K-12 related

Confidence, Engagement, and Love: The Missing Alumni Data that Will Transform K-12 — from gettingsmart.com by Corey Mohn

Ten years ago, we made a bet on relationships over replication. Instead of franchising a model, we chose to build an ecosystem—the CAPS Network—grounded in the belief that an entrepreneurial approach would create ripples of innovation with exponential scaling power. We believed that by harnessing the power of relationships for good, we could help more students discover who they are and where they belong in the world.

Today, with over 1,200 alumni voices captured in our 2025 Alumni Impact Study, we’re seeing those ripples turn into waves. And we believe these waves can and will be surfed by educators all across the globe. We are committed to the idea that our purpose (providing more students in more places the time and space for self-discovery) is more important than our brand. As such, we want our learnings to be leveraged by anyone and everyone to make a positive impact.

Confidence, Engagement, and Love explores the data we rarely track but desperately need. This piece argues that alumni confidence, sustained engagement, and a sense of being loved by their school communities are leading indicators of long-term success. It challenges K–12 systems to look beyond test scores and graduation rates and instead ask what happens after students leave, who stays connected, and how belonging shapes opportunity. The result is a call to rethink accountability around relationships, not just results.

Early Signs of Dyslexia in Kids and When to Get Help [Singal]

On 02/05/2026, in education, K-12 related, learning, neurodivergent/special needs, reading, student-related, teachers, UK, youth, by Daniel Christian

Early Signs of Dyslexia in Kids and When to Get Help — from intelligenthq.com by Pallavi Singal

Children develop at different speeds, and that’s completely normal. However, some learning struggles feel more persistent and harder to explain. Many parents start to worry when reading or spelling does not improve over time, even with regular practise.

Dyslexia in children is more common than many people realise, yet it is often misunderstood. The early signs of dyslexia in kids can be subtle, especially in younger children and they don’t always appear all at once. Because of this, they are easy to miss at first.

This guide breaks down the signs by age, from early years to primary school and beyond. It also explains what to look out for and what practical steps you can take next, so you feel informed, supported and confident about how to help your child.

Axios CEO Jim VandeHei’s note to his kids: Blunt AI talk [VandeHei]

On 02/04/2026, in 21st century, 24x7x365 access, active learning, adjunct faculty, adult learning, Artificial Intelligence/Agents/LLMs/and Related, bots, business, career development, change, changing business models, cloud-based computing / apps / other cloud-related, colleges, communities of practice, community colleges, corporate / business world, digital learning, education technology, emerging technologies, experimentation, faculty/staff, game-changing environment, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, informal learning, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, liberal arts, library / librarians, lifelong learning, productivity / tips and tricks, skills, society, staying relevant, student-related, surviving, teachers, teaching & learning, technologies for your home, tools, trends, United States, universities, vendors, vision/possibilities, workplace, youth, by Daniel Christian

Jim VandeHei’s note to his kids: Blunt AI talk — from axios.com by CEO Jim VandeHei
Axios CEO Jim VandeHei wrote this note to his wife, Autumn, and their three kids. She suggested sharing it more broadly since so many families are wrestling with how to think and talk about AI. So here it is …

Dear Family:
I want to put to words what I’m hearing, seeing, thinking and writing about AI.

Simply put, I’m now certain it will upend your work and life in ways more profound than the internet or possibly electricity. This will hit in months, not years.
The changes will be fast, wide, radical, disorienting and scary. No one will avoid its reach.

I’m not trying to frighten you. And I know your opinions range from wonderment to worry. That’s natural and OK. Our species isn’t wired for change of this speed or scale.

My conversations with the CEOs and builders of these LLMs, as well as my own deep experimentation with AI, have shaken and stirred me in ways I never imagined.

All of you must figure out how to master AI for any specific job or internship you hold or take. You’d be jeopardizing your future careers by not figuring out how to use AI to amplify and improve your work. You’d be wise to replace social media scrolling with LLM testing.

Be the very best at using AI for your gig.

…more here.

Also see:

Also relevant/see:

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.

The Essential Retrieval Practice Handbook — from edutopia.org
Retrieval practice is one of the most effective ways to strengthen learning. Here’s a collection of our best resources to use in your classroom today.
January 29, 2026

Also see:

What is retrieval practice? — from retrievalpractice.org

When we think about learning, we typically focus on getting information into students’ heads. What if, instead, we focus on getting information out of students’ heads?

The Learning and Employment Records (LER) Report for 2026: Building the Infrastructure Between Learning and Work [Smart Resume & others]

On 01/29/2026, in 21st century, adult learning, Alternatives, apprenticeships, Artificial Intelligence/Agents/LLMs/and Related, business, career development, colleges, communities of practice, community colleges, consortiums, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, credentialing, Daniel S. Christian, education, future, game-changing environment, higher education, homeschooling/homeschoolers, ideas, innovation, intelligent systems, IT in HE, K-12 related, learner profiles, learning, learning agents, learning ecosystem, legislatures / government / legal, liberal arts, lifelong learning, marketplaces, platforms, professional development, skills, society, student-related, tools, training / L&D, United States, universities, vendors, vision/possibilities, workplace, by Daniel Christian

The Learning and Employment Records (LER) Report for 2026: Building the infrastructure between learning and work — from smartresume.com; with thanks to Paul Fain for this resource

Executive Summary (excerpt)

This report documents a clear transition now underway: LERs are moving from small experiments to systems people and organizations expect to rely on. Adoption remains early and uneven, but the forces reshaping the ecosystem are no longer speculative. Federal policy signals, state planning cycles, standards maturation, and employer behavior are aligning in ways that suggest 2026 will mark a shift from exploration to execution.

Across interviews with federal leaders, state CIOs, standards bodies, and ecosystem builders, a consistent theme emerged: the traditional model—where institutions control learning and employment records—no longer fits how people move through education and work. In its place, a new model is being actively designed—one in which individuals hold portable, verifiable records that systems can trust without centralizing control.

Most states are not yet operating this way. But planning timelines, RFP language, and federal signals indicate that many will begin building toward this model in early 2026.

As the ecosystem matures, another insight becomes unavoidable: records alone are not enough. Value emerges only when trusted records can be interpreted through shared skill languages, reused across contexts, and embedded into the systems and marketplaces where decisions are made.

Learning and Employment Records are not a product category. They are a data layer—one that reshapes how learning, work, and opportunity connect over time.

This report is written for anyone seeking to understand how LERs are beginning to move from concept to practice. Whether readers are new to the space or actively exploring implementation, the report focuses on observable signals, emerging patterns, and the practical conditions required to move from experimentation toward durable infrastructure.

…

“The building blocks for a global, interoperable skills ecosystem are already in place. As education and workforce alignment accelerates, the path toward trusted, machine-readable credentials is clear. The next phase depends on credentials that carry value across institutions, industries, states, and borders; credentials that move with learners wherever their education and careers take them. The question now isn’t whether to act, but how quickly we move.”

– Curtiss Barnes, Chief Executive Officer, 1EdTech

The above item was from Paul Fain’s recent posting, which includes the following excerpt:

SmartResume just published a guide for making sense of this rapidly expanding landscape. The LER Ecosystem Report was produced in partnership with AACRAO, Credential Engine, 1EdTech, HR Open Standards, and the U.S. Chamber of Commerce Foundation. It was based on interviews and feedback gathered over three years from 100+ leaders across education, workforce, government, standards bodies, and tech providers.

The tools are available now to create the sort of interoperable ecosystem that can make talent marketplaces a reality, the report argues. Meanwhile, federal policy moves and bipartisan attention to LERs are accelerating action at the state level.

“For state leaders, this creates a practical inflection point,” says the report. “LERs are shifting from an innovation discussion to an infrastructure planning conversation.”

From Stephanie T.’s posting out on LinkedIn

The lesson isn’t to make school reports more like Spotify Wrapped.

It’s to design reports that are accessible, timely, and readable — without losing the humanity that makes teacher insight meaningful.

If a report is too difficult to access, or arrives too late to matter, who is it really for?

Reflecting on Education in 2025 [Dr. Rachelle Dené Poth]

On 01/06/2026, in Artificial Intelligence/Agents/LLMs/and Related, bots, education, education reform, ideas, K-12 related, student-related, teachers, trends, United States, by Daniel Christian

Reflecting on Education in 2025 — from by Dr. Rachelle Dené Poth

Educators have become more discerning about initiatives to invest in, tools to explore, and expectations to set. The question “Can we do this?” shifted to “Should we do this? And “Why?” Which then led to the “How” part.

This shift showed up in conversations around curriculum, assessment, technology use, and student well-being. Schools began reducing or being more selective rather than layering, which helped educators to adjust better to change. Leaders focused more on coherence instead of compliance. And in some conversations I had or articles I read, I noticed respectful pushback on practices that added complexity without improving learning.

I think this is why the recalibration mattered.

AI has become less about “cheating” and more about helping students and others learn how to think, evaluate, and create responsibly in an AI-infused world.
…
Educators have become more discerning about initiatives to invest in, tools to explore, and expectations to set. The question “Can we do this?” shifted to “Should we do this? And “Why?” Which then led to the “How” part.

6 Ed Tech Tools to Try in 2026 — from cultofpedagogy.com by Jennifer Gonzalez

It’s that time again ~ the annual round-up of tech tools we think are worth a look this year. This year I really feel like there’s something for everyone: history teachers, math and science teachers, people who run makerspaces, teachers interested in music or podcasting, writing teachers, special ed teachers, and anyone whose course content could be made clearer through graphic organizers.

Also somewhat relevant here, see:

Edtech Show & Tell January 2026 — from techlearning.com by Diana Restifo and Ray Bendici
New edtech products that have caught our attention this month
Best Sites & Apps for K-12 Education Games — from techlearning.com by Diana Restifo
Game-based learning is a great way to integrate technology into the classroom while engaging kids with real learning.
Wonder Tools Tidbits to Start 2026 — from wondertools.substack.com by Jeremy Caplan
AI-spotting games, smart reads, and gems you missed

Some words to reflect on from Will Richardson

On 01/04/2026, in change, education, education reform, K-12 related, leadership, learning, learning ecosystem, Learning Experience Design, strategy, student-related, teachers, United States, youth, by Daniel Christian

How Your Learners Actually Learn with AI [Hardman] + another item re: AI in our learning ecosystems

On 12/22/2025, in 21st century, 24x7x365 access, adjunct faculty, adult learning, Artificial Intelligence/Agents/LLMs/and Related, bots, cloud-based computing / apps / other cloud-related, colleges, communities of practice, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, experimentation, faculty/staff, future of higher education, game-changing environment, generational differences, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, liberal arts, library / librarians, Microsoft, personalized/customized learning, platforms, productivity / tips and tricks, research, skills, student-related, teachers, teaching & learning, technologies for your home, tools, trends, United States, universities, vendors, workplace, youth, by Daniel Christian

How Your Learners *Actually* Learn with AI — from drphilippahardman.substack.com by Dr. Philippa Hardman
What 37.5 million AI chats show us about how learners use AI at the end of 2025 — and what this means for how we design & deliver learning experiences in 2026

Last week, Microsoft released a similar analysis of a whopping 37.5 million Copilot conversations. These conversation took place on the platform from January to September 2025, providing us with a window into if and how AI use in general — and AI use among learners specifically – has evolved in 2025.

Microsoft’s mass behavioural data gives us a detailed, global glimpse into what learners are actually doing across devices, times of day and contexts. The picture that emerges is pretty clear and largely consistent with what OpenAI’s told us back in the summer:

AI isn’t functioning primarily as an “answers machine”: the majority of us use AI as a tool to personalise and differentiate generic learning experiences and – ultimately – to augment human learning.

Let’s dive in!

Learners don’t “decide” to use AI anymore. They assume it’s there, like search, like spellcheck, like calculators. The question has shifted from “should I use this?” to “how do I use this effectively?”

8 AI Agents Every HR Leader Needs To Know In 2026 — from forbes.com by Bernard Marr

So where do you start? There are many agentic tools and platforms for AI tasks on the market, and the most effective approach is to focus on practical, high-impact workflows. So here, I’ll look at some of the most compelling use cases, as well as provide an overview of the tools that can help you quickly deliver tangible wins.
…
Some of the strongest opportunities in HR include:

Workforce management, administering job satisfaction surveys, monitoring and tracking performance targets, scheduling interventions, and managing staff benefits, medical leave, and holiday entitlement.
Recruitment screening, automatically generating and posting job descriptions, filtering candidates, ranking applicants against defined criteria, identifying the strongest matches, and scheduling interviews.
Employee onboarding, issuing new hires with contracts and paperwork, guiding them to onboarding and training resources, tracking compliance and completion rates, answering routine enquiries, and escalating complex cases to human HR specialists.
Training and development, identifying skills gaps, providing self-service access to upskilling and reskilling opportunities, creating personalized learning pathways aligned with roles and career goals, and tracking progress toward completion.

So, You Want to Open a Microschool — from educationnext.org by Kerry McDonald
For aspiring founders who have the will but lack the way to launch their schools, startup partners are there to help

In recent years, microschools—small, highly individualized, flexible learning models—have become a popular education option, now serving at least 750,000 U.S. schoolchildren. More than half of microschools nationwide operate as homeschooling centers, while 30 percent function as private schools, 5 percent are public charters, and the rest fit into unique, often overlapping categories, according to a 2025 sector analysis by the National Microschooling Center. While many founders achieve success on their own, joining an accelerator or network can offer the business coaching and community connection that make the inevitable challenges of entrepreneurship more manageable. Van Camp decided to join KaiPod Catalyst, a microschool accelerator program from KaiPod Learning.

I feature six of these microschool accelerators and networks in my new book, Joyful Learning: How to Find Freedom, Happiness, and Success Beyond Conventional Schooling. Some of them have been around for years, but they have attracted rising interest since 2020 as more parents and teachers consider starting schools. These programs vary widely in the startup services and supports they offer, but they share a commitment to building relationships among founders and facilitating the ongoing success of today’s creative schooling options.

MICROSCHOOL REPORT
A small shift with an outsized impact in K-12 education— from gettingsmart.com by Getting Smart

High quality, personalized instruction in an intimate setting that focuses on the whole child is growing in popularity—and it looks very different from traditional models both past and present. What may seem like a throwback to the pioneers’ one-room schoolhouse actually speaks volumes about what we as a society have outgrown.

What began as a response to a global crisis has led to a watershed moment.

Yet to categorize microschools simply as “pandemic pods” or private schools with a low headcount largely misses the mark. They are perhaps best described as intentionally-designed small learning environments that are bucking two centuries of inertia and industrial-era constraints.

Microschools are providing educators with an entrepreneurial opportunity that was unthinkable just a couple of decades ago, in tandem with the ability to deliver high student and family satisfaction. And they’re doing it by prioritizing learner agency, personalization, and mastery over compliance and standardization.

However, for microschools to truly scale and impact equitable outcomes, the K-12 sector must address critical policy challenges related to access, accountability and regulatory restrictions.

The following key findings from deeply researched case studies and strategic guides published by the Getting Smart team are intended to provide a comprehensive overview on the microschool movement. Each section offers an opportunity to dive deeper into resources on specific, timely topics.

Speaking of education reform and alternatives, also see:

Driving systems transformation for 21st-century educators, learners, and workers. — from jff.org

Today’s education ecosystem must meet the needs of today’s learners. This means learner-centered outcomes, pathways between education and careers, and policies and practices that support both degree and non-degree programs.

Jobs for the Future’s Education practice works to support systems change in the education ecosystem, influence policies that promote diverse pathways, and identify and apply data-informed, learner-centered solutions.

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

On 12/16/2025, in 21st century, 24x7x365 access, adjunct faculty, adult learning, Alternatives, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, bots, career development, change, changing business models, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communities of practice, community colleges, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education technology, experimentation, faculty/staff, future of higher education, game-changing environment, generational differences, higher education, human-computer interaction (HCI), India, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, liberal arts, library / librarians, lifelong learning, microlearning, online media, personalized/customized learning, platforms, productivity / tips and tricks, student-related, teachers, teaching & learning, technologies for your home, the downsides of how people use tech, tools, training / L&D, trends, UK, United States, universities, vendors, vision/possibilities, youth, by Daniel Christian

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:

Not Your Default Chatbot: Five Teaching Applications of Custom AI Bots
Agile Learning
derekbruff.org/2025/10/01/five-teaching-applications-of-custom-ai-chatbots/

Fresh Off the Press: Parents’ Guide to Microschools — from gettingsmart.com

We’re excited to announce and share our new Parents Guide to Microschools, a clear and approachable introduction to one of the fastest growing learning models in the country. The guide unpacks what microschools are, how they work and why families are increasingly drawn to intimate, relationship centered environments. It highlights features like flexible schedules, small cohorts, personalized pathways and hands-on learning so parents can picture what these settings actually look and feel like.

It also equips families with practical tools to navigate the decision making process: key questions to ask during visits, indicators of strong culture and instruction, considerations around cost and accreditation and how to assess overall fit for each learner. Whether parents are simply curious or actively exploring new options, this guide offers clarity, confidence and a starting point for imagining what learning could look like next.

“My students use ChatGPT to attack their own thinking before I ever grade them.” [Winkel] + another item re: AI in our LE’s

On 12/10/2025, in adjunct faculty, adult learning, Artificial Intelligence/Agents/LLMs/and Related, bots, cloud-based computing / apps / other cloud-related, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, creativity, digital learning, education, education technology, emerging technologies, experimentation, faculty/staff, future of higher education, game-changing environment, generational differences, graphics, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, learning spaces, liberal arts, library / librarians, lifelong learning, multimedia, pedagogy, personalized/customized learning, platforms, productivity / tips and tricks, skills, society, student-related, teachers, teaching & learning, teaching online, technologies for your home, tools, training / L&D, trends, United States, universities, vendors, vision/possibilities, workplace, by Daniel Christian

Beyond Infographics: How to Use Nano Banana to *Actually* Support Learning — from drphilippahardman.substack.com by Dr Philippa Hardman
Six evidence-based use cases to try in Google’s latest image-generating AI tool

While it’s true that Nano Banana generates better infographics than other AI models, the conversation has so far massively under-sold what’s actually different and valuable about this tool for those of us who design learning experiences.

What this means for our workflow:

Instead of the traditional “commission ? wait ? tweak ? approve ? repeat” cycle, Nano Banana enables an iterative, rapid-cycle design process where you can:

Sketch an idea and see it refined in minutes.
Test multiple visual metaphors for the same concept without re-briefing a designer.
Build 10-image storyboards with perfect consistency by specifying the constraints once, not manually editing each frame.
Implement evidence-based strategies (contrasting cases, worked examples, observational learning) that are usually too labour-intensive to produce at scale.

This shift—from “image generation as decoration” to “image generation as instructional scaffolding”—is what makes Nano Banana uniquely useful for the 10 evidence-based strategies below.

Categories

Tags