An excellent issue!
In this week’s features, find an excellent piece by Zaretta Hammond in Cult of Pedagogy on tactical moves to help students build meta-learning skills. Looking to help your students become more self-aware learners? This is a good place to look. Also in the features, see the post from Grading for Growth that explores four pillars for alternative grading. Looking to rethink your assessment practice? Consider starting there.
So many other great posts: leadership, language, learning science… and those are just the L’s!
Among them, find an HBR post on how AI can support governing boards (!). It’s actually a fascinating piece that details a study in which human teams were compared against multi-agent AI teams with the same charge. The researchers observed that the AI teams more often followed best practices, surfaced more diverse perspectives, and accomplished the board goals, while the human teams often allowed individuals to dominate the conversation and lost track of time, and were therefore unable to finish what needed to be done. Both groups also self-assessed. My knee-jerk reaction was defensiveness; maybe this discursiveness is what makes us human and is the source of our creative, messy, human spirit. Surely, this is true. And yet, we will surely also benefit from assistants that help us engage more people and help us reach our goals. Balance, as ever, is key. Who knew we’d live in an age when this was even a topic?
Also, I had a wonderful and wide-ranging conversation with Morva McDonald from NAIS’ New View EDU series about AI, teacher collaboration, the innovation imperative for independent schools, and more. Find a recording here or wherever you get your podcasts.
Also this week, a reader is running some research on high school teacher knowledge of ADHD. If you have 15 minutes to share your experience, he would be grateful. The survey is at this link.
These and much more, enjoy!
Peter
PS. More dates are coming together for the spring.
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Browse and search over 15,000 curated articles from past issues online:
“Clearly Defined Standards… Helpful Feedback… Marks Indicate Progress… Reattempts Without Penalty”
“We can teach our hearts out, but in the end, only the learner learns. So, how do we get students to own their learning? That’s the question I’m answering in Rebuilding Students’ Learning Power (Corwin, 2025). Rather than simply talking to students about how their brain learns or trying to motivate them, we want to couple these approaches with specific tools and moves that help them become a good information processor that makes learning sticky. We start by offering them a set of learn-to-learn skills.”
“More than 80% of K-12 teachers thought it was “very” or “extremely” important to teach students about the Constitution’s core values, and 62% found it similarly crucial to teach that America is a fundamentally good country. In both cases, teachers were more likely than parents or the public at large to favor teaching these concepts.”
“As of November 5th, it estimated that U.S.A.I.D.’s dismantling has already caused the deaths of six hundred thousand people, two-thirds of them children. The toll is appalling and will continue to grow.”
“In spite of, and due to, automatic language translation, the goal of foreign language education in CCR’s model is to render students fluent in one to two more languages than their own native one, by starting during early childhood and deep learning. CCR advocates for second language acquisition due to the following benefits:”
“AI chairs reliably drew in every participant, checked for alignment, and gave floor for expressing dissenting views. Human chairs, instead, often let vocal members dominate while others remained on the sideline.”
“Marshall Memory sends automatic, spaced retrieval prompts to commit items like these to long-term memory – while giving you cognitive "strength training.”"
So much continues to happen…!
I trimmed the six features down to the two about AI companions. One is stories of people who found love with AI companions in mid-life. This is happening more often than we think. The other looks more holistically at AI companions at all stages of life, but again through what they tell us about human love. It’s surprising that, already, this is not a niche topic.
And there were still four other posts I wanted to put in features. Find them in other sections: education (AI-supported tutoring is showing measurable gains), ethics and risk (AI now rivals humans in political persuasion), industry development (AI labs are building world models to prepare for embodied AI), and uses and applications (how to assess your workplace for agentic AI). Each of these marks significant advances that will change the texture of our lives. We live in remarkable times.
These and more, enjoy!
Peter

“How do you end up with an A.I. lover? Some turned to them during hard times in their real-world marriages, while others were working through past trauma. Though critics have sounded alarms about dangers like delusional thinking, research from M.I.T. has found that these relationships can be therapeutic, providing “always-available support” and significantly reducing loneliness. We spoke with three people in their 40s and 50s about the wonders — and anxieties — of romance with a chatbot.”
“The global scale and reach of AI companions is astonishing… These numbers tell us three things. One, AI-human romance isn’t niche—it’s mainstream, especially among young adults. Two, globally, gender is nearly balanced—slightly more male than female—or nearly 50-50 across major reports. And three, most users dip in for comfort or curiosity rather than long-term attachment—suggesting that what people seek from AI love may not be “romance,” but reliable empathy. That gap itself may teach us something important about what people really want from AI love.”
“This is a language of metacognition [students] likely do not know. They have no ground truth to draw from because they may never have been asked to observe, let alone describe, their own cognitive process in this way. They can’t tell the AI how to forge their identity because they don’t even know what that identity is. It takes extensive language and cognitive skill to do so, if it’s even clear what’s desired.”
“Look across college campuses and you can find evidence for any point you’d like to make about generative AI. Professors have used it to design courses and are thrilled with the results. Others tried and abandoned it, feeling disappointed or frustrated. Some AI users, like Davis, find the process “weird” but are willing to engage.”
“The AI Innovation Index positions school systems to 1) gauge their AI innovation progress vs national benchmarks and sector-wide averages and 2) identify top-performing peers to learn from. The Index measures school system AI innovation across three pillars.”
“Participants showed more openness to opposing views when the arguments were attributed to AI, perceiving it as more objective. The findings raise concerns about potential misinformation and increased polarization, with researchers urging caution in utilizing AI in political discourse.”
“Spatial Intelligence is the scaffolding upon which our cognition is built. It’s at work when we passively observe or actively seek to create. It drives our reasoning and planning, even on the most abstract topics. And it’s essential to the way we interact—verbally or physically, with our peers or with the environment itself. While most of us aren’t revealing new truths on the level of Eratosthenes most days, we routinely think in the same way—making sense of a complex world by perceiving it through our senses, then leveraging an intuitive understanding of how it works in physical, spatial terms. Unfortunately, today’s AI doesn’t think like this yet.”
“Almost 1 in 10 users said the main reason was for social interaction… OpenAI estimated last month that 0.15 percent of its users each week — more than a million people — show signs of being emotionally reliant on the chatbot.”
“I tried it out on transcribing some handwritten texts and the results were shocking: not only was the transcription very nearly perfect—at expert human levels—but it did a something else unexpected that can only be described as genuine, human-like, expert level reasoning. It is the most amazing thing I have seen an LLM do, and it was unprompted, entirely accidental. What follows are my first impressions of this new model with all the requisite caveats that entails. But if my observations hold true, this will be a big deal when it’s released.”
Every week I send out articles I encounter from around the web. Subject matter ranges from hard knowledge about teaching to research about creativity and cognitive science to stories from other industries that, by analogy, inform what we do as educators. This breadth helps us see our work in new ways.
Readers include teachers, school leaders, university overseers, conference organizers, think tank workers, startup founders, nonprofit leaders, and people who are simply interested in what’s happening in education. They say it helps them keep tabs on what matters most in the conversation surrounding schools, teaching, learning, and more.
– Peter Nilsson