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Differentiation With AI: An Innovative Approach to Designing Student-Centered Learning Experiences

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Session description

Explore research-based strategies for differentiation supported by AI. This session demonstrates how AI can streamline planning, generate scaffolds, and adapt instruction while keeping empathy and professional judgment central. Attendees will gain prompt structures and ethical guardrails they can use immediately to make differentiation manageable and effective.

Outline

Outline

Introduction (5 minutes)

Content: Overview of the challenge of differentiation and how AI can serve as a planning partner.

Engagement: Quick audience poll (hands or device-based) on current use of AI in planning.

Presenter roles: Dr. Tejeda frames the session; co-presenter (featured teacher) briefly introduces their classroom context.

Research-Based Foundations (10 minutes)

Content: Share key research on differentiation (Tomlinson and others) and connect these strategies to AI-supported planning.

Engagement: Think-pair-share on a differentiation challenge teachers face in their classrooms.

Presenter roles: Dr. Tejeda introduces research; teacher shares how this research shows up in real practice.

Prompt Structures for Differentiation (15 minutes)

Content: Model the Role–Context–Task–Format prompt framework and demonstrate applications for lesson planning, scaffolds, and assessments.

Engagement: Live demo of AI responding to prompts; participants create their own prompts in pairs using provided templates.

Presenter roles: Dr. Tejeda models prompt framework; teacher shares a prompt they used from the book and its classroom results.

Ethical Guardrails (10 minutes)

Content: Discuss bias, privacy, and the role of professional judgment when using AI.

Engagement: Small-group activity where participants identify risks in sample AI outputs and suggest guardrails.

Presenter roles: Dr. Tejeda frames ethical guidelines; teacher shares how they ensured student data and equity remained central in their use.

Practical Applications (10 minutes)

Content: Share teacher vignettes from different states to illustrate how AI supported differentiation in real classrooms.

Engagement: Audience discussion: “How might you adapt this for your setting?”

Presenter roles: Teacher co-presenter tells their vignette in detail; Dr. Tejeda situates it within broader patterns from the book.

Wrap-Up and Takeaways (5 minutes)

Content: Summarize key points—research, prompt structures, ethics, and empathy as the foundation.

Engagement: Exit ticket (device-based) where attendees commit to one actionable step they will implement.

Presenter roles: Both presenters share final reflections, tying together research and classroom practice.

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Outcomes

After this session, participants will be able to:

Apply research-based strategies for differentiation using AI tools to adapt content, scaffolds, and assessments.

Design effective AI prompts using a structured framework that balances efficiency with professional judgment.

Evaluate AI outputs with ethical guardrails that prioritize equity, student privacy, and teacher decision-making.

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Supporting research

CAST. (2018). Universal Design for Learning guidelines version 2.2. CAST. http://udlguidelines.cast.org

Fuchs, L. S., Fuchs, D., & Malone, A. S. (2017). The taxonomy of intervention intensity. Teaching Exceptional Children, 50(1), 35-43.

Guo, J., & Wang, Y. (2023). Teacher empathy and student academic engagement: A moderated mediation model of student-teacher relationship and school climate. Psychology in the Schools, 60(11), 4381–4397.

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., ... & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Educational Technology Research and Development, 71(3), 1039-1050.

Makoelle, T. M. (2022). Teacher empathy: a prerequisite for an inclusive classroom. In Encyclopedia of teacher education (pp. 1838-1843). Springer, Singapore.

McLeskey, J., Maheady, L., Billingsley, B. S., Brownell, M. T., & Lewis, T. J. (Eds.). (2022). High leverage practices for inclusive classrooms. Philadelphia, PA: Routledge.

Meyers, S., Rowell, K., Wells, M., & Smith, B. C. (2019). Teacher empathy: A model of empathy for teaching for student success. College Teaching, 67(3), 160-168.

Tomlinson, C. A., & Imbeau, M. B. (2023). Leading and managing a differentiated classroom. ASCD.

Tomlinson, C. A. (2017). How to differentiate instruction in academically diverse classrooms. ASCD.

U.S. Department of Education. (n.d.). Family Educational Rights and Privacy Act (FERPA). https://studentprivacy.ed.gov/ferpa

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Presenters

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Curriculum Support Specialist
Miami Dade County Public Schools
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Curriculum Support Specialist
Miami-Dade County Public Schools
ISTE & ASCD Book Author

Session specifications

Topic:

Instructional Design and Strategies, Differentiated Instruction

Grade level:

PK-12

Audience:

Curriculum Designer/Director, Teacher Development, Teacher

Attendee devices:

Devices useful

Attendee device specification:

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

Participant accounts, software and other materials:

None

Subject area:

Teacher Education

ISTE Standards:

For Educators: Learner, Citizen, Analyst