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 framework, this conceptual GenAI
Competence Framework provides actionable guidelines on embedding
GenAI competence development in the Engineering Curriculum. It
defines structured competence tiers, outlines strategies for curriculum
integration, offers practical implementation plans, and establishes
impact assessment mechanisms. These four elements collectively
form an adaptive and continuous improvement cycle, ensuring the
framework remains responsive to technological advancements and
evolving stakeholder needs. Emphasising practicality, adaptability,
ethics, and alignment with real-world demands, the framework aims to
provide a robust foundation for equipping students with essential
GenAI competencies while enriching their overall learning experience.