In this conversation, Dr. Jenae Cohn discusses her extensive experience at the intersection of higher education and technology, focusing on the challenges and opportunities presented by digital reading and generative AI.

She emphasizes the importance of adapting teaching methods to meet the needs of students who engage with texts in diverse ways, particularly in the context of AI's growing presence in education.

Dr. Cohn also addresses ethical concerns, equity in access to AI tools, and the necessity of maintaining human connections in an increasingly AI-driven educational landscape. She concludes with advice for university leaders on adopting AI thoughtfully and critically.

Take Aways

Digital technology has transformed how we consume information.
Students often read and write on screens, necessitating new teaching strategies.
Generative AI should address specific problems in education, not just be adopted for its own sake.
AI-generated textbooks may not solve the real issues in student engagement.
Faculty need to navigate the complexities of AI in the classroom.
Ethical concerns around data privacy and surveillance are paramount with AI tools.

TakeawaysEquity in access to AI tools is a significant challenge for institutions.

Maintaining human connection is crucial in an AI-driven educational environment.
University leaders should adopt AI with a mindset of continued learning and inquiry.
A thoughtful approach to AI adoption is essential to avoid negative consequences.