I am revisiting ideas from the past year on AI topics in Higher Education. The landscape for the tools changes quickly, but can universities and institutions of higher education keep up?
*AI is either the burden or the breakthrough.*
Some faculty see AI as more work, new rules, new risks, new confusion. Others see it as relief, fewer hours grading, easier prep, faster feedback.
Which way it goes depends on support.
* With training: AI streamlines routine tasks, freeing faculty to mentor and research.
* Without training: It becomes a distraction, creating frustration instead of relief.
* With collaboration: Instructional designers can help faculty reimagine assignments instead of just policing them.
AI won’t magically lighten the load. But with the right strategy, it can restore time to the parts of teaching that matter most.
Faculty should be encouraged to leverage AI tools where they can, for workload, even for simple processes. But as with students, a clear directive needs to come from the institutions on what is acceptable AI use.
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