Stage 1 / 7Pinned
Set the learning goal
We begin with the actual school task and identify the exact point that is not yet understood. Naming the confusion turns a broad problem into a concrete learning goal.
What this producesA clear learning goal
Stage 2 / 7Preview
Inspect the AI answer
We look at what the system actually produced: which claims are useful, which steps are missing, and where confident language may conceal an error. The first answer is material to examine, not a solution to copy.
What this producesGaps and questionable claims identified
Stage 3 / 7Preview
Ask for reasoning
A vague prompt becomes a question that requests an explanation, intermediate steps, and the right level of difficulty. Good questions turn AI into a study aid rather than an answer machine.
What this producesA useful, rule-compliant learning question
Stage 4 / 7Preview
Work through the explanation
The concept is worked through step by step in language that fits the learner. A useful explanation makes the reasoning visible instead of supplying a finished answer.
What this producesThe idea becomes understandable
Stage 5 / 7Preview
Try a related example
The explanation is applied to a concrete example, with the learner predicting or completing the next step. Transfer shows whether the method can be used independently.
What this producesA method the learner can practise
Stage 6 / 7Preview
Verify sources and rules
Facts, sources, and school rules are checked; then the idea is explained independently or applied to a similar problem. This catches hallucinations and borrowed answers.
What this producesUnderstanding tested, errors caught
Stage 7 / 7Preview
Explain it independently
The learner identifies what is understood, what remains uncertain, and when AI should not be used. Success is taking the next step without an answer machine.
What this producesClarity and an independent next step