Building educator capability for meaningful AI integration

Abstract

Generative AI (GenAI) is reshaping the practice of teaching and learning in higher education, creating new possibilities alongside significant complexity. While interest in AI tools continues to grow, meaningful adoption relies on approaches that are grounded in pedagogy, flexible, and responsive to context, rather than on technical proficiency alone. This paper reports on a project to embed AI capability development for educators, into existing professional learning programs, positioning AI as a tool to extend and enrich, rather than replace, innovative teaching practices. The project focuses on creating opportunities for educators to explore, test, and adapt AI tools within their specific teaching contexts, moving beyond generic training that often fails to address the complexities of practice. Design principles and implementation strategies prioritise equity, educator agency, and engagement, supporting sustainable and inclusive professional learning in online education. Early insights highlight the value of integrating AI capability into pedagogical initiatives rather than treating AI as a stand-alone technical skill. The outcomes of this work contribute a practical model for AI capability building that can inform future professional learning and institutional strategies for adaptable and innovative teaching in an era of continuous change.