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 |
