How is AI changing education?
AI is changing education on three fronts at once: how students learn (personalized tutoring, instant feedback, and 24/7 support), how educators teach and assess (AI-assisted content, redesigned assignments, and a shift away from take-home essays that AI can complete), and how institutions operate (admissions, advising, and student-success analytics). The institutions pulling ahead treat it as a learning opportunity to lead, not just a policy problem to contain.
Should students be allowed to use AI?
Yes — with structure. Banning AI outright is largely unenforceable and leaves students unprepared for a workforce that expects AI fluency. The stronger approach is transparent, course-by-course policies that define when and how AI may be used, paired with assignment designs that make student thinking visible. The goal is responsible use and AI literacy, not prohibition.
What is AI literacy?
AI literacy is the shared ability of students, faculty, and staff to use AI effectively, critically, and ethically — understanding what these tools can and cannot do, when to trust their output, and how to use them with integrity. It is fast becoming a core graduate competency, and building it across a campus — from cabinet to classroom — is now as fundamental as digital literacy was two decades ago.
How can universities prepare for AI?
Start with three moves: a clear, practical AI governance framework (academic integrity, data privacy, and acceptable use); an AI-literacy plan for faculty and staff, not just students; and a small number of high-value pilots in advising, student success, or operations that prove value quickly. In my work with the California State University system, campuses that pair governance with enablement — rather than leading with restrictions — see far faster, healthier adoption.
What are the pros and cons of AI in education?
On the upside: personalized support, faster feedback, and real gains in access for students who never had a tutor. The main risks are academic-integrity erosion, data-privacy and FERPA compliance, algorithmic bias in admissions or grading tools, over-reliance that undercuts critical thinking, and widening equity gaps between students with access to premium tools and those without. Each is manageable with governance and literacy — but only if leaders address them deliberately rather than reactively.
Will AI replace teachers?
No. AI will change what teaching is, and it already has. The parts software handles well (drilling, first-pass feedback, answering the same question at 11pm) are moving to machines, and what remains is the part that was always the job: judgment, motivation, and knowing which student needs what this week. The sharper pressure is curriculum half-life, because course material now expires faster than the committee cycle that approves it. Faculty who get real support to adapt come out of this stronger. The ones left to work it out alone will not.
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