『AI in Higher Education』のカバーアート

AI in Higher Education

AI in Higher Education

著者： Ralph Aldredge PhD PE
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概要
 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Although sources and content are reviewed before publication, information may be incomplete, contain errors, or become outdated as developments evolve.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.© 2026 Ralph Aldredge
エピソード
  • Faster Math Practice, Weaker Retention? Making AI Use Deliberate in Higher Ed

    Faster Math Practice, Weaker Retention? Making AI Use Deliberate in Higher Ed
    2026/11/09
    A large-scale mathematics preprint raises a practical question for higher education: can faster completion on problems susceptible to AI assistance coexist with weaker unaided retention? The reported association is preliminary, but it reinforces the need to measure what students can do without AI—not only how quickly they complete practice on problems susceptible to AI assistance.

    The episode also examines Stanford’s $10 million initiative to redesign undergraduate majors, including intentionally AI-free learning activities. It then surveys bounded implementations at Stony Brook, the University of Iowa, and the University of Alberta, where AI supports formative assessment, disability accommodations, course assistance, and feedback while instructors retain review and decision-making authority.

    The discussion concludes with the Middle States Commission on Higher Education’s Workforce Trust AIHub pilot and three institutional considerations: map AI-related outcomes across programs, evaluate assisted and unaided performance, and define which AI outputs and decisions must remain under human control.

    TOPICS:
    - AI curriculum redesign
    - Mathematics learning and retention
    - Formative assessment and feedback
    - Accessibility and AI-generated class notes
    - Grounded AI assistants in learning-management systems
    - Workforce alignment and accreditation

    SOURCES:
    - Stanford Report — https://news.stanford.edu/stories/2026/11/provost-initiative-college-majors-ai
    - arXiv — https://arxiv.org/html/2605.21629v3
    - arXiv — https://arxiv.org/html/2610.36654v1
    - University of Iowa OneIT — https://oneit.uiowa.edu/news/2026/03/ai-powered-note-depot-simplifies-class-notes-while-supporting-student-access
    - University of Alberta — https://www.ualberta.ca/en/provost/projects-initiatives/learnwise-ai-pilot-project.html
    - Middle States Commission on Higher Education — https://www.msche.org/2026/11/02/msche-accelerates-workforce-aihub-pilot-with-lumina-foundation-support/

    AUTHOR:
    Ralph Aldredge, PhD, PE

    WEBSITE:
    https://AIHigherEdToday.com

    YOUTUBE URL:
    https://www.youtube.com/watch?v=klip3plGDuY

    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:
    November 6, 2026

    EPISODE TYPE:
    Full

    COPYRIGHT:
    © 2026 Ralph Aldredge. Original script and commentary. All rights reserved.
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    9 分
  • Higher-Ed AI Adoption: Faculty Pilots, Course Tutors, and Evidence of Learning

    Higher-Ed AI Adoption: Faculty Pilots, Course Tutors, and Evidence of Learning
    2026/11/05
    Universities are moving beyond unrestricted chatbot access toward more structured approaches to AI. This episode examines Wake Forest’s faculty-led AI initiative, UC San Diego’s course-grounded tutoring project, and the University of Iowa’s managed AI Gateway for research and custom agents.

    The episode also reviews two studies with contrasting findings: one found that brief, structured AI-literacy modules improved several student competencies, while another found no significant effects from a semester-long AI chatbot intervention.

    Together, these developments suggest that institutions should define clear educational purposes, teach AI competencies explicitly, and require evidence of learning, engagement, and equity effects before scaling AI tools.

    TOPICS:
    - Faculty-led AI experimentation
    - Course-grounded AI tutoring
    - Managed AI workspaces and governance
    - Student AI literacy
    - Evidence-based AI adoption
    - Randomized studies of AI in higher education

    SOURCES:
    - Inside WFU — https://inside.wfu.edu/2026/10/ai-at-wake-forest-what-the-ai-task-force-is-doing-and-how-you-can-help-shape-whats-next/
    - UC San Diego Today — https://today.ucsd.edu/story/how-students-are-learning-to-shape-the-future-of-ai
    - University of Iowa Artificial Intelligence — https://ai.uiowa.edu/news/2026?page=0
    - Computers & Education — https://www.sciencedirect.com/science/article/pii/S0360131526000783
    - Computers in Human Behavior Reports — https://www.sciencedirect.com/science/article/pii/S2451958826001351

    AUTHOR:
    Ralph Aldredge, PhD, PE

    WEBSITE:
    https://AIHigherEdToday.com

    YOUTUBE URL:
    https://www.youtube.com/watch?v=YEix_PBcoXw

    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:
    November 3, 2026

    EPISODE TYPE:
    Full

    COPYRIGHT:
    © 2026 Ralph Aldredge. Original script and commentary. All rights reserved.
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    8 分
  • Beyond the Chatbot: Five Higher-Ed AI Developments That Change the Questions

    Beyond the Chatbot: Five Higher-Ed AI Developments That Change the Questions
    2026/11/02
    This episode curates five developments previously covered by AI in Higher Education. The cases include student-built, course-grounded chatbots at IIM Bangalore; a randomized trial in which an AI tutor was associated with lower grades and LMS engagement; and Austin Community College’s AI-supported early-intervention initiative.

    The episode also examines Jisc’s pilot of institution-specific AI assistants for professional services and Ithaka S+R findings on differences between employer and instructor expectations for AI skills.

    Taken together, these examples frame higher-education AI as a process of redesigning assessment, evaluating educational outcomes, connecting data to timely support, improving administrative work, and preparing graduates for AI-shaped workplaces.

    TOPICS:
    - AI in higher education
    - Assessment redesign
    - AI tutoring and student learning
    - Student success and early intervention
    - AI assistants for professional services
    - AI skills and workforce preparation

    SOURCES:
    - IIM Bangalore replaces a midterm with student-built, course-grounded chatbots — https://www.financialexpress.com/jobs-career/education/how-iim-bangalore-made-students-use-genai-to-answer-their-own-exams/4353483/
    - A randomized university trial finds that an AI tutor can reduce grades and LMS engagement — https://edsi.umd.edu/publications/effects-course-integrated-ai-tutoring-student-performance-and-engagement-randomized
    - Austin Community College pilots a large-scale AI-supported early-intervention system — https://www.insidehighered.com/news/student-success/college-experience/2026/09/22/5-ways-ai-reshaping-student-success
    - Jisc pilots secure AI assistants for university professional services — https://nationalcentreforai.jiscinvolve.org/wp/2026/09/14/exploring-ai-assistants-for-professional-services-the-knowledgeflow-pilot-gets-underway/
    - Ithaka finds employers and instructors largely disagree 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://www.youtube.com/watch?v=HFneaX8B62w

    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 30, 2026

    EPISODE TYPE:
    Full

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