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3 Modules + Assessment

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K-12 Teachers

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~2.5 hours self-paced

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As artificial intelligence becomes increasingly integrated into education, the ability to communicate effectively with AI tools is becoming an essential professional skill. This course is designed specifically for K–12 educators who want to explore how AI can support and enhance their daily work, from lesson planning and assessment design to classroom management and communication.

Through guided practice, you will learn how to identify the key elements of effective AI prompts, revise and improve weak prompts, and design tailored prompts that generate useful, reliable outputs. Emphasis is placed on practical application, ethical considerations, and supporting diverse learners.

By the end of the course, you’ll be equipped with strategies to use AI more thoughtfully and confidently in ways that align with your teaching goals and values.

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Start Here: Course Overview

Welcome to Prompt Engineering for Educators! Your goal for this course is to build a personalized AI Prompt Library for your teaching practice, and we’ll guide you each step of the way.

Click the toggle arrows below (black triangles) to learn more about this course.

Ready to begin? Click the button below to start Module 1!

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Module 1: Anatomy of Effective Prompts

⏲️ 40 minutes

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Module 2: From Weak to Strong Prompts

⏲️ 50 minutes

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Module 3: Building Your Prompt Library

⏲️ 60 minutes

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Resources

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Certificate & Next Steps

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References

Bowen, J. A., & Watson, C. E. (2024). Teaching with AI: A practical guide to a new era of human learning. JHU Press.

Cummings, R. E., Monroe, S. M., & Watkins, M. (2024). Generative AI in first-year writing: An early analysis of affordances, limitations, and a framework for the future. Computers and composition, 71, 102827.

Mollick, E., & Mollick, L. (2024). Instructors as innovators: A future-focused approach to new AI learning opportunities, with prompts. arXiv preprint arXiv:2407.05181.

Noy, S., & Zhang, W. (2023). Experimental evidence on the productivity effects of generative artificial intelligence. Science, 381(6654), 187-192.