TEACH
TEACH is the faculty-practice architecture behind the Navigate AI certification program. In the v1.1 language, it is no longer mainly about tool familiarity. It is about workflows and verification, governance and stewardship, AI-integrated pedagogy, curriculum agility, and the human capacities that still matter most when AI-assisted output becomes cheap and common. The rebuild guide explicitly calls for this newer framing and not the older five-word set. fileciteturn21file10turn21file11
TEACH v1.1 domains
A stronger shared architecture for faculty AI practice.
Faculty fluency
TEACH gives faculty a clearer picture of what responsible, growing practice actually requires, beyond surface tool use or prompt tricks. That shift is visible in the v1.1 framing and in the course materials that now emphasize orchestration, verification, and judgment. fileciteturn21file11
Design coherence
Instead of treating AI as a string of disconnected choices, TEACH gives faculty and institutions a more coherent structure for teaching practice, policy, workflow, and curriculum redesign.
Human-centered guardrails
TEACH keeps the focus on where human authorship, oversight, and learning still matter most so AI support does not quietly hollow out the course.
The v1.1 TEACH structure
Tools, Workflows & Verification
Moves beyond tool familiarity toward workflow design, decomposition of work, output checking, and supervision of AI-supported tasks. fileciteturn21file11
Ethics, Governance & Data Stewardship
Clarifies approved use, privacy, data handling, disclosure, and the difference between safe institutional use and risky public-tool use. fileciteturn21file11
AI-Integrated Pedagogy
Focuses on where AI belongs inside learning tasks and where cognitive struggle, explanation, and defense should remain protected.
Curriculum Agility
Asks how course outcomes, assignments, and pathways should adapt when AI changes the environment faster than curriculum cycles usually do.
Human Essentialism
Keeps the emphasis on durable human strengths such as judgment, empathy, interpretation, originality, and accountable authorship.
More than tool proficiency
The v1.1 update makes explicit that “good with AI” is now about supervision, verification, governance, and human-centered design, not just writing better prompts. fileciteturn21file4turn21file11
What TEACH looks like in practice
TEACH is the practice layer inside the certification program.
| Where | How TEACH is used |
|---|---|
| Ignite | Gives early faculty a direction for what responsible, maturing practice looks like while FAFI shows their starting point. fileciteturn21file7turn21file11 |
| Build | Supports stronger AI-integrated teaching design and assignment decisions through workflow, pedagogy, and governance logic. |
| Elevate | Pushes faculty toward more mature, human-centered course design and stronger evidence of learning. |
| Support / Strategy | Helps mentors and leaders calibrate faculty-development sessions, resources, and institutional conversations. fileciteturn21file15turn21file17 |
What institutions get when they use TEACH well.
Shared language, stronger cohort design, and more coherent faculty development.
TEACH is not just useful for individual reflection. It gives institutions a common architecture for professional development, planning, and examples of practice that hold together across sessions, cohorts, and programs. That is exactly the role the rebuild guide assigns to this page. fileciteturn21file3turn21file10
Want to see TEACH in a real faculty-development path?
The strongest way to understand TEACH is to see how it shapes the Faculty AI Fluency Certification Program, faculty bootcamps and workshops, and institutional implementation work.