Role-based programs, the AI Academy, and a Campus AI Champions train-the-trainer track. Training that respects faculty expertise rather than replacing it, and that fits how your disciplines actually teach.
By Eric Goodman, Ph.D., former chief academic officer · Updated October 2026
One session for everyone rarely changes practice. A historian, an academic advisor and a financial aid officer use AI for different work and face different risks. Training sticks when it is matched to the role and when faculty helped shape it.
That is why Higher Ed Change listens first. Structured interviews show what each group actually needs before any training is designed.
Course design, assessment redesign, and clear academic integrity guidance for AI use.
Practical uses that save time while keeping student data protected.
Everyday workflow improvements and safe data-handling habits.
The judgment to set direction, approve uses and manage risk.
Faculty and staff champions who keep skills spreading in their own units.
By listening first. Faculty shape the plan through structured interviews before any training or policy reaches them, which is how change survives shared governance. Faculty resist change imposed on them, not AI itself.
Training should match the role. Faculty need course design, assessment and integrity guidance. Advisors need student-support uses. Administrative staff need workflow and data-handling skills. Leaders need governance and risk judgment.
Vendor training teaches a tool. Higher Ed Change leads the change: governance, faculty buy-in, measurable readiness, and training matched to each role and institution.
A train-the-trainer program that prepares faculty and staff champions to support colleagues in their own units, so AI skills keep spreading after formal training ends.
In a 60-minute Executive Briefing, you’ll get a clear picture of where your institution stands on AI and a written summary to share with your cabinet.