Adapted from Module One AI for Educators: Harnessing AI to Personalize Learning The TEACH Framework
In Module One, educators will explore the foundations of AI and its role in today’s educational landscape. They will begin by understanding how AI is currently used, classifying different types of AI, and examining large language models (LLMs) such as Chat GPT, Claude or Copilot. The module introduces the TEACH framework, a practical approach for K12 teachers to use LLMs effectively in the classroom.
Key topics in Module One include:
Overview of AI applications in education
Classifying different types of AI
Introduction to large language models (LLMs)
TEACH framework: Using AI tools for K12 teaching
Addressing fabrication bias and privacy concerns
Personalizing learning with LLMs
By the end of this module, educators will have a solid grasp of how AI can support their specific teaching practice and help personalize student learning.
This video below is an excerpt (Module 1) that explores the TEACH framework. The TEACH framework is used to personalize learning through LLM (ChatGPT, Claude, etc.) prompts.
The TEACH framework empowers K-12 teachers to integrate AI into their classrooms, fostering personalized learning experiences tailored to each student’s needs. It simplifies interacting with AI by providing clear steps, ensuring teachers can confidently guide AI to enhance student engagement and understanding. The framework also aligns AI use with curriculum standards and student interests, making AI a valuable tool for supporting diverse learning styles and improving educational outcomes.
AI for Educators: Harnessing AI to Personalize Learning
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