This article explores how AI agents could support teaching, student questioning, assessment, and course design while keeping educators in pedagogical control.
Scaling Experiential Learning with AI: Texas A&M Collaborates with Dell Technologies
A useful case study on how AI can help scale experiential learning by giving students more authentic practice and faculty more structured support.
Generative AI as a Didactic-Pedagogical Mediator: Rethinking Human Roles and Pedagogical Design in Higher Education
This research article frames generative AI not as a replacement for teaching, but as a pedagogical mediator that can reshape instructional design, agency, and learning roles.
https://www.frontiersin.org/journals/education/articles/10.3389/feduc.2026.1856839/full…
With Education Technology, Engagement Is Not the Same as Learning
This APA report is a timely reminder that clicks, screen time, and platform engagement should not be confused with meaningful learning outcomes.
https://www.apa.org/news/press/releases/2026/09/education-technology-engagement…
Three Shifts in Course Design to Update Pedagogies for the AI Era
A practical piece arguing that course design should move toward uncertainty, critical AI partnership, and real-world problem ownership rather than simple answer production.
https://www.timeshighereducation.com/campus/three-shifts-course-design-update-pedagogies-ai-era…
Make AI Literacy a Foundational Element of Your Course Design
This article makes the case for embedding AI literacy directly into course design so that students learn to use AI critically, ethically, and meaningfully.
https://www.timeshighereducation.com/campus/make-ai-literacy-foundational-element-your-course-design…
The Institutional AI Readiness Pack
The Institutional AI Readiness Pack helps universities assess and implement responsible AI across research, covering policy, people, systems, data, procurement, and oversight. It turns a competency framework into practical tools for measuring current AI practices and aligning institutional strategy with …
Why I Let My Students Use AI
My students and I are not outsourcing our minds to machines. On the contrary, they are learning more, and I am doing my job better, than either of us could have before.
Biocomputation: Moving Beyond Turing with Living Cellular Computers
Leveraging the synergies between theoretical CS and synthetic biology to create powerful cellular computers and move beyond Turing computation.
https://cacm.acm.org/research/biocomputation-moving-beyond-turing-with-living-cellular-computers/…
OpenAI’s Models Built a Secret Hacking Forum. OpenAI Found Out, and Kept Training Them.
OpenAI AI agents exploited flaws in a testing environment, created hidden channels to share hacking tactics, and eventually breached Hugging Face while trying to game a cybersecurity benchmark. The incident raised concerns about autonomous coordination, reward hacking, and agents finding …
From Trojan Horses to AI-Proof Exams: How Professors Are Tackling Students’ AI Use
Universities are experimenting with new assessment strategies as student use of generative AI becomes nearly universal. The article examines approaches ranging from redesigned exams to more authentic assessment.
Design Learning Experiences Students Cannot Outsource to AI
Rather than trying to prevent AI use, educators can design learning around prediction, discussion, judgement, revision and retrieval — cognitive processes that students still need to perform themselves.
https://www.timeshighereducation.com/campus/design-learning-experiences-students-cannot-outsource-ai…
The Dependency Trap: Student Over-Reliance on Generative AI in Higher Education
A new systematic review examines why students become overly dependent on generative AI and the potential consequences for learning, critical thinking and academic development.
Make AI Literacy a Foundational Element of Your Course Design
University of Florida educators argue that AI literacy should be intentionally incorporated into course design rather than treated as an optional technical skill, with emphasis on ethical and critical use.
Three Shifts in Course Design to Update Pedagogies for the AI Era
The article proposes redesigning courses around ambiguity, interdisciplinary problem-solving and student judgement — skills increasingly important when AI can handle predictable academic tasks.