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Empowering Industry 5.0: Nurturing STEM tertiary education and careers through additional mathematics

The rise of Industry 5.0 underscores the need to foster STEM professionals for economic progress. However, the drop in urban Pahang's upper-secondary students enrolled in Additional Mathematics poses challenges evident in STEM labor force data. Addressing this, a qualitative study, following th...

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Main Authors: Chuan, Zun Liang, Abraham Lim, Bing Sern, Tan, Chek Cheng, David Lau, King Luen, Japashov, Nursultan, Tan, Ee Hiae
Other Authors: Safaa Najah, Saud Al-Humairi
Format: Book Chapter
Language:English
English
English
Published: IGI Global 2024
Subjects:
HA Statistics
HD Industries. Land use. Labor
HM Sociology
L Education (General)
QA Mathematics
Online Access:http://umpir.ump.edu.my/id/eprint/42280/1/Book%20Chapter%20%28Chapter%205%29.pdf
http://umpir.ump.edu.my/id/eprint/42280/7/Utilizing%20Renewable%20Energy.pdf
http://umpir.ump.edu.my/id/eprint/42280/8/Empowering%20Industry%205.0.pdf
http://umpir.ump.edu.my/id/eprint/42280/
https:/doi.org/10.4018/979-8-3693-2814-9.ch005
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spelling my.ump.umpir.422802024-08-12T02:03:11Z http://umpir.ump.edu.my/id/eprint/42280/ Empowering Industry 5.0: Nurturing STEM tertiary education and careers through additional mathematics Chuan, Zun Liang Abraham Lim, Bing Sern Tan, Chek Cheng David Lau, King Luen Japashov, Nursultan Tan, Ee Hiae HA Statistics HD Industries. Land use. Labor HM Sociology L Education (General) QA Mathematics The rise of Industry 5.0 underscores the need to foster STEM professionals for economic progress. However, the drop in urban Pahang's upper-secondary students enrolled in Additional Mathematics poses challenges evident in STEM labor force data. Addressing this, a qualitative study, following the CRISP-DM framework, explores exogenous variables influencing Additional Mathematics enrollment. The proposed modified stacked AI predictive algorithm shows superior accuracy to benchmark algorithms. A bootstrapped paired t-test assesses underfitting and overfitting, highlighting teacher and peer influence, mathematics self-efficacy, ethnicity, and educational disciplines as significant exogenous variables. This research amplifies the importance of robust STEM initiatives, aligning with Malaysia's 60:40 STEM to non-STEM goal, contributing to technological advancement and high-income aspirations. IGI Global Safaa Najah, Saud Al-Humairi 2024-08 Book Chapter PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42280/1/Book%20Chapter%20%28Chapter%205%29.pdf pdf en http://umpir.ump.edu.my/id/eprint/42280/7/Utilizing%20Renewable%20Energy.pdf pdf en http://umpir.ump.edu.my/id/eprint/42280/8/Empowering%20Industry%205.0.pdf Chuan, Zun Liang and Abraham Lim, Bing Sern and Tan, Chek Cheng and David Lau, King Luen and Japashov, Nursultan and Tan, Ee Hiae (2024) Empowering Industry 5.0: Nurturing STEM tertiary education and careers through additional mathematics. In: Utilizing Renewable Energy, Technology, and Education for Industry 5.0. IGI Global, Pennsylvania, USA, pp. 124-155. ISBN 9798369328149 https:/doi.org/10.4018/979-8-3693-2814-9.ch005
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
English
topic HA Statistics
HD Industries. Land use. Labor
HM Sociology
L Education (General)
QA Mathematics
spellingShingle HA Statistics
HD Industries. Land use. Labor
HM Sociology
L Education (General)
QA Mathematics
Chuan, Zun Liang
Abraham Lim, Bing Sern
Tan, Chek Cheng
David Lau, King Luen
Japashov, Nursultan
Tan, Ee Hiae
Empowering Industry 5.0: Nurturing STEM tertiary education and careers through additional mathematics
description The rise of Industry 5.0 underscores the need to foster STEM professionals for economic progress. However, the drop in urban Pahang's upper-secondary students enrolled in Additional Mathematics poses challenges evident in STEM labor force data. Addressing this, a qualitative study, following the CRISP-DM framework, explores exogenous variables influencing Additional Mathematics enrollment. The proposed modified stacked AI predictive algorithm shows superior accuracy to benchmark algorithms. A bootstrapped paired t-test assesses underfitting and overfitting, highlighting teacher and peer influence, mathematics self-efficacy, ethnicity, and educational disciplines as significant exogenous variables. This research amplifies the importance of robust STEM initiatives, aligning with Malaysia's 60:40 STEM to non-STEM goal, contributing to technological advancement and high-income aspirations.
author2 Safaa Najah, Saud Al-Humairi
author_facet Safaa Najah, Saud Al-Humairi
Chuan, Zun Liang
Abraham Lim, Bing Sern
Tan, Chek Cheng
David Lau, King Luen
Japashov, Nursultan
Tan, Ee Hiae
format Book Chapter
author Chuan, Zun Liang
Abraham Lim, Bing Sern
Tan, Chek Cheng
David Lau, King Luen
Japashov, Nursultan
Tan, Ee Hiae
author_sort Chuan, Zun Liang
title Empowering Industry 5.0: Nurturing STEM tertiary education and careers through additional mathematics
title_short Empowering Industry 5.0: Nurturing STEM tertiary education and careers through additional mathematics
title_full Empowering Industry 5.0: Nurturing STEM tertiary education and careers through additional mathematics
title_fullStr Empowering Industry 5.0: Nurturing STEM tertiary education and careers through additional mathematics
title_full_unstemmed Empowering Industry 5.0: Nurturing STEM tertiary education and careers through additional mathematics
title_sort empowering industry 5.0: nurturing stem tertiary education and careers through additional mathematics
publisher IGI Global
publishDate 2024
url http://umpir.ump.edu.my/id/eprint/42280/1/Book%20Chapter%20%28Chapter%205%29.pdf
http://umpir.ump.edu.my/id/eprint/42280/7/Utilizing%20Renewable%20Energy.pdf
http://umpir.ump.edu.my/id/eprint/42280/8/Empowering%20Industry%205.0.pdf
http://umpir.ump.edu.my/id/eprint/42280/
https:/doi.org/10.4018/979-8-3693-2814-9.ch005
_version_ 1822924604027437056
score 13.234276

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