Event Information
1) Welcome and Framing (5 minutes)
Frame the session’s purpose: exploring how AI tools can enhance writing feedback and support student growth.
A live poll invites attendees to share their hopes or concerns about AI in writing instruction, creating immediate engagement and a sense of shared inquiry.
2) Why Rethink Feedback? (10 minutes)
Dr. Hicks presents a brief talk on the evolution of writing feedback, emphasizing how AI can shift it from evaluative to formative.
He shares research and classroom examples that highlight how AI tools can support revision, reflection, and learner agency.
3) Panelist Spotlights (15 minutes)
Each panelist shares a 5-minute story about how they use AI tools (e.g., HMH AI Tools, Writable, etc) to support writing instruction.
These stories include specific classroom examples, student impact, and lessons learned. The moderator prompts each panelist with a guiding question to keep the stories focused and practical.
4) Live AI Feedback Demonstration + Small Group Discussion (10 minutes)
Live demo showing how an AI tool generates feedback on a sample student writing piece. The audience sees the tool in action—what kind of feedback it provides, how it might be used in a revision cycle, and what limitations or biases may arise.
After the demo, attendees break into small groups to discuss:
What did you notice about the feedback?
How might students respond to it?
How could you use or adapt this in your own context?
5) Groups share key takeaways
Ethics and Equity Discussion (10 minutes)
The panel shifts to a discussion on ethical considerations: bias in AI feedback, student voice, over-reliance on automation, and access.
6) Audience Q&A (5 minutes)
Closing and Call to Action (5 minutes)
Each panelist shares one actionable takeaway or next step for attendees.
1) Identify how AI tools can support personalized, timely feedback in the writing process to enhance student engagement and growth.
2) Explore strategies for integrating AI into writing instruction that promote reflection, revision, and learner agency.
3) Evaluate the ethical and instructional implications of using AI for formative assessment and feedback in diverse classroom contexts.
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| Related exhibitors: | HMH |