The generative AI-enabled era of learning design, where gen-AI tools are reshaping the way we teach and learn, has ushered in a new era of possibilities for course design. However, as with any new tool, there is a learning curve, and one aspect of gen-AI that requires careful consideration is how we write effective prompts. So, how can we maximise the efficacy of gen-AI outputs? When we first start using generative AI tools, we often find ourselves engaged in a back-and-forth conversation, fine-tuning prompts until we elicit the desired response. But using gen-AI through trial and error is a time-consuming process that may yield inconsistent outcomes. There exists a more efficient approach to prompt interaction – one that involves deliberate experimentation with various prompt combinations to create reusable prompts.
