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A GenAI Competence Framework for Engineering Curriculum Enhancement in Higher Education

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posted on 2025-06-16, 14:19 authored by Yup Chen, Kok Keong Chai, Vindya Wijeratnre, Usman Naeem, Jonathan Loo, Xue ZhouXue Zhou, Simon Lucas
<p dir="ltr">This paper proposes a Generative Artificial Intelligence (GenAI)<br>Competence Framework for Engineering Curriculum Enhancement,<br>designed to leverage GenAI’s potential to enrich teaching and learning,<br>address challenges arising from misuse or unethical application of<br>GenAI, and prepare graduates for AI-driven workplaces. Building upon<br>the university’s AI literacy framework, this conceptual GenAI<br>Competence Framework provides actionable guidelines on embedding<br>GenAI competence development in the Engineering Curriculum. It<br>defines structured competence tiers, outlines strategies for curriculum<br>integration, offers practical implementation plans, and establishes<br>impact assessment mechanisms. These four elements collectively<br>form an adaptive and continuous improvement cycle, ensuring the<br>framework remains responsive to technological advancements and<br>evolving stakeholder needs. Emphasising practicality, adaptability,<br>ethics, and alignment with real-world demands, the framework aims to<br>provide a robust foundation for equipping students with essential<br>GenAI competencies while enriching their overall learning experience.</p>

History

Author affiliation

College of Business Marketing & Strategy

Version

  • VoR (Version of Record)

Published in

Intelligent Technologies in Education

Publisher

Open Access Publishing Association

Copyright date

2025

Available date

2025-06-16

Language

en

Deposited by

Professor Xue Zhou

Deposit date

2025-06-12

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