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
Young girl and male adult using an ipad with a robot

Learning AI at Home: How Families Can Grow Together in the Age of Smart Technologies

Authors: Teddy Kim; info@ciddl.org

Why Families Matter in the Age of AI

Artificial Intelligence (AI) is becoming a constant presence in our homes, whether through voice assistants such as Alexa and Siri, or recommendation systems on YouTube and Netflix. As these technologies become more deeply embedded in family life, it’s increasingly important to understand how children—and their caregivers—can learn about AI together in meaningful, critical, and empowering ways.

Druga and colleagues (2022) explored how children and parents engage with AI side by side. The researchers collaborated with 15 diverse families over five weeks, providing interactive learning sessions designed to foster not only technical understanding but also ethical awareness, creativity, and collaborative inquiry.

Many Roles of Parents

One of the most significant insights from the study was the range of roles that parents played throughout the sessions. Importantly, they didn’t need to be AI experts. Their presence, curiosity, and support were what mattered most.

The study identifies that parents play a variety of roles in supporting AI literacy learning, defining nine key roles as follows:

1. Cheerleader: Provides emotional support and encourages the child’s participation.

  • Example: “It’s okay. You can do it your way.”

2. Mediator: Helps coordinate activities among siblings or explains the goals and instructions of the activity.

  • Example: “You need to talk to each other about this.”

3. Mentor: Encourages deeper thinking and helps the child clearly understand AI concepts.

  • Example: “How would you describe that?”

4. Student: Learns AI concepts or tool usage from the child.

  • Example: “So that’s how Siri works? I didn’t know that!”

5. Teacher: Explains new concepts and practices, and teaches how to utilize AI tools.

  • Example: “Pi is a mathematical term. You use it to define the area or circumference of a circle.”

6. Observer: Allows the child to work independently, stepping in only when needed.

  • Example: “Okay, now it’s my turn.”

7. Tinkerer: Actively engages in experimenting with AI, trying to break, fix, or test how it works.

  • Example: “What if you say it louder—will it work then?”

8. Collaborator: Participates like a peer, actively engaging in the activity and exchanging ideas.

  • Example: “I don’t think many corals would be categorized as smooth. That’s just my thought.”

9. Ethics Guide (Not formally defined as a separate role, but observed across activities): Encourages ethical thinking when designing or using AI, highlighting issues such as privacy and bias.

  • Example: “I’m a little concerned about storing biometric data—can we find another way?”

These roles were not rigid or assigned; instead, they were flexible and adaptable. They shifted fluidly depending on the activity, the child’s age, and the family dynamic. What remained consistent, however, was the importance of active engagement. When parents were involved, learning became more in-depth and comprehensive.

The Home as a “Third Space” for Learning

This study embraces the concept of the family home as a “third space”—a bridge between formal schooling and personal experience. It’s a place where both children and adults can explore, question, and co-construct their understanding of AI. In this space, learning becomes not only more accessible but also more transformative.

Rather than passively consuming technology, families in this study imagined better futures. Children proposed designing AI systems that are more inclusive, transparent, and fun. Parents helped make these visions practical, safe, and ethically grounded. The result was a shared experience of discovery that was rooted in conversation, creativity, and trust.

Final Thoughts: You Don’t Need to Be an Expert

One of the most reassuring messages from this research is that you don’t have to be a computer scientist to help your child navigate AI. You need to be present, curious, and open to learning together.

Ask questions. Reflect out loud. Try things side by side. Make room for mistakes. Laugh when the AI gets it wrong. Wonder together why it did. By doing so, you’re not only helping your child become more informed and confident with technology, but also fostering a sense of responsibility and accountability. You’re building a deeper, more resilient relationship where both of you feel empowered to navigate the digital world around you.

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CIDDL is committed to providing high-quality resources to support the increasing knowledge, adoption, and use of a range of educational technologies that can be used for educators, related services, or leadership preparation programs. For more resources, including videos and blogs, subscribe to our newsletter and follow us on YouTube, Facebook, and LinkedIn. The most important part of our CIDDL community is YOU. Join our community and share the innovative ways you are using technology, ask a question about technology integration, or participate in our bi-weekly live AI Community Chats. We look forward to seeing you in our community!