AI in Higher Education explores current developments in artificial intelligence and their implications for colleges and universities. Episodes examine how AI can enhance teaching and learning, support student success, improve the delivery of student services, and increase institutional effectiveness and efficiency. The podcast also considers emerging challenges and questions surrounding the responsible use of AI in higher education, drawing on recent developments, research, and examples from institutions and organizations.
Created by Ralph Aldredge, PhD, PE, Executive Associate Dean in the College of Engineering and Professor of Mechanical and Aerospace Engineering at the University of California, Davis.
The podcast is created using a human-directed, AI-assisted production process. Artificial intelligence is used to assist with research, script development, and narration. Topics, editorial direction, and published content are reviewed and curated by Ralph Aldredge.
Latest Episodes
How Higher Education Is Testing AI for Teaching, Literacy, and Student Support
This episode examines a shift from broad AI experimentation toward focused applications in higher education. Examples include Stanford’s course-level AI pilots, Purdue...
Bounded AI Pilots in Higher Education: Feedback, Tutoring, Canvas, and Student Success
This episode examines how higher-education institutions are moving from broad AI announcements toward bounded, evaluated implementations. Topics include New Jersey’s s...
Higher Education AI: From Faculty Playbooks to Active Learning at Scale
This episode examines how higher-education institutions are moving from broad AI principles toward focused implementation. Topics include Georgia Tech’s faculty-author...
How Universities Are Testing AI: Pilots, Student Partnerships, Skills, and Safeguards
This episode examines how universities are moving from broad AI mandates toward structured experimentation. We look at faculty-led pilots at Michigan and Cornell, Geor...
How Universities Are Moving from AI Experimentation to Governed Implementation
This episode examines how higher-education institutions are moving from broad AI experimentation toward managed, evidence-oriented implementation. Examples include Jis...