"Higher education tends to change slowly, until it doesn’t. AI is bringing about challenges more systemic and complex than students using chatbots to write essays. While gen AI tools offer a path to personalized, 24/7 tutoring that scales for everyone, they simultaneously challenge the traditional methods of testing and grading that have stood for decades.
Institutions now face a divide between those embracing automated learning and those attempting to protect academic integrity from sophisticated machine outputs. This creates a moment of forced evolution, where the very value of a degree is being questioned. How do we measure real learning when a machine can replicate the results? What skills should be prioritized when AI can increasingly perform well in various professional, knowledge-based tasks? And how can universities integrate this technology without losing the human critical thinking that higher education is built on?"
