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NEA CertBank

Number of

  • 13 Micro-credentials
AI in Education

These micro credentials can be taken alone or with a team. If working with a team, you each must submit your own work.

It is highly recommended that you view this video before your team digs in.

Approximate

  • 15 hours each
What You'll Learn
In this stack, you'll develop the critical thinking skills to evaluate AI outputs, recognize bias and ethical concerns, understand AI's societal and environmental impact, and use generative AI tools creatively and responsibly in your classroom.
Who Should Apply
Educators
Description
In this learning stack, educators will build the foundational knowledge and critical thinking skills needed to navigate AI in Education confidently and responsibly. Through a critical lens, educators will evaluate AI-generated content for accuracy and bias, investigate how predictive systems can both support and limit diverse viewpoints, and analyze how AI can amplify societal inequities. The stack also addresses AI's environmental footprint and challenges learners to assess AI use against core ethical values like fairness, transparency, and privacy. On the creative side, educators will experiment with generative AI tools across text, image, and other formats to prototype ideas, refine outputs through iterative collaboration, and consider questions of attribution and ownership.

You will need to Create an Account or Log In to start a Micro-Credential.

AI and Truth: Seeing is not Always Believing
Partnering with: Microsoft
AI Perspectives - Understanding Algorithmic Bias and Echo Chambers
Partnering with: Microsoft
AI System Ethics: Values and Use
Partnering with: Microsoft
AI: Another and Another and Another Iteration
Partnering with: Microsoft
Collaborate with AI to Refine and Reflect
Partnering with: Microsoft
Exploring New Perspectives and Approaches with AI
Partnering with: Microsoft
Judging AI Outputs - A Framework for Educators
Partnering with: Microsoft
Recognize AI's Role and Influence in Different Contexts
Partnering with: Microsoft
Reflecting on "Hour of AI": From Learning to Application
Partnering with: Microsoft
Understanding how AI systems perform tasks, but are not human
Partnering with: Microsoft
What Powers AI? Exploring Its Environmental and Equity Impacts
Partnering with: Microsoft
When Technology Isn't Neutral: Understanding AI and Bias
Partnering with: Microsoft
Who Owns the Work? AI and Attribution
Partnering with: Microsoft
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