AI in Higher Education

This episode examines a shift from broad AI experimentation toward focused applications in higher education. Examples include Stanford’s course-level AI pilots, Purdue’s AI-supported iterative feedback and inquiry-driven AI literacy work, and new approaches to student support and campus-wide AI fluency.

The discussion considers how institutions can use AI to extend teaching and advising capacity while keeping human judgment central. It also explores practical questions about evidence, assessment, data governance, student consent, and responsible implementation.

TOPICS:
- Course-level AI pilots and evidence-based experimentation
- AI-supported feedback, resubmission, and mastery learning
- Discipline-specific and inquiry-driven AI literacy
- AI-supported early intervention and student success
- Data governance, consent, and institutional responsibility
- Low-barrier, interdisciplinary AI experimentation

SOURCES:
- Stanford Report — https://news.stanford.edu/stories/2026/08/seed-grants-awarded-ai-education
- Purdue University Rosen Center for Advanced Computing — https://www.rcac.purdue.edu/news/7924
- Purdue University College of Liberal Arts — https://www.cla.purdue.edu/news/college/2026/cla-led-nsf-project-explores-the-future-of-ai-literacy.html
- Inside Higher Ed — https://www.insidehighered.com/news/student-success/college-experience/2026/09/22/5-ways-ai-reshaping-student-success

DISCLOSURE:
This episode uses AI-generated narration.

EPISODE DATE:
October 3, 2026

COPYRIGHT:
© 2026 Ralph Aldredge. Original script and commentary. All rights reserved.