AI-Empowered Personalization: Transforming Learning for EVERY Student!

Outline

1. Welcome and Introduction (5 min)
Facilitator Introduction
Overview of Session Goals
Why differentiation and personalization are essential in modern classrooms
Introduction to AI tools that simplify and enhance personalized instruction
Practical strategies for integrating AI tools into teaching practice

2. Why Differentiate and Personalize Learning? (5 min)
Diverse Student Needs

Discussion: How diverse are your students in terms of skill levels, backgrounds, and learning styles?
Key point: Differentiation ensures every student receives instruction that meets their needs.
Equity in Education

Personalized learning closes the gap by offering content and approaches tailored to each learner's experience.
Boosting Engagement

Tailoring lessons to meet students where they are keeps them engaged and motivated.

3. Introduction to AI-Driven Tools for Personalizing Learning (30 min)
(This may be done in stations.)

Tools: Magic School, Brisk
Activity: Participants create differentiated content for a unit using AI tools.
Process Differentiation: Offer different ways for students to engage with content

Tools: Goblin Tools, Quizizz
Activity: Design a process-based differentiation task for students.
Product Differentiation: Provide various options for students to demonstrate their learning

Tools: Quizizz, Question Well
Activity: Create options for student assessments that cater to diverse abilities.

5.Student Learning Paths (15 min)
Real-Time Data:
How AI tools provide personalized activities based on individual student data
Example: Show samples of student data trackers with built in learning paths.
Activity: Post on a collaborative board how participants see themselves using this.

6. Building a Culturally Responsive Classroom with AI (10 min)
Culturally Relevant Content:

Spotlight tools that help build a culturally responsive classroom

7. Q&A and Closing Remarks (5 min)
Open Discussion: Address questions and concerns
Final Thoughts: Emphasize the importance of embracing AI for differentiation and equity.

Supporting research

EdSurge Article: “How AI Tools Can Help Meet the Needs of Diverse Learners” (2022)
This article discusses how AI can assist educators in differentiating instruction by analyzing student data to personalize learning pathways. It explores the practical applications of AI in helping teachers accommodate students with different abilities and learning speeds, especially in diverse and inclusive classrooms.

ISTE Article: “AI’s Potential to Personalize Learning for Every Student” (2020)
This article from the International Society for Technology in Education (ISTE) examines how AI-powered tools can facilitate personalized learning environments. It points out that AI can help teachers address the unique needs of each student through data-driven insights, enabling more effective differentiation.

Research Article: “The Role of Artificial Intelligence in Personalized Learning” by Elena Siemens and colleagues (2021)
This peer-reviewed article delves into how AI technologies can assist in the customization of learning experiences. It outlines how AI systems analyze student data to provide personalized recommendations and interventions, thus improving engagement and achievement.