Event Information
Recorded Session1. Welcome & Hook (5 minutes)
Content: Open with a student scenario: a learner struggling to access a text in its original form but thriving when AI reframes it.
Engagement: Quick live poll (Mentimeter/Slido) → “Where do your students struggle most: comprehension, vocabulary, or engagement?”
Process: Connect participants’ realities to the promise of AI-powered literacy.
2. Framing: AI + Literacy Futures (7 minutes)
Content: Briefly introduce how AI aligns with the Science of Reading and prepares students for future literacies: multimodal fluency, adaptive pathways, ethical use.
Engagement: Facilitator demo — show one text transformed three ways by AI (leveled scaffold, character remix, genre-shift to poetry/song).
Process: Audience posts first impressions in Padlet backchannel.
3. Activity 1 – AI Literary Mixer (10 minutes)
Content: Participants use ChatGPT to reimagine classic characters in modern contexts (e.g., Atticus Finch as a podcast host, Juliet on Instagram).
Engagement: Small groups compare AI-generated outputs with original texts, analyzing shifts in voice, perspective, and bias.
Process: Device-based generation + peer-to-peer discussion; groups post character bios to Padlet gallery.
4. Activity 2 – Strand Mapping + Fix the Weak Strand (15 minutes)
Content: Groups use AI to map a text onto Scarborough’s Reading Rope (decoding, vocabulary, comprehension). Then apply AI to a case study (e.g., Ethan, a student with vocabulary gaps).
Engagement: Small groups collaborate to diagnose the “weak strand” and design AI-informed interventions.
Process: Collaborative strand maps created digitally and posted; peer feedback in real time.
5. Activity 3 – AI and the Language Strand (15 minutes)
Content: Participants choose one path:
Background Builder: Use AI to generate a primer for a complex text.
Vocabulary Deep Dive: Use AI to scaffold Tier 2/Tier 3 words with student-friendly definitions and visuals.
Text Structure Explorer: Use AI to break down sentence structure and organization.
Engagement: Groups create classroom-ready outputs and share insights.
Process: Device-based choice, peer-to-peer collaboration, and Padlet sharing.
6. Activity 4 – NotebookLM for Speaking & Listening (5 minutes)
Content: Facilitator demo of NotebookLM turning text or guidelines into podcasts/Q&A tools.
Engagement: Volunteers test prompts live; audience reflects on how students could use this for multimodal fluency.
Process: Quick interactive demo followed by whole-group discussion.
7. Reflection & Gallery Walk (3 minutes)
Content: Participants explore Padlet gallery of artifacts (bios, strand maps, vocab sets, creative texts).
Engagement: Exit ticket prompt: “What AI-powered literacy move will you try first?”
Process: Digital reflection ensures ideas transfer into practice.
Apply AI tools to scaffold comprehension, vocabulary, and writing aligned with the Science of Reading.
Design inclusive, multimodal literacy activities such as AI Literary Mixers, Strand Maps, and songwriting tasks.
Evaluate AI outputs for accuracy, bias, and appropriateness to guide ethical classroom use.
Create a classroom-ready literacy activity during the session and share it in a collaborative gallery.
ISTE (2023). AI in Education: Leading with Practicality and Pedagogy
https://iste.org/areas-of-focus/AI-in-education
North Carolina Department of Public Instruction (2024). AI Guidelines for Schools.
https://www.dpi.nc.gov
World Economic Forum (2023). Future of Jobs Report.
https://www.weforum.org/publications/future-of-jobs-report-2023
Vaughn, Sharon & Fletcher, Jack. (2021). Science of Reading Comprehension Instruction. Guilford Press.
Wexler, Natalie. (2019). The Knowledge Gap: The Hidden Cause of America’s Broken Education System—and How to Fix It. Avery.
Luckin, Rose et al. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson.
https://www.pearson.com/content/dam/one-dot-com/one-dot-com/global/Files/about-pearson/innovation/open-ideas/Intelligence-Unleashed-Publication.pdf
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