The Texas A&M University System is launching a targeted AI intervention to support Pell-eligible first-year students across six diverse campuses. The initiative aims to close completion gaps by using behavioral science and real-time guidance to help low-income and first-generation learners navigate complex financial aid and degree requirements. System leaders have set a mandate to scale system-wide by 2030 and raise persistence rates by 2.5 percent for Pell-eligible and first-generation students in the system.
Leaders at the participating institutions are deploying chatbots to provide automated, 24/7 guidance to bridge the gap when human staff are unavailable. The strategy offloads high-volume "transactional" hurdles — such as registration challenges and financial aid complexities — allowing university staff to focus their capacity on high-touch, “transformational human interventions” and crisis support, said Texas A&M University System Vice Chancellor of Academic Affairs and Chief Transformation Officer Shonda Gibson.
The rollout serves as a deep "institutional study" in student success, forcing a rigorous audit of campus-specific infrastructure. By using real-time student feedback as a translator between traditional academic bureaucracy and the modern learner, the System aims to identify and correct localized roadblocks to ensure the university environment is accessible and culturally grounded for all students.
Texas A&M University System leaders emphasize the importance of the
The bigger picture:
More and more institutions are exploring ways technology, including artificial intelligence, can support smarter, more streamlined operations on campus by allowing staff to focus on the human impact versus answering transactional questions. What is unique about the Texas A&M University System approach is that it forms a cohort of six vastly different institutions — from a flagship to a large, public historically Black university, to smaller regional campuses — whose leaders meet weekly to share insights and information about what they’re learning through students’ engagement with the bots.
“If you’re all alone doing hard work, that’s one thing, but if you’re part of a [group]...and you can compare notes and share things,” institutions have an opportunity to approach student success from a systematic level, Gibson said.
