Stanford researchers showcase practical examples of AI in education, including teacher feedback systems, student-created AI learning activities and approaches to developing information literacy.
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.
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.
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.
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…
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.
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 …
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/…
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.
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 …
4 AI learning tools I’d use if I went back to college today
The article highlights AI tools that can make college study more efficient—helping students summarize readings, understand difficult concepts, create study materials, organize research, and improve writing. Its main message is to use AI as a learning assistant rather than a …
AI Can Solve Almost Any Homework Assignment Tonight. Here Is How MIT Is Responding.
MIT says AI can now credibly complete nearly all undergraduate assignments, challenging traditional take-home assessment. It recommends oral exams, portfolios, and broader assessment redesign instead of relying on increasingly ineffective AI-detection tools.
Spotlight on the 1st Day of Class
The first class is more than reviewing the course plan, it sets the tone for the entire semester by building connection, trust, and curiosity. There is no single formula for Day 1, but thoughtful choices can strongly influence students’ engagement …
University of Tampa requiring students to take new generative AI class, starting this fall
The University of Tampa replaced its basic coding course with a required online course on generative AI and emerging technologies. Students will learn to evaluate AI outputs critically and use AI ethically and responsibly in academic work.
https://www.aol.com/articles/university-tampa-requiring-students-generative-205609000.html…
AI and Education – MIT
An MIT committee report proposes principles and recommendations for adapting education to AI while preserving human connection and institutional community.
It emphasizes experiential learning, laboratory spaces, residential education, social ties, and stronger review processes, approaches valuable well beyond MIT.