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.
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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.