Program Structure

The program is organized into six modules. Each module builds on the last and follows the same principle: clarity before capability.

Module 0: Introduction and Guardrails

You begin by setting boundaries.

• Ethical and legal considerations

• FERPA, privacy, and institutional expectations

• A simple decision model for when AI should and should not be used

This protects your work before anything else is built.

Module 1: The TIME Framework and Decision Matrix

You learn how to decide when AI is worth using.

• The TIME Framework

• The TIME Decision Matrix

• How to evaluate payoff, risk, and appropriateness

This prevents overuse and tool chasing.

Module 2: Building Your Faculty DNA

You create the contextual foundation that guides all AI use.

• Role, discipline, and responsibilities

• Quality standards and constraints

• Writing style and professional norms

This ensures AI works in your context, not a generic one.

Module 3: Applied Teaching

You apply AI to teaching through a focused project.

• A grading and feedback facilitation workflow

• A purpose-built teaching Custom GPT

• Clear boundaries between AI support and faculty judgment

Module 4: Applied Research

You apply the same structure to research.

• A journal submission support workflow

• A research-focused Custom GPT

• Support for drafting, alignment, and submission preparation

Authorship and voice remain yours.

Module 5: Applied Administration and Service

You apply AI to administrative and service work.

• A report writing workflow

• A service-focused Custom GPT

• Support for structured, repeatable institutional writing

This reduces friction in work that drains time but cannot be ignored.