Engineering Malaysia’s competitive edge: prompt engineering as critical skill for future workforce development

Osman, Fairul Nazmie and Mohd Yassin, Ihsan and Baharom, Rahimi and Abdul Aziz, Mohd Azri and Taib, Mohd Nasir (2025) Engineering Malaysia’s competitive edge: prompt engineering as critical skill for future workforce development. Journal of Electrical and Electronic Systems Research (JEESR), 27 (1): 9. pp. 65-80. ISSN 1985-5389

Official URL: https://jeesr.uitm.edu.my

Identification Number (DOI): 10.24191/jeesr.v27i1.009

Abstract

As AI technologies, especially AIs (Large Language Models, LLMs)—reshape global economies, Prompt Engineering (PE) is emerging as a vital skill for effective human-Artificial Intelligence (AI) collaboration. This paper positions PE as a strategic competency for Malaysia’s workforce development, mapping it to Bloom’s Taxonomy and identifying core skills such as language proficiency, creativity, critical thinking, and interdisciplinary knowledge. It examines implementation pathways across Malaysia’s K–12 and tertiary education systems, highlighting challenges including digital divides, educator readiness, and sociocultural norms common in Asian contexts— such as deference to authority and aversion to questioning—that hinder the development of inquiry-based skills essential for effective PE. By analyzing international benchmarks and Malaysia’s unique educational and cultural landscape, the paper argues that integrating culturally contextualized PE into national curricula is essential to democratize AI literacy, bridge skill gaps, and position Malaysia competitively in the AI-driven global knowledge economy.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Osman, Fairul Nazmie
UNSPECIFIED
Mohd Yassin, Ihsan
UNSPECIFIED
Baharom, Rahimi
UNSPECIFIED
Abdul Aziz, Mohd Azri
UNSPECIFIED
Taib, Mohd Nasir
UNSPECIFIED
Subjects: T Technology > TA Engineering. Civil engineering > Engineering as a profession. Engineers
T Technology > TA Engineering. Civil engineering > Environmental engineering
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Journal or Publication Title: Journal of Electrical and Electronic Systems Research (JEESR)
UiTM Journal Collections: UiTM Journals > Journal of Electrical and Electronic Systems Research (JEESR)
ISSN: 1985-5389
Volume: 27
Number: 1
Page Range: pp. 65-80
Keywords: Artificial intelligence, Engineering education, Large language model, Prompt engineering
Date: October 2025
URI: https://ir.uitm.edu.my/id/eprint/126260
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