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

Empowering Education Leaders: A Toolkit for Safe, Ethical, and Equitable AI Integration

Authors: Yerin Seung, James Basham, Ph.D., and Angelica Fulchini Scruggs, Ph.D.; info@ciddl.org

The Office of Educational Technology released Empowering Education Leaders: A Toolkit for Safe, Ethical, and Equitable AI Integration to address these challenges. This resource aims to guide educators, administrators, and policymakers in safely and effectively leveraging AI in schools. The toolkit features the Center for Innovation, Design, and Digital Learning (CIDDL), with Dr. James Basham, the Director/Principal Investigator (PI) from the University of Kansas, and Dr. Eleazar (Trey) Vasquez, a Co-Principal Investigator (Co-PI) from the University of Central Florida, serving as advisors for the development of the toolkit. Here is an overview of the key components of the document and their implications for teacher educators.

OET’s new toolkit is organized in three sections: 

  1. Mitigating Risk: Safeguarding Student Privacy, Security, and Non-Discrimination
  2. Building a Strategy for AI Integration in the Instructional Core
  3. Maximizing Opportunity: Guiding the Effective Use and Evaluation of AI

The focus of each section is then broken down into informational modules for further organization and guidance. This post highlights some of the prominent takeaways communicated in the toolkit.

Mitigating Risk: Safeguarding Student Privacy, Security, and Non-Discrimination

Module 1: Opportunities and Risks highlights the importance of a human-centered approach to AI in education, balancing opportunities and risks. AI-enabled tools demonstrate transformative opportunities, such as enhancing student assessment, addressing learner variability, supporting neurodiverse students, and adapting academic content for personalization and collaboration. However, AI has risks, including safety, privacy, fairness, and the accuracy of AI-generated information. Therefore, educational leaders should view AI as a supplemental tool rather than a replacement for educators. By thoughtfully addressing both opportunities and risks, AI can serve as a powerful tool in education while safeguarding the integrity of educational systems.

Module 2: Privacy and Data Security emphasizes the importance of understanding privacy laws and regulations to ensure AI is used ethically in education. Leaders should be familiar with laws like FERPA, COPPA, and CIPA, and resources like the Student Privacy Policy Office and Privacy Technical Assistance Center can provide guidance. As AI interacts with sensitive student data, leaders must update policies to address challenges like unauthorized data sharing. Additional resources are available to help schools integrate AI responsibly while protecting student privacy.

Module 3: Civil Rights, Accessibility, and Digital Equity highlights the importance of addressing Civil Rights, Accessibility, and Digital Equity when adopting AI tools. Federal laws protect students from discrimination, and accessibility laws mandate that educational tools comply with standards like WCAG 2.1. The Center for Innovation, Design, and Digital Learning (CIDDL) has further emphasized the importance of AI for all learners through its report, Artificial Intelligence: The Impact of AI on Education for All Learners, offering valuable insights into how AI can support students with disabilities. Digital equity initiatives aim to close the digital divide. These frameworks guide educational leaders in creating fair, accessible, and equitable learning environments using AI responsibly.

Building a Strategy for AI Integration in the Instructional Core

Module 4: Understanding the Evidence emphasizes the importance of evidence-based educational decision-making, using high-quality research and federal resources like the WWC and Edtech Evidence Toolkit. When integrating AI and other technologies into their schools, leaders are encouraged to consider research evidence and community experiences.

Module 5: Considering the Instructional Core highlights the importance of the instructional core—the connection between students, teachers, and content—for improving education. AI can enhance the instructional core by personalizing content, supporting teacher development, and fostering student engagement, but it can also fall short if used superficially. To harness AI effectively, educational leaders should prioritize applications that enhance instructional quality and drive deeper learning.

Module 6: Planning Your AI Strategy emphasizes engaging communities through listening sessions to develop a responsible AI strategy. Leaders should host diverse sessions, include experts and community members, and consider the audience and format to foster productive discussions and address challenges. This creates a collaborative foundation for integrating AI responsibly.

Module 7: Guide and Support emphasizes the importance of a diverse task force to guide responsible AI integration in schools. This task force supports stakeholders by addressing needs like developing policies, tackling equity issues, and vetting AI applications. Leaders should consider planning elements like member selection, integration into existing structures, and resource access. The task force should focus on ethics, drawing from frameworks like the Belmont Report and the NIST AI Risk Management Framework, to ensure ethical AI adoption and safeguard individual rights.

Maximizing Opportunity: Guiding the Effective Use and Evaluation of AI

Module 8: Building AI Literacy for Educators underscores the importance of AI literacy for educators, equipping them to understand, evaluate, and integrate AI safely and effectively in classrooms. This knowledge empowers educators to guide students in an AI-driven future and advocate for ethical AI use. The Department recommends prioritizing educator AI literacy to ensure responsible AI implementation and enhance teaching and learning.

Module 9: Updating Policies and Advocating for Responsible Use emphasizes the need to update school policies on technology use to account for AI integration. A Responsible Use of Technology Policy (RUP) provides guidance for ethical, safe, and community-centered use of emerging technologies. Leaders should review current policies, identify AI-specific opportunities and risks, and gather input from the school community to create or update the RUP. Key elements of a successful RUP include defining expectations for AI literacy, acceptable and prohibited uses, risk management practices, and considerations for students and staff with disabilities. By aligning policies with community values and advocating for responsible AI use, educational leaders can foster trust, accountability, and equitable access to technology.

Module 10: Ambitious Action Plans guides educational leaders to develop comprehensive AI integration strategies. Leaders should address AI's opportunities and challenges, including data privacy, algorithmic bias, and academic dishonesty. Effective plans align resources to maximize benefits and minimize risks, utilizing frameworks like the GenAI Readiness Checklist. Leaders should maintain approved AI tool lists, develop policies, and guide communities through AI adoption. Collaboration and trusted resources enable iterative strategies that ensure AI enhances education while upholding safety, fairness, and inclusivity.

Explore the Toolkit

The Empowering Education Leaders toolkit is a roadmap for safe, ethical, and equitable AI integration in education. Addressing privacy, security, accessibility, and strategic planning equips leaders to harness AI’s potential while mitigating risks. As AI continues to evolve, proactive leadership is essential to ensure that technology enhances learning without compromising equity or ethics. Explore the toolkit to join the movement toward responsible AI in education.

Links to Resources

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