AI-generated practice questions

Specify exam, chapter, difficulty and question type. Vague prompts produce textbook exercises, not exam questions.

• Name the exam and the paper pattern
• Name one chapter and one concept
• Set the difficulty band explicitly
• Ask for solutions separately so you attempt first
• Ask for three variations of a question you got wrong

Before a generated question enters your practice set, check that the concept is in the current syllabus, the numbers are physically sensible, the options do not contain two correct answers and the difficulty matches the exam rather than a textbook.

PYQs are the only questions written by the actual examiners. Use AI to generate additional volume around your weak chapters after you have worked the real papers, not instead of them.

If you ask AI for the answer, you get the answer and lose the skill. Escalate your prompts in this order and your accuracy in the real exam improves instead of your dependence.

• Weak: "Give me the answer."
• Better: "Give me one hint, not the solution."
• Best: "Here is my attempt and my reasoning — tell me exactly where it breaks."
• Target loop: Think → Attempt → Get feedback → Correct → Practise → Master.
• Anti-pattern: Ask AI → copy answer → move on.

Every benefit below has a matching failure mode. Name them out loud with your student so they are managed rather than discovered in February.

• Hallucination: convincing but wrong facts, formulae or values — verify against NCERT and official syllabi.
• Overdependence: problem-solving stamina drops when AI does the first step every time.
• Academic integrity: work submitted without understanding teaches nothing and shows up in tests.
• Data privacy: educational AI processes sensitive student data; UNESCO's guidance stresses human-centred, age-appropriate, privacy-respecting use.
• Bias: models reproduce the biases in their training data and design.
• Reduced human contact: teachers, mentors, peers and family still drive most of a student's progress.