Academics are divided on the use of generative AI, with some seeing it as a tool for minor edits and others relying on it heavily for writing. A foreign-born professor uses AI mainly for grammar and punctuation, while another academic uses it extensively to draft articles. The debate centers on whether the use of AI constitutes collaboration or cheating, as highlighted in a survey by Ehsan Mohammadi.

The MIT Schwarzman College of Computing launched the AI Educators Pilot, a program designed to help educators effectively teach AI across a variety of disciplines. The initiative began with a summer workshop attended by 19 educators from seven universities, where participants collaborated with MIT faculty to explore teaching strategies and adapt AI materials for diverse classroom settings.

The rise of online universities is transforming higher education by creating diverse institutional models tailored to different student populations. Established institutions like Pennsylvania State University and Arizona State University have expanded their digital presence. This shift addresses the needs of adults balancing education with work and family, with a focus on skills-based learning and career relevance.

The advent of AI is prompting higher education institutions to rethink how they document students' skills and knowledge. Traditional transcripts often fail to convey the competencies students acquire, but AI can aggregate detailed information from various academic records to provide a clearer picture of student abilities. Initiatives such as comprehensive learner records and digital badges are already underway at institutions including the University of Montana and the University of Colorado Boulder, aiming to make transcripts more informative for employers.