AI in Higher Education

Ralph Aldredge, PhD, PE
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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, and narration, while source selection, editorial direction, and published content are reviewed and curated by Ralph Aldredge. This podcast is provided for educational and informational purposes. Although sources and content are reviewed before publication, information may be incomplete, contain errors, or become outdated as developments evolve. Listeners should consult original sources and exercise independent judgment before relying on the information presented. © 2026 Ralph Aldredge. All rights reserved.

  1. 14h ago

    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 University’s effort to connect course learning with workforce skills and examines implementation lessons from the University of Maryland’s AI-tutor trial, including how tool defaults, instructor preparation, and student incentives shape outcomes. For higher-education leaders, faculty, instructional designers, and assessment professionals, the discussion offers three practical considerations: design pilots around learning processes, make guided practice a priority, and support small course redesign experiments with meaningful evaluation. TOPICS:- Generative AI and learning processes- Evidence-based AI pilots- AI tutoring and guided practice- Course redesign and assessment- Workforce skills and curriculum alignment- Instructor oversight and implementation SOURCES:- University of Minnesota College of Education and Human Development — https://www.cehd.umn.edu/AI-expert-consensus-report-2026- University of Iowa Office of Teaching, Learning, and Technology — https://teach.its.uiowa.edu/initiatives/pilots- Marshall University News — https://www.marshall.edu/news/2026/10/marshall-online-awarded-200000-grant-for-workforce-education-and-ai/- Stanford Center for Teaching and Learning — https://ctl.stanford.edu/aimes/publications/co-leads-reflect- Inside Higher Ed — https://www.insidehighered.com/news/tech-innovation/artificial-intelligence/2026/10/07/maryland-ai-research-raised-more-questions AUTHOR:Ralph Aldredge, PhD, PE WEBSITE:https://AIHigherEdToday.com YOUTUBE URL:https://www.youtube.com/watch?v=AIkfZUG1ZyY DISCLOSURE:This episode uses AI-generated narration. DISCLAIMER:This podcast is provided for educational and informational purposes. Although sources and content are reviewed before publication, information may be incomplete, contain errors, or become outdated as developments evolve. Listeners should consult original sources and exercise independent judgment before relying on the information presented. EPISODE DATE:October 10, 2026 EPISODE TYPE:Full COPYRIGHT:© 2026 Ralph Aldredge. Original script and commentary. All rights reserved.

  2. 2d ago

    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 Michigan, and Kennesaw State. It also examines the University of Leicester’s narrowly focused student-service agent and the University of Nevada, Reno’s “lazy prompt test” for evaluating whether assignments still measure intended learning. The discussion concludes with practical considerations for higher-education leaders: building faculty capacity, starting with source-grounded student-service workflows, and reviewing assignments for AI resilience. TOPICS:- Faculty AI development- Institutional AI strategies- AI-supported course design and assessment- Bounded student-service agents- Human judgment and responsible AI- Assignment redesign SOURCES:- MIT News, “MIT Schwarzman College of Computing launches pilot to help educators teach AI across disciplines” — https://news.mit.edu/2026/mit-schwarzman-college-computing-launches-pilot-help-educators-teach-ai-across-disciplines-0909- Georgia Tech, “Academic AI Strategy Establishes Shared Vision for Teaching and Learning at Georgia Tech” — https://www.gatech.edu/news/2026/08/31/academic-ai-strategy-establishes-shared-vision-teaching-and-learning-georgia-tech- University of Michigan Information and Technology Services, “Teaching & Learning — FY2026 Accomplishments” — https://its.umich.edu/accomplishments/2026/teaching-learning/detail- University of Leicester, “Leicester launches AI student helper as it pushes to lead the sector on responsible AI” — https://le.ac.uk/news/2026/september/leicester-launches-ai-student-helper-responsible-ai- Kennesaw State University, “Kennesaw State researcher earns prestigious NSF CAREER Award” — https://www.kennesaw.edu/news/stories/2026/ksu-researcher-earns-nsf-career-award.php- University of Nevada, Reno, “AI expert urges faculty to redesign courses for AI era” — https://www.unr.edu/nevada-today/news/2026/ai-in-classroom-sidorkin AUTHOR:Ralph Aldredge, PhD, PE WEBSITE:https://AIHigherEdToday.com YOUTUBE URL: DISCLOSURE:This episode uses AI-generated narration. DISCLAIMER:This podcast is provided for educational and informational purposes. Although sources and content are reviewed before publication, information may be incomplete, contain errors, or become outdated as developments evolve. Listeners should consult original sources and exercise independent judgment before relying on the information presented. EPISODE DATE:October 8, 2026 EPISODE TYPE:Full COPYRIGHT:© 2026 Ralph Aldredge. Original script and commentary. All rights reserved.

  3. 3d ago

    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 curricula reflect the AI-enabled work employers expect. Topics include a randomized trial in which course-integrated AI tutoring was associated with lower grades and LMS engagement; Purdue’s AI-supported practice, feedback, and resubmission model; Austin Community College’s digital twin initiative; Jisc’s pilot of institution-specific AI assistants; and an Ithaka S+R study of instructor and employer priorities for AI skills. Together, these examples point to a common principle: effective implementation requires a clear purpose, appropriate boundaries, evidence of results, and preserved human responsibility. TOPICS:- AI and learning outcomes- Mastery learning and AI-supported feedback- Student-success analytics and early intervention- AI governance and institutional accountability- Professional-services automation- AI skills and workforce preparation SOURCES:- University of Maryland — Randomized trial finds course-integrated AI tutoring reduced grades and LMS engagement — https://edsi.umd.edu/publications/effects-course-integrated-ai-tutoring-student-performance-and-engagement-randomized- Purdue University — Purdue uses AI-supported feedback and resubmission to support mastery learning — https://www.rcac.purdue.edu/news/7924- Inside Higher Ed — Austin Community College pilots a digital twin for coordinated early intervention — https://www.insidehighered.com/news/student-success/college-experience/2026/09/22/5-ways-ai-reshaping-student-success- Jisc — Jisc pilots secure AI assistants for professional services — https://nationalcentreforai.jiscinvolve.org/wp/2026/09/14/exploring-ai-assistants-for-professional-services-the-knowledgeflow-pilot-gets-underway/- Ithaka S+R — Employer and instructor priorities diverge sharply on AI skills — https://sr.ithaka.org/publications/ai-skills-for-college-graduates/ AUTHOR:Ralph Aldredge, PhD, PE WEBSITE:https://AIHigherEdToday.com YOUTUBE URL:https://youtu.be/wZzM1KLHWiQ DISCLOSURE:This episode uses AI-generated narration. DISCLAIMER:This podcast is provided for educational and informational purposes. Although sources and content are reviewed before publication, information may be incomplete, contain errors, or become outdated as developments evolve. Listeners should consult original sources and exercise independent judgment before relying on the information presented. EPISODE DATE:October 7, 2026 EPISODE TYPE:Full COPYRIGHT:© 2026 Ralph Aldredge. Original script and commentary. All rights reserved.

  4. 4d ago

    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, and subgroup outcomes—not simply adoption or convenience. The episode also explores faculty-led AI pilots at the University of Michigan and the University of Washington, where experiments are tied to specific learning challenges, assignments, and feedback cycles. It concludes with public-system AI coordination through NASH and the University of Alabama’s campuswide AI literacy experience. Together, these developments point toward a disciplined approach: define the educational problem, constrain the AI use case, evaluate results, and connect implementation to governance and student needs. TOPICS:- AI tutoring and student learning outcomes- Faculty-led AI pilots- Assignment-specific AI agents- Higher-education AI governance and readiness- Campuswide AI literacy- Equity and student success SOURCES:- University of Maryland Center for Educational Data Science and Innovation, “The Effects of Course-Integrated AI Tutoring on Student Performance and Engagement: A Randomized University Trial” — https://edsi.umd.edu/publications/effects-course-integrated-ai-tutoring-student-performance-and-engagement-randomized- University of Michigan Center for Academic Innovation, “Faculty Invited to Propose Projects That Use AI to Improve How Students Learn” — https://ai.umich.edu/blog-posts/faculty-invited-to-propose-projects-that-use-ai-to-improve-how-students-learn/- University of Washington Information Technology, “Autumn 2026 Pilot — Building Student-Facing AI Agents” — https://uwconnect.uw.edu/it?id=kb_article_view&sysparm_article=KB0038162- National Association of Higher Education Systems, “NASH Launches First National AI Advisory Board Built Exclusively for Public Higher Education Systems” — https://nash.edu/2026/09/nash-launches-first-national-ai-advisory-board-built-exclusively-for-public-higher-education-systems/- University of Alabama Center for Instructional Technology, “September 2026 Newsletter” — https://cit.ua.edu/september-2026-newsletter/ AUTHOR:Ralph Aldredge, PhD, PE WEBSITE:https://AIHigherEdToday.com YOUTUBE URL: DISCLOSURE:This episode uses AI-generated narration. DISCLAIMER:This podcast is provided for educational and informational purposes. Although sources and content are reviewed before publication, information may be incomplete, contain errors, or become outdated as developments evolve. Listeners should consult original sources and exercise independent judgment before relying on the information presented. EPISODE DATE:October 6, 2026 EPISODE TYPE:Full COPYRIGHT:© 2026 Ralph Aldredge. Original script and commentary. All rights reserved.

  5. Oct 3

    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 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 AUTHOR:Ralph Aldredge, PhD, PE WEBSITE:https://AIHigherEdToday.com YOUTUBE URL: DISCLOSURE: DISCLAIMER:This podcast is provided for educational and informational purposes. Although sources and content are reviewed before publication, information may be incomplete, contain errors, or become outdated as developments evolve. Listeners should consult original sources and exercise independent judgment before relying on the information presented.This episode uses AI-generated narration. EPISODE DATE:October 3, 2026 EPISODE TYPE:Full COPYRIGHT:© 2026 Ralph Aldredge. Original script and commentary. All rights reserved.

  6. Oct 2

    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 question-driven AI tutor. The episode also explores the University of Alberta’s Canvas-integrated LearnWise pilot and the University of North Carolina at Pembroke’s human-centered AI and student-success initiative. Across these examples, the focus is on formative feedback, guided reasoning, human review, shared infrastructure, and evidence of educational or student-support value. The discussion concludes with practical considerations for setting evidence standards, designing AI around revision and reasoning, and building shared institutional capacity. TOPICS:- Higher-education AI readiness and shared infrastructure- AI-enabled writing feedback and pilot evaluation- Question-driven tutoring and scenario-based learning- Canvas-integrated, institution-controlled AI- AI and coordinated student-success initiatives- Human oversight and evidence standards for AI pilots SOURCES:- Office of the Secretary of Higher Education — https://www.nj.gov/highereducation/broadcasts/2026/09302026.shtml- Early Findings from an A.I. Writing Assistant Pilot – The National Institute for Student Success at Georgia State — https://niss.gsu.edu/2026/09/30/early-findings-from-an-a-i-writing-assistant-pilot/- UTA develops AI tutor that teaches, not tells - News Center - The University of Texas at Arlington — https://www.uta.edu/news/news-releases/2026/09/10/uta-develops-ai-tutor-that-teaches-not-tells- LearnWise AI Pilot Project | Office of the Provost and Vice-President (Academic) — https://www.ualberta.ca/en/provost/projects-initiatives/learnwise-ai-pilot-project.html- UNCP Lands Nearly $5 Million to Advance AI, Transform Student Success | The University of North Carolina at Pembroke — https://uncp.edu/news/2026/uncp-lands-nearly-five-million-to-advance-ai-transform-student-success.html AUTHOR:Ralph Aldredge, PhD, PE WEBSITE:https://AIHigherEdToday.com YOUTUBE URL: DISCLOSURE:This episode uses AI-generated narration. DISCLAIMER:This podcast is provided for educational and informational purposes. Although sources and content are reviewed before publication, information may be incomplete, contain errors, or become outdated as developments evolve. Listeners should consult original sources and exercise independent judgment before relying on the information presented. EPISODE DATE:October 2, 2026 EPISODE TYPE:Full COPYRIGHT:© 2026 Ralph Aldredge. Original script and commentary. All rights reserved.

  7. Oct 1

    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 feedback. The episode also considers the University of Leicester’s bounded, source-grounded student assistant and Arizona State University’s large-scale research on AI-supported active learning. Across these examples, the discussion focuses on human oversight, discipline-specific context, scaffolded feedback, and evaluating whether AI improves learning and student services. The voice in this episode is AI-generated. TOPICS:- Faculty-authored AI implementation and institutional playbooks- Faculty development for teaching AI across disciplines- AI tutors, adaptive feedback, and learning evaluation- Bounded AI assistants for student onboarding- Active learning and large-scale educational research- Human oversight and responsible AI implementation SOURCES:- Georgia Tech, “Academic AI Strategy Establishes Shared Vision for Teaching and Learning at Georgia Tech” — https://www.gatech.edu/news/2026/08/31/academic-ai-strategy-establishes-shared-vision-teaching-and-learning-georgia-tech- MIT News, “MIT Schwarzman College of Computing launches pilot to help educators teach AI across disciplines” — https://news.mit.edu/2026/mit-schwarzman-college-computing-launches-pilot-help-educators-teach-ai-across-disciplines-0909- University of Sydney, “Centre puts personalised learning at the heart of engineering education” — https://www.sydney.edu.au/engineering/news-and-events/news/2026/09/22/centre-puts-personalised-learning-at-the-heart-of-engineering-ed.html- University of Leicester, “Leicester launches AI student helper as it pushes to lead the sector on responsible AI” — https://le.ac.uk/news/2026/september/leicester-launches-ai-student-helper-responsible-ai- U.S. Department of Education, “Transformative Research in the Education Sciences” — https://www.ed.gov/grants-and-programs/grants-higher-education/improvement-of-postsecondary-education/transformative-research-education-sciences-84305t AUTHOR:Ralph Aldredge, PhD, PE WEBSITE:https://AIHigherEdToday.com YOUTUBE URL: DISCLOSURE:This episode uses AI-generated narration. DISCLAIMER:This podcast is provided for educational and informational purposes. Although sources and content are reviewed before publication, information may be incomplete, contain errors, or become outdated as developments evolve. Listeners should consult original sources and exercise independent judgment before relying on the information presented. EPISODE DATE:October 1, 2026 EPISODE TYPE:Full COPYRIGHT:© 2026 Ralph Aldredge. Original script and commentary. All rights reserved.

  8. Sep 30

    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 faculty-development initiatives. DESCRIPTION: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 faculty-development initiatives. The episode also explores Ithaka S+R’s findings on the gap between employer and instructor priorities for AI skills, along with Student Defense’s concerns about protections in high-stakes services such as admissions, financial aid, advising, and tutoring. The discussion concludes with practical ideas for higher-education leaders: fund evidence-generating pilots, engage students as paid co-designers, map AI competencies across curricula, and establish clear accountability for automated systems. TOPICS:- Faculty-led AI teaching pilots- Student partnerships and AI course redesign- AI literacy and faculty development- Employer expectations for AI skills- AI governance and student protections- Assessment and accountability SOURCES:- University of Michigan Center for Academic Innovation — https://ai.umich.edu/blog-posts/faculty-invited-to-propose-projects-that-use-ai-to-improve-how-students-learn/- Cornell Chronicle — https://news.cornell.edu/stories/2026/09/ai-education-initiatives-emphasize-experimentation-balanced-use- Georgetown University Office of the President — https://president.georgetown.edu/messages/ai-initiative-sep-2026/- Washington University in St. Louis — https://ai.washu.edu/about/- Ithaka S+R — https://sr.ithaka.org/publications/ai-skills-for-college-graduates/- Student Defense — https://defendstudents.org/all/new-student-defense-report-warns-rapid-ai-adoption-in-higher-education-is-outpacing-student-protections AUTHOR:Ralph Aldredge, PhD, PE WEBSITE:https://AIHigherEdToday.com YOUTUBE URL: DISCLOSURE:This episode uses AI-generated narration. DISCLAIMER:This podcast is provided for educational and informational purposes. Although sources and content are reviewed before publication, information may be incomplete, contain errors, or become outdated as developments evolve. Listeners should consult original sources and exercise independent judgment before relying on the information presented. EPISODE DATE:September 30, 2026 EPISODE TYPE:Full COPYRIGHT:© 2026 Ralph Aldredge. Original script and commentary. All rights reserved.

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About

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, and narration, while source selection, editorial direction, and published content are reviewed and curated by Ralph Aldredge. This podcast is provided for educational and informational purposes. Although sources and content are reviewed before publication, information may be incomplete, contain errors, or become outdated as developments evolve. Listeners should consult original sources and exercise independent judgment before relying on the information presented. © 2026 Ralph Aldredge. All rights reserved.

Information

  • Creator
    Ralph Aldredge, PhD, PE
  • Years Active
    2026
  • Episodes
    14
  • Rating
    Clean
  • Copyright
    © 2026 Ralph Aldredge
  • Show Website
    AI in Higher Education