Prompt engineering refers to the different ways you can instruct a gen AI tool. A clear and precise prompt is more likely to provide a relevant output. Prompting the gen AI tool to respond with a certain perspective, can help put things into your context and level of learning.
Things to consider with prompt engineering for your studies:
Applying a structure to your prompt can produce a more relevant output.
Using RICE as a guide, provide as much context, detail and boundaries as possible:
R - Role
I - Instructions
C - Context
E - Expectations
Example 1:
Prompt:
R - Role - Act as a university tutor
I - Instructions - Help a 3rd year uni student develop a search strategy for a presentation
C - Context - On abstract impressionism and cultural appropriation; include your current search plan
E - Expectation - Give me five points to consider to help me improve this strategy.
“Act as a university tutor for 3rd year visual arts student. I need to develop a search strategy for a presentation on abstract impressionism and cultural appropriation. My current strategy is [include details]. Give me five points to consider to help me improve this strategy.”
Example 2:
Prompt:
R - Role – Act as a university tutor in nursing and health sciences
I - Instructions – Help a 2nd or 3rd year nursing student plan and structure a 2,000-word evidence-based case study
C - Context – The case study focuses on a patient with type 2 diabetes and includes nursing interventions, patient education, and evidence-based practice
E - Expectation – Provide five key planning tips to help structure and develop a strong, well-supported case study
Full Prompt:
“Act as a university tutor in nursing and health sciences. I’m a 3rd year nursing student preparing a 2,000-word evidence-based case study on a patient with type 2 diabetes. The case study needs to include nursing interventions, patient education, and evidence-based practice. Can you give me five key planning tips to help me structure and develop a strong, well-supported case study?”
Watch: Prompt engineering.
For more detail on prompt engineering see the Academic Skills @ ECU page on Understanding Generative AI.
Prompt engineering for GenAI image generators is similar to engineering for text-based GenAI, except the Context is less important, and the Task and Outcome parts are more visual. Consider:
All this is in addition to the Content.
For example, the prompt:
Can you make me a close-up photo of a clown in a space suit with dramatic lighting
Will be very different to:
Please make a wide-angle image of a clown in a space suit in Cubist style.
The Academic Skills @ ECU Canvas site has further strategies and examples of how to best prompt gen AI, including Brainstorming prompts, Editing prompts, and how to prompt for useful Feedback.