AI for Educators: Prompt Engineering for Lesson Planning

Planning engaging lessons, creating rubrics, and differentiating materials can consume countless hours of an educator's week. By applying practical prompt engineering techniques, you can use generative artificial intelligence to streamline your administrative tasks and enrich your pedagogical approach. In this structured, text-based course, you will learn how to communicate effectively with AI models to produce high-quality teaching resources. You will discover how to construct precise prompts that generate targeted lesson outlines, custom reading passages, tailored assessments, and creative classroom activities aligned with specific educational standards. What you'll learn: - Understand core generative AI concepts, terminology, and capabilities relevant to education - Master structured prompt engineering techniques, including role assignment, contextual constraints, and iterative refinement - Create comprehensive lesson plans, unit outlines, and clear learning objectives - Design differentiated learning materials and scaffolded explanations for diverse student needs - Develop formative and summative assessments, rubric criteria, and discussion prompts - Evaluate AI outputs critically to detect hallucinations, address bias, and ensure pedagogical accuracy The course begins with foundational AI terminology and prompting mechanics before guiding you through real-world educational scenarios and written practice exercises. This course is suitable for classroom teachers, instructional designers, and educational coordinators of any subject. No prior technical or coding experience is required. Start reading to transform your preparation workflow and reclaim your planning time.