AI Agents for Educators: Automate Grading and Feedback

As classrooms and online learning platforms grow, providing timely, personalized feedback to every student becomes a major challenge. Artificial intelligence offers a practical solution to scale educational support without sacrificing quality. This course teaches you the foundational concepts of designing AI agents specifically for educational environments. You will learn how to structure workflows that evaluate written assignments and generate constructive, individualized responses that help students improve. What you'll learn: - Understand the core terminology and basic architecture of modern AI agents. - Apply fundamental prompt engineering techniques to guide AI behavior reliably. - Design text-based workflows to automatically evaluate student submissions against rubrics. - Explore Retrieval-Augmented Generation (RAG) concepts to ground AI feedback in your specific curriculum. - Practice structuring personalized, empathetic feedback loops for learners. - Implement basic guardrails to ensure AI responses remain safe, accurate, and unbiased. The curriculum begins with essential AI terminology and foundational definitions, ensuring a solid base before moving into practical applications. You will read through step-by-step written explanations and practical text-based scenarios to conceptualize your own educational agent. Designed entirely for beginners, this course requires no prior technical experience and is ideal for teachers, instructional designers, and EdTech team members looking to modernize their workflows. Start reading today to transform how you support and evaluate your students.