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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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Academic International Dialogue (AID)
2021
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| Subjects: | |
| Online Access: | 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 http://umpir.ump.edu.my/id/eprint/32122/ https://imicaidconference.weebly.com/imic-2021-e-proceeding.html |
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Internet
http://umpir.ump.edu.my/id/eprint/32122/1/IMIC%202021.pdfhttp://umpir.ump.edu.my/id/eprint/32122/7/A%20predictive%20model%20of%20the%20enrolment%20in%20the%20key%20subject%20of%20STEM%20education%20.pdf
http://umpir.ump.edu.my/id/eprint/32122/
https://imicaidconference.weebly.com/imic-2021-e-proceeding.html