Introduction to AI literacy

With this learning path educators build clear mental models of AI, strengthen instructional judgment, and develop language for explaining AI use to students in ways that support learning and integrity. Instructional coaches use the shared framework and scenarios to support teacher reflection, model responsible reasoning, and facilitate productive conversations across teams. Administrators use the learning to guide communication, establish norms, and support thoughtful, human-centered decision-making at the school or system level.

This learning path is one of two learning paths that qualify the learner to become a Microsoft Elevate Educator - Expert in the Microsoft Elevate Education Community. This program connects educators to a trusted global network where they learn from peers and are recognized for your leadership and innovation with technology and education, with access to Microsoft product and program leaders.

When this path is complete, check out the rest of the Elevate for Educator AI Collection and the Elevate Educator - Expert (General) learning path. When both are complete, visit aka.ms/MicrosoftElevateforEducators to apply to the Microsoft Elevate Educator community!

Learning objectives

Upon completion of this learning path, you'll be able to:

  • Analyze what artificial intelligence is and is not using clear, non anthropomorphic language appropriate for educational settings.
  • Select appropriate tasks where AI may support educator work, where human oversight is required, and where AI use is not appropriate.
  • Analyze classroom and school scenarios using the TeachAI Literacy Framework to clarify responsibilities and risks.
  • Plan AI supported practices that reflect integrity norms, including verification, privacy, transparency, and human accountability.
  • Design explanations and communication about AI use that build trust with students, colleagues, and families.
  • Collect evidence from reflection and practice to evaluate the impact of AI supported decisions over time.
  • Create a sustainable reflection routine that supports responsible AI use as tools, expectations, and contexts evolve.

ISTE Standards for Educators:

  • Educator - Analyst
  • Educator - Citizen
  • Educator - Collaborator
  • Educator - Designer
  • Educator - Facilitator
  • Educator - Leader
  • Educator - Learner
  • Leaders - Connected Learner
  • Leaders - Empowering Leader
  • Leaders - Equity and Citizenship Advocate
  • Leaders - Systems Designer
  • Leaders - Visionary Planner

UNESCO Standards for Educators:

  • Application of digital skills
  • Curriculum and assessment
  • Organization and administration
  • Pedagogy
  • Teacher professional learning

UNESCO AI Competency Framework:

  • A human-centered mindset
  • Ethics of AI
  • AI foundations and applications
  • AI pedagogy
  • AI for professional development

Prerequisites

None

Modules in this learning path

Build accurate mental models of AI by clarifying what AI can and can't do, and by separating AI outputs from human judgment in educator decisions. You practice using precise, non-anthropomorphic language that supports responsible conversations.

Educators apply the AILit Framework to real school scenarios by identifying the primary decision domain, posing domain-first questions, and documenting safeguards using brief reflection loops for discussion, planning, and communication.

Navigate AI in education by learning essential AI concepts, techniques, tools, and practical applications. AI can support personalized learning, automate daily classroom tasks, and provide insights for data-driven decision making.

This module is designed to introduce educators to the powerful AI tools that Microsoft offers to educators and learners for free.

Many AI decisions feel fine in the moment, then create surprises later. A draft message might save time, but the tone may land differently than expected. A summary might look accurate, but miss a pattern that matters for a student. Reflection is how educators turn one time AI use into professional learning rather than repeated guesswork.