Asking AI to write a practice exam for you — generating the questions rather than providing the answers — is a form of generative testing that forces you to engage with what you have learned at a meta-level. The questions you generate reveal what you think is important and where you are uncertain. This concept covers generative testing as a self-assessment practice in AI-assisted learning.
Generative testing is the practice of prompting an AI to create original practice questions, case studies, or problem sets from your study material — rather than searching for pre-made quizzes. Unlike passive review, it forces you to engage with content at the level of application and synthesis, not just recognition.
For learners, this matters because high-quality practice questions are often the scarcest resource in self-study. AI makes generative testing available on demand, tailored to exactly the material you are struggling with and calibrated to the difficulty level you specify.
Paste a chapter summary or set of lecture notes into ChatGPT and prompt: 'Generate 10 exam-style questions at the analysis level of Bloom's Taxonomy based on this material. Include one trick question and provide an answer key with explanations.' Review the questions, attempt them without looking at the key, then use the explanations to identify your weakest areas.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
Explore related journeys or tell Peri what you're working through.