This study investigates how university educators perceive and interact with generative AI and large language models in the classroom setting. Authors Aashish Ghimire, James Prather, and John Edwards provide an in-depth analysis:

• Awareness and sentiments: Most educators are increasingly aware of and show positive attitudes towards AI in education.
• Influencing factors: Various factors influence these attitudes, with no direct correlation found between teaching style and AI perception.
• Technical understanding: Computer science educators exhibit deeper technical understanding and more favorable opinions of AI than their counterparts in other disciplines.
• Interview insights: Follow-up interviews provide nuanced views and underline the diverse academic positions on AI usage in education.

Importance: Understanding educator sentiments and the factors influencing these perceptions is essential for the successful integration of AI technologies in education. The results could help tailor AI tools to better suit educational environments and enhance teaching and learning experiences.