Scaffolding GenAI Literacy and Fluency at Scale: A Practical Self-Assessment Framework for Personalised Learning

As generative AI (genAI) tools become increasingly embedded in higher education and professional contexts, there is a growing need for scalable, theoretically grounded instruments that are also practical and easy to implement. This paper presents the development of a formative self-assessment instrument for genAI literacy and fluency, designed to facilitate personalised, self-determined learning. Grounded in Bloom’s revised taxonomy, and mapped to the UNESCO AI Competency Framework, the instrument comprises 28 behavioural indicators across cognitive and knowledge domains. The resulting two-dimensional matrix supports the identification of developmental learning objectives and learner needs, offering a clear and actionable alternative to existing abstract competency frameworks. The instrument underwent three rounds of expert review, which included targeted input from a legal and digital ethics expert. This work offers a timely and practice-oriented contribution to AI literacy efforts, enabling educators, designers, and learners to engage with genAI in informed, ethical, and learner-centred ways.