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Generative AI for Achieving Instructional Alignment in TVET: A Conceptual Framework and Case Study

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Abstract
This paper explores the application of Generative AI (Gen-AI) to achieve instructional alignment in Technical and Vocational Education and Training (TVET) and Open and Distance Learning (ODL) contexts. Drawing on a COL-funded project implemented at APU, Malaysia, the study presents a conceptual framework mapping Gen-AI capabilities to key instructional design functions. Through structured training and hands-on practice, 40 educators across Commonwealth nations developed AI-aligned lessons. Results indicate improved alignment, content authenticity, and instructional efficiency, particularly in asynchronous learning contexts. Challenges included digital literacy and ethical considerations. The study concludes with implications for policy, educator training, and further research, affirming Gen-AI’s transformative potential when thoughtfully integrated into skills-based education systems. PCF11 Plus: Beyond the Forum Sub-Theme: Skills development through lifelong open education Paper ID: 5011
Subject
Open and Distance Learning (ODL) , Artificial Intelligence (AI) , Technical/Vocational Education and Training (TVET) , Instructional Design
Country
Malaysia
Region
Asia
DOI
Handle
https://hdl.handle.net/11599/6011
Rights
https://creativecommons.org/licenses/by-sa/4.0/
Collections
12. PCF11 Plus: Beyond the Forum
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Date
2025-09
Author
Kovilpillai, Jonathan , Singh, Abtar Darshan , Raza, Fahd , Hamdan, Analisa , Konno, Fumiko
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Publisher
Commonwealth of Learning (COL)
Series
Journal
Research Projects
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