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We have already glimpsed the potential of GenAI to change education, the workforce, and the way we "do life." Fellow educators, we are called to recognize these shifting sands and adapt to an ever-evolving digital world powered by Artificial Intelligence. This includes preparing students for a future increasingly powered by AI.
The Arizona Institute for Education and the Economy and the Core AI Guidance Team see the incredible opportunity we have to grab hold of emerging technologies and use them to improve education and make the world a better, more equitable place. We hope our guidance can be a useful tool for all LEAs who are ready to embark on this exciting journey.
Consider the following to guide initial steps:
Consider the following to guide initial steps:
Determine, then clearly communicate which tools/apps are approved for use.
Determine, then clearly communicate which tools/apps are approved for use.
What tools/apps are district-approved for teachers? Students?
Should teachers use their work email to sign up for non-approved tools that they will use independently?
Can teachers inquire about getting tools/apps approved? If so, what is the procedure?
Train teachers and staff about pitfalls to avoid.
Train teachers and staff about pitfalls to avoid.
What information should never be entered into GenAI apps? (Think: FERPA)
Can GenAI output be trusted? What should teachers and staff look for when evaluating GenAI-generated content?
What responsibility do we have for oversight when using GenAI?
Adopt a system to help teachers communicate GenAI use.
Adopt a system to help teachers communicate GenAI use.
How will students know when and in what way(s) they may use GenAI on an assignment?
What happens if they do?
How does this align with our existing academic integrity policy?
Have students been given a voice in shaping AI use expectations? How have you engaged them in meaningful dialogue and shared decision-making?
Additional Resources
Additional Resources
General Resources and Research
General Resources and Research
The AI Education Project: aiEDU
ISTE: Artificial Intelligence in Education Resource Collection
Learn 21: Generative AI Annotated Bibliography and AI Video Series
Microsoft: Education AI Toolkit and AI in Education Research
Teach AI: AI Guidance for Schools Toolkit & Policy Resources & Future of CS Education in an Age of AI
European Commission: Ethical Guidelines on the Use of Artificial Intelligence (AI) and Data in Teaching and Learning for Educators
US Department of Education Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Technology Bias, Ethics, and Justice
Technology Bias, Ethics, and Justice
Kapor Foundation: Responsible AI and Tech Justice: A Guide for K-12 Education
Data Privacy
Data Privacy
Future of Privacy Forum: Student Privacy Compass Vetting Generative AI Tools for Use in Schools & The Spectrum of Artificial Intelligence & Youth & Education Privacy
Consortium for School Networking (CoSN): Student Data Privacy Toolkit
Access for Learning (A4L): Arizona Student Privacy Alliance (AZSPA)
Academic Integrity
Academic Integrity
Matt Miller, Ditch That Textbook: AI in the Classroom: What's Cheating and What's OK?
Dr. Rahul Kumar: The Role of Postplagiarism in Understanding AI-Generated Content
Perkins, Furze, Roe, & MacVaugh: The AI Assessment Scale
AI Literacy for Educators
AI Literacy for Educators
Digital Education Council: AI Literacy Framework
Evergreen: AI Competencies for K-12
Leo S. Lo: The CLEAR path: A framework for enhancing information literacy through prompt engineering
AI Literacy for Students
AI Literacy for Students
aiEDU: Teach AI Classroom Curricula
Code.org: AI Curricula
Common Sense Media: AI Literacy Lesson for Grades 6-12
MIT: Day of AI Curriculum
MIT: An Ethics of Artificial Intelligence Curriculum for Middle School Students
Stanford Graduate School of Education: CRAFT AI Literacy Resources
AI Leadership and Implementation
AI Leadership and Implementation
Professional Development
Professional Development
Code.org: AI 101 for Teachers
AI for Education: An Essential Guide to AI for Educators
Family Engagement
Family Engagement
A Parent's Guide to AI: Parents' Ultimate Guide to Generative AI
References
References
Expand for Full Reference List
Expand for Full Reference List
Arizona Institute for Education and the Economy. (n.d.). Retrieved March 18, 2024, from
AI for Education. (2023). A framework for incorporating AI in an education system from the AI for education toolkit [Graphic]. Retrieved March 12, 2024, from https://www.teachai.org/toolkit#widget_s5XUJ-CeV
AI for Education.(2023). Generative AI explainer [Graphic]. Retrieved March 12, 2024, from https://www.aiforeducation.io/ai-resources/generative-ai-explainer
AI for Education.(2023). Top 5 questions for genAI edtech providers [Infographic]. Retrieved March 12, 2024, from https://www.aiforeducation.io/ai-resources/questions-genai-edtech
Arizona Department of Education. (2022). Arizona educational technology standards. Retrieved from https://www.azed.gov/standards-practices/k-12standards/standards-educational-technology
Arizona Department of Education. (2019). Arizona history and social science standards. Retrieved from https://www.azed.gov/standards-practices/k-12standards/standards-social-studies
Arizona Department of Education. (2018). Arizona computer science standards. Retrieved from https://www.azed.gov/standards-practices/standards-computer-science
Arizona Department of Education. (2018). Arizona science standards. Retrieved from https://www.azed.gov/standards-practices/k-12standards/standards-science
Arizona Department of Education. (2016). Arizona english language arts standards. Retrieved from https://www.azed.gov/standards-practices/k-12standards/english-language-arts-standards
Arizona Department of Education. (2016). Arizona mathematics standards. Retrieved from https://www.azed.gov/standards-practices/k-12standards/mathematics-standards
Bauschard, S. (2024). Thoughts on West Virginia’s AI guidance. Education Disrupted: Teaching and Learning in An AI World. https://stefanbauschard.substack.com/p/thoughts-on-west-virginias-ai-guidance
Brophy College Preparatory. (n.d.) Brophy AI Usage Guide. Retrieved April 22, 2025, from
CAST (2018). Universal Design for Learning Guidelines version 2.2. Retrieved from https://udlguidelines.cast.org
Clark, H. (2023). The AI-infused classroom. Elevate Books Edu. https://www.hollyclark.org/2023/09/22/why-aidetectors-are-problematic-and-what-to-do-instead/
Council of the Great City Schools & COSN. (2023). K-12 Generative AI Reading Checklist , Version 1.1. https://www.cgcs.org/genaichecklist
Cubero, V. (NCDPI). (2023). 3 bikes analogy. Retrieved April 22, 2024, from https://go.ncdpi.gov/AI_in_Education-3Bikes
Digital Promise. (n.d.). Artificial Intelligence in Education. Retrieved March 20, 2024, from https://digitalpromise.org/initiative/artificial-intelligence-in-education/
Eloundou, T., Manning, S., Mishkin, P., & Rock, D. (2023). Gpts are gpts: An early look at the labor market impact potential of large language models. arXiv preprint arXiv:2303.10130. Retrieved from https://doi.org/10.48550/arXiv.2303.10130
European Commission, Directorate-General for Education, Youth, Sport and Culture, (2022). Ethical guidelines on the use of artificial intelligence (AI) and data in teaching and learning for educators, Publications Office of the European Union. https://data.europa.eu/doi/10.2766/153756
Human Intelligence Movement. (n.d.). Human Intelligence Movement. https://www.humanintelligencemovement.org/
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