How to create tests from educational material using AI: questions, answers, and error checking

This Habr article explores the process of creating assessment tests based on educational materials using artificial intelligence tools. The author emphasizes that automated question generation is an effective method for self-assessment, but it requires careful moderation. Common issues users face include hints within the wording, ambiguous questions, and answers that are not present in the source text. The article provides a methodology for preparing and verifying tasks intended for self-study rather than formal grading. The Kampus AI platform is mentioned as an example of a tool for organizing the learning process. The article highlights that AI serves only as an assistant, and final quality control must remain with the human to ensure the accuracy and pedagogical value of the educational materials.