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Dimensions of AI Literacies for Learners

Coming March 27, 2026


The Dimensions of AI Literacies taxonomy gave educators, leaders, and practitioners a shared vocabulary for navigating AI in education. Now, a companion framework puts that vocabulary directly into the hands of learners. The Dimensions of AI Literacies for Learners translates the eight interconnected dimensions into language, guiding questions, and can-do statements designed for learners to assess and develop their own AI literacies. The full framework launches on March 27, 2026 in recognition of National AI Literacy Day.

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View the Original Taxonomy

About the Taxonomy

How might we support learners in developing the skillsets and mindsets needed to succeed in an AI-enabled world?

The Dimensions of AI Literacies for Learners serves as a much-needed companion to the original resource. Where the Dimensions of AI Literacies taxonomy speaks to the literacies that educators and leaders activate across their professional contexts, this companion asks a different question: what does it look like when learners themselves are developing these literacies? Together, the two resources offer a shared vocabulary and approach that spans the full arc of teaching and learning in an AI-enabled world.
Each dimension includes alignment to the ISTE Standards for Students (2024), making the framework immediately actionable for educators working within K–12 and beyond. The framework also uses Dr. Ruben Puentedura’s SAMR Model as a design lens, helping educators identify where students’ current AI engagement might be amplified to move from simple use toward deeper transformation.

In practice, these dimensions rarely operate alone. A single assignment, project, or conversation with an AI tool will almost always activate more than one dimension at once. We call these intersections constellations, and recognizing them helps learners and educators alike see AI literacies as they actually unfold: connected, layered, and shaped by context.

Exploring the Dimensions of AI Literacies Ecosystem of Resources

The Dimensions of AI Literacies for Learners was created by Dr. Angela Gunder, Dr. Heather Farmakis, Dr. Nicole Johnson, Dr. Josh Herron, Dr. Nicole Weber, Dr. Colette Chelf, and Dr. Cristi Ford. It builds on the Dimensions of AI Literacies taxonomy (Gunder, Herron, Weber, Chelf, & Birdwell, 2024), created by Dr. Angela Gunder, Dr. Josh Herron, and Dr. Nicole Weber, with significant contributions from Dr. Colette Chelf and Dr. Sherry Birdwell. Both frameworks are a remix of the work presented in Dr. Doug Belshaw's book, The Essential Elements of Digital Literacies, and is openly shared under a CC BY-NC-SA 4.0 license.

While you wait for the Learners taxonomy to launch, there are several ways to explore the Dimensions of AI Literacies right now.

Take the Free Course

AI Literacies Unlocked is a free, fully online, self-paced course built from the original Dimensions of AI Literacies taxonomy. In 3–5 hours, educators and leaders at any level can build a working vocabulary for AI literacies and explore how the eight dimensions appear across different contexts.

Learn More and Register

See the Dimensions in Practice

The AI Literacies Applied database is a growing, open collection of case examples from educators, learners, and leaders across roles, levels, and countries. Each example identifies which dimensions of AI literacies are showing up in real work and how they constellation together.

View Case Examples

Share Your Own Example

How are AI literacies appearing in your context? Whether you work in K–12, higher education, corporate learning, libraries, or community settings, you can contribute a case example to the database and join a global community building shared knowledge about AI literacies in practice.

Submit an Example