Sample prompts for lesson design, quizzes, and AI demonstrations
"Create a comprehensive lesson plan for [TOPIC] targeting [STUDENT LEVEL]. Include: learning objectives, key concepts, teaching activities (30-45 min), real-world examples, hands-on exercises, and assessment questions. Make it engaging and interactive."
"Generate a slide-by-slide outline for a presentation on [TOPIC]. For each slide, provide: title, key points (3-5 bullets), visual suggestion, and speaker notes. Total: 15-20 slides for a 45-minute lecture."
"Explain [COMPLEX CONCEPT] to students with [BACKGROUND LEVEL]. Use: simple language, real-world analogies, step-by-step breakdown, and visual metaphors. Then provide 3 example problems with solutions."
"Create 10 multiple-choice questions about [TOPIC]. Include: 1 correct answer and 3 plausible distractors for each. Vary difficulty (3 easy, 4 medium, 3 hard). Provide answer key with brief explanations."
"Design 5 problem-based questions for [TOPIC] that test: conceptual understanding, application skills, and critical thinking. Include detailed solution rubrics and common student mistakes to watch for."
"Create a hands-on lab assignment for [TOPIC]. Include: clear objectives, step-by-step instructions, expected outputs, grading criteria, and 3 challenge extensions for advanced students."
"Create a live coding demonstration for [ALGORITHM/CONCEPT]. Include: starter code template, step-by-step build sequence, inline comments explaining each step, common errors to demonstrate, and final working code."
"Build an interactive Python/JavaScript example demonstrating [CONCEPT]. Make it: runnable in Jupyter/browser, with adjustable parameters, clear output visualization, and explanatory markdown cells."
"Create a real-world application example of [TOPIC] relevant to [INDUSTRY/DOMAIN]. Include: problem statement, data sample, complete code solution, output interpretation, and discussion questions."
"Explain how [ML ALGORITHM] works for beginners. Include: intuitive explanation, mathematical foundation (simplified), Python implementation, visual diagram description, and healthcare/business application example."
"Create a case study on AI application in healthcare for [SPECIFIC USE CASE]. Include: clinical context, AI solution overview, implementation challenges, ethical considerations, and student discussion questions."
"Design a 2-hour workshop on 'AI for Business Decision-Making'. Include: learning objectives, theoretical concepts, hands-on exercises using real business data, group activities, and key takeaways."