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Innovating Teacher Preparation: Using AI to Enhance Differentiated Instruction

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Session description

This session examines how artificial intelligence supports differentiated instruction in diverse classrooms. Participants will explore practical strategies for integrating AI into lesson design and preparation to address varied language learning needs. The session emphasizes equitable, culturally responsive practices that prepare teachers to use AI effectively to enhance student learning outcomes.

Outline

This 30-minute session will begin with a brief overview of differentiated instruction and the role of AI in supporting diverse learners. Participants will explore practical examples of AI tools that assist with lesson differentiation and differentiated instruction for ENL students. Through brief discussions and collaborative activities, attendees will identify strategies for integrating AI into differentiated instruction and reflect on how these practices can be applied in their own classrooms. The session will conclude with a Q&A and activity to help participants apply their learning in their own teaching contexts.

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Outcomes

After this session, participants will be able to identify effective ways to integrate artificial intelligence into differentiated instruction to meet diverse learning needs. They will analyze examples of AI-supported lesson differentiation, practice developing technology-enhanced instructional strategies, and reflect on how AI tools can promote equitable, student-centered teaching practices in their own contexts.

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Supporting research

Kilbane, C. R., & Milman, N. B. (2025). Using technology in a differentiated classroom: Strategies and tools for designing engaging, effective, efficient & equitable learning (Advance copy). ASCD.
- Burns, M. (2024). *EdTech Essentials: 12 Strategies for Every Classroom in the Age of AI* (2nd ed.). ASCD.
- Ribble, M., & Park, M. (2019). The Digital Citizenship Handbook for School Leaders: Fostering Positive Interactions Online. ISTE.

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Presenters

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Assistant Professor
SUNY - New Paltz
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Student
SUNY New Paltz

Session specifications

Topic:

Artificial Intelligence, Differentiated Instruction

Grade level:

PK-12

Audience:

Teacher Development, Teacher Prep, Teacher

Attendee devices:

Devices required

Attendee device specification:

Smartphone: Windows, Android, iOS
Laptop: Chromebook, Mac, PC
Tablet: Android, iOS, Windows

Subject area:

Multi-Language Learners

ISTE Standards:

For Educators: Learner