03 / Independent use / Lesson 7 of 8
Use AI to support your learning
Build a study activity that requires you to think before seeing an answer.
01 / Understand
Keep the thinking with you
An explanation can feel easy to understand while you are reading it. That does not show you can use the idea without help. Try an answer first, explain your reasoning and then compare it with feedback. Use assistance to find a gap in your understanding rather than to avoid the attempt.
Ask for hints and a reference
For a topic you are studying, provide a short source you are allowed to use and request one question at a time. Ask for a hint before a full answer. Check any explanation against your course material: a tutor-like tone does not make an AI explanation authoritative.
Test transfer
After correcting an answer, try a new example with different details. In this course, that might mean checking a delivery promise after you have practised checking a workshop notice. Follow your school or workplace rules about AI use and acknowledge assistance when required.
02 / Worked example
Look closely at the result
A written teaching example, not a live AI response.
Teach me to distinguish a fact from a guess. Give one short example. Wait for my classification before giving feedback.
Source: 'The shop closes at 6 pm.' Claim: 'The shop closes early because business is slow.' Which part is supported?
Compare with the tutor’s review
The closing time is supported. The reason is not supplied. The exercise asks you to separate evidence from an added explanation, instead of memorising a definition.
03 / Your turn
Put it into practice
Answer the example, then design a different fact-versus-guess question. Include the answer separately so another learner can attempt it first.
Use fictional information. Nothing you write here is sent to a server or an AI. Download your work before leaving; it is not saved automatically.
04 / Check your understanding
One decision before you go
Take this with you
Attempt, explain, check, then try a different example.
Complete the practice, review each criterion and check your answer to finish your self-review. Every lesson remains open.
Next: Complete your first AI projectSources & course notes
Reviewed . Examples and exercises are original Aulafy teaching material under MIT. These references inform the course’s approach to reliability and learning; they are not endorsements.
- NIST: Generative AI risk profileBackground on unreliable outputs and evaluating risks.
- UNESCO: Generative AI in educationBackground on human agency, privacy and learning.