Alina Tugend is an award-winning education reporter. Here is her latest rave on an EdTech innovation: Campus libraries are becoming the go-to place for helping students, faculty and researchers learn about artificial intelligence and how to best integrate it into their work. For example, the libraries at Bryn Mawr College and the University of Oklahoma both provide AI “sandboxes” – shared virtual spaces for experimentation and education about various AI tools with ongoing support. This year, the University of Virginia launched its AI Literacy and Action Lab, developed in partnership with the university’s library. The lab is based on a framework created by Leo S. Lo, UVA’s new university librarian and dean of libraries, that integrates technical knowledge, ethical awareness, critical thinking, practical use and societal impact.
Thursday, May 14, 2026
Chico State’s 2026-27 Book in Common to Tackle Artificial Intelligence - Chico State
The AI Con is a thought-provoking work examining the rise of artificial intelligence and its far-reaching impacts on society, education and the economy. The selection comes amid heightened interest and debate surrounding AI technologies, including within higher education. Co-authored by a University of Washington linguistics professor and a former Google employee, the book takes a critical look at artificial intelligence, exploring how it functions, the realities behind its rapid expansion, and the social, ethical and environmental implications of its use. Topics include the influence of AI on jobs and creative industries, concerns about academic integrity, and the environmental costs associated with large-scale data centers. “AI is now part of nearly every aspect of our lives,” Mahlis said. “This book helps readers understand not just what AI does, but how it works, and encourages us to question both the hype and the real consequences.”
https://today.csuchico.edu/chico-states-2026-27-book-in-common-to-tackle-artificial-intelligence/
Wednesday, May 13, 2026
Leadership Vision of the COLO to Shape Higher Ed Future? - Ray Schroeder, Inside Higher Ed
Instructure Pays Ransom to Canvas Hackers - Kathryn Palmer, Inside Higher Ed
Tuesday, May 12, 2026
Global infrastructure’s inflection poin - Alistair Green, ReThink McKinsey
AI Outperforms ER Doctors in Diagnostic Cases, Study Points to Collaborative Care - Macy Meyer, CNN
Monday, May 11, 2026
Staying Ahead with AI: My Experience Completing a Micro Credential - Blog Donegal ETB
Making mergers work: A playbook for public sector consolidations - McKinsey
Government consolidations are far less common than private sector ones. However, when government M&A occurs, five principles can guide the process and facilitate smooth transitions. Private sector M&A is widely reported on, and while they have a mixed track record, they often demonstrate how large, independent organizations can come together to create value. However, government M&A occurs far less frequently. Although the public sector differs in important ways—such as lacking a profit motive, operating under distinct governance structures, and moving through slower decision cycles—core change-management principles still apply. This article explores five principles, in particular, that can help ensure public sector M&A is successful.
Sunday, May 10, 2026
UW System Will Give Raises to Faculty in High-Demand Fields - Inside Higher Ed
The University of Wisconsin system will give more than 2,300 faculty in high-demand fields a pay raise this summer, The Cap Times reported. The State Legislature appropriated $27 million annually for the increases, which will be doled out with the “goal of focusing on market competitiveness of those faculty in high demand fields of study,” which include biomedical sciences, education, graphic design and veterinary medicine, the distribution plan states. To determine which fields are included, the system used Department of Workforce Development data on high-demand jobs that require a bachelor’s degree. Nearly 16 percent fewer adults started college for the first time this fall compared to the previous year.
What’s Behind a Drop in New Adult Learners This Fall? - Inside Higher Ed
Nearly 16 percent fewer adults started college for the first time this fall compared to the previous year. Some say the change represents rightsizing after an enrollment boom, but others say it’s a reversal worth keeping an eye on. In the economic upheaval that followed the COVID-19 pandemic, adult students flocked to higher education in droves. Every fall from 2021 to 2024, the number of first-time students over the age of 25 grew—including a substantial jump in fall 2024, when new students older than 25 grew 18.7 percent over the previous year, according to National Student Clearinghouse Research Center data. But this past fall, that trend reversed. The number of first-time learners over the age of 25 dropped by 15.5 percent from fall 2024 to fall 2025.
Saturday, May 09, 2026
AI Is Now Improving Itself - There's an AI for That
Personalized Learning and AI: Revolutionizing Education in the Modern Era - Sanjay Kulkarni, Jaro Education
Friday, May 08, 2026
AI Agents in Education: What’s Working and What’s Missing - Abby Sourwine, GovTech
Teach students to ask better questions with Artificial Intelligence - Yiming V. Wang & Christoph Heubeck, Nature
Generative Artificial Intelligence (AI) has entered university classrooms at a remarkable speed, challenging not only how students learn but also how teachers can tell where thinking is happening1,2,3. AI use shows more than rapid adaptation to a new tool: it also exposes how academic training has long shaped the questions students ask. Conventionally, many questions are framed to elicit coherence rather than conflict, synthesis rather than uncertainty, for example: “Summarise the state of knowledge …”, “Explain the mechanisms of…”. Put to an AI system, the responses often smooth disagreement and blur the limits of evidence4,5. The challenge in AI use is therefore not how far students should rely on AI but whether universities can help them ask questions that expose uncertainty rather than conceal it. We call this approach “grounded inquiry”, which we define as using AI to expose disagreements and weak support, trace claims to evidence, and make uncertainty apparent within a curated set of primary literature sources. We find that this approach helps Earth science students to think more independently and critically.