AI quiz generation transforms content into assessment materials automatically. Generation approaches: Extract key concepts from text, generate questions at specified difficulty levels, create distractor options for multiple choice, produce answer explanations. Question types: Multiple choice, true/false, fill-in-blank, matching, short answer, scenario-based. Bloom's taxonomy alignment: Generate questions targeting knowledge, comprehension, application, analysis, synthesis, evaluation levels. Quality considerations: Avoid trivial or ambiguous questions, ensure distractors are plausible, validate factual accuracy, balance difficulty distribution. Tools: Quizlet with AI, Quizizz, Kahoot AI suggestions, custom implementations with GPT. Use cases: Education (course assessments, study guides), corporate training, certification prep, content comprehension verification. Best practices: Review generated questions for accuracy, test with sample population, track question difficulty and discrimination metrics, iterate based on performance data. Advanced: Adaptive question generation based on learner performance, spaced repetition integration.