Smart Exam Paper Builder

Problem Addressed

When teachers prepare unit tests or mock exams, the hard part is not finding questions, but keeping question structure, knowledge coverage, difficulty gradient, item-type ratios, point values, and exam time under control. Students who want to self-test weak areas also need a reusable constraint template instead of random drilling. This skill turns exam requirements into explicit inputs: grade/subject/chapter, item count, difficulty ratio, and question-type ratio, reducing ad hoc paper assembly.

How It Works

It follows a fixed workflow: collect constraints, list target knowledge points and check coverage for completeness and progressive difficulty, arrange the paper using subject conventions such as multiple choice → fill-in-the-blank → solution, label item numbers, points, and estimated time, then provide reference answers, key-step scoring, and grading rubrics. For wrong-answer-based papers, users can provide knowledge points or item numbers from previous errors; the skill aggregates weak points and rebuilds the difficulty distribution into a targeted self-test. If constraints are missing, item count exceeds a reasonable duration, or knowledge points overlap, it asks for clarification, suggests lowering item count or increasing time, and flags items for teacher review.

Boundaries and Cautions

This skill is intended for practice papers, mock exams, and chapter quizzes. It is not for official national or provincial exam proposition, and it should not generate, reconstruct, or reuse unpublished, classified, or copyright-protected test items. Generated questions are illustrative, and difficulty coefficients are estimates based on item type rather than measured data. Outputs should be reviewed and trial-run by teachers, with current curricula and local exam syllabi as the final reference.