From Rachel Toor
This week, after being initially overwhelmed by the extravaganza that is Ellucian Live, I was glad to retreat to a bespoke conference-within-the-conference gathering on higher ed systems convened by Dan Greenstein, formerly of PASSHE and now helping Ellucian think through how data and technology can support our sector.
We talked about the challenges, and Dan brought the data: About half of public institutions—including systems—are at grave financial risk. Even where some campuses are strong, profligate sons can bring down the whole family. In the room were leaders from university, community college, and private systems, along with accreditors, SHEEO, and state offices—many of whom have graduate degrees in painful change.
After a candid and yes, sobering, conversation, we got a preview of a new Ellucian tool. It uses AI to help students see which of their credits will transfer, map a path to a degree, and even identify institutions where that path makes sense. Even more striking: The reverse-transfer function allows institutions to award degrees to students who don’t realize they’ve already earned them.
I left excited by a glimpse of where higher ed technology is headed and what AI makes possible. When I got home, the first thing I did was call my former work wife, the co-founder of IHE and this newsletter. Doug Lederman wrote about some of this in a recent column. We spoke at length about the transfer tool. Nearly two decades after the Student Unit Record System was killed—and with the National Student Clearinghouse only partially filling the gap—I found myself struck by how close we may be to solving a problem we once abandoned.
Such tools are powerful, and they will only improve. They aim to address higher ed’s biggest challenges: tailoring lifelong learning, connecting education to careers, and responding to student, employer, and societal needs.
But who actually gets to use them? Will they reach students like mine, who bounce around among underresourced institutions? If only a subset of colleges benefits, technology will once again widen, not narrow, higher education’s equity divide.
Closing that gap will require shifts in how we think and operate. Dan Greenstein likes to talk about two things: his granddaughter, Alma, and scale. The data are clear. Scale is the strongest hedge against risk, but achieving it will require universities and colleges to share and even consider integrating business and academic functions. Maybe financial exigency or a desire to do what’s best for our students and their communities will inspire institutions to stop shaking their own pompoms partner with one another and collaborate in creative, new, and mutually sustaining ways.
Systems may have a leg up. They are already big. But they are also diverse in terms of structure, governance, and leadership. Technology will help provide some of the answers, but it’s also going to require a change in mindset and the recognition that we are all in this together.
The piece that follows is from a president who has lived this reality.