A predictive model of the enrolment in the key subject of STEM education using the machine learning paradigm

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A predictive model of the enrolment in the key subject of STEM education using the machine learning paradigm

The presence of a global health crisis on coronavirus pandemic (COVID-19) has been accelerated the global uptakes the transformation towards the digital economy. Consequently, the rapid digital transformation has risen the demands of technologically competent workforces in which open the big doors f...

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Bibliographic Details
Main Authors:	Chuan, Zun Liang, Norhayati, Rosli, Fam, Soo Fen, Tan, Ee Hiae
Format:	Conference or Workshop Item
Language:	English English
Published:	Academic International Dialogue (AID) 2021
Subjects:	LB1603 Secondary Education. High schools QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/32122/ http://umpir.ump.edu.my/id/eprint/32122/1/IMIC%202021.pdf http://umpir.ump.edu.my/id/eprint/32122/7/A%20predictive%20model%20of%20the%20enrolment%20in%20the%20key%20subject%20of%20STEM%20education%20.pdf

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