Student performance classification: data, features and classifiers / Muhammad Hareez Mohd Zaki ... [et al.]

Mohd Zaki, Muhammad Hareez and Abdul Aziz, Mohd Azri and Sulaiman, Suhana and Hambali, Najidah (2023) Student performance classification: data, features and classifiers / Muhammad Hareez Mohd Zaki ... [et al.]. Journal of Electrical and Electronic Systems Research (JEESR), 23 (1): 8. pp. 69-79. ISSN 1985-5389

Abstract

Recognising student’s performances are one of the factors that contribute to the Educational Data Mining (EDM) which make it important in determining the students-related factors that affect their performance. Thus, a review on the student performance classification based on its data, features and classifiers has been made. The purpose of the study is to review on classification of student performance, data and features that are used in analysing student performance and also the classifiers that are used in classifying the performances of the student. By reviewing these factors, the insight of the data and features used during classification of student performance can be obtained. There are also many different types of classifiers that were used in student performance classification. A few classifiers had been reviewed to gain understanding in their performance towards the data classification of students’ performance.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Mohd Zaki, Muhammad Hareez
UNSPECIFIED
Abdul Aziz, Mohd Azri
azriaziz@uitm.edu.my
Sulaiman, Suhana
UNSPECIFIED
Hambali, Najidah
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Mathematical statistics. Probabilities > Data processing
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Data mining
Divisions: Universiti Teknologi MARA, Shah Alam > College of Engineering
Journal or Publication Title: Journal of Electrical and Electronic Systems Research (JEESR)
UiTM Journal Collections: UiTM Journal > Journal of Electrical and Electronic Systems Research (JEESR)
ISSN: 1985-5389
Volume: 23
Number: 1
Page Range: pp. 69-79
Keywords: Student performance classification, data, features, classifiers
Date: October 2023
URI: https://ir.uitm.edu.my/id/eprint/86031
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