This used to be a cornerstone of every job application. Not anymore. — from washingtonpost.com by Julia Carpenter; this is a gifted article
Has AI finally killed the cover letter?

“It’s not just easier to write a cover letter, it’s easier to write a phenomenal cover letter,” Kessler said. “That’s become more of a prerequisite and less of a differentiator.”

At the same time, the use of AI has contributed to an explosion of applications. For every open role in 2026 there are twice as many applicants as there would have been for similar roles in 2022, according to a recent study from LinkedIn Research.

That makes hiring managers and recruiters less likely to give cover letters even a perfunctory glance. They have too much else to handle during a busy job search, said Johnny C. Taylor, president and chief executive officer of the Society for Human Resource Management.

“The cover letter is literally dead, never to be resuscitated,” he said. “There’s too much volume for this beautiful piece of prose.”

“It’s tough when no one can give you a right answer,” Ogunlana said. “You have some recruiters saying ‘It’s worth it’ and others saying ‘No.’”

If there is any consensus, it’s that cover letters with a “human element” still can help an applicant stand out.

They need to sound different from all the ones written with AI, said Jason Baker, vice president of talent acquisition at Arctic Wolf, a security operations firm.

Baker recalled one applicant who didn’t land the job they originally applied for, but because their cover letter made such an impression, Baker invited them back when the company was hiring again for a similar position.

 

The Small Business Hub at National Disability Institute (NDI) is excited to welcome you to this year’s Disability Owned Convening, a fully virtual, national event taking place on October 21 and 22, 2026.

This accessible event offers a wide range of topics aiming to empower entrepreneurs to navigate an ever-changing business landscape, including leveraging AI, achieving financial health, marketing, accessing support and resources and panels highlighting how entrepreneurs with disabilities seize opportunities and overcome challenges to build thriving businesses.

Over the past four years, this dynamic event has connected thousands of entrepreneurs and small business owners with disabilities, entrepreneurial support organizations, state vocational rehabilitation counselors, policy makers, financial institutions and disability advocates from across the country.

Previous Disability Owned Convening Materials
Discover a trove of insights and inspiration by exploring our collection of archived trainings from previous Disability Owned Convenings! Over the past four years, this dynamic event has united entrepreneurs and advocates, offering invaluable resources and actionable advice tailored for individuals with disabilities. Whether you’re seeking guidance on access to capital, innovative marketing strategies, or tools to enhance your business organization, these archived collections offer a wealth of information.

 

Social Learning in a Skills-Based Economy — from learningguild.com by George Hall

In a skills-based economy, social learning should not be understood merely as interaction around content. It should be understood as part of the learning architecture itself: the social and emotional structure that helps people ask questions, test ideas, practice judgment, receive feedback, and stay open when learning feels personally risky.

That distinction matters.

In a defensive culture, social learning creates the conditions in which people can stay engaged with difficult ideas long enough to learn from them.

People often need other people to help them think:

  • They need to hear others reason their way through complexity
  • They need to see peers ask questions they were afraid to ask
  • They need to practice disagreement without rupture
  • They need to discover that uncertainty is shared
  • They need to see that changing one’s thinking does not have to mean losing face

This is not soft. Far from it.

It is foundational.

 

AI Is Changing Career Guidance. It May Be Missing the Hardest Part. (Diane Tavenner, Futre – Part 2) — from humanistxyz.substack.com by Allison Dulin Salisbury and Diane Tavenner
“AI is getting very good at telling young people what they could do. The harder question is who they want to become.”

Diane’s view is that you cannot shortcut the work of figuring out who you want to become. Young people need to form hypotheses about the lives they might want, go out into the world and test them, reflect on what they learn, and change their minds. Parents, teachers, mentors, and other caring adults matter enormously, but their job is to help a young person make sense of the evidence, not supply the answer.

I find this framing particularly important right now. The world of work is changing quickly, and AI will keep getting better at showing young people their options.

But having more options, or better information about them, doesn’t necessarily make it easier to choose a life.

 

How Book Cover Keychains Boosted Our School’s Culture of Reading — from edutopia.org by Carsyn Smothers
This clever idea, which came from a librarian’s TikTok, is easy to carry out and encourages lively conversations about books.

Last year, I came across a TikTok that instantly caught my attention. School librarian Lauren Mobley explained how she managed to insert specially designed book covers into keychains, which students could attach to their backpacks and show off to their friends. Mobley created the book cover designs in Canva, she said, and then purchased a batch of keychains.

I loved the idea. I also wondered whether the keychains could be more than a fun craft or a decoration. Could they additionally serve as a reader advisory tool?


How Good Teachers Get Even Better — from edutopia.org by Youki Terada
Like elite athletes and musicians, even outstanding teachers have room to grow. Here are 6 research-based ways to keep sharpening your skills.

Effective teaching, then, is less about executing a set of prescribed strategies and more about developing the “informed judgment” necessary to “engage in complex decision-making and practice,” the researchers note. For example, watching how a master teacher delivers a lesson or handles difficult moments in the classroom, and then rehearsing those moves while getting feedback from coaches, allows for authentic “feedback in the moment” along with quick hints on “how to elevate instruction.”

That kind of expertise doesn’t happen automatically; it develops when teachers take the long view and engage, over many years, in a disciplined course of deliberate practice, identifying a set of skills they want to improve and then making the time to reflect on and practice them.


Arts-Integrated Outdoor Lessons for Elementary Students — from edutopia.org by Charlene Lutz
A pumpkin can become an entire unit if you let it: These engaging fall activities encourage students to slow down and learn from what’s around them.

October is one of my favorite times to take learning outside.

There is so much already happening in the environment that we really do not need to create an elaborate setup. Leaves are changing, seed pods are drying out, sticks and pine cones are everywhere, and pumpkins are suddenly easy to find. I have found that these ordinary seasonal materials can lead to some of the richest learning experiences because students are able to observe, move, touch, collect, build, draw, measure, and ask questions all within the same lesson.

Here are three October investigations I have found especially easy to adapt across K–5.


A 4-Step Plan for Promoting Metacognition in Middle School — from edutopia.org by Kasey Short
Thinking about how they think helps students develop an essential skill that supports their academic success and independence.

In middle school, as students gain independence and are given increased responsibility, it’s an essential time to explicitly teach metacognitive skills. Middle school is often the first opportunity for students to move from one class to another and interact each period with a new teacher who has their own style and set of expectations. Students also move from concrete to abstract thinking while managing long-term assignments, preparing for assessments, revising writing, and solving increasingly complex problems. When students are instructed to study, revise, prepare, and more, they need tools to make effective decisions about those tasks and useful strategies to manage their additional responsibilities.

Metacognition is an essential part of providing students with the tools and strategies they need to be successful in middle school. Work with metacognition is best used as a regular classroom practice that can be implemented by naming it, modeling, providing students with language to discuss their thinking, and creating consistent opportunities for students to engage with this skill and see its impact on their learning.

 

Want to Close the Skills Gap? Bring Learning Closer to Work — from campustechnology.com by Elise Awwad

Key Takeaways

  • The skills gap is a workforce access problem as much as a talent problem: Employers broadly plan to upskill workers, yet many employees still lack sufficient time or access to AI training.
  • AI fluency compounds where workers already have access: Employees who use AI regularly build confidence and capability, while those whose jobs keep them farther from the technology risk falling further behind.
  • Upskilling works better when learning is integrated with work: Employers and higher education should create pathways that combine technical and durable skills with on-the-job application, rather than treating reskilling as an individual responsibility.

The skills employers say they cannot find are increasingly the skills they expect employees and candidates to arrive with, fully formed, at their own expense.
…
Upskilling or reskilling is often framed as an individual responsibility: a matter of initiative, of staying current. But if employers need these skills, they have a stake in making sure workers have a realistic way to develop them.

 

The Age of Perpetual Change — from educause.edu
Artificial intelligence (AI) has risen to the number one spot on the 2027 EDUCAUSE Top 10. But its rank signals urgency more than consensus, and higher education is still grappling with what AI-driven change could mean for institutions. In many ways, AI embodies a broader reality: We’re living in an age of perpetual change.

2027 Top 10 Overview
Technological innovation is outpacing our ability to manage and harness it. The political and economic winds around us are erratic. And higher education itself is undergoing profound shifts that will reshape how our institutions function.

While this atmosphere breeds uncertainty and anxiety, it can also inspire innovation and growth. The 2027 EDUCAUSE Top 10 highlights how the higher education technology community is responding to those opportunities.

 

The State of AI Report 2026 — from press.airstreet.com by Nathan Benaich
AI is building AI, physical AI, booming inference, and escalating cyber risks.

For nearly a decade, this report has been a labor of love. My interest in AI began with my PhD in cancer research and computational biology in the early 2010s. Since 2013, I’ve invested in companies building and applying AI to accelerate technological progress. The report is my way of sharing what I’m learning and helping more people understand the research shaping our world.

Every day brings new papers, model releases, and developments in industry and politics. Much of the work goes into deciding what deserves your attention, checking what the evidence supports, debating it with researchers and builders, and explaining why it matters.

 

Making real work visible: Credentialing Community Justice Workers with Frontline Justice — from eddesignlab.org (also educationdesignlab.org)

Frontline Justice is working toward a simple, ambitious vision: By 2035, anyone, no matter their background or location, can access the legal help they need for everyday civil issues. To move toward that future, the work is organized around two goals that run in parallel: (1) rapidly growing a new workforce of justice workers now, and (2) laying out long-term vocational paths so this role becomes a lasting and respected part of the justice ecosystem.

 

The AI Tools that L&D Teams Are Building (Rather than Buying) — from drphilippahardman.substack.com by Dr. Philippa Hardman
Aka, how build skills are changing how L&D thinks & works

More and more of my advisory work is no longer about helping organisations choose a vendor; it’s about helping their teams build their own AI tools, and build them well. Over the last couple of years I’ve watched several hundred L&D practitioners do it, and in this week’s post I share what they built, why, and what it tells us about what L&D actually needs from AI.

A Tool of One’s Own
So, what do these tools look like in practice? I did some analysis and the tools that L&D teams are building first fall into three categories:

1. Tools that support the work before and after the course
2. Tools that make the learning experience more dynamic
3. Tools that do L&D tasks to the team’s own methods, processes and standards

 

Skills validation won’t scale on technology alone — from eddesignlab.org (also see educationdesignlab.org)
New report by Education Design Lab explores what it takes to build skills-validation ecosystems that work for people — and at scale.
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As employers, educators, and workforce systems move toward skills-based practices, the challenge is no longer simply issuing badges or building assessments. The real work is creating systems that help people demonstrate what they can do, earn credentials they understand and trust, and carry those signals into real opportunities.

Education Design Lab’s new report, Validating Skills at Scale: A Human + Tech Ecosystem View, explores what it takes to make that possible.

Using the Lab’s XCredit ecosystem as a reference model, the report follows a composite opportunity seeker through the full skills-validation journey: discovering an opportunity, selecting a skill, completing a performance-based assessment, receiving feedback, earning and sharing a credential, and navigating next steps.

 

Priority 1: Getting a View and Setting a Vision Across Systems — from michaelbhorn.substack.com by Michael B. Horn, Angela Jackson, Mallory Dwinal-Palisch, and Danny Curtis

The shift required to prepare learners for a labor market defined by rapid skill change and more complex transitions cannot be accomplished by any one system. Nor is it enough for K–12, higher education, and workforce development to improve independently. They must work together—aligning programs, sharing resources, creating smoother transitions, and building models that combine academic learning with real workplace experience. Career readiness is not simply a goal these systems share. It is a shared outcome that they produce together as parts of a single talent pipeline.

For that reason, the first priority for states is not a single programmatic reform. It is creating a coherent, cross-system strategy. K–12, higher education, and workforce agencies— and the providers they oversee—need a common understanding of the current system, the future state they are trying to build, the changes required to get there, and the progress they are making toward those changes.
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Tech & Learning Announces Winners of Best for Back to School 2026 — from techlearning.com by TL Editors
This annual award celebrates the products that offer schools versatility, value, and solutions to specific problems to support innovative, effective teaching and learning.

The 2026-27 school year is off and running, and it’s already shaping up to be another pivotal year for education. While AI remains a massive topic, the biggest headline this fall is the screentime debate, hands down. Communities nationwide—including the country’s two largest school districts—are advocating for strict limitations and outright bans to reclaim screen-free classrooms.

Yet, if there’s one constant in education, it’s resilience. We adapt, we evolve, and we keep going because at the heart of it all, we want what’s best for our students. Instead of a setback, this heightened scrutiny around screentime and AI has forced the edtech community to be better. It demands that the tools we bring into the classroom are safe and built to inspire active creation rather than passive consumption.
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How to Improve Your AI Skills — from wondertools.substack.com by Frank Andrade and Jeremy Caplan
What to learn next, from prompts to workflows
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Today I’m sharing a guest post on how to strengthen your AI skills. It’s by Frank Andrade, an AI instructor who has helped thousands of people on Substack master ChatGPT and Claude with beginner-friendly guides and in-depth tutorials.

 

New study: 15 community college presidents on what it will take to lead higher ed’s next chapter — from eddesignlab.org

Community colleges are at a pivotal moment.

As learners, employers, and regional economies change, these institutions have an opportunity to lead the next evolution of higher education — if they can move beyond structures built for a different era.

In the Lab’s new study, Insights from 15 Community College Presidents on the Future of Learning in a New Economy, leaders share their perspectives on the opportunities and barriers facing the sector, as well as the institutional changes needed to help more learners access economic mobility.

Their insights validate Education Design Lab’s Future of Learning framework, which asks five essential design questions:

  1. How might we make skills and competencies visible?
  2. How might we create stackable pathways that credential skills along the way?
  3. How might we make learning universally flexible through multiple modalities?
  4. How might we guarantee applied learning opportunities for every learner?
  5. How might we ensure every learner has access to adequate support services?

 

 
© 2025 | Daniel Christian