generate-questions

To generate multiple-choice questions for a knowledge mapping domain, provide a domain ID, concept, Wikipedia article text, and difficulty level to an automated pipeline that outputs factually accurate questions and distractors as JSON.

Ensuring factual accuracy when generating assessment questions requires an iterative pipeline that integrates web searches and article reviews to verify the correctness of both the generated questions and their corresponding answers.

You can control the difficulty level of AI-generated questions by specifying a target level from 1 to 4, allowing the pipeline to assess varying depths of understanding for your knowledge mapping integration.

An iterative question generation pipeline creates well-formed distractors through a multi-step process that first generates and reviews questions and answers, then generates and reviews distractors before compiling the final JSON output.

Automating multiple-choice question creation for a specific concept requires four inputs: the target domain ID, the concept name, relevant Wikipedia article text, and the desired difficulty level.