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fall victims of low grade point at the end of their first year in the institution of higher learning and some were even withdrawn due to their unacceptable grade point average (GPA); this could be prevented if necessary measures were taken at the appropriate time.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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| Language: | en en |
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2013
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| Online Access: | http://umpir.ump.edu.my/id/eprint/6586/1/B031107014.pdf http://umpir.ump.edu.my/id/eprint/6586/7/Risk%20Status%20Prediction.pdf http://umpir.ump.edu.my/id/eprint/6586/ |
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| author | Raheem, Ajiboye Adeleke Ruzaini, Abdullah Arshah Qin, Hongwu |
| author_facet | Raheem, Ajiboye Adeleke Ruzaini, Abdullah Arshah Qin, Hongwu |
| author_sort | Raheem, Ajiboye Adeleke |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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fall victims of low grade point at the end of their first year in the institution of higher learning and some were even withdrawn due to their unacceptable grade point average (GPA); this could be prevented if necessary measures were taken at the appropriate time.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 |
| id | my.ump.umpir.6586 |
| institution | Universiti Malaysia Pahang |
| language | en en |
| publishDate | 2013 |
| record_format | eprints |
| spelling | my.ump.umpir.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). (Published) |
| 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 |
| title | 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_short | 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 |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/6586/1/B031107014.pdf http://umpir.ump.edu.my/id/eprint/6586/7/Risk%20Status%20Prediction.pdf http://umpir.ump.edu.my/id/eprint/6586/ |
| url_provider | http://umpir.ump.edu.my/ |