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

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dc.contributor.authorAjiboye, A.R.
dc.contributor.authorAbdullah-Arshah, R.
dc.contributor.authorHonqwu, Q.
dc.date.accessioned2018-08-27T08:14:01Z
dc.date.available2018-08-27T08:14:01Z
dc.date.issued2013-11
dc.descriptionArticleen_US
dc.description.abstractSeveral 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fall victims of low grade point at the end of their first year in the institution of higher learning and some were even withdrawn due to their unacceptable grade point average (GPA); this could be prevented if necessary measures were taken at the appropriate time.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 model using 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 weaknesses and 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.en_US
dc.identifier.citationResearch Inventy: International Journal Of Engineering & Scienceen_US
dc.identifier.issn2278-4721
dc.identifier.urihttp://hdl.handle.net/123456789/1196
dc.language.isoenen_US
dc.relation.ispartofseriesIssue 11;Vol.3
dc.subjectfuzzy logicen_US
dc.subjectacademic achievementen_US
dc.subjectpredictionen_US
dc.subjectrisk statusen_US
dc.titleRisk Status Prediction and Modelling Of Students’ Academic Achievement - A Fuzzy Logic Approachen_US
dc.typeArticleen_US

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