PODCAST · education
AI in Higher Education
by Ralph Aldredge, PhD, PE
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.AI in Higher Education is an independent educational project and is not an official publication or statement of the University of California, Davis.The podcast uses a human-directed, AI-assisted production process. Artificial intelligence assists with research, script development,
Episodes
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Preparing Students for AI-Enabled Work: Skills, Evidence, and Employer Partnerships
Research from Ithaka S+R and *Frontiers in Education* points to an alignment gap between employer expectations and how instructors teach AI-related capabilities. Employers increasingly value workflow redesign, human–AI collaboration, verification, ethical judgment, and the ability to apply skills...
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Institution-Controlled AI for Advising, Writing, Learning, and Assessment
DePaul’s BluePrint connects academic choices with career planning, while Georgia State’s writing-feedback pilot illustrates both the potential of after-hours support and the limits of observational outcome data. The episode also explores the University of Alberta’s Canvas-embedded LearnWise…
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From AI Access to Deliberate Practice in Higher Education
Arden University’s partnership with Google Cloud and Baruch College’s AI Leadership Initiative illustrate two different approaches to building institution-wide AI capacity, from enterprise access to shared academic infrastructure and supervised experimentation. The episode also examines an IIM...
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AI Avatars for Practice and Reflection Across Teacher, Nursing, Counseling, and Medical Education
AI avatars are moving from demonstrations toward structured rehearsal of professional conversations and clinical skills. The episode explores examples from Monash University, the University of Northampton, Columbia University School of Nursing, and Touro University’s School of Health Sciences. It...
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AI Feedback, Reflection, and Grade Validity in Higher Education
This episode examines evidence on how AI may support engagement, computational thinking, and critical reflection while also complicating the interpretation of higher grades. It considers classroom pilots, campus AI guidance, and implications for assessment design and independent learning....
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Designing Evidence-Based AI Pilots for Higher-Education Learning
A University of Minnesota expert-consensus report maps where generative AI may support or disrupt learning, while pilots at the University of Iowa and Stanford illustrate approaches to course redesign, tutoring, assessment, and faculty-supported experimentation. The episode also explores Marshall...
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Practical AI in Higher Education: Faculty Development, Course Design, and Student Services
Universities are developing shared resources, faculty workshops, course-design tools, and discipline-specific guidance to help educators integrate AI without treating it as a substitute for professional expertise. The episode highlights initiatives at MIT, Georgia Tech, the University of…
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Beyond the Chatbot: Five Reality Checks for AI in Higher Education
This special gateway episode of AI in Higher Education revisits five developments from the series that challenge simple assumptions about AI in higher education. It asks what actually improves learning, how AI can support timely student intervention, what institutions must govern, and whether...
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AI in Higher Education: Evidence, Faculty Pilots, and Campus AI Readiness
A randomized university trial found that students given access to a course-integrated generative AI tutor had lower final grades and LMS participation, with larger estimated losses among first-generation students. The finding underscores the need to evaluate AI tools using learning, engagement…
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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’s AI-supported iterative feedback and inquiry-driven AI literacy work, and new approaches to student support and campus-wide AI...
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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 statewide AI readiness grants, Georgia State’s AI-supported writing feedback, and the University of Texas at Arlington’s...
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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-authored AI playbook, MIT’s cross-institution faculty-development pilot, and the University of Sydney’s research into course-specific AI...
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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, Georgetown’s student–faculty course redesign model, and Washington University’s reported results from AI-literacy and...
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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 Jisc’s secure AI assistants for professional services, MIT’s AI-aware teaching framework, and Stanford’s faculty-led education...
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Simulations, AI Literacy, and Critical Thinking
This episode examines how universities are moving beyond general-purpose AI adoption toward structured, discipline-specific learning environments. We explore an AI-powered simulation center at the University of Arkansas at Little Rock and Texas A&M’s AI-avatar practice environment for business...
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Bounded AI in Higher Education: Pilots, Learning Evidence, Feedback, and Governance
This episode examines how universities are moving from broad access to general-purpose chatbots toward bounded, course-grounded AI. We look at the University of Alberta’s Canvas-based LearnWise pilot and the University of Washington’s assignment-specific AI agents. The episode also explores...
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AI in Higher Education: Inquiry-Based Tutors, Multi-Model Access, and AI Readiness
This episode examines how higher education is moving from broad AI experimentation toward more intentional systems. We explore Willamette University’s inquiry-oriented Software Engineering Tutor, SUTD’s university-managed gateway to multiple AI models, and a national AI-readiness initiative for...
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Designing Purposeful AI Uses in Higher Education: Learning, Advising, and AI Literacy
This episode examines how universities are moving from broad AI experimentation toward targeted applications tied to learning objectives, student support, and measurable outcomes. Examples include Georgia Tech’s AI-supported reflection and clinical practice projects, Case Western Reserve’s...
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How Universities Are Moving from AI Pilots to Student Support and Governance
This episode examines how universities are moving from broad AI experimentation toward discipline-specific teaching pilots, AI-supported student services, and more deliberate governance. Examples include Cornell’s faculty-led pilots, UT Arlington’s instructional AI tutor, UT San Antonio’s RITA...
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ABOUT THIS SHOW
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.AI in Higher Education is an independent educational project and is not an official publication or statement of the University of California, Davis.The podcast uses a human-directed, AI-assisted production process. Artificial intelligence assists with research, script development,
HOSTED BY
Ralph Aldredge, PhD, PE
CATEGORIES
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