A GenAI Competence Framework for Engineering Curriculum Enhancement in Higher Education

This paper proposes a Generative Artificial Intelligence (GenAI) Competence Framework for Engineering Curriculum Enhancement, designed to leverage GenAI’s potential to enrich teaching and learning, address challenges arising from misuse or unethical application of GenAI, and prepare graduates for AI-driven workplaces. Building upon the university’s AI literacy conceptual framework, this GenAI Competence Framework defines GenAI competence tiers, provides comprehensive strategies for integrating GenAI into engineering education, and offers practical implementation plans and impact assessment mechanisms that collectively form a sustainability roadmap. The framework's development was informed by extensive consultation with students, staff, and industry experts through surveys, focus groups, interviews, and program reviews, ensuring its practicality, adaptability, and alignment with real-world demands. By incorporating GenAI-empowered curriculum enhancements alongside supplementary extracurricular activities to bridge the digital divide, the framework aims to equip students with essential GenAI competencies while enriching their overall learning experience.

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Publication Details

Journal
Intelligent Technologies in Education
Published
2025-06-12
DOI
https://doi.org/10.53761/ited/1.2
Citations
2
Primary Topic
Engineering Education and Curriculum Development
Type
article
Field-Weighted Citation Impact
2.27
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article

A GenAI Competence Framework for Engineering Curriculum Enhancement in Higher Education

Jonathan Loo, Simon M. Lucas, Xue Jiao Zhou, Kok Keong Chai et al.
2 citations
Intelligent Technologies in Education
Engineering Education and Curriculum Development
2.27
article

A GenAI Competence Framework for Engineering Curriculum Enhancement in Higher Education

Jonathan Loo, Simon M. Lucas, Xue Jiao Zhou, Kok Keong Chai, Usman Naeem, Yue Chen, Vindya Wijeratnre
article en
2 citations

Abstract

This paper proposes a Generative Artificial Intelligence (GenAI) Competence Framework for Engineering Curriculum Enhancement, designed to leverage GenAI’s potential to enrich teaching and learning, address challenges arising from misuse or unethical application of GenAI, and prepare graduates for AI-driven workplaces. Building upon the university’s AI literacy conceptual framework, this GenAI Competence Framework defines GenAI competence tiers, provides comprehensive strategies for integrating GenAI into engineering education, and offers practical implementation plans and impact assessment mechanisms that collectively form a sustainability roadmap. The framework's development was informed by extensive consultation with students, staff, and industry experts through surveys, focus groups, interviews, and program reviews, ensuring its practicality, adaptability, and alignment with real-world demands. By incorporating GenAI-empowered curriculum enhancements alongside supplementary extracurricular activities to bridge the digital divide, the framework aims to equip students with essential GenAI competencies while enriching their overall learning experience.

Intelligent Technologies in Education
Queen Mary University of London (GB)
Openalex Percentile: Top 10%
Engineering Education and Curriculum Development
2.27
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A GenAI Competence Framework for Engineering Curriculum Enhancement in Higher Education — Jonathan Loo, Simon M. Lucas, et al. · Intelligent Technologies in Education (2025) | TGRS Research Map | TGRS