STEAM education across Years 7–10 had an opportunity to deepen interdisciplinary engagement while easing the planning burden that often falls on teachers delivering cross-curricular content. This pilot was designed to explore how generative AI tools could enhance student creativity and motivation, support teacher collaboration through AI-assisted co-design, and reduce workload and resource barriers all while embedding ethical and culturally responsive frameworks throughout.
I led this initiative from a learning design perspective, applying professional methodologies to explore the instructional, technological, and emotional impact of AI-integrated STEAM projects. My responsibilities spanned research design, curriculum adaptation, data analysis, and strategic recommendations for future implementation, positioning this as a genuine action research project rather than a simple classroom trial.
Scaffold AI tools for teachers via phased professional development
Use student-generated data to iterate and refine design
Prioritise opt-in and opt-out models for ethical AI use
Encourage reflective practice from both teachers and students
This pilot demonstrated how thoughtfully integrated AI can enhance interdisciplinary learning while supporting both student agency and teacher wellbeing. It models a scalable, ethical, and evidence-informed approach to future-ready learning design. Like climbing, learning design is about navigating challenge, supporting others, and growing through each step, this project tested and strengthened my design agility and resilience, and gave me genuine confidence in conducting research-informed pilots at scale.