Austin Community College Tests AI to Identify Struggling
Austin Community College is using an $875,000 grant to launch an AI-driven 'Digital Twin Initiative' aimed at proactively identifying students at risk of
Austin Community College (ACC) is testing an artificial intelligence platform designed to spot students in trouble before they drop out. The public two-year college announced the Digital Twin Initiative, backed by an $875,000 grant from the Texas-based Trellis Foundation.
The initiative aims to integrate scattered student data from different college offices into a single, holistic profile for each individual. College staff hope this will allow them to identify emerging needs and connect students faster to resources like advising, tutoring, financial aid, and mental health services. An initial version of the platform is rolling out this fall to roughly 46,000 active credit students.
Chancellor Russell Lowery-Hart said existing early-alert systems often involve bureaucratic delays. ACC wants AI to shorten the time between identifying a problem and getting a student help. "Early alerts are a great step, but AI gives us an opportunity to remove a lot of the clunky bureaucracy that makes interventions too late for a lot of our students," Lowery-Hart told Inside Higher Ed.
Proactive Support for Advisers
The goal is not to replace human advisers with AI, but to make their work more effective. Advisers at ACC typically manage caseloads of 500 to 600 students each. Aaron Henry, the chief of staff overseeing the platform's implementation, said the AI dashboard will help advisers pinpoint which students need their attention most urgently.
"They’re able to see a whole picture of the student right there on a dashboard, and then they’re able to provide more proactive support," Henry said. The dashboard will centralize information on a student's academic progress, club involvement, and other activities.
A recent national survey of 459 student success leaders by EAB explored attitudes toward AI in student support. The findings reveal a cautious optimism, with most leaders believing AI should support, not replace, human staff.
| Stance on AI for Student Interactions | Percentage of Leaders |
|---|---|
| AI can support routine interactions, but staff should be the norm | 59% |
| Staff interaction should remain the default in nearly all cases | 16% |
| AI could handle most interactions, reserving staff for complex needs | 6% |
AI Implementation and Privacy Guardrails
The Digital Twin project is part of ACC's wider push to adopt AI. The college also plans to launch a new AI-focused workforce pathway, including an electrician certification program for supporting digital infrastructure. Outreach programs to help local small businesses adopt AI tools are also in development.
Integrating sensitive student data from academic, financial, and counseling records raises privacy questions. Henry stated that ACC will retain ownership of all data and that its use will be strictly limited to the system's designed purpose. The college is following FERPA guidelines and other privacy rules related to mental health counseling, and has consulted with the Texas Risk and Authorization Management Program on system security and governance.
Chancellor Lowery-Hart emphasized that technology should help, not replace, human connection. "Nothing is going to replace a direct conversation with a student," he said. The initiative seeks to shift the model from students having to seek out help to the college proactively offering it based on AI-identified signals.
