A LINEAR PROGRAMMING BASED MODEL TO MEASURE EFFICIENCY AND EFFECTIVENESS OF UNDERGRADUATE PROGRAMS

Measuring performance of an educational program based on its academic achievement is not sufficient without considering the cost and the impact of the program. This paper aims to demonstrate the construction of a measurement model consisting of the input, output and outcome variables. The model can...

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Main Authors: Maznah Mat Kasim, Rosmaini Kashim, Sahubar Ali Mohamed Nadhar Khan
Format: Article
Language:English
Published: UUM Press 2017-10-01
Series:Journal of ICT
Online Access:https://www.scienceopen.com/document?vid=51cf9331-62b2-4978-b7b7-cd6a7d3ced89
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spelling doaj-b459e6fb76494065aff82801bb800b752021-08-03T00:25:12ZengUUM PressJournal of ICT1675-414X2017-10-0110.32890/jict2017.16.2.8238A LINEAR PROGRAMMING BASED MODEL TO MEASURE EFFICIENCY AND EFFECTIVENESS OF UNDERGRADUATE PROGRAMSMaznah Mat KasimRosmaini KashimSahubar Ali Mohamed Nadhar KhanMeasuring performance of an educational program based on its academic achievement is not sufficient without considering the cost and the impact of the program. This paper aims to demonstrate the construction of a measurement model consisting of the input, output and outcome variables. The model can estimate both the efficiency and the effectiveness of undergraduate programs. After the aforementioned variables were identified for each individual efficiency and effectiveness model, a linear programming based tool, Data Envelopment Analysis (DEA) was used as the analysis method to integrate the models since it has the ability to consider all the variables simultaneously. The two models were integrated as a product, and was defined as the final model which was verified by applying it to measure the performance of 26 undergraduate programs in a university. The results show that seven programs are efficient, six programs are effective, and six programs are both efficient and effective. The model is flexible since it can be extended to include more variables or it can be modified by defining new variables in measuring efficiency and effectiveness of other programs or organizations.  https://www.scienceopen.com/document?vid=51cf9331-62b2-4978-b7b7-cd6a7d3ced89
collection DOAJ
language English
format Article
sources DOAJ
author Maznah Mat Kasim
Rosmaini Kashim
Sahubar Ali Mohamed Nadhar Khan
spellingShingle Maznah Mat Kasim
Rosmaini Kashim
Sahubar Ali Mohamed Nadhar Khan
A LINEAR PROGRAMMING BASED MODEL TO MEASURE EFFICIENCY AND EFFECTIVENESS OF UNDERGRADUATE PROGRAMS
Journal of ICT
author_facet Maznah Mat Kasim
Rosmaini Kashim
Sahubar Ali Mohamed Nadhar Khan
author_sort Maznah Mat Kasim
title A LINEAR PROGRAMMING BASED MODEL TO MEASURE EFFICIENCY AND EFFECTIVENESS OF UNDERGRADUATE PROGRAMS
title_short A LINEAR PROGRAMMING BASED MODEL TO MEASURE EFFICIENCY AND EFFECTIVENESS OF UNDERGRADUATE PROGRAMS
title_full A LINEAR PROGRAMMING BASED MODEL TO MEASURE EFFICIENCY AND EFFECTIVENESS OF UNDERGRADUATE PROGRAMS
title_fullStr A LINEAR PROGRAMMING BASED MODEL TO MEASURE EFFICIENCY AND EFFECTIVENESS OF UNDERGRADUATE PROGRAMS
title_full_unstemmed A LINEAR PROGRAMMING BASED MODEL TO MEASURE EFFICIENCY AND EFFECTIVENESS OF UNDERGRADUATE PROGRAMS
title_sort linear programming based model to measure efficiency and effectiveness of undergraduate programs
publisher UUM Press
series Journal of ICT
issn 1675-414X
publishDate 2017-10-01
description Measuring performance of an educational program based on its academic achievement is not sufficient without considering the cost and the impact of the program. This paper aims to demonstrate the construction of a measurement model consisting of the input, output and outcome variables. The model can estimate both the efficiency and the effectiveness of undergraduate programs. After the aforementioned variables were identified for each individual efficiency and effectiveness model, a linear programming based tool, Data Envelopment Analysis (DEA) was used as the analysis method to integrate the models since it has the ability to consider all the variables simultaneously. The two models were integrated as a product, and was defined as the final model which was verified by applying it to measure the performance of 26 undergraduate programs in a university. The results show that seven programs are efficient, six programs are effective, and six programs are both efficient and effective. The model is flexible since it can be extended to include more variables or it can be modified by defining new variables in measuring efficiency and effectiveness of other programs or organizations.  
url https://www.scienceopen.com/document?vid=51cf9331-62b2-4978-b7b7-cd6a7d3ced89
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