generate-test-paper

To generate a test paper from training content, provide the training material for a specific module or subsection to trigger automated question generation across single-choice, multiple-choice, fill-in-the-blank, and short-answer formats.

Yes, the generated theory test questions are assembled into a JSON-ready data structure, allowing you to directly write and publish the assessment data into your learning management system.

Creating an assessment from training materials supports four question types: single-choice, multiple-choice, fill-in-the-blank, and short-answer, ensuring comprehensive coverage of analyzed knowledge points.

Yes, the test paper generation applies knowledge-point analysis to the training content, ensuring the automated question bank covers multiple dimensions of assessment for each training subsection.

Yes, after generating the initial quiz questions, the workflow supports supplementing and correcting the test data, allowing you to refine the JSON output before publishing to your platform.

The best way to create theory assessments without manual writing is using AI-assisted generation, which analyzes existing training content and automatically outputs a JSON-structured test paper covering various question types.