dr. Shahreen Kasim

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