Data Analytics in Malaysian Education System: Revealing The Success of Sijil Pelajaran Malaysia From Ujian Aptitud Sekolah Rendah

• Published in: Asia-Pacific Journal of information technology and multimedia Vol. 7; no. 2; pp. 29 - 45
• Main Authors: Mohd Khairy, Azhar, Adam, Afzan, Yaakub, Mohd Ridzwan
• Format: Journal Article
• Language: English
• Published: UKM Press 30.12.2018
• Subjects: aptitude test; data analytics; result tree; spm
• ISSN: 2289-2192; 2289-2192
• DOI: 10.17576/apjitm-2018-0702-03

Information on the student's cognitive abilities can help teachers to identify the strengths or potential of a student to plan a learning strategy. These data are collected through Ujian Aptitud Sekolah Rendah in year six (UASR), where the student's potential can be detected five years earlier before they take their Sijil Pelajaran Malaysia (SPM). Unfortunately, these data have not yet used as a criterion in the student's development plan. Therefore, this research has been done to see the strength of the connection between the student's potential in UASR and their results in SPM. Through data visualization, a strong connection between a student's potential in UASR and their succesfullness in SPM can be seen. 71.48% of students in the first cohort that have been proven to house high potential during thier year six in 2011 and 73.63% of the next cohort in 2012 have obtained a good SPM result that they took in 2016 and 2017 respectively. Further analisys using the decision tree technique shows a few other factors for the high potential student success in SPM. A few of them are their results in PT3, their grades in the Maths and Science subjects, academic stream, and the school's achievement for that particular stream for the year before.