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AI for Writing: Rethinking Feedback and Growth

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W311CD

Panel
Recorded Session
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Session description

Discover how AI tools are reshaping writing instruction by enhancing feedback and supporting student growth. This panel explores practical strategies for integrating AI into the writing process, offering insights on personalized feedback, revision cycles, and ethical considerations to empower both educators and learners.

Outline

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.

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Outcomes

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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Supporting research

Allen, L. K., & Kendeou, P. (2024). ED-AI Lit: An Interdisciplinary Framework for AI Literacy in Education. Policy Insights from the Behavioral and Brain Sciences, 11(1), 3–10. https://doi.org/10.1177/23727322231220339

Bowen, J. A., & Watson. (2024). Teaching with AI: A Practical Guide to a New Era of Human Learning. Johns Hopkins University Press.

European Commission, Organization for Economic Cooperation and Development, & Code.org. (2025). AI Literacy Framework for Primary & Secondary Education. AILit Framework. https://ailiteracyframework.org/

Hicks, T., & Turner, K. H. (2026). Teaching Writing in the Age of AI: Strategies for Teachers of Secondary Students. Solution Tree Press.

Lyublinskaya, I., & Du, X. (2026). Teaching AI Literacy Across the Curriculum: A K-12 Handbook. Corwin.

Magliozzi, D., & Peterson, K. (2025). AI in the Writing Workshop: Finding the Write Balance. HEINEMANN.

Vogelsinger, B. (2025). Artful AI in Writing Instruction: A Human-Centered Approach to Using Artificial Intelligence in Grades 6–12. Corwin.

Warner, J. (2025). More than words: How to think about writing in the age of AI (First edition). Basic Books.

White, S. V., Scott, D. A., Koshy, D. S., Noble, D. S., Bender, D. E., Marshall, D. B., Gillard, D. C., Alkhatib, D. A., Bobb, D. K., Margolis, D. J., Banks, A. S., Williams, A., Petty, T., Vakil, D. S., Ryoo, D. J., Yadav, D. A., Heath, D. M., Krutka, D. D., Crawford, C., … Dunton, S. (2024). Responsible AI & Tech Justice: A Guide for K-12 Education. Kapor Foundation. https://kaporfoundation.org/wp-content/uploads/2024/01/Responsible-AI-Guide-Kapor-Foundation.pdf

Zimmerman, M. (2018). Teaching AI: Exploring New Frontiers for Learning. International Society for Technology in Education.

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Presenters

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Curriculum Integrator
Chilton School District
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Teacher
Clark County School District
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Interim Associate Dean
Central Michigan University
ISTE Certified Educator
ISTE & ASCD Book Author
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Bilingual ESL Specialist
Galveston ISD

Session specifications

Topic:

Artificial Intelligence

Grade level:

PK-12

Audience:

Curriculum Designer/Director, District-Level Leadership, Teacher

Attendee devices:

Devices useful

Attendee device specification:

Smartphone: Android, iOS, Windows
Laptop: Chromebook, Mac, PC
Tablet: Android, iOS, Windows

Participant accounts, software and other materials:

None

Subject area:

Language Arts, Multi-Language Learners

ISTE Standards:

For Educators: Designer, Facilitator, Analyst

Transformational Learning Principles:

Connect Learning to Learner, Elevate Reflection

Disclosure:

The submitter of this session has been supported by a company whose product is being included in the session

Influencer Disclosure:

This session includes a presenter that indicated a “material connection” to a brand that includes a personal, family or employment relationship, or a financial relationship. See individual speaker menu for disclosure information.
Related exhibitors:
HMH