The Art of the Ask - He Tapatahi o te Pātai
Prompt engineering is the skill of crafting effective inputs (prompts) to guide a Large Language Model towards a desired output. It's like being a great director for a very talented but very literal actor - the clearer your instructions, the better the performance.
Te Ao Māori Connection
In Māori communication traditions, clarity and respect are fundamental. When we interact with AI, we bring these same values - clear intent, respectful language, and understanding that words have power (mana).
The Four Pillars of Effective Prompting
1. Be Specific and Clear
2. Provide Context
3. Assign a Persona
4. Use Examples (Few-Shot Prompting)
Hello → Kia ora
Goodbye → Haere rā
Thank you → ?"
Advanced Prompting Strategies
Chain of Thought Prompting
Encourage the AI to show its reasoning process step by step.
Role-Based Prompting
Have the AI take on specific professional or cultural perspectives.
Constraint Setting
Set clear boundaries and limitations for the response.
Cultural Sensitivity in Prompting
🌿 Respecting Indigenous Knowledge
When asking about Māori or other indigenous topics, acknowledge the cultural significance and ask for culturally appropriate responses.
🤝 Inclusive Language
Use inclusive pronouns and language that represents diverse perspectives.
⚖️ Balanced Perspectives
For historical or controversial topics, explicitly ask for multiple viewpoints.
Practice Activity: Prompt Makeover
Instructions: Rewrite these weak prompts using the techniques you've learned.
Weak Prompt #1:
"Tell me about climate change."
Your Improved Version:
Weak Prompt #2:
"Write a story."
Your Improved Version:
Ethical Considerations
Before You Prompt, Ask Yourself:
- Am I asking for something that respects cultural protocols?
- Could my prompt lead to biased or harmful outputs?
- Am I being transparent about using AI assistance?
- Does my prompt encourage critical thinking rather than just accepting AI responses?
- Am I considering data sovereignty and privacy implications?
Curriculum Connections
Digital Technologies
- Human-computer interaction principles
- Understanding AI system capabilities and limitations
- Digital citizenship and responsible AI use
English/Literacy
- Clear and effective communication
- Purpose, audience, and context in writing
- Critical evaluation of information sources