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The Smart Teacher: AI Prompting Series is a 30-day practical learning experience designed to equip educators with the skills to effectively use AI tools like ChatGPT in teaching, lesson planning, assessment, and professional tasks.
This program focuses on real classroom applications, helping teachers save time, improve lesson delivery, and enhance student engagement using simple but powerful AI prompting techniques.
By the end of the series, participants will be able to confidently design lessons, generate assessments, provide feedback, and create engaging learning experiences using AI.
Powered by EdTech Lab Ghana, this initiative supports educators in becoming future-ready in a rapidly evolving digital world.
DAY 1 SUMMARY: What is AI Prompting?
AI prompting is the skill of giving clear and specific instructions to AI tools like ChatGPT to get useful results.
The quality of the output depends on the quality of the prompt.
❌ Weak prompts are vague and unclear
✅ Strong prompts include the topic, learner level, and clear instruction
Teachers can use effective prompting to support lesson planning, explanations, and assessments.
Tip:
Better prompts lead to better teaching support from AI.
DAY 2 SUMMARY: Good Vs Bad Prompts
The quality of your prompt determines the quality of AI output.
Vague prompts give unclear results; specific prompts give useful, ready-to-use answers.
A good prompt should include: topic, task, level, and format.
Clear prompting saves time and improves teaching effectiveness.
Tip: If your prompt is not clear, refine it until it is.
DAY 3 SUMMARY: Be Specific
Specificity is power in AI prompting.
The more details you give, the better the output. Whether you're a teacher, student, or professional, clear and detailed prompts help you get more accurate and useful results.
Example:
“Create a 60-minute lesson plan on fractions for Year 5 with examples and activities.”
See the difference? The more context you provide, the smarter the response.
DAY 4 SUMMARY: Add Context
AI works better when it understands your environment.
When you include local context, your results become more relevant, practical, and impactful—especially in education.
Example:
“Act as a Ghanaian teacher. Create a lesson on climate change using local examples.”
Now the lesson reflects familiar experiences, making it easier for learners to understand and connect.
Why it matters:
Context turns information into meaningful learning.
Task: Add local context to your next prompt.
Question: How important is local context in teaching?
DAY 5 SUMMARY: Define Output Format.
Tell AI how you want the answer, not just what you want.
Example:
“Create a table comparing solids, liquids, and gases.”
Structured outputs = less editing, clearer results, and faster workflow.
Task: Request a table or bullet points today.
Question: Do structured responses help your workflow?
DAY 6 SUMMARY: Control Difficult Level
You can adjust content to suit your learners.
Example:
“Explain algebra for beginners using simple language.”
AI allows you to easily shift between beginner, intermediate, and advanced levels. This helps you meet every learner where they are.
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