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 ### ✅ Assessment of Large Language Models’ Ability to Generate Relevant and High-Quality Questions at Different Bloom’s Skill Levels
 We examined the ability of five state-of-the-art LLMs to generate relevant and high-quality questions of different cognitive levels, as defined by Bloom's taxonomy. We prompted each model with the same instructions and different contexts to generate 510 questions. Two human experts used a ten-item rubric to assess the linguistic and pedagogical relevance and quality of the questions. Our findings suggest that LLMs can generate relevant and high-quality educational questions of different cognitive levels, making them useful for creating assessments.