Entry qualifications of students as predictors of academic performance in various degree programs in distance education setting in Pakistan

Academic performance of students has always been the area of concern for educational institutions as it is a key indicator of institutional quality. In order to have a better quality output the higher education institutions set some admission criteria such as scores on specified international stand...

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Main Authors: Nauman A. Abdullah, Munawar S. Mirza
Format: Article
Language:English
Published: International Council for Open and Distance Education (ICDE) 2018-07-01
Series:Open Praxis
Subjects:
Online Access:https://account.openpraxis.org/index.php/up-j-op/article/view/446
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author Nauman A. Abdullah
Munawar S. Mirza
author_facet Nauman A. Abdullah
Munawar S. Mirza
author_sort Nauman A. Abdullah
collection DOAJ
description Academic performance of students has always been the area of concern for educational institutions as it is a key indicator of institutional quality. In order to have a better quality output the higher education institutions set some admission criteria such as scores on specified international standardized tests, previous academic qualifications, and admission tests of students or a combination of such scores. Virtual University of Pakistan (VU) is a technology-based distance learning institution that facilitates students who are unable to attend traditional institutions of higher education for a variety of reasons. It was of interest to the researchers to study the entry qualifications of students i.e. the admission criteria, as predictor of their academic performance in various degree programs at VU. For that purpose, the data of 5825 graduates in different two years masters programs in 2015-16 were taken as sample. The entry qualifications of students, and cumulative scores of their previous academic qualifications were taken as predictors of their performance i.e. cumulative grade point average (CGPA,) in relevant degree program. Descriptive (range, percentage) and inferential (pearson r, multiple regression) statistics were applied after grouping the students into low, average and high achievers on cumulative scores as well as entry qualification scores. The results showed significant differences in the predictions and their implications are useful for policy makers and relevant departments of the university as well as for other distance learning educational institutions.
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spelling doaj.art-1f3092a6692241869436b3fc1cbf60922023-11-17T10:20:32ZengInternational Council for Open and Distance Education (ICDE)Open Praxis1369-99972304-070X2018-07-01103Entry qualifications of students as predictors of academic performance in various degree programs in distance education setting in PakistanNauman A. Abdullah0Munawar S. Mirza1Virtual University of PakistanVirtual University of Pakistan Academic performance of students has always been the area of concern for educational institutions as it is a key indicator of institutional quality. In order to have a better quality output the higher education institutions set some admission criteria such as scores on specified international standardized tests, previous academic qualifications, and admission tests of students or a combination of such scores. Virtual University of Pakistan (VU) is a technology-based distance learning institution that facilitates students who are unable to attend traditional institutions of higher education for a variety of reasons. It was of interest to the researchers to study the entry qualifications of students i.e. the admission criteria, as predictor of their academic performance in various degree programs at VU. For that purpose, the data of 5825 graduates in different two years masters programs in 2015-16 were taken as sample. The entry qualifications of students, and cumulative scores of their previous academic qualifications were taken as predictors of their performance i.e. cumulative grade point average (CGPA,) in relevant degree program. Descriptive (range, percentage) and inferential (pearson r, multiple regression) statistics were applied after grouping the students into low, average and high achievers on cumulative scores as well as entry qualification scores. The results showed significant differences in the predictions and their implications are useful for policy makers and relevant departments of the university as well as for other distance learning educational institutions. https://account.openpraxis.org/index.php/up-j-op/article/view/446Entry qualificationsacademic performancedistance educationcumulative scoresPakistan
spellingShingle Nauman A. Abdullah
Munawar S. Mirza
Entry qualifications of students as predictors of academic performance in various degree programs in distance education setting in Pakistan
Open Praxis
Entry qualifications
academic performance
distance education
cumulative scores
Pakistan
title Entry qualifications of students as predictors of academic performance in various degree programs in distance education setting in Pakistan
title_full Entry qualifications of students as predictors of academic performance in various degree programs in distance education setting in Pakistan
title_fullStr Entry qualifications of students as predictors of academic performance in various degree programs in distance education setting in Pakistan
title_full_unstemmed Entry qualifications of students as predictors of academic performance in various degree programs in distance education setting in Pakistan
title_short Entry qualifications of students as predictors of academic performance in various degree programs in distance education setting in Pakistan
title_sort entry qualifications of students as predictors of academic performance in various degree programs in distance education setting in pakistan
topic Entry qualifications
academic performance
distance education
cumulative scores
Pakistan
url https://account.openpraxis.org/index.php/up-j-op/article/view/446
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