Unraveling AI Literacy Frameworks: Finding the Right Framework for Your District

Wednesday, July 1, 2026 10:45 AM to 11:15 AM · 30 min. (America/New_York)
Turbo Talk
Opportunity, Inclusivity, and Cultural Competency

Information

Navigating the many AI literacy frameworks can be overwhelming. This session will sift through major frameworks (e.g., ISTE, Digital Promise) to compare core competencies, ethical considerations, and practical applications. Discover how to adopt a framework that best aligns with your curriculum, empowering students to become responsible digital citizens.
Role Based Tracks
All LeadersLeaders - DistrictLeaders - InstructionalTeachersLibrariansCounselorsGovernment/Non-profit
Grade Level
PK-12
ISTE Standards
Educators: Citizen: Mentor students in safe, legal, and ethical practices with digital tools and content.Students: Digital Citizen: Manage their digital identity and understand the lasting impact of their online behaviors on themselves and others and make safe, legal and ethical decisions in the digital world.Students: Digital Citizen: Take action to protect their digital privacy on devices and manage their personal data and security while online.
Delivery/Output
In Person
Subject
Not applicable
Skill Level
Beginner
Outline
This 30-minute turbo talk will provide a brief overview of the most relevant and research-based AI Literacy Frameworks and demonstrate how to select a framework for your district or school that aligns with ISTE standards. Additionally, I will share how to design an adoption and implementation plan so that all members of your educational community understand the necessity of the framework and how to use it in daily instructional practice.
Supporting research
AILit Framework (EC/OECD). European Commission (EC) & Organisation for Economic Co-operation and Development (OECD). (2025). Empowering Learners for the Age of AI: An AILit Framework for Primary and Secondary Education (Review Draft). Retrieved from \[Link to AILit Framework website/PDF - usually available on the OECD or AILit site] Note: This is a joint initiative with wide international support (Code.org, ISTE+ASCD, etc.). Digital Promise. (2024). AI Literacy: A Framework to Understand, Evaluate, and Use Emerging Technology. Digital Promise. doi:10.51388/20.500.12265/218 Long, D., & Magerko, B. (2020). AI Literacy: Competencies and Design Considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–16. Lo, L. S. (2025). AI literacy for all: A universal framework [Preprint]. University of New Mexico Digital Repository. UNESCO. (2024). AI Competency Framework for Teachers and AI Competency Framework for Students. UNESCO. U.S. Department of Education, Office of Educational Technology. (2023). Artificial Intelligence and the Future of Teaching and Learning: Educator and Leader Guide. U.S. Department of Education. Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & ShenQiao, M. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. O'Dea, X., & Ng, D. T. K. (2024). AI Literacy and Gen-AI Literacy Frameworks. In X. O'Dea & D. T. K. Ng (Eds.), Effective Practices in AI Literacy Education: Case Studies and Reflections (pp. 21-27). Emerald Publishing Limited. O'Dea, X. (Ed.), et al. (2024). Effective Practices in AI Literacy Education: Case Studies and Reflections. Emerald Publishing Limited. Wang, J., Wang, S., & Zhang, W. (2023). A systematic review of AI literacy research in K-12 education. Education and Information Technologies.
Audience
CounselorCurriculum Designer/DirectorTeacher
Attendee Devices
Devices not needed

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