2. Get Your Data in Order
Whether its on-premises or in the cloud, the massive amounts of data possessed by higher education institutions can make or break any AI initiative. The fact remains, however, that universities that don’t have well-organized, structured, clean data are going to create AI tools that only offer bad information.
Modern data platforms can help universities get organized, and strategic communication and collaboration can ensure that data is collected and governed effectively.
For data to make sense to AI, data must be a priority everywhere on campus. A data-driven institution must be exactly that and have a clear, top-down strategy for how data is collected and used, and how outputs based on that data are audited for accuracy.
RELATED: How can technology convince students of higher education’s value?
3. Learn What Your Students Need, Then Give It to Them
That clean data can, in turn, help universities understand what their students need to be successful. AI tutors have been around for years, and large language models will only make them smarter and more adaptable.
At a number of institutions around the country, data analytics tools that monitor student progress — inside learning management systems, through keycard building access tracking and within applications managed by the university — can deliver better student outcomes and retain students. This is one of the underdiscussed keys to avoiding the enrollment cliff.
Beyond data, universities also should be focused on what students want, and at least match what those students are used to in both their K–12 schools and at home. In short, the Wi-Fi at your college can’t be worse than what they were used to in high school, and the classroom better have the interactive whiteboards, flexible seating and other features that have come to define modern education.
4. Turn Learning Spaces Into Training Grounds
Universities should bear in mind what tools students will need to know how to use after they graduate.
That could mean welding machines and other industrial tools, such as those used at the College of Lake County, or it could mean design software such as Canva.
It also means preparing students to use AI in the workforce, something that will become a core skill as AI continues to evolve. Special computing and virtual reality are also excellent training tools and can impress students visiting campus or showing an interest in enrolling.
Tools that combine a wow factor and future utility can turn enrollment trends around and push back the enrollment cliff for decades to come.
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