Kampus AI provides tools for generating self-assessment tests based on educational materials. Users can define specific learning objectives, such as recalling terms, explaining causal links, or applying rules, to create structured sets of questions.
The process involves creating a map of topics and skills, inputting source fragments, and requesting specific task types like definitions, comparisons, or error analysis. Users are advised to verify AI-generated content for ambiguity, leading hints, or incorrect answers.
Effective testing requires separating questions from answer keys. After attempting the test, users should analyze errors by identifying specific gaps in understanding rather than just marking answers as incorrect. This helps in refining future study sessions.
To prevent rote memorization, users can modify examples and question sequences while maintaining the core learning objective. Kampus AI can be used to generate new tasks with different constraints to deepen understanding of the material.
