Ramli, Razamin and Ghazali, Mohd Izam and Ibrahim, Haslinda and Mat Kasim, Maznah and Mohmad Kamal, Fazillah and Subramaniam, Vikneswari (2013) A hybridized competency-based teacher candidate selection system. International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 7 (5). pp. 1117-1121. (Unpublished)

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Abstract

Teachers form the backbone of any educational system, hence selecting qualified candidates is very crucial.In Malaysia, the decision making in the selection process involves a few stages: Initial filtering through academic achievement, taking entry examination and going through an interview session.The last stage is the most challenging since it highly depends on human judgment. Therefore, this study sought to identify the selection criteria for teacher candidates that form the basis for an efficient multi-criteria teacher-candidate selection model for that last stage.The relevant criteria were determined from the literature and also based on expert input that is those who were involved in interviewing teacher candidates from a public university offering the formal training program. There are three main competency criteria that were identified which are content of knowledge, communication skills and personality.Further, each main criterion was divided into a few subcriteria. The Analytical Hierarchy Process (AHP) technique was employed to allocate weights for the criteria and later, integrated a Simple Weighted Average (SWA) scoring approach to develop the selection model.Subsequently, a web-based Decision Support System was developed to assist in the process of selecting the qualified teacher candidates.The Teacher-Candidate Selection (TeCaS) system is able to assist the panel of interviewers during the selection process which involves a large amount of complex qualitative judgments.

Item Type:	Article
Uncontrolled Keywords:	Analytic Hierarchy Process, Simple Weighted Average, Decision Support System, Multi-criteria decision making problem.
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Quantitative Sciences
Depositing User:	Prof. Dr. Razamin Ramli
Date Deposited:	13 Apr 2017 04:34
Last Modified:	13 Apr 2017 04:34
URI:	https://repo.uum.edu.my/id/eprint/21551

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