EDUCAUSE Panel Urges Colleges to Offer Foundational AI Instruction
A senior researcher at EDUCAUSE said students often face restrictive AI rules in courses while employers expect graduates to be prepared to use the technology. She recommended that colleges teach a baseline set of AI skills, with the needed depth varying by profession. She also cautioned leaders against overhauling education around AI and urged them to address broader institutional challenges.
A 2026 EDUCAUSE survey of students found that 53 percent reported restrictive AI rules in their courses. A 2025 World Economic Forum report identified AI and big data as among the fastest-growing capabilities employers anticipate needing by 2030. Nicole Muscanell, a senior researcher at EDUCAUSE, said this mismatch points to a need for common foundational AI instruction.
She suggested that required depth should differ by field: data scientists may need advanced work, while health professionals may mainly need to operate AI tools and judge their results. She also warned against rebuilding entire curricula around AI, pointing instead to staffing shortages, heavy workloads, and limited faculty preparation time as obstacles to thoughtful change.
Students may benefit if colleges provide consistent AI basics, since clearer expectations could reduce confusion between classroom rules and employer demands. Graduates entering fields such as healthcare or data work could be affected differently, depending on how much technical depth their roles require. Faculty and staff may also feel pressure to adapt