Teaching & Learning
Should AI Be Scaled Down?
The case for maximizing AI models’ efficiency—not size
by Nina Pasquini
Universities in Public Debates
Institutional position-taking at Harvard and in higher education
by Jonathan Shaw
Applying AI—How and Why
Using AI in pedagogy, research, and University administration
by Jonathan Shaw
Talking about Talking
Fostering healthy disagreement
by Max J. Krupnick
Reengineering Arts and Sciences
Spurring innovation, rethinking departments, tapping centers—and Ph.D. support
by John S. Rosenberg
Closing the Gap
Expiring federal funds can address pandemic learning losses.
by Nina Pasquini
Regearing Ph.D. Education
Rethinking advising, and financial needs, as doctoral training evolves.
by John S. Rosenberg
AI in the Academy
Generative AI can enhance teaching and learning but augurs a shift to oral forms of student assessment.
by Jonathan Shaw
An “Egalitarian Curiosity”
How to encourage free speech and inquiry on campus
by Jonathan Shaw
Embracing AI
The dawn of the virtual teaching fellow
by Jonathan Shaw