A GenAI Competence Framework for Engineering Curriculum Enhancement in Higher Education
DOI:
https://doi.org/10.70770/0rxx9f87Keywords:
Higher Education, GenAI, AI in teaching and learning, Engineering Education, AI CompetenceAbstract
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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Copyright (c) 2024 Yue Chen, Kok Keong Chai, Vindya Wijeratnre, Usman Naeem, Jonathan Loo, Xue Zhou, Simon Lucas (Author)
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