K-12 framework

AI & Digital Readiness: from classroom to career

AI & Digital Readiness is the ability to use, understand, build, and apply emerging technologies. Built on durable human skills, these abilities keep students ready for an ever-changing workforce.

Use Understand Build Apply
Parker on AI & Digital Readiness
CEO and Founder
What AI & Digital Readiness means for students and educators.
Definitions

Two terms. One goal: students who are ready.

What is digital readiness?

Using technology safely and effectively, and creating with it.

Digital readiness starts with digital literacy: working with digital tools, evaluating sources, and protecting privacy. It grows through computer science, where students go from using technology to building it.

Use Build

What is AI readiness?

Knowing how AI works, where it fails, and how to put it to work.

AI readiness means understanding how AI systems produce outputs, where they fail, and when to verify. Then it means applying AI tools well inside a real field of work, from cybersecurity and IT to any CTE subject.

Understand Apply

Put them together and you get AI & Digital Readiness: four abilities, built on durable skills like critical thinking, problem-solving, and creativity, that hold up no matter how the workforce changes.

The framework

Students cross from classroom to career as they use, understand, build, and apply.

AI & Digital Readiness bridge A bridge labeled AI and Digital Readiness spans from K-12 classrooms to the workforce, held up by four pillars: Use (digital literacy), Understand (AI literacy), Build (computer science), and Apply (AI in career subjects). AI & DIGITAL READINESS
USEDigital Literacy

Navigate technology safely and effectively. Evaluate sources and protect privacy.

UNDERSTANDAI Literacy

Understand how AI works and the science behind it: where it fails and when to verify.

BUILDComputer Science

Create with CS and AI tools to develop critical thinking through programming and computational thinking.

APPLYAI in Career Subjects

Apply AI and be prepared to solve real-world problems in cybersecurity, IT, and any CTE field.

Policy recommendations

8 steps for state and local leaders.

We call on legislators, state education agencies, local education agencies, and regional education centers to advocate for policy and funding for AI & Digital Readiness, including computer science.

  1. Embed AI standards into existing computer science standards

    So all K-12 students get AI literacy and skills.

    Understand
  2. Update digital literacy courses and standards

    The foundation every other pillar stands on.

    Use
  3. Require computer science standards from kindergarten through 12th grade

    With incentives for industry certifications.

    Build
  4. Make an AI & computer science course a graduation requirement

    One high school CS course boosts wages by 8% for all students (Unlock 8).

    UnderstandBuild
  5. Require computer science in the elementary gradebook

    Dedicated instructional time, starting where computational thinking gains begin.

    Build
  6. Create a district grant using Meta Settlement funds

    For AI & Digital Readiness, digital and media literacy, and more.

    Funding
  7. Embed AI skills into CTE pathways, or consider an Emerging Technologies Pathway

    Fed by a pipeline of quality K-8 CS and AI education.

    Apply
  8. Help every current and future educator earn an AI micro-credential

    And partner with higher education on AI literacy for pre-service teachers.

    Educators

Inspired in part by Utah’s pro-human AI framework. We believe that posture can reach every level of education.

Read Part 4: AI in schools, what comes next

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