1. 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.
