College Is an Expensive Career Exploration Tool. Here’s an Alternative. — from humanistxyz.substack.com by Patrick O’Donnell and Allison Dulin Salisbury
“Young people know that sitting in a classroom for twelve years isn’t going to show them how to find a job, let alone a career they love.”

This interview is part of a series on AI, high school, and the Experience Gap. Our report, Closing the Experience Gap, makes the case for a high-school model in which at least 50 percent of formal learning is experience-based.

College is an expensive career exploration tool. It is also poorly designed for the job.

Patrick O’Donnell tells the story of a student who entered a four-year nursing program certain she wanted to become a nurse. Once enrolled, she discovered that the work was a poor fit. Earlier immersion in healthcare, she told him, would have moved that discovery forward by several years. Now she needed to transfer to a community college and remap her plans.

Her predicament is familiar. We ask teenagers to choose a college and course of study with little direct knowledge of the work on the other side. Many spend their first years of college trying to answer a question high school gave them few opportunities to explore: What kind of work fits me?


From DSC:
College is an expensive career exploration tool. It is also poorly designed for the job.

This assertion resonated with me instantly — and I agree with it 100%. As a bit of background as to why I say this…I thought that I was going to be a doctor all through K-12 and even in my first year at college. But then I got to about halfway through my fall semester in my sophomore year, and I dropped out of pre-med. It was the best decision of my life.

But then what?

I had very little idea of what I wanted to do in the future or what my skills, interests, passions, and abilities were. K-12 and college offered next to nothing in terms of career preparation back in that period of time. It wasn’t until my late 20’s that I even began to get a clue on what’s all out there. What were my choices and what was a good fit for me? What did I enjoy doing and what did I not enjoy doing? 

So I agree completely…college is an expensive career exploration tool/setting. But I’m glad to see more and better options these days within K-12. Colleges could do much better.

 
 

Exceptional Videos of Authors Reading Their Books Aloud for Young Students — from edutopia.org by Kristin Rydholm
These 14 books can help teachers celebrate student writing by weaving literacy and social and emotional learning into the school day.

This classroom scenario is an example of how finishing a piece of writing is a dual celebration—an ending and a beginning. A published piece of writing means crossing a finish line as the culminating event within the writing process, but it is also a starting line, where a story begins a journey of its own—being read, seen, heard, and shared by others.

Who better to assist with modeling these transitional and celebratory moments than 14 professional authors of picture books?

Where to start
Featured below are links to exceptional authors and author/illustrators reading their picture books. Watching these videos, a child can see and hear the diverse faces and voices of authors who have prioritized stories about kids like them.


4 Ways to Encourage Great Questions in the Science Classroom — from edutopia.org by Katie Budrow
Here’s how a middle school teacher guides students to proactively ask and answer questions like ‘why does that happen?’

Narrow, prescribed tasks are known as convergent tasks. Define the parts of a cell has a specific answer. Sometimes, convergent tasks make the most sense. But whenever possible, I prefer to use broader divergent tasks, which allow for multiple ways to approach the learning. Describe the different ways that cell parts can work together to form a system is an example of a divergent task.

Divergent tasks inherently drive more student questions, since the answers aren’t just one-and-done. Divergence promotes “deep thinking, requiring students to analyze and evaluate concepts,” according to a study on the subject. Students are not just trying to find the “best” answer—they’re working toward a more complex concept.


A First-Week Routine That Gets Middle School Students Thinking Like Scientists — from edutopia.org by Bexaida Buzzie
Here’s a day-by-day plan for guiding your students to start the year by asking questions. Just resist the urge to answer them.

I realized I was spending so much of my time going over my classroom rules that I forgot that the students were there to learn how to learn.

Once I took the pressure off myself, everything changed. Instead of focusing on perfection, I started to focus on curiosity and fun. Instead of cramming information and reaping frustration, I slowed down.

Here’s what my first five days look like, and how they build a foundation for scientific thinking.


15 Effective Ways to Manage Dysregulated Students — from edutopia.org by Andrew Boryga
Teachers are seeing more big emotions and disruptive behavior in early elementary classrooms. These practical strategies can help youngsters reflect, reset, and repair.

While many experts cite the pandemic’s role in creating skill deficiencies, it’s only a part of the story. Educators also point to major changes in the culture around child rearing, pointing to issues like rising screen time, less play, and fewer opportunities for face-to-face interaction—“developmental needs that no digital program, however sophisticated, can fully replicate,” writes elementary school teacher Cara Zelas.

Serious behavioral issues and developmental concerns require broad support from administrators, specialists, and families. But for everyday moments that derail lessons—a child melting down, refusing directions, or struggling to rejoin the group—many teachers find that simple practices, consistently applied, can help turn big feelings into moments of growth instead of lost instructional time.

 

Using AI to create the practice opportunities online students need— from timeshighereducation.com by Kathy Miller Perkins
For disciplines that depend on interpersonal skills such as communication, leadership, negotiation and mediation, AI can provide elusive experiential learning, particularly in asynchronous environments

What if AI’s greatest educational value lies not in generating answers but in generating experiences?

The result surprised me. Students did not simply interact with the AI, they meaningfully engaged with it. Many reported that the experience felt valuable precisely because the simulated conversation partner pushed back. Unlike classmates who sometimes hesitate to challenge one another, the AI consistently maintained its position. Students had to work harder, listen more carefully and apply the communication strategies they had spent weeks learning. And, importantly, they practised.

Here’s how to show students what responsible AI use looks like — from timeshighereducation.com by Andrew Firr and Alex Fenton
Well-designed assessments can highlight generative AI’s limitations, where it can provide support and what responsible practice looks like. Andrew Firr and Alex Fenton offer strategies

We have been exploring ways to offer this in our Level 7 module for MSc engineering management students, many of whom come from the Global South. Assessment is built around a practical design problem: students examine how a real campus process operates, where delays occur, evidence they observe and how a feasible redesign might improve the system – in a 3,000-word essay.

They can use AI for planning and providing clarity, but not for generating the evidence on which the analysis rests. Invented observations, measurements, screenshots or unverifiable citations are prohibited. The assessment design reinforces this through a case study, diagram, fact-checking exercise and a short AI use statement.

Requiring an AI use statement encourages students to reflect on their processes. We ask which tool they used, how they used it, how they checked the output and which parts of the work depended on their own evidence and judgement. It reminds them that evidence must be theirs and that citations must be manually verified.


Slow math: Kids may learn more when AI makes them review mistakes — from hechingerreport.org by Jill Barshay and Kristin Fasiang
A randomized experiment involved more than 6,000 Tennessee middle school students learning fractions

In an experiment involving more than 6,000 middle schoolers in Tennessee, students learned slightly more math when an AI tutor walked them through their mistakes and then required them to demonstrate the same skill correctly three times in a row before moving on.

The winning combination wasn’t the addition of AI tutoring alone, but AI tutoring plus repetition, with the idea that students needed to stick with the skill to demonstrate some level of mastery. The students who practiced math with this AI-enhanced “mastery learning” approach scored about 3 percentage points higher than students receiving conventional computerized instruction. The advantage was small.


I Built a Team of AI Bots That Write Feedback Better than Me. Here’s How.  — from drphilippahardman.substack.com by Dr Philippa Hardman
Aka, how to make learners love AI-assisted feedback, rather than loathe it.

This wasn’t hidden from the cohort. For reasons I’ll come to below, I always tell my cohorts at the very start that an AI assistant will be helping me draft their feedback. The aim wasn’t to remove me from the process, but to find out whether AI could help me to deliver feedback at a volume and quality that I simply couldn’t maintain without AI.

Spoiler: the experiment worked — but not for the reason I expected. In this post, I’ll share exactly what I built, tell you how to build a version for your course and reveal the three conditions that decide whether learners trust AI-assisted feedback or quietly stop reading it.

TL;DR: the spec for my feedback assistant is long not because the model needs persuading, but because it’s where my judgement lives. Every rule in it is a decision AI would otherwise make by itself, with limited expertise. A spec doesn’t make the model smarter — it makes expertise and judgement legible enough for the model to follow.


Of the five stages of AI grief, some managers are stuck in denial— from timeshighereducation.com by Shadi Mohamed
Acceptance is not surrender. It is about getting beyond a policing obsession and rethinking what assessment aims to measure, says Shadi Mohamed

In that moment of institutional blindness, it struck me: universities are not merely struggling with a technological adoption curve. They are grieving the demise of the modern university’s economic and institutional logic.

To understand the scale of this threat posed by AI, consider what the internet did to journalism. Newspapers thrived by bundling together classified advertising with quick news hits, sports scores and opinion columns, using that reliable revenue to fund the expensive social necessity of investigative reporting. The rise of internet advertising did not kill journalism outright but it shattered the bundle, leaving the expensive core product without its historical financial engine.

Universities operate on a similar logic, bundling content delivery, assessment, credentialling, research and professional formation. But generative AI is now commodifying the most visible parts of that package. When AI can deliver personalised explanations instantly and generate the essays and reports we use to measure student capability, the traditional degree loses its role in the labour market as a proxy for understanding. If the bundle breaks, the economic model that funds our deeper purposes is in peril.


 

As fewer young people choose college, this district wants to ensure they have career options — from hechingerreport.org by Ariel Gilreath
In Niagara Falls, New York, a town with shrinking job options, students are encouraged to consider their careers in ninth grade

At Niagara Falls High School, students are encouraged to consider their careers upon arrival in ninth grade. By 11th grade, every student at the school must pick from one of five pathways, ranging from business and finance to design and engineering. The shift toward career education comes as about one-third of seniors at Niagara Falls High are rejecting college and instead choosing to enter the workforce after graduation, compared with roughly a quarter a decade ago, said Superintendent Mark Laurrie, who retired in June. In a town that’s struggled with population declines, where now-shuttered manufacturing plants once dominated the local labor market, there’s an urgency to prepare high school students for careers.

“It’s important to give them hope for the future with a career pathway — a career, not a job — to have something to aspire to and, hopefully, keep them in the city and in the state,” Laurrie said.

 

Bring playfulness into teaching for collaboration and creativity — from timeshighereducation.com by Isabel Taurel
In learning, playfulness is often overlooked. Yet it could be key to embedding the soft, ‘human’ skills students will need for the future. Isabel Taurel shows how

The same is true in higher education. Students who are able to rediscover a playful mindset leave the classroom with something far more valuable than a good grade. They develop confidence, are more willing to contribute unusual ideas and learn how to adapt when the unexpected happens. These are precisely the qualities employers increasingly tell us they need.

Yet the creative and cultural industries demonstrate their growing value. Success increasingly depends on collaboration, adaptability and creative confidence, all qualities that are fostered through arts-based learning and increasingly sought in every kind of workplace.

Playfulness isn’t a distraction from serious learning. It’s one of the most powerful ways we have of preparing students for a future in which the most valuable skills may be the most deeply human ones: listening, presence, responsiveness, imagination and a capacity to create meaning together.

 

Paying vendors for student results — from hechingerreport.org by Jill Barshay
The first evaluation of outcomes-based contracting found student achievement sometimes improved under this approach

Instead of paying vendors simply for delivering these tools, school districts are experimenting with a new approach to purchasing, called outcomes-based contracting, in which part of a vendor’s payment depends on whether students actually use the service and meet agreed-upon academic goals. The idea is to share risk between schools and vendors — and create incentives for both sides to pay closer attention to whether an intervention is working.

From DSC:
This could be tough to do. But it’s an interesting posting/idea/approach/strategy. Are the goals reached due to the tools/products/services of the vendors or are those products and services just one piece of the overall learning pie?

 

What Nobody Warns You About Teaching College for the First Time — from facultyfocus.com by Christopher Morales; this article is behind a firewall

What became clear throughout these conversations was that secondary and postsecondary education often prioritize very different instructional skill sets.

In K–12 education, teachers frequently receive formal preparation in:

  • classroom management,
  • scaffolding,
  • differentiation,
  • assessment design,
  • engagement strategies,
  • and developmental learning theory.

In higher education, disciplinary expertise is often treated as the primary qualification for teaching.

Yet many instructors pointed out that expertise alone does not automatically translate into effective instruction.


Also from Faculty Focus, see:


The Syllabus and the Scar Tissue: What Leadership Preparation Programs Leave Out and Why It Matters  — from facultyfocus.com Andy Szeto, EdD; this article is also behind a firewall

 

Will this new company be the largest company on the Internet by 2030? [Christian]

From DSC:
The vision that I’ve been tracking for well over a decade begins with this graphic:
.


Could LearnVector be this next-generation company/platform? Perhaps. Time will tell.


Per Matt Tower via The EdSheet Vol. 38 dated 7/31/26:

  • Coursera bets $100M on its own co-founder: Andrew Ng’s new venture LearnVector lands one of the largest single checks in edtech this year — from Coursera, the company he founded 14 years ago.
    .


LearnVector.ai

 

Steward Stories: How Heart of Oregon Corps Turns Service into Careers — from gettingsmart.com by Karen Pittman and Merita Irby

Our “Steward Stories” series captures lessons learned from interviews with leaders of mature, purpose-built ecosystem intermediaries. An ecosystem steward is a boundary-spanning leader who goes beyond traditional out-of-school time (OST) system building to weave together the diverse people, places, and possibilities that shape a young person’s daily life. Rather than managing a single isolated network, stewards collaborate across K-12 schools, youth development programs, and workforce systems to build vibrant, equitable learning ecosystems. They drive systemic change from practice to policy by creating purpose-built intermediaries, developing scalable cross-system training tools, and championing “Future Features” of learning. These core priorities include promoting learner agency, institutionalizing “unwalled” schools that connect community resources to formal education, broadening the definition of educators to include informal mentors, and normalizing pathways for students to receive school credit or credentials for out-of-school learning.

 The starting points, paths, and targets set by these stewards are as varied as the conditions and opportunities present within their communities. But they share similarities in vision and approach. Learn More Here.

Learning ecosystems may be found anywhere, but it takes careful stewardship to help them thrive.
— Shift, Remake Learning

 

Agilities — from agilities.org by the DeBruce Foundation; via Paul Fain
Help students build confidence and prepare for bright careers!
.


Also from Paul Fain, see:


Unlocking Opportunity: Progress on Moving More Students Toward Good Jobs — from highered.aspeninstitute.org

Released in partnership with the Community College Research Center (CCRC), Unlocking Opportunity: Progress on Moving More Students Toward Good Jobs highlights early outcomes from the first 10 colleges in the Unlocking Opportunity network. The report demonstrates that community colleges can rapidly increase enrollment in high-value workforce and transfer pathways while reducing enrollment in or improving programs with weaker labor market and bachelor’s degree outcomes.
.

 

Reconnecting Professional Learning — from elemenous.substack.com by Lucy Gray
Reflections from My Wednesday ISTE Panel

At ISTE this year, I facilitated a Wednesday morning panel on professional learning. The session I organized was titled, The Future of Professional Learning: Connecting Educators Across Borders. I was joined by fellow Apple Distinguished Educators Tami Brewster, Bethany LaDue Nugent, Marcus Borders, Jason Krug and global educator Julie Meltzer. Our focus: How do we move professional development away from isolated, one-time experiences and toward something more connected, meaningful, and human?

The panel was grounded in a few simple but powerful ideas: professional learning should nurture, guide, and empower. It should be relevant, contextual, reflective, and sustained. It should recognize educators as capable professionals, not as people who are broken and need to be fixed. Too often, professional development is still designed around deficit thinking. Too often, teachers’ needs are not the starting point, and sessions become dry, one-directional experiences where information is delivered at them rather than built through conversation and collaboration, with little choice, little personalization, and little connection to the realities of their classrooms. Our panel served as a call to action to re-think professional learning.

We explored six different approaches to professional learning, and while each model was distinct, a clear through line emerged: relationships matter most.

  1. Virtual Conferences at Scale — Lucy Gray — Actionable Innovations Events / GLOW
  2. Micro-Mentorship — Tami Brewster
  3. Networked, Values-Driven PD — Julie Meltzer — Institute for Humane Education
  4. AI-Personalized PD Pathways — Marcus Borders
  5. Share Stories with Voice — Bethany LaDue Nugent
  6. Speak Your Crazy — Jason Krug

  • Our Padlet – Share resources and introduce yourself
  • Our Slides – Meet our panelists and learn about our work
  • Our Google NotebookLM – This notebook contains dozens of resources related to research and best practices in educator professional learning
  • The Connected PD App – This is an app I’m building in Base 44 to help people plan great professional learning experiences

Also from Lucy Gray, see the following for some nice tips and resources:

 

This is the Future of High School
The Tennessee School Rewriting the Rules of High School — from xqsuperschool.org
At Elizabethton High School, students wanted more from their education. So they helped rebuild it—class by class, project by project. Their idea: give students real, meaningful work, and they’ll rise to the challenge.

A cold case became a Prime Video series. A robotics club became an international competitor. And an ordinary high school became something else entirely. Elizabethton is reinventing high school—and showing what’s possible for the rest of the country.

Watch the Elizabethton+XQ story
Ten years, one school, and a redesign still unfolding. It took courage to break with tradition—and that risk is paying off for an entire community.

 

A Comprehensive Report on Teens, Tweens, and AI — from commonsensemedia.org

To find out what that actually looks like day-to-day, we surveyed more than a thousand 9- to 17-year-olds across the country. We asked them how they use AI, how often, and for what.

The Common Sense Media Census: AI Use by Tweens and Teens (2026) is the first in a series we’ll repeat every year to learn how this generation’s relationship with AI evolves over time.

A few things stood out:

  • Kids are using AI for many things. It’s not just a homework helper anymore. For some kids, AI has become a confidant, even though our research is clear that AI companionship is not safe for anyone under 18.
  • Guardrails are thin to nonexistent. Schools are talking about rules more than safety. Three-quarters of kids say their school has discussed what they can and cannot use AI for, but just over half have been taught how to use AI safely.
  • Just like we saw with smartphones and social media, the conversation is once again lagging behind the technology. Nearly half of kids have never had a conversation with their parents about AI safety.
 

What a disco ball teaches us about learning and leadership — from timeshighereducation.com by Lauren Flannery
By acknowledging that perspectives are evolving and relational, educators and leaders can encourage contribution and connection without sacrificing what makes people distinct

It also shows us that difference does not always need to be resolved. In teaching, learning and leadership, the aim is not to create uniformity but to create conditions in which different people can contribute, connect and shine without losing what makes them distinct.

In classrooms, inclusion is sometimes approached as ensuring access to the same knowledge, resources and opportunities for all students. The beach ball helps here: it encourages us to explore multiple perspectives. But the disco ball pushes us further to explore how learning environments can support students to bring their experiences, identities and knowledge into the room – not to smooth them out but to draw from them.

Designing for multiple perspectives also means recognising that expressing an opinion is not only about confidence; it is also about conditions. People are more likely to speak when they feel their contribution will be heard without being dismissed, appropriated or flattened. Creating those conditions may involve discussing uncertainty, welcoming challenge, slowing down decision-making or making space for quieter forms of participation. The aim is not to make everyone agree, but to allow different reflections to interact in ways that generate richer understanding.

 
© 2025 | Daniel Christian