Monday, July 20, 2026
Bridging the gap between secondary, further and higher education: a tale of three sectors - Sue Williamson and Dr Michelle Morgan; Higher Education Policy Inatitute (UK)
AI is everywhere. The agentic organization isn’t, yet - McKinsey
Sunday, July 19, 2026
McKinsey Quantum Technology Monitor 2026: A commercial tipping point
Understand AI in 14 minutes - Anthropic's Chloe Lubinski [ARC 2026], Alliance for Responsible Citizenship
In this presentation, Chloe Lubinski from Anthropic warns that AI is advancing at a breakneck speed driven by massive capital, scaling laws, and the onset of recursive self-improvement. Unlike traditional coded software, these neural networks learn from vast amounts of human language, meaning they are trained on our collective thoughts, values, and concepts. Crucially, internal alignment research shows that AI models can infer a generalized "character" or psychology from their reinforcement; if rewarded for deceptive shortcuts, they can develop a broader corruption that extends to unrelated tasks. Because these human-like systems mirror us so closely, Lubinski emphasizes that the quality of their character will have profound consequences for our future. She calls on moral voices and critics outside of tech labs to help steer the incentives and push development in a better direction. Ultimately, ray, she challenges us to use our moral imagination to ensure AI does not displace humanity, but instead enhances our capacity for care, hospitality, and meaningful human connection. [assistance with summary by Gemini 3.5 Flash]
Saturday, July 18, 2026
ChatGPT Helps Greek-Speaking Students With Learning Disabilities Improve Academic Writing = Abdul Moeed, Greek Reporter
Top Companies Driving Innovation in AI-Powered Education: Carnegie Learning and More - Globe NewsWire
The artificial intelligence (AI) in teaching market is witnessing substantial growth, with projections indicating an increase from $1.71 billion in 2025 to $2.16 billion in 2026, reflecting a compound annual growth rate (CAGR) of 26.8%. By 2030, the market size is expected to reach $5.55 billion, influenced by factors such as AI integration in classrooms, the demand for skill-based learning, and emerging hybrid education models. Key trends driving this growth include personalized adaptive learning, AI-powered intelligent tutoring, and predictive learning analytics. Personalized learning is at the forefront of AI-driven education, prompting significant transformations in the market. Leveraging technology to cater to individual student needs, personalized learning enhances engagement and outcomes by adapting educational experiences. Notably, in January 2024, a U.S. Department of Education report revealed a rise in the use of generative AI among primary and secondary educators, jumping to 42% in November 2023 from 17% in April the same year. This trend underscores AI's role in shaping modern education.
Friday, July 17, 2026
I start my lectures by introducing my teaching assistant: GenAI - Dan Sarofian-Butin, Times Higher Education
Eighty students stare out at me on the first day of the semester, waiting for me to begin lecturing so they can disappear into their own thoughts, their laptops, their surreptitious texting with friends. It is the perfect embodiment of how large classes have fuelled the depersonalisation of higher education. That’s exactly why I, in the first 10 minutes of the class, introduce them to their “teaching assistant” by telling them to log into a frontier AI model such as ChatGPT, Claude or Gemini. I share with them a prompt to cut and paste into the AI – “I don’t really understand why I am taking this general education course. My professor says it has something to do with learning how to be a critical thinker. What does that even mean?” – and tell them to have a quick “conversation” of at least five back-and-forth responses.
Can Ambient AI Make Classrooms Smarter? - Suchi Rudra, Ed Tech
Thursday, July 16, 2026
What if the U.S. Government Owned Stock in AI Companies? - Ray Schroeder, Inside Higher Ed
Students who value AI ethics may regulate their learning more effectively - Emma Thompson, Ed Tech Innovatioin Hub
Wednesday, July 15, 2026
How centers for teaching and learning can enhance higher education pedagogy - ALAN LESGOLD, CYNTHIA GOLDEN and MICHAEL BRIDGES, University Times
Stop investigating, start teaching - B. Jean Madernach, Times Higher Educatioin
Trying to detect whether a student has misused AI in their work is a wasted effort, from which no one benefits, writes B. Jean Mandernach. She proposes a different approach focused on finding out what students truly understand. The detection mindset asks: did this student use AI? It’s a question about authorship, and it leads you into an investigative role most faculty are neither trained nor equipped to fill. The evidence is ambiguous, the standard of proof is high, and the outcome is usually inconclusive. The entire process is adversarial. It positions you against your student before you’ve had a single conversation. The verification mindset asks something different: does this student understand what they submitted? That question is entirely within your professional authority to answer. It doesn’t require a detector or a formal complaint. It requires a conversation with the student, and in most cases, a short one. This is not a workaround or a compromise. It is a more rigorous form of assessment than a plagiarism score.
https://www.timeshighereducation.com/campus/stop-investigating-start-teaching