AI Learning for Pupils 16+
Responsible learning support for pupils aged 16+ and clear reassurance for parents: better questions, stronger understanding, careful verification, and respect for school rules.
Request a fit callRecommended starting point
A 60-minute individual session built around one learning goal. We practise asking useful questions, checking AI answers and explaining the result independently. You leave with a study checklist.
A 60-minute individual session, one worked example and a study checklist. I ask for brief private feedback while this new format develops.
Read the session, payment and cancellation arrangements
Illustrative agenda, adapted by agreement to your task. This is a planning example, not a guarantee that a project is solved in one session.
Bring an anonymised or synthetic example and the rules that apply. The agreed written plan records priorities and checks; ongoing implementation or unlimited support is not included unless separately agreed.
Inspect a sample plan and checklistInteractive process
Explore the stages and a worked example. Hover or focus to preview; click or tap to keep a stage selected.
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.
A value changes from 80 to 100. Why is that a 25% increase rather than 20%?
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.
If an AI answer says 20%, check which starting value it used instead of accepting the confident wording.
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.
Explain which value is the baseline. Give me a hint first, then let me try the calculation.
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.
The increase is 20. Compare it with the starting value: 20 ÷ 80 = 0.25 = 25%.
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.
Now a value rises from 50 to 60. Identify the starting value and calculate the change before asking AI.
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.
Check the calculation against your textbook. Follow school rules about when AI help is permitted.
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.
The change is 10 relative to 50, so 20%. Explain why the starting value—not the final value—is the baseline.
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.
Illustrative example: A value changes from 80 to 100. Why is that a 25% increase rather than 20%?
Result: A clear learning goal
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.
Illustrative example: If an AI answer says 20%, check which starting value it used instead of accepting the confident wording.
Result: Gaps and questionable claims identified
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.
Illustrative example: Explain which value is the baseline. Give me a hint first, then let me try the calculation.
Result: A useful, rule-compliant learning question
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.
Illustrative example: The increase is 20. Compare it with the starting value: 20 ÷ 80 = 0.25 = 25%.
Result: The idea becomes understandable
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.
Illustrative example: Now a value rises from 50 to 60. Identify the starting value and calculate the change before asking AI.
Result: A method the learner can practise
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.
Illustrative example: Check the calculation against your textbook. Follow school rules about when AI help is permitted.
Result: Understanding tested, errors caught
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.
Illustrative example: The change is 10 relative to 50, so 20%. Explain why the starting value—not the final value—is the baseline.
Result: Clarity and an independent next step
What we work on
A session starts with the pupil's actual learning goal, then uses a simple method: question, explanation, example, verification, and a final check of understanding.
Learn to ask useful questions, spot hallucinations, verify information, plan study, and explain the answer in your own words.
See what happens in a session, which tools are used, how school rules are respected, and where support stops.
An introductory small-group format starts from €150. Duration and group size are agreed first, and structured private feedback is requested afterwards.
No cheating, ghostwriting, take-home exam completion, bypassing school rules, or promises of a particular grade.
Learning boundaries
Support is educational, methodological and editorial. It does not replace your authorship, judgment, or assessed performance.
Questions before you decide
It is guided learning support. The learner practises asking, checking, explaining, and deciding; the session does not produce assessed work for submission.
Yes. A parent or guardian can join the opening or closing part when useful, and should make the inquiry for learners aged 16-17.
Sessions are not recorded by default. Any different arrangement would need to be agreed explicitly in advance.
The learner brings the relevant rules. When AI use is prohibited or unclear, the method respects that boundary rather than looking for a workaround.
A grounded next step
The short intake identifies the aim, constraints, and right format before any paid work begins.
