Predicting students’ performance in English and Mathematics using data mining techniques
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...
Saved in:
Main Authors: | Muhammad Haziq, Bin Roslan, Chwen Jen, Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
SPRINGER
2022
|
Subjects: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predicting students’ performance in English and Mathematics using data mining techniques
by: Muhammad Haziq, Roslan, et al.
Published: (2022) -
The prediction of students' academic performance using classification data mining techniques
by: Fadhilah, Ahmad, et al.
Published: (2015) -
A data mining approach to predict academic performance of students using ensemble techniques
by: M. Ajibade, Samuel Soma, et al.
Published: (2020) -
Prediction of Students’ Performance in SPM English and Mathematics Using Data Mining Methods
by: Muhammad Haziq, Bin Roslan
Published: (2022) -
Data Analysis and Rating Prediction on Google Play Store Using Data-Mining Techniques
by: Kayalvily, Tabianan, et al.
Published: (2022)