An adaptive revision app could use recent answers to suggest topics that need more practice. The question bank, topic structure and quality of explanations matter as much as the matching algorithm.
Incorrect answers may reflect misunderstanding, unclear wording or a simple mistake. The system should avoid treating a small sample as a definitive measure of ability. Learners and teachers need understandable reasons for suggested practice and a way to choose a topic directly.
Start with one subject and a reviewed question set. Test repeated mistakes, guessed answers and learners returning after a break. The app can guide practice and show activity trends, while avoiding unsupported promises about grades or using an opaque score as a formal educational judgement.
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