Sample the required skills
Select a manageable set of questions across the main assessed outcomes. Include application or explanation where the course requires it. Note any topics the sample leaves out. If AI helps draft questions, check that the answer, wording and difficulty match your lecture material before relying on the result.
Record reasoning and confidence
Attempt the sample without notes, marking confidence before checking. Separate a correct explanation from a guessed correct option. For a wrong answer, identify whether the gap is factual recall, an unclear concept, method choice or execution. These lead to different revision tasks.
Convert results into a first queue
Start with weak prerequisites and important outcomes, then schedule a fresh check after repair. Avoid overreacting to one unusual question or treating an unsampled topic as secure. Repeat selected skills with different questions so your progress reflects learning rather than memorizing the diagnostic.
Worked example
A twelve-question sample covers six outcomes. Two correct answers were guesses, one calculation used the wrong method and three explanations omitted conditions. The first revision queue therefore includes method selection and explaining conditions, alongside verification of the guessed items. It does not merely label the student '50% ready' or prescribe equal reading time for every chapter.
Before you finish
- The sample identifies what it does and does not cover.
- Guessed correct answers remain visible for review.
- Every major gap leads to a specific repair task and a fresh check.