Risk Status Prediction and Modelling Of Students’ Academic Achievement - A Fuzzy Logic Approach

Several students usually fall victims of low grade point at the end of their first year in the institution of higher learning and some were even withdrawn due to their unacceptable grade point average (GPA); this could be prevented if necessary measures were taken at the appropriate time. In this pa...

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Main Authors:	Raheem, Ajiboye Adeleke, Ruzaini, Abdullah Arshah, Qin, Hongwu
Format:	Article
Language:	English English
Published:	2013
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/6586/ http://umpir.ump.edu.my/id/eprint/6586/1/B031107014.pdf http://umpir.ump.edu.my/id/eprint/6586/7/Risk%20Status%20Prediction.pdf

id	oai:umpir.ump.edu.my:6586
recordtype	eprints
spelling	oai:umpir.ump.edu.my:65862018-05-18T02:53:34Z http://umpir.ump.edu.my/id/eprint/6586/ Risk Status Prediction and Modelling Of Students’ Academic Achievement - A Fuzzy Logic Approach Raheem, Ajiboye Adeleke Ruzaini, Abdullah Arshah Qin, Hongwu QA76 Computer software Several students usually fall victims of low grade point at the end of their first year in the institution of higher learning and some were even withdrawn due to their unacceptable grade point average (GPA); this could be prevented if necessary measures were taken at the appropriate time. In this paper, a modelusing fuzzy logic approach to predict the risk status of students based on some predictive factors is proposed. Some basic information that has some correlations with students’ academic achievement and other predictive variables were modelled, the simulated model shows some degree of risk associated with their past academic achievement. The result of this study would enable the teacher to pay more attention to student’s weaknessesand could also help school management in decision making, especially for the purpose of giving scholarship to talented students whose risk of failure was found to be very low; while students identified as having high risk of failure, could be counselled and motivated with a view to improving their learning ability 2013 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6586/1/B031107014.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/6586/7/Risk%20Status%20Prediction.pdf Raheem, Ajiboye Adeleke and Ruzaini, Abdullah Arshah and Qin, Hongwu (2013) Risk Status Prediction and Modelling Of Students’ Academic Achievement - A Fuzzy Logic Approach. International Journal Of Engineering And Science, 3 (11). pp. 7-14. ISSN 2319-6483(Print); 2278-4721(Online)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Raheem, Ajiboye Adeleke Ruzaini, Abdullah Arshah Qin, Hongwu Risk Status Prediction and Modelling Of Students’ Academic Achievement - A Fuzzy Logic Approach
description	Several students usually fall victims of low grade point at the end of their first year in the institution of higher learning and some were even withdrawn due to their unacceptable grade point average (GPA); this could be prevented if necessary measures were taken at the appropriate time. In this paper, a modelusing fuzzy logic approach to predict the risk status of students based on some predictive factors is proposed. Some basic information that has some correlations with students’ academic achievement and other predictive variables were modelled, the simulated model shows some degree of risk associated with their past academic achievement. The result of this study would enable the teacher to pay more attention to student’s weaknessesand could also help school management in decision making, especially for the purpose of giving scholarship to talented students whose risk of failure was found to be very low; while students identified as having high risk of failure, could be counselled and motivated with a view to improving their learning ability
format	Article
author	Raheem, Ajiboye Adeleke Ruzaini, Abdullah Arshah Qin, Hongwu
author_facet	Raheem, Ajiboye Adeleke Ruzaini, Abdullah Arshah Qin, Hongwu
author_sort	Raheem, Ajiboye Adeleke
title	Risk Status Prediction and Modelling Of Students’ Academic Achievement - A Fuzzy Logic Approach
title_short	Risk Status Prediction and Modelling Of Students’ Academic Achievement - A Fuzzy Logic Approach
title_full	Risk Status Prediction and Modelling Of Students’ Academic Achievement - A Fuzzy Logic Approach
title_fullStr	Risk Status Prediction and Modelling Of Students’ Academic Achievement - A Fuzzy Logic Approach
title_full_unstemmed	Risk Status Prediction and Modelling Of Students’ Academic Achievement - A Fuzzy Logic Approach
title_sort	risk status prediction and modelling of students’ academic achievement - a fuzzy logic approach
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/6586/ http://umpir.ump.edu.my/id/eprint/6586/1/B031107014.pdf http://umpir.ump.edu.my/id/eprint/6586/7/Risk%20Status%20Prediction.pdf
first_indexed	2018-09-07T00:53:56Z
last_indexed	2018-09-07T00:53:56Z
_version_	1610908053617508352

Risk Status Prediction and Modelling Of Students’ Academic Achievement - A Fuzzy Logic Approach

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