Predicting students’ performance in English and Mathematics using data mining techniques

• Main Authors: Muhammad Haziq, Bin Roslan, Chwen Jen, Chen
• Format: Article
• Language: English
• Published: SPRINGER 2022
• Subjects: Q Science (General); QA75 Electronic computers. Computer science; T Technology (General)
• Online Access: http://ir.unimas.my/id/eprint/40463/1/Predicting%20students%E2%80%99%20performance%20in%20English-1.pdf; http://ir.unimas.my/id/eprint/40463/; https://link.springer.com/article/10.1007/s10639-022-11259-2; https://doi.org/10.1007/s10639-022-11259-2
• Institution: Universiti Malaysia Sarawak

This study attempts to predict secondary school students’ performance in English and Mathematics subjects using data mining (DM) techniques. It aims to provide insights into predictors of students’ performance in English and Mathematics, characteristics of students with diferent levels of performa...