AI in Higher Ed Will Come Slowly, Until All of a Sudden!
AI in Higher Ed Will Come Slowly, Until All of a Sudden! Higher education is, by nature, very slow to change. So it is with embracing Artificial Intelligence (AI). Yet, when it finally comes, the changes will come in an avalanche. In discussions with faculty and staff, I have encountered some reluctance to take AI…
Read More The New Cliff Facing Higher Ed and How AI Might Help Solve It
There is a new “cliff” in American higher education, and it is not the demographic cliff. Rather, it is the dramatic cliff in math knowledge, skills, and abilities. Let me be clear that other discipline deficiencies are found in this new generation of college students, however they are dwarfed by those in math. These have…
Read More Transitioning to the Agentic University 2026–27
Most of us in higher education are now familiar with generative AI bots, where you formulate a prompt and get a reply. Yet, we are now beginning the advancement to agentic AI, the autonomous 24-7 project manager. The dramatic enhancement in the capability of AI as it moves from bots to agents will bring about…
Read More Universities Teaching Wisdom Skills 2030
Two weeks ago, we examined the transformation of higher education in the next five years. Today, we look at how this transformation will shift the emphasis of our teaching. As with the prior column, this week’s thesis evolves out of the Zoom Keynote to the Rethink AI Conference, sponsored in part by the International Academy…
Read More Higher Education AI Transformation 2030
We have begun a transformation in higher education that will make us more responsive, efficient, and effective at achieving our multiple missions. This will not be easy or without trauma, but it is necessary. I had the honor and good fortune to be invited by the generous and insightful Board Chair of the International Professors…
Read More AI Hallucinations May Soon Be History
An artifact of the race to the top in Artificial Intelligence (AI) is that mistakes inevitably occur in refining the models that are under continuous development. One of those many mistakes apparently led to hallucinations in outputs. We all are witness to the incredibly frenetic race to develop AI tools that publicly kicked off on…
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