This session challenges conventional ideas about AI in education by reframing it not as a novelty tool, but as a strategic partner in advancing personalized learning. We’ll explore how AI can support deeper shifts—like elevating learner agency, making data visible and actionable for students, and co-designing rigorous, flexible pathways so learners can drive their experience. Educators will engage with real classroom challenges and experiment with AI as a co-designer. Together, we’ll explore how to use AI to strengthen tier 1 instruction.
PD Objectives:
Analyze how AI can support dimensions of personalized learning (agency, clarity, equity, flexible path/pacing, and collaboration)—beyond content generation or individualized pacing.
Experiment with AI-powered strategies that empower learners to engage with their own data, set goals, and design personalized learning pathways.
Design inquiry-driven prompts, assessment templates, or standard operating procedures with AI to support authentic, co-owned learning experiences and rigorous, equitable outcomes.
Note on Tools: To fully unlock the interactive portions of this session, we recommend having access to Google Gemini and NotebookLM. While not strictly required to follow along, having these tools ready will allow you to test the workflows in real-time. If you have questions, please email Allison or Rebecca.
