Design AI for good, in partnership with ISTE+ASCD
Learn to evaluate AI outputs using a consistent routine rather than relying on intuition or fluency. Use an Output QA process to check accuracy, bias, and readiness. Revise drafts to a Ready V2 version and embed evaluation steps into templates and workflow gates so quality checks happen by default, even when people are busy.
Learning objectives
Upon completion of this module, you'll be able to:
- Identify common output risks, including inaccurate claims, missing context, and biased or narrow representation.
- Apply an Output QA routine to check accuracy, alignment, inclusivity, and readiness before use or sharing.
- Verify the highest impact claims against an authoritative source appropriate to the task.
- Revise an AI-generated draft into a Ready V2 version that is accurate, clear, and appropriate for the audience.
- Embed evaluation steps into a reusable template, including a QA checklist and a short attribution and transparency footer.
Educator - Analyst
Educator - Citizen
Educator - Facilitator
Educator - Leader
Educator - Learner
Educator - Collaborator
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
- Understanding ICT in education
UNESCO AI Competency Framework:
- AI foundations and applications
- AI pedagogy
- AI for professional development