AI in Education: Automating Assessment and Feedback

Educators and school administrators face an ever-growing workload, often leaving less time for meaningful student interaction. Artificial intelligence offers a practical solution to streamline administrative tasks and enhance educational outcomes without sacrificing quality. This course teaches you how to leverage generative AI tools to automate routine grading, generate constructive feedback, and design efficient assessment workflows. You will explore how to integrate modern AI capabilities into your school's daily operations while maintaining academic integrity, ensuring student privacy, and aligning with current curriculum standards. What you'll learn: • Understand the core concepts of artificial intelligence and large language models (LLMs) in an educational context. • Apply fundamental prompt engineering techniques to generate accurate, empathetic, and helpful student feedback. • Design automated grading workflows for written assignments, quizzes, and standardized tests. • Practice drafting customized assessment rubrics using AI assistance. • Evaluate the ethical considerations, bias mitigation, and data privacy standards required when using AI in schools. • Explore basic retrieval-augmented generation (RAG) concepts to ground AI responses in your specific school policies and curriculum materials. The course begins with foundational AI terminology and concepts before moving into practical, text-based scenarios. You will progress through written modules that guide you step-by-step in building effective prompts, structuring feedback systems, and addressing common administrative challenges in modern education. Designed specifically for school leaders, vice-principals, administrators, and teachers, this foundational course requires no prior technical experience or programming knowledge. Start reading today to transform your school's assessment processes and reclaim valuable time for what matters most: student success.