This session will explore how teachers can use AI to produce formative, annotated feedback on student writing without losing the personal touch.
We’ll look at examples where large language models generate margin comments that highlight strengths, note recurring issues, and suggest next steps - while keeping teacher voice, tone, and judgment central. Participants will learn practical prompting techniques, ways to scaffold AI-generated feedback for different proficiency levels, and ethical considerations such as transparency and student data privacy.
We will use Google AI Studio to create a simple workflow that allows teachers to:
- Paste in text from a student writing assignment - Generate color-coded and categorized annotations directly on the text - Import assessment criteria or rubrics to guide AI-generated feedback
The focus is on prompt design, feedback categorization, and practical classroom application. Teachers will leave with a working prototype they can adapt independently.
