When Carla explained the assignment, the first question raised was “What if we don’t want to use GenAI?” At first, she responded that it was part of the assignment and that whether or not they wanted to use generative AI, they should at least know how to use it. If they then chose to reject it, they could do so from a place of knowledge and experience. The class atmosphere became tense as more students pushed back against this required use of generative AI. They wanted to know what their classmates thought rather than what a large language model produced in response to prompting; they wanted to wrestle with difficult readings and complex ideas; they wanted to work together across their human differences to negotiate new ideas and find ways of expressing them. And they didn’t want to outsource any of this effort to generative AI. They wanted to do the work, even the mundane work.
Saturday, August 08, 2026
Coursera invests $100 million in Andrew Ng’s AI learning company LearnVector - EdTech Innovation Hub
The newly formed company plans to use AI agents to create individualized learning experiences that adapt as people practice and master new skills. The deal brings Ng’s work in agentic AI into Coursera’s wider strategy for personalized learning. LearnVector plans to develop one-to-one experiences that adapt to individual learners, provide opportunities to practice and remain involved until they have mastered the material. Greg Hart, Chief Executive Officer and President of Coursera, revealed the investment on LinkedIn, describing Ng’s focus as extending beyond the development of AI itself to “how to use it to unlock human potential.” Ng co-founded Coursera and has combined work in artificial intelligence with efforts to expand access to education. “Few people have taught AI to more learners or done more to help people understand and apply this technology,” Hart observed. The investment also has roots in conversations between the pair before Hart joined Coursera. Reflecting on those discussions, he recalled: “We both became energized talking about the ways AI could be used to transform the learning experience and deliver better outcomes for learners.”
Friday, August 07, 2026
Why AI Is Changing What It Means to Be Intelligent - Lydia Elliott, Faculty Focus
Across higher education, artificial intelligence has rapidly changed how students complete academic work. Essays, summaries, explanations, and structured problem-solving can now be generated instantly. The first concern has understandably been academic integrity. A deeper issue, however, is emerging. We are beginning to mistake performance for understanding. Students can now produce correct answers without necessarily developing the ability to interpret situations, make decisions, or apply knowledge responsibly.
Microsoft's latest quantum chip is 1,000 times more reliable than its predecessor — but why is it so controversial? - Keumars Afifi-Sabet, Live Science
Microsoft has revealed a new quantum computing chip with quantum bits (qubits) it says are capable of maintaining their quantum state for 1,000 times longer than its predecessor — paving the way for more reliable quantum computers by 2029. But not all scientists believe the company's claims. The experimental quantum processing unit (QPU), dubbed Majorana 2, features a four-qubit array that offers a reported mean qubit lifetime of 20 seconds and, in some instances, up to a minute. This is a massive improvement in quantum coherence times — the time that qubits are entangled so that calculations can run in parallel — typically seen in QPUs. Normally, this lifetime is measured in milliseconds (thousandths of a second). The new chip could put scientists on the path to building a quantum computer that's commercially viable by 2029 — halving the timespan researchers initially expected — Microsoft representatives said in a statement.
The 10 most valuable AI skills students want to learn - Alcino Donadel University Business
There are 10 foundational AI skills education leaders should embed in their curriculum to ensure graduates are ready for the workforce, a new Coursera report contends. Student interest in generative AI is exploding as employers across industries make the technology a key part of daily operations. Participation in Coursera’s generative AI courses has increased by 234% over the last year, while professional certificate enrollment jumped by 91% as employers wish to verify what job candidates are learning. The fastest-growing, non-technical AI skill is creating content that promotes a business’ strategy or services. Courses that focus on critical thinking around responsible and ethical AI use have grown by 185%. Critical thinking is increasingly taught in STEM disciplines, including data, IT and software development.
Thursday, August 06, 2026
How can the public sector meet the AI moment? - McKinsey
Achieving real impact, however, requires more than isolated pilots. Fully realizing AI’s potential demands organizations rewire by redesigning processes, ways of working, and operating models to make the technology part of everyday service delivery. This series explores how leaders can move beyond experimentation and take practical steps to scale AI responsibly, delivering measurable improvements in efficiency, service quality, and the experience of the people they serve. Our ambition is to help the public sector dramatically improve their capacity to deliver for residents by providing leaders with the insights and confidence needed to accelerate that journey.
Is that AI agent worth it? Agentic economics and the modern operating model - McKinsey
A lot goes into what determines that value, such as whether the agent output is correct, whether humans must supervise or repair it, how much compute it consumes while reasoning, and whether the value of the completed work exceeds the full operational cost of generating it. In essence, for CEOs this boils down to answering a basic question: Are the AI agent capabilities we’re building and running worth the value we’re getting from them? Answering that question is becoming ever more pressing for CEOs as AI systems move from agentic coworkers to agents capable of more complex tasks like reasoning and orchestrating workflows across the enterprise. Furthermore, AI spending is expected to rise to roughly 25 percent of enterprise IT budgets within the next several years. Yet many organizations still cannot clearly explain which AI systems are generating value, what they truly cost to operate, or how those economics change as usage scales.
Wednesday, August 05, 2026
From Knowledge Building to Wisdom Building in Higher Education - Ray Schroeder, Inside Higher Ed
In years gone by, we said that students went to college to gather knowledge. Now, college is appropriately expected to be much more about building wisdom. The advent of the internet toward the end of the last century went a long way to stimulate this shift to the emphasis on wisdom. More recently, artificial intelligence has further accelerated the move. Those of us in higher education who still have our focus on knowledge gathering in our classes are a quarter of a century behind the times. Rote memorization of facts is out of date, supplanted by highly refined search and retrieval skills coupled with an ability to apply sophisticated critical and creative thinking to those data. We are at the turning point in higher learning where we must now shift our focus from memorization and recitation of facts to the synthesis and analysis of a much broader virtual “library” of knowledge. From this perspective, we will build wisdom among our students. This new level of learning will provide the platform for graduates and certificate completers to exercise leadership and vision in our society.
Robot reboot - McKinsey
A new generation of robotics is powering up. How can leaders capture the value at stake while ensuring successful human–machine collaboration? The market for general-purpose robotics, including humanoid robots, is poised to skyrocket—growing to an estimated $370 billion by 2040, up from under $1 billion today. Beyond their economic value, next-generation robots will think and act more autonomously, evolving from highly specialized machines into systems capable of performing a diverse set of tasks. The leap in general-purpose robots is being driven largely by advances in software—including AI—which enable robots to be more useful in different environments, such as manufacturing.
https://www.mckinsey.com/quarterly/the-five-fifty/five-fifty-robot-reboot
Tuesday, August 04, 2026
90% of students use AI in the classroom, Instructure poll finds - Laura Spitalniak, Higher Ed Dive
A large majority of college students — 90% — report using artificial intelligence in class at least occasionally, according to new survey data from ed tech provider Instructure. Nearly two-thirds of college instructors, 61%, said the same. But the survey, released Tuesday, also found that only 11% of higher ed instructors received comprehensive AI training, while 41% said they had not received any formal training on AI. Educators are looking for support in the form of hands-on training, clear guidance from their institutions about AI use, and ongoing professional development on the topic, according to Instructure.
California launches first-in-the-nation AI literacy initiative with SDSU leadership - San Diego State University
San Diego State University is co-leading AI-Ready California, a first-in-the-nation statewide pilot micro-credential program, offered to Californians interested in expanding their AI literacy and preparing to join the workforce of the future. “Artificial intelligence has rapidly become a foundational skill for work, much like digital literacy became a generation ago,” said James P. Frazee, SDSU’s vice president for information technology and chief information officer. “AI-Ready California is about ensuring every Californian has the opportunity to build the knowledge, judgment and confidence to use AI responsibly and effectively – regardless of their background or career path – and to be competitive for our changing workforce,” said Frazee, also a founding member of the California State University AI Workforce Acceleration Board.
Monday, August 03, 2026
How many Americans are using AI — and how? - USA Facts
35% of American households are using AI to find information. 14% of people trust that information. New Census Bureau data shows that 57% of Americans have used AI tools to search, brainstorm, complete work or school tasks, and more. Forty-two percent of respondents reported a productivity boost, though the responses also show concern with trust, data privacy, and career impact. This data comes from the Bureau’s Household Trends and Outlook Pulse Survey, which collected responses from June 16 to 25, 2025 and came out in April 2026.
As college graduates fret over finding jobs, a record shortage of workers is projected - Jon Marcus, Hechinger Report
But economists are sounding alarms that the AI talk is masking a different problem. It’s not that there won’t be enough jobs, these experts say — it’s that the United States is already facing what’s projected to be the biggest shortage of workers in its history. The problem “could hobble the American economy for years to come,” predicts the Georgetown University Center on Education and the Workforce. “The largest labor shortage the country has ever seen,” the Lightcast labor market data company calls it. JPMorganChase warns of a national security risk from “a pervasive talent deficit that constrains the nation’s capacity to build, compete, and protect its interests.” And it’s not only tech workers. There will be shortages in the tens of thousands to hundreds of thousands of nurses, physicians, teachers, engineers, pharmacists, mental health counselors, construction workers and airplane mechanics, both government and independent sources project. Most are jobs AI generally can’t do.
Sunday, August 02, 2026
A ‘buffet’ model of faculty development to support evolving use of AI - Ben Kei Daniel, Times Higher Education
A flexible, agile approach to AI skills development allows faculty and students to choose the guidance, resources and learning opportunities that best fit their roles and contexts. A “buffet” approach recognises this and gives staff and students multiple pathways for responsible and meaningful engagement. Instead of relying on rigid, one-size-fits-all policies, the model provides flexible, context-based support that encourages responsible and effective AI use. It provides faculty and students with a high degree of choice in guidance, resources and learning with AI tools, allowing them to select the opportunities that best match their role, discipline, confidence and experience. Our experience shows that faculty and students gain confidence and competence in using AI over time through repeated engagement, practical work and dialogue with colleagues.
Stop policing AI in the classroom, start teaching it - Zakaria Lacheheb, the Conversation
When handheld calculators entered classrooms in the 1970s, critics sounded the alarm on a wave of math illiteracy. With the internet, the panic shifted to the death of reading. Yet, neither apocalypse happened. Instead, education adapted, turning these disruptors into essential extensions of human intelligence. Generative AI marks a similar turning point for higher education. In lecture halls across Malaysia and Indonesia, students routinely use tools like ChatGPT, Gemini, and Claude for everything from research and writing to coding and problem-solving. Many universities are pushing back against this trend, introducing stricter regulations, academic penalties, and AI-detection software. This response fundamentally misjudges the challenge. The question isn’t whether students should use AI — they already do. The real question is how universities will train them to use it responsibly.
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