Event Information
Intro & Framework Overview: Kick off with the Teach Smarter AI Framework: how it builds on tools teachers already use to streamline planning, instruction, and feedback.
Framework Phases (Flexible Timing):
Data Collection: How AI surfaces student needs from existing data sources.
Learning Goals: Using AI to generate personalized, standards-aligned goals.
Learning Pathways: Differentiating instruction and grouping with AI insights.
Feedback & Adjustment: Real-time feedback loops to support learning growth.
Classroom Integration: Examples of AI inside common platforms (LMS, Google Workspace, assessment tools).
Application & Collaboration:
Participants choose one phase and map it to their current systems.
Small-group collaboration to build an AI-powered workflow.
ISTE AI in Education Guide
https://www.iste.org/areas-of-focus/Artificial-Intelligence
ISTE’s framework on AI in education and its responsible implementation.
AI and the Future of Teaching and Learning – U.S. Department of Education (2023)
https://www2.ed.gov/documents/ai-report/ai-report.pdf
Government-backed research on AI’s role in student learning and teacher productivity.
UNESCO’s AI and Education Report (2021)
https://unesdoc.unesco.org/ark:/48223/pf0000376709
Focuses on ethical AI use, reducing bias, and AI’s impact on diverse learners.
AI for Education: Practical Guide for Teachers – Brookings Institution
https://www.brookings.edu/research/how-artificial-intelligence-is-changing-teaching/
Discusses efficiency strategies and real-world applications of AI in classrooms.
Google or Microsoft Account – Required for accessing shared documents and collaborative activities.
ChatGPT (OpenAI) or Gemini (Google) – A free account on either platform is needed for hands-on AI exploration.
A web browser (Chrome or Edge recommended) is advised for the best experience.