Centering work-based learning on the 4 As—authenticity, aspiration, ability, agency — from explore.gpsed.org

In the rush to expand work-based learning (WBL), it is easy to focus on the “placement”—the logistics of getting a student into a workplace. But a placement alone isn’t a strategy. If an experience doesn’t help a student build the internal capacity to navigate their own future, we are simply checking a box.

At GPS Ed, we believe WBL is most powerful when viewed as a sequenced journey of career literacy. It starts with early awareness and exploration, giving students the chance to “try on” different roles, and scales up to intensive, hands-on experiences. By centering this journey on the 4 As—authenticity, aspiration, ability, agency—we ensure that the time invested by students, schools, and employers yields a lifelong return.


Also see:


 

 

Make Gatherings More Engaging — from wondertools.substack.com by Jeremy Caplan
Tested tools for quizzes, online discussions, & shareable docs

The hardest part of teaching — or leading meetings — is sparking engagement. Getting people to engage enthusiastically with something new can be tough. It’s especially challenging if people are overwhelmed, super busy, or just tired.

As we aim to stretch people’s thinking in a new direction, tools are just one part of the overall picture. But they can help. Last week I shared five tools for creating learning paths, interactive lessons, and new kinds of digital notebooks. Today’s follow-up recommendations focus on creative engagement.

You don’t have to be a teacher to find these resources for opening up participation useful. If you lead a team, run meetings, or collaborate with colleagues, you can benefit from these tools.

I’ve baked into this post multiple ways to engage.

 

[Re: Super Bowl ads]
DSC: This is one of the best ads I’ve seen in a long time. Highly relevant to the U.S. right now.

 

Top Teaching Tools for 2026 — from wondertools.substack.com by Jeremy Caplan
Tested apps to save you time and engage your students

  • Pathwright — Design a learning path
  • Figjam — Spark visual thinking with collaborative whiteboards
  • NotebookLM — Organize and build on your teaching materials
  • …and more

Top Teaching Tools for 2026 ? by Jeremy Caplan

Tested apps to save you time and engage your students

Read on Substack

 

From Rooms to Ecosystems: When Connection Becomes the Catalyst

Some gatherings change not just in size, but in meaning. What started as a small, intentional space to celebrate partners has grown into a moment that reflects how an entire ecosystem has matured. Each year, the room fills with more leaders, more relationships, and more shared language about what learning can look like when people are genuinely connected. It is less about an event on the calendar and more about what it represents: an education community that knows each other, trusts each other, and keeps showing up.

That kind of connection did not happen by accident. Through efforts like Get on the Bus, hosted by the Ewing Marion Kauffman Foundation, networking for education leaders has shifted from transactional to relational. Students lead. Stories anchor the work. Conversations happen across tables, sectors, and roles. System leaders, intermediaries, industry partners, and civic organizations are not passing business cards. They are building shared understanding and social capital that lasts long after the room clears.

This week’s newsletter carries that same energy. You will find examples of learning that travels beyond buildings, leadership conversations grounded in real tensions, and models that reflect what becomes possible when ecosystems are aligned. When people feel connected to one another and to a common purpose, the work gets clearer, stronger, and more human. That sense of belonging is not just powerful. It is foundational to what comes next.


Town Hall Recap: What’s Next in Learning 2026 — from gettingsmart.com by Tom Vander Ark, Nate McClennen, Shawnee Caruthers, Victoria Andrews

As we enter 2026, the Getting Smart team is diving deep into the convergence of human potential and technological opportunity. Our annual Town Hall isn’t just a forecast—it’s a roadmap for the year ahead. We will explore how human-centered AI is reshaping pedagogy, the power of participation, and the new realities of educational leadership. Join us as we define the new dispositions for future-ready educators and discover how to build meaningful, personalized pathways for every student.

 

Nvidia, Eli Lilly announce $1 billion investment in AI drug discovery lab — from finance.yahoo.com by Laura Bratton

AI chipmaker Nvidia (NVDA) and pharmaceutical giant Eli Lilly (LLY) on Monday announced that the two companies would jointly invest $1 billion to create a lab in San Francisco focused on using AI to accelerate drug discovery.

The $1 billion investment will be spent over five years on infrastructure, compute, and talent for the lab. Nvidia’s engineers will work alongside Lilly’s experts in biology, science, and medicine to generate large-scale data and build AI models to advance medicine development. The lab’s work will begin early this year, the companies said.

 

Community colleges are training the next generation of manufacturing workers — from manufacturingdive.com by Michelle No
Rutgers University explored how community colleges are responding to regional workforce training demands. Clark State College and Columbus State Community College are among those leading the way.

One underrated option may hold the most promise for workforce growth: the local community college.

That’s according to a series of reports by The Rutgers Education and Employment Research Center released in October, which examines the “hidden innovative structure” of America’s community colleges.

Community colleges excel in ways conducive to a successful manufacturing career, said Shalin Jyotishi, founder of the Future of Work & Innovation Economy Initiative at think tank New America.

 

At CES 2026, Everything Is AI. What Matters Is How You Use It — from wired.com by Boone Ashworth
Integrated chatbots and built-in machine intelligence are no longer standout features in consumer tech. If companies want to win in the AI era, they’ve got to hone the user experience.

Beyond Wearables
Right now, AI is on your face and arms—smart glasses and smart watches—but this year will see it proliferate further into products like earbuds, headphones, and smart clothing.

Health tech will see an influx of AI features too, as companies aim to use AI to monitor biometric data from wearables like rings and wristbands. Heath sensors will also continue to show up in newer places like toilets, bath mats, and brassieres.

The smart home will continue to be bolstered by machine intelligence, with more products that can listen, see, and understand what’s happening in your living space. Familiar candidates for AI-powered upgrades like smart vacuums and security cameras will be joined by surprising AI bedfellows like refrigerators and garage door openers.


Along these lines, see
live updates from CNET here.


ChatGPT is overrated. Here’s what to use instead. — from washingtonpost.com by Geoffrey A. Fowler
When I want help from AI, ChatGPT is no longer my default first stop.

I can tell you which AI tools are worth using — and which to avoid — because I’ve been running a chatbot fight club.

I conducted dozens of bot challenges based on real things people do with AI, including writing breakup texts and work emailsdecoding legal contracts and scientific researchanswering tricky research questions, and editing photos and making “art.” Human experts including best-selling authors, reference librarians, a renowned scientist and even a Pulitzer Prize-winning photographer judged the results.

After a year of bot battles, one thing stands out: There is no single best AI. The smartest way to use chatbots today is to pick different tools for different jobs — and not assume one bot can do it all.


How Collaborative AI Agents Are Shaping the Future of Autonomous IT — from aijourn.com by Michael Nappi

Some enterprise platforms now support cross-agent communication and integration with ecosystems maintained by companies like Microsoft, NVIDIA, Google, and Oracle. These cross-platform data fabrics break down silos and turn isolated AI pilots into enterprise-wide services. The result is an IT backbone that not only automates but also collaborates for continuous learning, diagnostics, and system optimization in real time.


Nvidia dominated the headlines in 2025 — these were its 15 biggest events of the year — from finance.yahoo.com by Daniel Howley

It’s difficult to think of any single company that had a bigger impact on Wall Street and the AI trade in 2025 than Nvidia (NVDA).

Nvidia’s revenue soared in 2025, bringing in $187.1 billion, and its market capitalization continued to climb, briefly eclipsing the $5 trillion mark before settling back in the $4 trillion range.

There were plenty of major highs and deep lows throughout the year, but these 15 were among the biggest moments of Nvidia’s 2025.


 

 

AI working competency is now a graduation requirement at Purdue [Pacton] + other items re: AI in our learning ecosystems


AI Has Landed in Education: Now What? — from learningfuturesdigest.substack.com by Dr. Philippa Hardman

Here’s what’s shaped the AI-education landscape in the last month:

  • The AI Speed Trap is [still] here: AI adoption in L&D is basically won (87%)—but it’s being used to ship faster, not learn better (84% prioritising speed), scaling “more of the same” at pace.
  • AI tutors risk a “pedagogy of passivity”: emerging evidence suggests tutoring bots can reduce cognitive friction and pull learners down the ICAP spectrum—away from interactive/constructive learning toward efficient consumption.
  • Singapore + India are building what the West lacks: they’re treating AI as national learning infrastructure—for resilience (Singapore) and access + language inclusion (India)—while Western systems remain fragmented and reactive.
  • Agentic AI is the next pivot: early signs show a shift from AI as a content engine to AI as a learning partner—with UConn using agents to remove barriers so learners can participate more fully in shared learning.
  • Moodle’s AI stance sends two big signals: the traditional learning ecosystem in fragmenting, and the concept of “user sovereignty” over by AI is emerging.

Four strategies for implementing custom AIs that help students learn, not outsource — from educational-innovation.sydney.edu.au by Kria Coleman, Matthew Clemson, Laura Crocco and Samantha Clarke; via Derek Bruff

For Cogniti to be taken seriously, it needs to be woven into the structure of your unit and its delivery, both in class and on Canvas, rather than left on the side. This article shares practical strategies for implementing Cogniti in your teaching so that students:

  • understand the context and purpose of the agent,
  • know how to interact with it effectively,
  • perceive its value as a learning tool over any other available AI chatbots, and
  • engage in reflection and feedback.

In this post, we discuss how to introduce and integrate Cogniti agents into the learning environment so students understand their context, interact effectively, and see their value as customised learning companions.

In this post, we share four strategies to help introduce and integrate Cogniti in your teaching so that students understand their context, interact effectively, and see their value as customised learning companions.


Collection: Teaching with Custom AI Chatbots — from teaching.virginia.edu; via Derek Bruff
The default behaviors of popular AI chatbots don’t always align with our teaching goals. This collection explores approaches to designing AI chatbots for particular pedagogical purposes.

Example/excerpt:



 

Agents, robots, and us: Skill partnerships in the age of AI — from mckinsey.com by Lareina Yee, Anu Madgavkar, Sven Smit, Alexis Krivkovich, Michael Chui, María Jesús Ramírez, and Diego Castresana
AI is expanding the productivity frontier. Realizing its benefits requires new skills and rethinking how people work together with intelligent machines.

At a glance

  • Work in the future will be a partnership between people, agents, and robots—all powered by AI. …
  • Most human skills will endure, though they will be applied differently. …
  • Our new Skill Change Index shows which skills will be most and least exposed to automation in the next five years….
  • Demand for AI fluency—the ability to use and manage AI tools—has grown sevenfold in two years…
  • By 2030, about $2.9 trillion of economic value could be unlocked in the United States…

Also related/see:



State of AI: December 2025 newsletter — from nathanbenaich.substack.com by Nathan Benaich
What you’ve got to know in AI from the last 4 weeks.

Welcome to the latest issue of the State of AI, an editorialized newsletter that covers the key developments in AI policy, research, industry, and start-ups over the last month.


 

Simon Laveuve’s Scaled-Down Tableaux Reveal Post-Apocalyptic Lifestyles — from thisiscolossal.com by Simon Laveuve and Kate Mothes


Bringing High School Students and Kindergartners Together to Make Art — from edutopia.org by Cory Desmond
A look at how teachers can have students collaborate across grades on an art project that promotes creativity and teamwork.

What happens when high school students and kindergartners collaborate? Art. Innovation. Growth. And so much more.

Inspired by illustrator Mica Angela Hendricks’s collaborations with her 4-year-old daughter—in which Hendricks would begin by drawing a portrait and then have her daughter add to it—I formalized the concept into an inter-grade art lesson. It’s a replicable, three-stage project based on vertical collaboration. This model bridges the creative and social gap between students, weaving together technical skill and imagination through methods based in social and emotional learning (SEL).

It operates by passing a structured project back and forth, compelling older students to engage with empathy, relationship maintenance, and responsible decision-making. Simultaneously, it empowers younger students, giving them significant creative autonomy through their own responsible choices. By breaking down the separation between age groups, cross-grade collaborations cultivate essential skills in ways that isolated classrooms typically can’t.

In this article, I’ll provide a flexible framework for vertical collaboration—a blueprint that teachers can adapt for their own cross-grade collaborations.

 

Could Your Next Side Hustle Be Training AI? — from builtin.com by Jeff Rumage
As automation continues to reshape the labor market, some white-collar professionals are cashing in by teaching AI models to do their jobs.

Summary: Artificial intelligence may be replacing jobs, but it’s also creating some new ones. Professionals in fields like medicine, law and engineering can earn big money training AI models, teaching them human skills and expertise that may one day make those same jobs obsolete.


DEEP DIVE: The AI user interface of the future = Voice — from theneurondaily.com by Grant Harvey
PLUS: Gemini 3.0 and Microsoft’s new voice features

Here’s the thing: voice is finally good enough to replace typing now. And I mean actually good enough, not “Siri, play Despacito” good enough.

To Paraphrase Andrej Karpathy’s famous quote, “the hottest new programming language is English”, in this case, the hottest new user interface is talking.

The Great Convergence: Why Voice Is Having Its Moment
Three massive shifts just collided to make voice interfaces inevitable.

    1. First, speech recognition stopped being terrible. …
    2. Second, our devices got ears everywhere. …
    3. Third, and most importantly: LLMs made voice assistants smart enough to be worth talking to. …

Introducing group chats in ChatGPT — from openai.com
Collaborate with others, and ChatGPT, in the same conversation.

Update on November 20, 2025: Early feedback from the pilot has been positive, so we’re expanding group chats to all logged-in users on ChatGPT Free, Go, Plus and Pro plans globally over the coming days. We will continue refining the experience as more people start using it.

Today, we’re beginning to pilot a new experience in a few regions that makes it easy for people to collaborate with each other—and with ChatGPT—in the same conversation. With group chats, you can bring friends, family, or coworkers into a shared space to plan, make decisions, or work through ideas together.

Whether you’re organizing a group dinner or drafting an outline with coworkers, ChatGPT can help. Group chats are separate from your private conversations, and your personal ChatGPT memory is never shared with anyone in the chat.




 

New Study: Business As Usual Could Doom Dozens Of New England Colleges — from forbes.com by Michael B. Horn

The cause of the challenges isn’t one single factor, but a series of pressures from demographic changes, shifts in the public’s perception of higher education’s value, rising operating costs, emerging alternatives to traditional colleges, and, of late, changes in federal policies and programs. The net effect is that many institutions are much closer to the brink of closure than ever before.

What’s daunting is that flat enrollment is almost certainly an overly optimistic scenario.

If enrollment at the 44 schools falls by 15 percent over the next four years and business proceeds as usual, then 28 of the schools will have less than 10 years of cash and unrestricted quasi-endowments before they would become insolvent—assuming no major cuts, additional philanthropy, new debt, or asset sales. Fourteen would have less than five years before insolvency.

Also see:

From DSC:
The cultures at many institutions of traditional higher education will make some of the necessary changes and strategies (that Michael and Steven discuss) very hard to make. For example, to merge with another institution or institutions. Such a strategy could be very challenging to implement, even as alternatives continue to emerge.

 

How Coworking Spaces Are Becoming The Learning Ecosystems Of The Future — from hrfuture.net

What if your workspace helped you level up your career? Coworking spaces are becoming learning hubs where skills grow, ideas connect, and real-world education fits seamlessly into the workday.

Continuous learning has become a cornerstone of professional longevity, and flexible workspaces already encourage it through workshops, talks, and mentoring. Their true potential, however, may lie in becoming centers of industry-focused education that help professionals stay adaptable in a rapidly changing world of work.
.


.

What if forward-thinking workspaces and coworking centers became hubs of lifelong learning, integrating job-relevant training with accessible, real-world education?

For coworking operators, this raises important questions: Which types of learning thrive best in these environments, and how much do the design and layout of a space influence how people learn?

By exploring these questions and combining innovative programs with cutting-edge technology aligned to the future workforce, could coworking spaces ultimately become the classrooms of tomorrow?

 
© 2025 | Daniel Christian