We often idealize a college campus as a place of ideas and personal growth, but we have to remember that danger can erupt without notice.

Martha Oakley couldn’t ignore the data.

The statistics about student success in her discipline were damning, and the success rates elsewhere were just as troubling:

We just looked at our office clock and realized that it was already March.

After we did some deep-breathing exercises and some puzzling over what happened to February, we realized the upside of losing track of time:

Spring break is only days – yes, days! – away.

We called it a non-workshop.

When Turnitin activated its artificial intelligence detector this month, it provided a substantial amount of nuanced guidance.

The pandemic has taken a heavy mental and emotional toll on faculty members and graduate teaching assistants.

By Doug Ward

Not surprisingly, tools for detecting material written by artificial intelligence have created as much confusion as clarity.

Students at several universities say they have been falsely accused of cheating, with accusations delaying graduation for some. Faculty members, chairs, and administrators have said they aren’t sure how to interpret or use the results of AI detectors.

Instructors have raised widespread concern about the impact of generative artificial intelligence on undergraduate education.

A year after the release of a know-it-all chatbot, educators have yet to find a satisfying answer to a nagging question: What are we supposed to do with generative artificial intelligence?

One reason generative AI has been so perplexing to educators is that there is no single step that all instructors can take to make things easier. Here are a few things what we do know, though:

If you are sitting on the fence, wondering whether to jump into the land of generative AI, take a look at some recent news – and then jump.