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 pilot, the University of Washington’s narrowly scoped faculty-led AI-agent experiments, and Queen Mary University of London’s human-reviewed assessment support.
Together, these cases suggest a practical approach to institutional AI: define a specific problem, establish governance and prohibited uses, retain human responsibility, and evaluate whether the technology improves learning or student support.
TOPICS:
- AI-supported academic advising and career planning
- AI writing feedback and student support
- Institution-controlled AI in learning management systems
- Faculty-led AI-agent pilots
- Human-reviewed AI assessment and feedback
- AI governance and evaluation in higher education
SOURCES:
- DePaul University — https://www.depaul.edu/news/driehaus-debuts-ai-powered-advising-tool-blueprint
- National Institute for Student Success at Georgia State University — https://niss.gsu.edu/2026/09/30/early-findings-from-an-a-i-writing-assistant-pilot/
- University of Alberta — https://www.ualberta.ca/en/provost/projects-initiatives/learnwise-ai-pilot-project.html
- University of Washington — https://uwconnect.uw.edu/it?id=kb_article_view&sysparm_article=KB0038162
- Queen Mary University of London — https://www.sems.qmul.ac.uk/news/7469/edumark-ai-queen-mary-wide-pilot-to-support-assessment-and-feedback
AUTHOR:
Ralph Aldredge, PhD, PE
WEBSITE:
https://AIHigherEdToday.com
YOUTUBE URL:
https://www.youtube.com/watch?v=9xCM_imjCwA
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Although sources and content are reviewed before publication, information may be incomplete, contain errors, or become outdated as developments evolve.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 15, 2026
EPISODE TYPE:
Full
COPYRIGHT:
© 2026 Ralph Aldredge. Original script and commentary. All rights reserved.
The episode also explores the University of Alberta’s Canvas-embedded LearnWise pilot, the University of Washington’s narrowly scoped faculty-led AI-agent experiments, and Queen Mary University of London’s human-reviewed assessment support.
Together, these cases suggest a practical approach to institutional AI: define a specific problem, establish governance and prohibited uses, retain human responsibility, and evaluate whether the technology improves learning or student support.
TOPICS:
- AI-supported academic advising and career planning
- AI writing feedback and student support
- Institution-controlled AI in learning management systems
- Faculty-led AI-agent pilots
- Human-reviewed AI assessment and feedback
- AI governance and evaluation in higher education
SOURCES:
- DePaul University — https://www.depaul.edu/news/driehaus-debuts-ai-powered-advising-tool-blueprint
- National Institute for Student Success at Georgia State University — https://niss.gsu.edu/2026/09/30/early-findings-from-an-a-i-writing-assistant-pilot/
- University of Alberta — https://www.ualberta.ca/en/provost/projects-initiatives/learnwise-ai-pilot-project.html
- University of Washington — https://uwconnect.uw.edu/it?id=kb_article_view&sysparm_article=KB0038162
- Queen Mary University of London — https://www.sems.qmul.ac.uk/news/7469/edumark-ai-queen-mary-wide-pilot-to-support-assessment-and-feedback
AUTHOR:
Ralph Aldredge, PhD, PE
WEBSITE:
https://AIHigherEdToday.com
YOUTUBE URL:
https://www.youtube.com/watch?v=9xCM_imjCwA
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 15, 2026
EPISODE TYPE:
Full
COPYRIGHT:
© 2026 Ralph Aldredge. Original script and commentary. All rights reserved.
