1. AI Episode 1: Intro to Artificial Intelligence in Teaching
  2. AI Episode 2: What Does An AI Teaching Assistant Look Like?
  3. AI Episode 3: Implications for Thought Leaders and Policy Developers
  4. Introducing Simulations into Teacher Preparation Programs
  5. Assistive Technology to Support Writing
  6. Enhancing Instruction and Empowering Educators with AI Tools and Technology
  7. So, AI Ruined Your Term Paper Assignment?
  8. Step by Step Use of Chat GPT
  9. CIDDL ChatGPT: Summarizing Text
  10. CIDDL ChatGPT: Solving Multiple Choice Questions
  11. CIDDL ChatGPT: Writing Programs
  12. CIDDL ChatGPT: Solving Word Problems
  13. Artificial Intelligence: Positives and Negatives in the Mathematics Classroom
  14. AI to Support Literacy
  15. Three Free & Easy Tools to Support Tiered Reading in Your Classroom
  16. The Question of Equity in the Age of ChatGPT
  17. CIDDList: 5 AIs You Need to Check Out This Summer!
  18. Mixed Reality Simulations, Personalized Learning, AI, and the Future of Education with Dr. Chris Dede
  19. Foundations for AI and the Future of Teaching and Learning from the US Department of Educational Technology
  20. Apple Enters the AR/VR/MR/XR Scene
  21. ChatGPT, AIs, and the IEP?
  22. There’s An AI for That: A Site Dedicated to Curating AIs
  23. UDL, Design Learning, and Personalized Learning
  24. Embracing the Future: How Teachers Can Harness AI at the Beginning of the School Year
  25. CIDDList: Back-to-School Checklist for Technology in Teacher Preparation Courses
  26. Cracking the Code: Students with Disabilities in the Computer Sciences 
  27. UNESCO Discusses Artificial Intelligence
  28. AI-integrated Apps for Those with Visual Impairments: Camera-Based Identifiers and Readers
  29. Publishers Respond to Generative AI
  30. K-12 Generative AI Readiness Checklist
  31. CIDDL Talks How AI Will Change Special Education at TED
  32. Re-designing and Aligning an Intro to Special Education Class to the UDL Framework through Technology Integration: Minimizing Threats and Distractions
  33. Resources for Learning About AI Going Into 2024
  34. Artificial Intelligence in Education 2023: A Year in Review
  35. Revolutionizing Mathematics Education in K-12 with AI: The Role of ChatGPT
  36. Image Generating AI and Implications for Teacher Preparation
  37. Are We There Yet? AI for Statistical Analysis
  38. Answers to Your AI Questions: A Conversation with Yacine Tazi
  39. Emerging Trends in Special Education Technology: A Doctoral Scholar Symposium
  40. 2024: A Space Odyssey? How AI and Technology of the Present Compares to HAL9000 and the Predictions of 2001: A Space Odyssey
  41. Using ChatGPT for Writing Lesson Plans
  42. Updates in the World of AI
  43. CIDDList: Exploring GPTs Available with ChatGPT Plus
  44. Prompt Engineering for Teachers Using Generative AI: Brainstorming Activities and Resources
  45. Understanding the AI in Your Classroom
  46. Jump on the MagicSchool.ai Bus!
  47. Using AI-Powered Chatbot for Reading Comprehension
  48. The Impact of Artificial Intelligence on Cognitive Load
  49. Apple Intelligence: How Apple’s AI for the Rest of Us Will Impact Special Education Personnel Preparation
  50. Can AI Help With Special Education?
  51. Considerations for Syllabi in a Gen AI World
  52. The Integration of AI Chatbots in Education for Preservice Teachers
  53. Conceptualizing AI Literacy: A Critical Skill for the 21st Century
  54. Empowering Education Leaders: A Toolkit for Safe, Ethical, and Equitable AI Integration
  55. CIDDList: A Year in Review
  56. Updates in Artificial Intelligence
  57. Canva vs. Venngage: Choosing the Right Tool for Your Design Needs
  58. Enhancing Students’ Self-Determination Through Student-AI Collaboration
  59. Teaching AI Literacy in K-12 Education Part Two: Recommendations by Grade Levels
  60. A Brief Review of AI Survey Results
  61. Sora and the Art of AI Image Creation
  62. CIDDL Research and Practice Brief: Generative AI Prompt Engineering for Educators
  63. How Technology Supports Student Choice: Finding the ‘Just-Right’ Balance for Engagement and Learning
  64. How AI NPCs Could Transform Social Skills Training for Students with Social Communication Disorders
  65. Navigating the AI State Guidance in Education
  66. CIDDL Webinar Series: State AI Guidance in K-12 Education
  67. Creating Your Personal GPT
  68. CIDDL Office Hours: How to create your own GPTs
  69. Boost Your Finals Prep with Artificial Intelligence
  70. Is Generative AI Reshaping How We Think? Implications for Higher-Order Executive Functions
  71. End-of-Year Reflections on Using AI in the Classroom: Insights and Innovations from CIDDL Office Hours
  72. CIDDL Office Hours: What are you Reading, Watching, and Listening to Learn about AI?
  73. Episode 1: Rethinking Agency in the Age of AI: Gaining an Initial Understanding
  74. Media Debate and AI in Education: Why Learning Theory Matters
  75. What Does Data Tell Us About AI in K-12 Education
  76. CIDDList: 5 Free AI-Powered Tools to Transform Your Teaching
  77. Rethinking Assessment in the Age of Generative AI
  78. WWDC25 Unveiled: Apple’s New Design, AI, and Accessibility for Classrooms
  79. Learning AI at Home: How Families Can Grow Together in the Age of Smart Technologies
  80. Understanding the Value-Based Decision Making Behind Student AI Use
  81. Episode 2: Rethinking Agency in the Age of AI: Why Does Agency Matter in the Age of AI?
  82. Preparing Special Education Personnel for an AI Future (Part One)
  83. Preparing Special Education Personnel for an AI Future: A Back-to-School Guide for Departments (Part Two of Three)
  84. Practical AI Integration for Special Education Teacher Preparation (Part Three)
  85. CIDDL Office Hour: Welcome Back! Start the Semester with CIDDL Updates
  86. AI Literacy in Teacher Preparation
  87. Beyond Performance: AI Integration for Meaningful Learning
  88. CIDDL Office Hours: Practical AI Applications for Educators
  89. Cool Tools for the New Semester! Enrich Your Teaching and Lighten Your Workload!
  90. CIDDL Office Hours: Exploring AI Literacy in Education
  91. Barriers and Enablers of Technology Integration in Special Education: Implications for Teacher Educators
  92. Using AI to Support IEP Development: Insights from CIDDL’s AI Office Hours
  93. The Future of Accessible Classrooms: How AI Is Opening Doors in Special Education
  94. CIDDL Office Hours: Harnessing AI for Grading and Progress Monitoring
  95. Campus AI Exchange: A Growing Hub for Responsible AI in Higher Education
  96. Teaching AI Literacy: Efforts, Challenges, and Emerging Practices
  97. Countdown to TED 2025: Getting Ready Together
  98. Rethinking How Students Interact With AI: Toward Human-Centered Learning
  99. Special Education Teachers’ Use of Generative AI
  100. Future of Teacher Preparation in the Age of AI: CIDDL at TED 2025
  101. Artificial Intelligence and Executive Functioning: Enhancing Attention, Self-Regulation, and Planning in the Classroom
  102. CIDDL Office Hours: Smarter Data Analytics with AI
  103. CIDDL Office Hours: The Future of AI Integration
  104. Using Artificial Intelligence (AI) to Support Students with Emotional and Behavioral Disorders (EBD)
  105. Summary of UNESCO AI and the Future of Education
  106. AI Integration and the SAMR Framework: A Practical Lens for Instructional Design
  107. Preparing Faculty for the Digital Era: Exploring the ISTE Faculty Standards
  108. Being a Non-Tech Person in a Tech-Driven World
  109. Summary of OECD Digital Education Outlook 2026
  110. Navigating AI in IEP Development: A Framework for Ethical Practice
  111. Beyond the Tool: Designing Coherent AI Systems in Education
  112. Shaping the Future of Special Education: CIDDL at CEC 2026
  113. Generative AI and IEP Goal Development: Implications for Special Education Teacher Preparation
  114. Students Are Already Using AI: What Educators Should Understand About AI Guidance and Support
  115. Is AI Helping Students Think, or Doing It for Them?
  116. AI and Educational Assessment 101
  117. Advancing Writing Outcomes Through AI: Implications for Special Education Teacher Preparation
  118. What New National Evidence on School Phone Bans Means for Special Education Personnel Preparation 
  119. Cognitive Offloading in the Age of AI: Opportunities, Challenges, and Mechanisms
  120. From Blank Page to Literature Review: How AI Can Support Early-Stage Research and Writing Over the Summer 
  121. What Does the Research Actually Say About AI in K-12 Classrooms?
  122. Beyond AI Adoption: Why Asking Better Questions About Privacy and Security Matters
Many people sitting at a conference table with laptops

ChatGPT, AIs, and the IEP?

Author: Samantha Goldman; info@ciddl.org

A question that has been on a lot of our minds is “How does AI fit into the IEPs?” The conversations around accommodation, modification, cheating, or universal support are plentiful and, just like all things related to special education and IEPs, there is no “one size fits all” answer. To tackle this question, we are going to break down how one might use AI and offer various ways to classify it.

Revisiting Terms

Before diving into the subject of ChatGPT and IEPS, let's revisit some terminology to make sure we are all on the same page. When designing a lesson, we start with the goal in mind or, in the words of Dr. Shelley Moore, “Show Me the Purpose”. Once we’ve addressed this, we have to define universal supports, accommodations, and modifications. Starting broad, universal supports are things that are available to all students, regardless of disability status (or no disability). These supports take into consideration the principles of Universal Design for Learning, where lessons are designed with embedded supports so that all learners can meet the learning goal. Next, we talk about accommodations. These support the student without changing the learning goal. Modifications change the expectations, the skill, and/or the content. 

ChatGPT as a Universal Support

In a recent article published by Marino (CIDDL co-PI), Vasquez (CIDDL co-PI), Dieker, Basham (CIDDL PI), and Blackorby, they suggest that the use of AI in the classroom could resemble what happened with the calculator and computer. The challenge is the access and availability of AI. Whereas getting calculators and computers into schools was a financial and logistical challenge in addition to pedagogical, AI is already in our schools and students’ hands. 

Here are some specific examples of how AI could be leveraged as a Universal Support. As stated earlier, the learning goal needs to be the focus and we design around that.

Example

  • Learning Goal: Editing, revising, and fact-checking
  • Use of AI: Have students generate an essay using AI on a self-selected topic rather than having them write their own piece. Have them work on fact-checking, editing, and revising the output. 

Example

  • Learning goal: Learn about the Revolutionary War
  • Use of AI: All students can use any source (video, internet, books, AI) to gather information about the war. From there, everyone shares their learning in a medium that works for them (e.g. video, essay, poster, etc.)
  • The goal of the assignment for everyone is to learn about the revolutionary war. Using AI is bypassing some struggles with navigating research. However, the skills being assessed are not relative to how well someone can navigate the library. Rather, the teacher would be assessing the student’s knowledge of the war.

ChatGPT as an Accommodation

The above researchers suggest some ways AIs could be used as accommodations including providing students with assistance with note-taking, organizing and planning, and reminding them of upcoming due dates.  

Example

  • Learning Goal: Editing, revising, and fact-checking
  • Use of AI: Have only some (identified as needing extra support) students generate an essay using AI on a self-selected topic rather than having them write their own piece. Have them work on fact-checking, editing, and revising the output. 
  • The goal of the assignment (revising, editing, and fact-checking) has not changed. However, only a select few are using this support. It’s akin to only giving access to a calculator to some students to solve math problems that are not computational based (e.g., word problems, geometry problems where they have to show an understanding of formulas, etc.)

Example

  • Learning goal: Learn about the Revolutionary War
  • Use of AI: Only some students (identified as needing extra support) use the AI to generate information in list form while others are researching through books, videos, and other internet sources. The students accessing the accommodation can use AI as a jumping-off point. From there, everyone shares their learning in a medium that works for them (e.g. video, essay, poster, etc.)
  • The goal of the assignment for everyone is to learn about the revolutionary war. Using AI is bypassing some struggles with navigating research. However, the skills being assessed are not relative to how well someone can navigate the library. Rather, the teacher would be assessing the student’s knowledge of the war.

ChatGPT as a Modification

Modifications change the purpose of the assignment so that the student is no longer working towards the same goal. This means using AI changes the purpose of the assignment. So, if the purpose is to write a short story and the student has the AI do it, they are no longer meeting that goal. 

Example:

  • Learning Goal: Develop a 5-paragraph essay about the Revolutionary War
  • Use of AI: Student types prompt “write 5 paragraph essay about Revolutionary War” into ChatGPT and submits
  • The goal of the assignment for everyone is to learn about writing a 5 paragraph essay and learn about the revolutionary war. The learning goal for the student using the AI is to learn how to prompt the AI. Though this is an important and valid skill, it does not have the same goal as that of the rest of the class and is, therefore, a modification. 

Join the Conversation

What are your thoughts on the topic of AI and IEPs? We’d love to discuss this with you in our community!