The Entry Qualifications and Gender Analysis of Student Performance by using Artificial Intelligent Method
Entry qualifications are very important for the educational institution or educational providers to ensure quality graduate been produced. This paper presents the influence of gender, entry qualification and entry results towards the student performance in university. Total of 65 students were...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/1428/1/2009_P_MUCEET09_Gender_M.M.Noor_K.Kadirgama-Conference-.pdf http://umpir.ump.edu.my/id/eprint/1428/ |
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| Summary: | Entry qualifications are very important
for the educational institution or educational
providers to ensure quality graduate been
produced. This paper presents the influence of
gender, entry qualification and entry results
towards the student performance in university.
Total of 65 students were randomly selected in
faculty of mechanical engineering, University
Malaysia Pahang. Entries qualifications are from
Foundation Program, Higher Certificate of
Malaysian Education (STPM) and Diploma
Certificate. STPM is form six examinations in
secondary school level. Multilayer Perceptron
Neural Network (MPNN) method was used to
measure and predict the student’s performance.
Result from the study shows that gender not
significant role but entry results plays important
role. Good entry results student normally
maintain their performance throughout the study
and become excellent graduates. MPNN is an
important tool to study the different type of
variables for student performance. |
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