Othman, Mohamad Khairi and Mohd Yaakob, Mohd Faiz and Fauzee, Mohd Sofian Omar and Zakaria, Normah and Abdullah, Shuhairimi (2022) Language of expert consensus: The indicator of student outcome according to Ibn Miskawayh’s theory using Fuzzy Delphi Technique application. Journal of Language and Linguistic Studies, 18 (1). pp. 59-79.
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Abstract
The success of a school depends on student outcome which can be measured based on three main aspects, namely academic, co-curriculum and personality. The ineffectiveness of programs organized by schools to cultivate good values among students has led to the need for certain efficient and systematic mechanisms to be established to assess the current level of student outcomes. Therefore, this study aimed to get expert views and consensus on the indicator of student outcome based on Ibn Miskawayh’s theory in the mission of shaping students according to the true Islamic practices. This research employed the Fuzzy Delphi technique utilizing a 7 Likert scale to accumulate answers of 15 experts in different areas of education at public universities and government sectors in Malaysia. A total of 54 item survey was given to experts for evaluation. The Fuzzy Delphi technique was used for statistical analysis. Data were analyzed using a triangular fuzzy numbers and the ranking of each variable was determined using the 'defuzzification' process. The findings showed that response and expert consensus on the factors that lead to academic dishonesty was at a good level. The general findings of the expert consensus exceeded 75%, the overall value of the threshold (d) <0.2 and α-cut exceeded 0.05. The priority factors were sorted and refined by adding and dropping items as recommended by the experts.
Item Type: | Article |
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Uncontrolled Keywords: | Islamic education; expert consensus; fuzzy delphi; student outcome; expert validity; Islamic Perspective; Ibn Maskawayh |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA329-348 Engineering mathematics. Engineering analysis |
Depositing User: | Mr. Abdul Rahim Mat Radzuan |
Date Deposited: | 29 Mar 2022 07:27 |
Last Modified: | 29 Mar 2022 07:27 |
URI: | http://eprints.uthm.edu.my/id/eprint/6876 |
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