Predicting students’ STEM academic performance in Malaysian secondary schools using educational data mining

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Predicting students’ STEM academic performance in Malaysian secondary schools using educational data mining

Data mining has been widely applied in educational area recently and it is commonly called Educational Data Mining (EDM). Via data and success analysis, schools may recognize and improve learning plans for students who fail to fulfil their needs. It is necessary in the era of big data to treat da...

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Bibliographic Details
Main Author:	Termedi @ Termiji, Mohammad Izzuan
Format:	Thesis
Language:	English
Published:	2023
Subjects:	Education > Data processing. Academic achievement. Data Mining > Evaluation.
Online Access:	http://psasir.upm.edu.my/id/eprint/111826/ http://psasir.upm.edu.my/id/eprint/111826/1/FPP%202023%204%20IR.pdf

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