AI in Higher Education

About AI in Higher Education

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Although sources and content are reviewed before publication, information may be incomplete, contain errors, or become outdated as developments evolve.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.

Publisher

Ralph Aldredge, PhD, PE

Category

education · technology

Language

en

Explicit

No

First episode

28 Sept 2026

Latest episode

13 Oct 2026

Latest episodes

16 episodes in the feed.

1. 

   13 Oct 2026

   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 also examines a randomized study of GPT-simulated patient interviews involving medical students, including its reported performance gains and important limitations. The discussion concludes with practical guidance for higher-education leaders: begin with high-value role-plays, connect simulations to reflection and feedback, and evaluate learning outcomes alongside usability, accessibility, scenario fidelity, student anxiety, and instructor workload. TOPICS: - AI avatars in higher education - Simulation-based learning - Teacher education and parent-teacher conversations - Nursing and clinical-skills education - Counseling and culturally responsive practice - Medical interviewing and randomized evaluation SOURCES: - Monash University, Teach HQ — https://www.monash.edu/learning-teaching/teachhq/be-inspired/2026/simulating-parent-teacher-interviews-with-genai (https://www.monash.edu/learning-teaching/teachhq/be-inspired/2026/simulating-parent-teacher-interviews-with-genai) - University of Northampton — https://www.northampton.ac.uk/research-blogs/case-study-report-exploring-the-use-of-ai-avatars-at-the-university-of-northampton/ (https://www.northampton.ac.uk/research-blogs/case-study-report-exploring-the-use-of-ai-avatars-at-the-university-of-northampton/) - Columbia University School of Nursing — https://www.nursing.columbia.edu/news/embracing-avatars (https://www.nursing.columbia.edu/news/embracing-avatars) - Touro University School of Health Sciences — https://shs.touro.edu/news/stories/future-counselors-train-with-ai-avatars-at-touros-school-of-health-sciences.php (https://shs.touro.edu/news/stories/future-counselors-train-with-ai-avatars-at-touros-school-of-health-sciences.php) - BMC Medical Education — https://link.springer.com/article/10.1186/s12909-025-07614-9 (https://link.springer.com/article/10.1186/s12909-025-07614-9) AUTHOR: Ralph Aldredge, PhD, PE WEBSITE: https://AIHigherEdToday.com (https://AIHigherEdToday.com) YOUTUBE URL: https://www.youtube.com/watch?v=MsMez15ZRzo (https://www.youtube.com/watch?v=MsMez15ZRzo) 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 CREATION DATE: October 13, 2026 EPISODE TYPE: Full COPYRIGHT: © 2026 Ralph Aldredge. Original script and commentary. All rights reserved.

2. 

   12 Oct 2026

   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. DESCRIPTION: Recent higher-education studies report promising results from AI-assisted instruction, individualized GPT-4 feedback, and tools designed to prompt reflection and verification rather than simply provide answers. The episode also considers Arcadia University’s campuswide AI Navigation Hub as a model for coordinated institutional guidance. A UC Berkeley working paper examining more than 500,000 grades raises a different concern: AI-exposed coursework may be associated with substantial increases in A grades without clear evidence of equivalent learning gains. The episode discusses what this could mean for assessment validity, transcripts, and academic decision-making. The episode concludes with practical considerations for piloting AI feedback in low-stakes assignments, designing interactions around verification and metacognition, and creating visible cross-campus AI support. TOPICS: - AI-assisted instruction and computational thinking - GPT-4 feedback and student engagement - AI tools for reflection and critical thinking - Campuswide AI guidance and support - AI-related grade inflation - Assessment validity and independent learning SOURCES: - Scientific Reports — https://www.nature.com/articles/s41598-026-73775-2 - International Journal of Artificial Intelligence in Education — https://www.sciencedirect.com/science/article/pii/S1560429226000168 - Cornell Department of Physics — https://physics.cornell.edu/news/nsf-grant-explore-whether-ai-can-support-students-critical-thinking - Arcadia University — https://www.arcadia.edu/news/ctlm-centralizing-expanding-ai-support-on-campus/ - UC Berkeley Center for Studies in Higher Education — https://cshe.berkeley.edu/publications/artificial-intelligence-and-grade-inflation-cshe-higher-education-working-paper-series AUTHOR: Ralph Aldredge, PhD, PE WEBSITE: https://AIHigherEdToday.com YOUTUBE URL: https://www.youtube.com/watch?v=bhIKZuDAIdo 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 CREATION DATE: October 11, 2026 EPISODE TYPE: Full COPYRIGHT: © 2026 Ralph Aldredge. Original script and commentary. All rights reserved.

3. 

   10 Oct 2026

   Designing Evidence-Based AI Pilots for Higher-Education Learning

   This episode examines how universities are moving from broad AI enthusiasm toward bounded pilots, instructor oversight, and evidence-based implementation. It considers AI’s potential to support practice and feedback while protecting independent thinking, productive struggle, and knowledge development.

4. 

   8 Oct 2026

   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.

5. 

   7 Oct 2026

   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.

6. 

   7 Oct 2026

   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.

7. 

   3 Oct 2026

   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.

8. 

   2 Oct 2026

   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.

9. 

   1 Oct 2026

   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.

10. 

    30 Sept 2026

    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.

11. 

    29 Sept 2026

    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 projects. The episode also explores Purdue’s combination of AI-supported grading, iterative feedback, and learning analytics, along with the University of Surrey’s managed AI access and institution-wide assessment review. Across these cases, the focus is on assessment redesign, human oversight, governance, and evidence of student learning. The discussion concludes with practical options for institutions, including narrowly scoped professional-services pilots, evidence-focused faculty grants, and assessments that make learning processes more visible. TOPICS: - AI assistants for higher-education professional services - AI-aware teaching and learning frameworks - Assessment redesign and process evidence - Faculty-led AI experimentation - AI-supported grading and iterative feedback - Governance, human oversight, and institutional implementation SOURCES: - Jisc National Centre for AI, “Exploring AI assistants for professional services: the KnowledgeFlow pilot gets underway” — https://nationalcentreforai.jiscinvolve.org/wp/2026/09/14/exploring-ai-assistants-for-professional-services-the-knowledgeflow-pilot-gets-underway/ - MIT Office of the President, “AI and education: A watershed moment for MIT” — https://orgchart.mit.edu/letters/ai-and-education-watershed-moment-mit - Stanford Center for Teaching and Learning, “Twelve seed grants awarded to explore AI in education” — https://ctl.stanford.edu/news/ai-education-grants-2026 - Purdue University Rosen Center for Advanced Computing, “Undergrad TA leverages RCAC resources to enhance AI education at Purdue” — https://rcac.purdue.edu/index.php/news/7924 - University of Surrey, “Using AI at Surrey” — https://my.surrey.ac.uk/using-ai-surrey 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 29, 2026 EPISODE TYPE: Full COPYRIGHT: © 2026 Ralph Aldredge. Original script and commentary. All rights reserved.

12. 

    28 Sept 2026

    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 communication. The episode also considers student-designed AI-literacy lessons at the University of Virginia, Purdue’s adaptive inquiry-driven AI-literacy project, and Cornell’s research into AI, reflection, and critical thinking. Together, these developments highlight the importance of scenario design, clear rubrics, faculty coaching, student partnership, and evaluation plans that measure learning—not just efficiency. TOPICS: - AI-powered simulation and experiential learning - AI avatars for professional practice - Discipline-specific AI literacy - Adaptive and inquiry-driven learning - Student reflection and critical thinking - Evaluation of higher-education AI pilots SOURCES: - UA Little Rock Receives Nearly $3 Million Grant to Create AI-Powered Simulation Center — https://ualr.edu/news/2026/09/28/ua-little-rock-receives-nearly-3-million-grant-to-create-ai-powered-simulation-center/ - Scaling Experiential Learning with AI: Texas A&M Collaborates with Dell Technologies | EDUCAUSE Review — https://er.educause.edu/articles/2026/9/scaling-experiential-learning-with-ai-texas-a-m-collaborates-with-dell-technologies - Inside UVA's AI Literacy & Action Lab: A&S Students in Pilot Class Pitch AI Lesson Plans to High School - UVA Research News — https://news.research.virginia.edu/2026/09/15/inside-uvas-ai-literacy-action-lab-as-students-in-pilot-class-pitch-ai-lesson-plans-to-high-school/ - CLA-Led NSF Project Explores the Future of AI Literacy - College of Liberal Arts - Purdue University — https://www.cla.purdue.edu/news/college/2026/cla-led-nsf-project-explores-the-future-of-ai-literacy.html - NSF grant to explore whether AI can support students’ critical thinking | Cornell Chronicle — https://news.cornell.edu/stories/2026/09/nsf-grant-explore-whether-ai-can-support-students-critical-thinking AUTHOR: Ralph Aldredge, PhD, PE WEBSITE: https://AIHigherEdToday.com YOUTUBE URL: https://youtu.be/WqkqXEIBO0E 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 28, 2026 EPISODE TYPE: Full COPYRIGHT: © 2026 Ralph Aldredge. Original script and commentary. All rights reserved.

13. 

    28 Sept 2026

    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 research showing that AI access alone does not guarantee better learning, along with evidence on the strengths and limitations of AI-generated feedback. The discussion concludes with Oxford’s institution-wide, managed-access model and practical guidance for designing, evaluating, and governing AI pilots. TOPICS: - Course-grounded AI assistants - Assignment-specific AI agents - AI access and learning outcomes - Reflective and metacognitive AI use - AI-generated feedback in education - University-wide AI governance SOURCES: - University of Alberta, Office of the Provost — LearnWise AI Pilot Project — https://www.ualberta.ca/en/provost/projects-initiatives/learnwise-ai-pilot-project.html - 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 - Journal of Computer Assisted Learning — Generative AI and Learning Dynamics in Higher Education: A Longitudinal Empirical Study — https://onlinelibrary.wiley.com/doi/10.1002/jcal.70322 - Evaluating GenAI-produced feedback on undergraduate bioscience essays against good higher education feedback practice — https://pubmed.ncbi.nlm.nih.gov/42695239/ - Studies in Educational Evaluation — https://www.sciencedirect.com/science/article/pii/S0191491X26000829 - University of Oxford — Oxford becomes first UK university to offer ChatGPT Edu to all staff and students — https://www.ox.ac.uk/news/2025-09-19-oxford-becomes-first-uk-university-offer-chatgpt-edu-all-staff-and-students AUTHOR: Ralph Aldredge, PhD, PE WEBSITE: https://AIHigherEdToday.com YOUTUBE URL: https://youtu.be/NaHQSFk7Ii0 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 28, 2026 EPISODE TYPE: Full COPYRIGHT: © 2026 Ralph Aldredge. Original script and commentary. All rights reserved.

14. 

    28 Sept 2026

    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 public higher-education systems. The episode also reviews research on generative AI and learning outcomes, including the roles of instructional design and teacher AI literacy. Student-use data highlights growing demand for AI tutoring and workload support—while showing that learners continue to value instructors, peers, and human advising. The discussion concludes with practical considerations for piloting inquiry-based tutoring, evaluating managed multi-model environments, and making faculty AI literacy part of instructional innovation. TOPICS: - Inquiry-oriented AI tutoring - AI in software-engineering education - University-managed access to multiple AI models - System-level AI readiness and governance - Teacher AI literacy and student engagement - Student use of AI and human support services SOURCES: - Willamette University — “WU leads NSF grant for the teaching of software engineering” — https://news.willamette.edu/library/2026/09/nsf-grant-lucas-cordova.html - Singapore University of Technology and Design — “SUTD Broadens AI Access With Launch of University-Wide LLM Gateway” — https://www.sutd.edu.sg/media-releases-listing/sutd-broadens-ai-access-with-launch-of-university-wide-llm-gateway/ - 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/ - Wiley / Journal of Computer Assisted Learning — “The Impact of Generative Artificial Intelligence on Learning Outcomes in Higher Education: A Meta-Analysis” — https://onlinelibrary.wiley.com/doi/10.1002/jcal.70329 - PubMed / Acta Psychologica — “Teachers’ AI use and student learning outcomes in higher education: The roles of learning engagement and teacher AI literacy” — https://pubmed.ncbi.nlm.nih.gov/42790221/ - Tyton Partners — “Listening to Learners 2026” — https://www.globenewswire.com/news-release/2026/09/15/3361822/0/en/tyton-partners-releases-listening-to-learners-2026-a-national-portrait-of-students-balancing-aspirations-academics-and-ai-revealing-important-gaps-between-student-and-institutional.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: September 28, 2026 EPISODE TYPE: Full COPYRIGHT: © 2026 Ralph Aldredge. Original script and commentary. All rights reserved.

15. 

    28 Sept 2026

    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 structured teaching-pilot grants, and new research on AI-supported learning. The discussion also explores the University of Leicester’s student-services agent, Austin Community College’s AI-supported advising initiative, and evidence that short, practice-based AI-literacy modules can improve student capability. Across these examples, the episode considers how institutions can define the human role, use reliable information, and evaluate results before scaling. The central question is not whether AI works in the abstract, but when a specific application works for particular students and goals. TOPICS: - AI-supported reflection and authentic practice - Evaluation and instructional design - Higher-education AI pilot programs - AI for student services and advising - Student AI literacy - Human oversight and institutional implementation SOURCES: - Georgia Tech, “Georgia Tech Faculty Explore New Approaches to Learning With AI” — https://c21u.gatech.edu/news/2026/09/georgia-tech-faculty-explore-new-approaches-learning-ai - Case Western Reserve University, “Apply for the AI Teaching & Learning Innovation Grant Pilot Program” — https://case.edu/news/apply-ai-teaching-learning-innovation-grant-pilot-program - 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 - Inside Higher Ed, “Can AI Help Colleges Reach Struggling Students Earlier?” — https://www.insidehighered.com/news/student-success/academic-life/2026/09/11/can-ai-help-colleges-reach-struggling-students - Computers & Education, “Can asynchronous learning modules about generative AI increase students’ knowledge, skills, and self-efficacy for genAI?” — https://www.sciencedirect.com/science/article/pii/S0360131526000783 - Studies in Educational Evaluation, “Revisiting the effects of artificial intelligence in education: A meta-analysis of academic achievement and student motivation” — https://www.sciencedirect.com/science/article/pii/S0191491X26000945 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 28, 2026 EPISODE TYPE: Full COPYRIGHT: © 2026 Ralph Aldredge. Original script and commentary. All rights reserved.

16. 

    28 Sept 2026

    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 student-support assistant, and Cedarville’s career-preparation tools. The episode also considers Georgetown’s AI Fellows initiative and the growing gap between institutional adoption, independent evidence, and protections for privacy, transparency, bias, and accountability. It closes with practical considerations for designing pilots, escalation pathways, and student partnerships. This episode is intended for higher-education leaders, faculty, staff, and institutional teams evaluating responsible AI adoption. TOPICS: - Discipline-specific AI pilots in teaching and learning - AI tutors designed to support student thinking - AI-supported student services and human escalation - AI tools for career preparation - University AI governance and student partnerships - Evidence, privacy, and accountability in higher-education AI SOURCES: - Cornell Chronicle — https://news.cornell.edu/stories/2026/09/ai-education-initiatives-emphasize-experimentation-balanced-use - University of Texas at Arlington News Center — https://www.uta.edu/news/news-releases/2026/09/10/uta-develops-ai-tutor-that-teaches-not-tells - UT San Antonio Academic Affairs News — https://provost.utsa.edu/news/2026/08/story/14-rita-pilot-expansion.html - Georgetown University Office of the President — https://president.georgetown.edu/messages/ai-initiative-sep-2026/ - Cedarville University — https://www.cedarville.edu/news/2026/cedarville-combines-ai-tools-and-human-coaching-for-student-career-preparation - Inside Higher Ed — https://www.insidehighered.com/news/governance/executive-leadership/2026/09/23/ai-use-funding-cuts-how-provosts-navigate-2026 - Student Defense — https://defendstudents.org/all/shape-ai-initiative-releases-guidance-on-ai-use-in-college-recruitment-and-enrollment-w84kg-t89e5 - Inside Higher Ed — https://www.insidehighered.com/news/tech-innovation/artificial-intelligence/2026/09/14/nonexistent-research-ais-benefits-education 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 28, 2026 EPISODE TYPE: Full COPYRIGHT: © 2026 Ralph Aldredge. Original script and commentary. All rights reserved.

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