Abstract
In the literature on students' perfonnance, the relative importance of students' learning styles has been subject to considerable debate. One major theoretical issue that has conquered the field for many years concerns is the ways people evaluate the students' performance that only based on students' academic results. The objectives of this research are to predict students' perfonnance based on their learning styles using neuro fuzzy system and to detennine the combination of learning style for the excellent student. The accuracy of the prediction is obtained at 87.3% with the corresponding mean absolute percentage error (MAPE) of 12.7%. This study has found that generally, neuro fuzzy system with ANFIS approach is a good tool for assessing the effect of learning styles on students' perfonnance.
Metadata
Item Type: | Student Project |
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Creators: | Creators Email / ID Num. Nor' Azman, Nur Haziqah Adzreena UNSPECIFIED Mohamad, Norasling UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Fuzzy arithmetic Q Science > QA Mathematics > Mathematical statistics. Probabilities Q Science > QA Mathematics > Evolutionary programming (Computer science). Genetic algorithms Q Science > QA Mathematics > Fuzzy logic |
Divisions: | Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus > Faculty of Computer and Mathematical Sciences |
Programme: | Bachelor of Science (Hons.) Management Mathematics |
Keywords: | Assessing, effect, learning styles, students' performance, neuro fuzzy system |
Date: | 2019 |
URI: | https://ir.uitm.edu.my/id/eprint/39706 |
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