Creating a question paper involves more than typing. Educators need to choose appropriate topics, check answers and prepare a format their students can use. AI can assist with drafting, but subject expertise remains essential.
ThePrepLab offers two ways to draft new questions: structured filters and written prompts. Converting an existing PDF paper is a separate extraction workflow.
Choose the right starting point
If you need new questions, use generation. If you need to preserve a PDF paper, use extraction. If you already have reviewed questions, select from your bank. These workflows can meet the same teaching goal but need different checks. A generated question should be independently solved; an extracted question also needs comparison with its source.
Download the AI quiz review log. It is a free, editable worksheet. Use anonymous IDs, not student personal data. The example below is an original illustration, not a recorded product output or an accuracy benchmark.
A prompt that makes the teaching goal clear
Draft four single-answer multiple-choice questions on solving two-step linear equations for a class that has practised inverse operations. Use integer solutions. For each question, give four distinct options, the intended answer, a worked solution and the learning objective. Exclude simultaneous equations and fractions. Flag any assumption you need the teacher to resolve.
Write the objective before asking for a quantity. If the objective is to explain a method, add a written-reasoning task: selecting an option alone does not demonstrate the full explanation. A request for a difficulty level is a drafting instruction, not evidence that the resulting item has that difficulty for your students.
Worked review: an answer can be right while the item is wrong
Consider this illustrative draft: “Solve 3x + 2 = 14,” with options A: 4, B: 12, C: 4, D: 6, and key A. The calculation is correct: subtract 2 to get 3x = 12, then divide by 3 to get x = 4. But both A and C are correct, so the item fails a single-answer requirement.
One possible correction is A: 4, B: 12, C: 3, D: 6. Verify the new options, explanation and saved key together. Do not stop after correcting the displayed text: a stale key or a different option order can still mark a correct student response incorrectly. Keep the original draft and correction in the review log.
What should an educator approve?
- The question assesses the objective and does not rely on untaught prerequisites.
- The answer and explanation have been independently checked.
- The number of correct options matches the question format.
- Units, notation, diagrams and required conditions are clear.
- Marking, time, access and solution visibility are correct in the student view.
Carnegie Mellon’s exam-design guidance explains why question format and instructions should match the assessed objective. It does not endorse any AI generator. The example here illustrates a review procedure, not a guarantee that all errors will be found.
1. The Filter Method (Speed & Structure)
Select the subject, chapters, difficulty and question types to define a draft. Check the generated coverage against your syllabus rather than assuming the selected filters guarantee correctness.
Start with a small draft so your educator can review the output before generating a larger paper.
- Select your target subject and chapter.
- Choose the difficulty level (Easy, Medium, Hard).
- Set the total number of questions.
- Click Generate. Review the generated draft against your intended topic balance.
2. The Raw Query Method (Ultimate Control)
Write a prompt describing the exam, topics, question count, difficulty and preferred format. This generates new draft content; it is not the same as extracting questions from an uploaded PDF.
Need a highly specialized test for a top-tier batch? Talk to our AI exactly like you would talk to a teaching assistant.
This is an illustrative prompt, not a verified output example. Check that the resulting questions fit the requested syllabus and difficulty, and independently verify each answer and solution.
3. Smooth App Publishing
After educator approval, configure your test settings and student access. Preview the assessment on the supported devices in your package before releasing it.
Check question wording, answer keys, marking rules, equations, diagrams and solution visibility. Correct any issues before publication. AI output and source extraction can contain errors; app availability and usage limits depend on your agreed package.
Continue your assessment workflow
Already have source papers? Use PDF extraction. For delivery and launch checks, read the online test series guide. Review AI generator capabilities and request current pricing.
How do I measure whether AI helps?
Record accepted, corrected and rejected questions, the reasons for correction and the total faculty review time. Compare complete workflows for similar papers—not generation speed alone. Keep a small sample of rejected drafts so your team can improve prompts and detect recurring issues. No universal time-saving or accuracy percentage is claimed.
Can an AI quiz generator publish without review?
Do not use unattended publication as your academic quality process. A fluent solution can be incorrect, a valid question can have a wrong key, and an appropriate question can render badly. Preview the student experience and keep a named release owner.
Watch the generation tutorial with written steps, plan coverage with the test blueprint, or troubleshoot PDF-to-question-paper extraction. For systematic review, use the question review guide.
By ThePrepLab. Updated 8 October 2026. Teacher review is required; examples are illustrative. Our editorial approach.