ideas

What trauma-informed practice is not — from timeshighereducation.com by Kate Cantrell, India Bryce, and Jessica Gildersleeve from The University of Southern Queensland
Before trauma-informed care can be the norm across all areas of the university, academic and professional staff need to understand what it is. Here, three academics debunk myths and demystify best practice

Recently, we conducted focus groups at our university to better ascertain how academics, administrators and student support staff perceive the purpose and value of trauma-informed practice, and how they perceive their capacity to contribute to organisational change.

We discovered that while most staff were united on the importance of trauma-informed care, several myths persist about what trauma-informed practice is (and is not). Some academic staff, for example, conflated teaching about trauma with trauma-informed teaching, confused trigger warnings with trigger points and, perhaps most alarmingly – given the prevalence of trauma exposure and risk among university students – misjudged trauma-informed practice as “the business of psychologists” rather than educators.

The Third Horizon of Learning Shifting beyond the Industrial Model — from gettingsmart.com by Sujata Bhatt & Mason Pashia

Over 24 blog posts, we have sketched a bold vision of what this next horizon of education looks like in action and highlighted the many innovators working to bring it to life. These pioneers are building new models that prioritize human development, relationships, and real-world relevance as most valuable. They are forging partnerships, designing and adopting transformative technologies, developing new assessment methods, and more. These shifts transform the lived experiences of young people and serve the needs of families and communities. In short, they are delivering authentic learning experiences that better address the demands of today’s economy, society, and learners.

We’ve aggregated our findings from this blog series and turned it into an H3 Publication. Inside, you’ll find our key transformation takeaways for school designers and system leaders, as well as a full list of the contributing authors. Thank you to all of the contributors, including LearnerStudio for sponsoring the series and Sujata Bhatt at Incubate Learning for authorship, editing and curation support throughout the entirety of the series and publication.
.

“8 Weeks Left to Prepare Students for the AI-Enhanced Workplace” [Schroeder] + other items re: AI in our LEs

On 03/21/2025, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, assessment, career development, change, cloud-based computing / apps / other cloud-related, colleges, community colleges, content development, aggregation, repositories, corporate / business world, curriculum, digital learning, education technology, emerging technologies, expectations, experimentation, faculty/staff, future, game-changing environment, Google, higher education, human-computer interaction (HCI), ideas, instructional design, intelligent systems, learning, Learning Experience Design, liberal arts, new business models, online learning, pedagogy, personalized/customized learning, platforms, productivity / tips and tricks, professional development, research, staying relevant, student-related, surviving, teaching & learning, teaching online, trends, United States, universities, workplace, by Daniel Christian

8 Weeks Left to Prepare Students for the AI-Enhanced Workplace — from insidehighered.com by Ray Schroeder
We are down to the final weeks left to fully prepare students for entry into the AI-enhanced workplace. Are your students ready?

The urgent task facing those of us who teach and advise students, whether they be degree program or certificate seeking, is to ensure that they are prepared to enter (or re-enter) the workplace with skills and knowledge that are relevant to 2025 and beyond. One of the first skills to cultivate is an understanding of what kinds of services this emerging technology can provide to enhance the worker’s productivity and value to the institution or corporation.
…
Given that short period of time, coupled with the need to cover the scheduled information in the syllabus, I recommend that we consider merging AI use into authentic assignments and assessments, supplementary modules, and other resources to prepare for AI.

Learning Design in the Era of Agentic AI — from drphilippahardman.substack.com by Dr Philippa Hardman
Aka, how to design online async learning experiences that learners can’t afford to delegate to AI agents

The point I put forward was that the problem is not AI’s ability to complete online async courses, but that online async courses courses deliver so little value to our learners that they delegate their completion to AI.

The harsh reality is that this is not an AI problem — it is a learning design problem.

However, this realisation presents us with an opportunity which we overall seem keen to embrace. Rather than seeking out ways to block AI agents, we seem largely to agree that we should use this as a moment to reimagine online async learning itself.

8 Schools Innovating With Google AI — Here’s What They’re Doing — from forbes.com by Dan Fitzpatrick

While fears of AI replacing educators swirl in the public consciousness, a cohort of pioneering institutions is demonstrating a far more nuanced reality. These eight universities and schools aren’t just experimenting with AI, they’re fundamentally reshaping their educational ecosystems. From personalized learning in K-12 to advanced research in higher education, these institutions are leveraging Google’s AI to empower students, enhance teaching, and streamline operations.

Essential AI tools for better work — from wondertools.substack.com by Jeremy Caplan
My favorite tactics for making the most of AI — a podcast conversation

AI tools I consistently rely on (areas covered mentioned below)

Research and analysis
Communication efficiency
Multimedia creation

AI tactics that work surprisingly well

1. Reverse interviews
Instead of just querying AI, have it interview you. Get the AI to interview you, rather than interviewing it. Give it a little context and what you’re focusing on and what you’re interested in, and then you ask it to interview you to elicit your own insights.”

This approach helps extract knowledge from yourself, not just from the AI. Sometimes we need that guide to pull ideas out of ourselves.

Announcements from Nvidia and their GTC Conference this week

On 03/19/2025, in 21st century, A/V -- audio/visual, Amazon, Artificial Intelligence/Agents/LLMs/and Related, bots, business, change, changing business models, cloud-based computing / apps / other cloud-related, corporate / business world, creativity, data related items, design, digital audio, digital video, disruption, emerging technologies, Facebook / Meta Platforms, future, game-changing environment, generational differences, Google, graphics, human-computer interaction (HCI), ideas, innovation, intelligent systems, Microsoft, multimedia, Natural Language Processing (NLP), new business models, NVIDIA, pace of change, platforms, productivity / tips and tricks, society, technologies for your home, technology (general), tools, trends, United States, vendors, vision/possibilities, workplace, by Daniel Christian

From DSC:
Look out Google, Amazon, and others! Nvidia is putting the pedal to the metal in terms of being innovative and visionary! They are leaving the likes of Apple in the dust.

The top talent out there is likely to go to Nvidia for a while. Engineers, programmers/software architects, network architects, product designers, data specialists, AI researchers, developers of robotics and autonomous vehicles, R&D specialists, computer vision specialists, natural language processing experts, and many more types of positions will be flocking to Nvidia to work for a company that has already changed the world and will likely continue to do so for years to come.

NVIDIA just shook the AI and Robotic world at NVIDIA GTC 2025.

CEO Jensen Huang announced jaw-dropping breakthroughs.

Here are the top 11 key highlights you can’t afford to miss: (wait till you see no 3) pic.twitter.com/domejuVdw5

— The AI Colony (@TheAIColony) March 19, 2025

NVIDIA’s AI Superbowl — from theneurondaily.com by Noah and Grant
PLUS: Prompt tips to make AI writing more natural

That’s despite a flood of new announcements (here’s a 16 min video recap), which included:

A new architecture for massive AI data centers (now called “AI factories”).
A physics engine for robot training built with Disney and DeepMind.
A partnership with GM to develop next-gen vehicles, factories and robots.
A new Blackwell chip with “Dynamo” software that makes AI reasoning 40x faster than previous generations.
A new “Rubin” chip slated for 2026 and a “Feynman” chip set for 2028.

For enterprises, NVIDIA unveiled DGX Spark and DGX Station—Jensen’s vision of AI-era computing, bringing NVIDIA’s powerful Blackwell chip directly to your desk.

Nvidia Bets Big on Synthetic Data — from wired.com by Lauren Goode
Nvidia has acquired synthetic data startup Gretel to bolster the AI training data used by the chip maker’s customers and developers.

Nvidia, xAI to Join BlackRock and Microsoft’s $30 Billion AI Infrastructure Fund — from investopedia.com by Aaron McDade
Nvidia and xAI are joining BlackRock and Microsoft in an AI infrastructure group seeking $30 billion in funding. The group was first announced in September as BlackRock and Microsoft sought to fund new data centers to power AI products.

Nvidia CEO Jensen Huang says we’ll soon see 1 million GPU data centers visible from space — from finance.yahoo.com by Daniel Howley
Nvidia CEO Jensen Huang says the company is preparing for 1 million GPU data centers.

Nvidia stock stems losses as GTC leaves Wall Street analysts ‘comfortable with long term AI demand’ — from finance.yahoo.com by Laura Bratton
Nvidia stock reversed direction after a two-day slide that saw shares lose 5% as the AI chipmaker’s annual GTC event failed to excite investors amid a broader market downturn.

Microsoft, Google, and Oracle Deepen Nvidia Partnerships. This Stock Got the Biggest GTC Boost. — from barrons.com by Adam Clark and Elsa Ohlen

The 4 Big Surprises from Nvidia’s ‘Super Bowl of AI’ GTC Keynote — from barrons.com by Tae Kim; behind a paywall

AI Super Bowl. Hi everyone. This week, 20,000 engineers, scientists, industry executives, and yours truly descended upon San Jose, Calif. for Nvidia’s annual GTC developers’ conference, which has been dubbed the “Super Bowl of AI.”

20 AI Agent Examples in 2025 — from autogpt.net

AI Agents are now deeply embedded in everyday life and?quickly transforming industry after industry. The global AI market is expected to explode up to $1.59 trillion by 2030! That is a?ton of intelligent agents operating behind the curtains.

That’s why in this article, we explore?20 real-life AI Agents that are causing a stir today.

Top 100 Gen AI apps, new AI video & 3D — from eatherbcooper.substack.com by Heather Cooper
Plus Runway Restyle, Luma Ray2 img2vid keyframes & extend

?In the latest edition of Andreessen Horowitz’s “Top 100 Gen AI Consumer Apps,” the generative AI landscape has undergone significant shifts.

Notably, DeepSeek has emerged as a leading competitor to ChatGPT, while AI video models have advanced from experimental stages to more reliable tools for short clips. Additionally, the rise of “vibecoding” is broadening the scope of AI creators.

The report also introduces the “Brink List,” highlighting ten companies poised to enter the top 100 rankings.?

AI is Evolving Fast – The Latest LLMs, Video Models & Breakthrough Tools — from heatherbcooper.substack.com by Heather Cooper
Breakthroughs in multimodal search, next-gen coding assistants, and stunning text-to-video tech. Here’s what’s new:

I do these comparisons frequently to measure the improvements in different models for text or image to video prompts. I hope it is helpful for you, as well!

I included 6 models for an image to video comparison:

Pika 2.1 (I will do one with Pika’s new 2.2 model soon)
Adobe Firefly Video
Runway Gen-3
Kling 1.6
Luma Ray2
Hailuo I2V-01

?Video Model Comparison: Image to video

6 Models included:

• Pika 2.1
• Adobe Firefly
• Runway Gen-3
• Kling 1.6
• Luma Ray2
• Hailuo T2V-01

This time I used an image generated with Magnific’s new Fluid model ( Google DeepMind’s Imagen + Mystic 2.5 ), and the same… pic.twitter.com/rH1gRbhynB

— Heather Cooper (@HBCoop_) February 19, 2025

Why Smart Companies Are Granting AI Immunity to Their Employees — from builtin.com by Matt Almassian
Employees are using AI tools whether they’re authorized or not. Instead of cracking down on AI usage, consider developing an AI amnesty program. Learn more.

But the smartest companies aren’t cracking down. They’re flipping the script. Instead of playing AI police, they’re launching AI amnesty programs, offering employees a safe way to disclose their AI usage without fear of punishment. In doing so, they’re turning a security risk into an innovation powerhouse.
…
Before I dive into solutions, let’s talk about what keeps your CISO or CTO up at night. Shadow AI isn’t just about unauthorized tool usage — it’s a potential dirty bomb of security, compliance and operational risks that could explode at any moment.
…
6 Steps to an AI Amnesty Program

Build your AI governance foundation.
Transform your IT department from gatekeeper to innovation partner.
Make AI education easily accessible.
Deploy your technical safety net.
Create an AI-positive culture.
Monitor, adapt and evolve.

A first-ever study on prompts… — from theneurondaily.com
PLUS: OpenAI wants to charge $20K a month to replace you?!

What they discovered might change how you interact with AI:

Consistency is a major problem. The researchers asked the same questions 100 times and found models often give different answers to the same question.
Formatting matters a ton. Telling the AI exactly how to structure its response consistently improved performance.
Politeness is… complicated. Saying “please” helped the AI answer some questions but made it worse at others. Same for being commanding (“I order you to…”).
Standards matter. If you need an AI to be right 100% of the time, you’re in trouble.

That’s also why we think you, an actual human, should always place yourself as a final check between whatever your AI creates and whatever goes out into the world.

Leave it to Manus
“Manus is a general AI agent that bridges minds and actions: it doesn’t just think, it delivers results. Manus excels at various tasks in work and life, getting everything done while you rest.”

From DSC:
What could possibly go wrong?!

AI Search Has A Citation Problem — from cjr.org (Columbia Journalism Review) by Klaudia Ja?wi?ska and Aisvarya Chandrasekar
We Compared Eight AI Search Engines. They’re All Bad at Citing News.

We found that…

Chatbots were generally bad at declining to answer questions they couldn’t answer accurately, offering incorrect or speculative answers instead.

Premium chatbots provided more confidently incorrect answers than their free counterparts.
Multiple chatbots seemed to bypass Robot Exclusion Protocol preferences.
Generative search tools fabricated links and cited syndicated and copied versions of articles.
Content licensing deals with news sources provided no guarantee of accurate citation in chatbot responses.

Our findings were consistent with our previous study, proving that our observations are not just a ChatGPT problem, but rather recur across all the prominent generative search tools that we tested.

5 new AI tools you’ll actually want to try — from wondertools.substack.com by Jeremy Kaplan
Chat with lifelike AI, clean up audio instantly, and reimagine your career

Hundreds of AI tools emerge every week. I’ve picked five new ones worth exploring. They’re free to try, easy to use, and signal new directions for useful AI.

Example:

Career Dreamer
A playful way to explore career possibilities with AI

Who does need college anymore? About that book title … — from Education Design Lab

As you may know, Lab founder Kathleen deLaski just published a book with a provocative title: Who Needs College Anymore? Imagining a Future Where Degrees Won’t Matter.

Kathleen is asked about the title in every media interview, before and since the Feb. 25 book release. “It has generated a lot of questions,” she said in our recent book chat. “I tell people to focus on the word, ‘who.’ Who needs college anymore? That’s in keeping with the design thinking frame, where you look at the needs of individuals and what needs are not being met.”

In the same conversation, Kathleen reminded us that only 38% of American adults have a four-year degree. “We never talk about the path to the American dream for the rest of folks,” she said. “We currently are not supporting the other really interesting pathways to financial sustainability — apprenticeships, short-term credentials. And that’s really why I wrote the book, to push the conversation around the 62% of who we call New Majority Learners at the Lab, the people for whom college was not designed.” Watch the full clip

She distills the point into one sentence in this SmartBrief essay: “The new paradigm is a ‘yes and’ paradigm that embraces college and/or other pathways instead of college or bust.”

What can colleges do moving forward?
In this excellent Q&A with Inside Higher Ed, Kathleen shares her No. 1 suggestion: “College needs to be designed as a stepladder approach, where people can come in and out of it as they need, and at the very least, they can build earnings power along the way to help afford a degree program.”

In her Hechinger Report essay, Kathleen lists four more steps colleges can take to meet the demand for more choices, including “affordability must rule.”

From white-collar apprenticeships and micro-credential programs at local community colleges to online bootcamps, self-instruction using YouTube, and more—students are forging alternative paths to GREAT high-paying jobs. (source)

Are Entry-Level Jobs Going Away? The Hidden Workforce Shift — from forbes.com by Dr. Diane Hamilton; via Ryan Craig

The problem is that these new roles demand a level of expertise that wasn’t expected from entry-level candidates in the past. Where someone might have previously learned on the job, they are now required to have relevant certifications, AI proficiency, or experience with digital platforms before they even apply.

Some current and emerging job titles that serve as entry points into industries include:

Digital marketing associate – This role often involves content creation, social media management, and working with AI-driven analytics tools.
Junior AI analyst – Employees in this role assist data science teams by labeling and refining machine learning datasets.
Customer success associate – Replacing traditional customer service roles, these professionals help manage AI-enhanced customer support systems.
Technical support specialist – While this role still involves troubleshooting software, it now often includes AI-driven diagnostics and automation oversight.

Several items re: teaching and learning within K-12 [edutopia.org]

On 03/08/2025, in collaboration, education, Emotion, engagement / engaging students, ideas, instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, participation, pedagogy, student-related, teachers, teaching & learning, United States, youth, by Daniel Christian

All of the articles listed below are from edutopia.org

4 Ways to Boost Students’ Self-Efficacy — by Tyler Rablin
These strategies help students see what they have learned so they believe they can be successful in school in the future.

Self-efficacy, on the other hand, focuses on outcomes to drive beliefs. In essence, self-efficacy involves intentionally providing students with evidence of early success to help them build the belief that they can be successful in the future.

Self-efficacy has been a powerful focus for me because it helps me to be more intentional as a teacher. It requires me to be mindful of how I structure assessments, feedback, etc., to provide students with evidence of their successes early on to help them see potential future successes.

Maintaining Students’ Focus in the Spring — by Miriam Plotinsky
Teachers can use these small ‘upgrades’ or tweaks to their regular practices to help keep students focused and involved.

As a recent MindShift article notes, “The second semester brings a lot of potential challenges to teachers’ regularly scheduled programming because of standardized testing, graduation events, and student burnout.” These challenges may be complex, but they are not insurmountable. With subtle shifts in practice, classrooms can remain safe and productive spaces—even in the spring.

She recommends a “coping jar” to help students identify moments of angst and manage their feelings. Fagell explains that when students find an effective coping mechanism, they write their idea on one side of a Popsicle stick and explain how it works on the other side. As students add ideas to the jar, they have an increased awareness of coping strategies and the importance of helping one another.

10 Picture Books That Showcase Collaboration — by Kristin Rydholm
These entertaining stories feature collaboration and social-emotional skills to highlight the benefit of working together to accomplish a goal.

Are you an early childhood teacher in search of relationship-building resources to help unify your classroom? Have I got a book list for you! In the verbiage of 1970s infomercials: “This collection has everything!” The main characters are early childhood students, the setting is the school, and each plot requires the class to work collaboratively. The characters are united in curiosity, determination, and mission to work on accomplishing projects together that they couldn’t possibly do alone.

What a 30-Day Break From AI Taught Me About My Teaching — by James Bedford
Using AI became second nature for this educator. A month without the tools gave him an opportunity to pause, reflect, and recalibrate.

My goal is to try to preserve the messy, creative core of what it means to be an educator: curiosity, critical thinking, and the grit and energy to solve problems without always resorting to shortcuts—technological or otherwise. My hope is that my students will do the same.

Unplug and reconnect: Challenge yourself and your students to embark on an AI detox. Step away from AI tools where possible, and rediscover the power of human creativity and independent thought. Start a journal to document the journey, exploring questions like “How does it feel to rely solely on my own intellect?” or “What challenges arise when AI isn’t there to assist?” This activity can foster resilience, raise self-awareness, and cultivate a deeper appreciation for the human capacity to think, create, problem-solve, and innovate.

Office tasks are being automated now, but nobody has answers on how education and worker upskilling should change. [Fain]

On 03/08/2025, in adult learning, Artificial Intelligence/Agents/LLMs/and Related, bots, business, career development, change, changing business models, cloud-based computing / apps / other cloud-related, colleges, community colleges, corporate / business world, corporate universities / corporate training, disruption, economics, emerging technologies, higher education, human-computer interaction (HCI), ideas, intelligent systems, leadership, learning ecosystem, legislatures / government / legal, lifelong learning, new business models, organizational change, pace of change, policy, productivity / tips and tricks, professional development, reinvent, research, skills, society, staying relevant, strategy, student-related, surviving, United States, universities, workplace, youth, by Daniel Christian

Blind Spot on AI — from the-job.beehiiv.com by Paul Fain
Office tasks are being automated now, but nobody has answers on how education and worker upskilling should change.

Students and workers will need help adjusting to a labor market that appears to be on the verge of a historic disruption as many business processes are automated. Yet job projections and policy ideas are sorely lacking.
…
The benefits of agentic AI are already clear for a wide range of organizations, including small nonprofits like CareerVillage. But the ability to automate a broad range of business processes means that education programs and skills training for knowledge workers will need to change. And as Chung writes in a must-read essay, we have a blind spot with predicting the impacts of agentic AI on the labor market.

“Without robust projections,” he writes, “policymakers, businesses, and educators won’t be able to come to terms with how rapidly we need to start this upskilling.”

Drive Continuous Learning: AI Integrates Work & Training — from learningguild.com by George Hanshaw

Imagine with me for a moment: Training is no longer confined to scheduled sessions in a classroom, an online module or even a microlearning you click to activate during your workflow. Imagine training being delivered because the system senses what you are doing and provides instructions and job aids without you having to take an action.

The rapid evolution of artificial intelligence (AI) and wearable technology has made it easier than ever to seamlessly integrate learning directly into the workflow. Smart glasses, earpieces, and other advanced devices are redefining how employees gain knowledge and skills by delivering microlearning moments precisely when and where they are needed.

AI plays a crucial role in this transformation by sensing the optimal moment to deliver the training through augmented reality (AR).

These Schools Are Banding Together to Make Better Use of AI in Education — from edsurge.com by Emily Tate Sullivan

Kennelly and Geraffo are part of a small team at their school in Denver, DSST: College View High School, that is participating in the School Teams AI Collaborative, a year-long pilot initiative in which more than 80 educators from 19 traditional public and charter schools across the country are experimenting with and evaluating AI-enabled instruction to improve teaching and learning.

The goal is for some of AI’s earliest adopters in education to band together, share ideas and eventually help lead the way on what they and their colleagues around the U.S. could do with the emerging technology.

“Pretty early on we thought it was going to be a massive failure,” says Kennelly of last semester’s project. “But it became a huge hit. Students loved it. They were like, ‘I ran to second period to build this thing.’”

Transactional vs. Conversational Visions of Generative AI in Teaching — from elmartinsen.substack.com by Eric Lars Martinsen
AI as a Printer, or AI as a Thought Partner

As writing instructors, we have a choice in how we frame AI for our students. I invite you to:

Experiment with AI as a conversation partner yourself before introducing it to students
Design assignments that leverage AI’s strengths as a thought partner rather than trying to “AI-proof” your existing assignments
Explicitly teach students how to engage in productive dialogue with AI—how to ask good questions, challenge AI’s assumptions, and use it to refine rather than replace their thinking
Share your experiences, both positive and negative, with colleagues to build our collective understanding of effective AI integration

3 items re: AI in general

On 02/26/2025, in Artificial Intelligence/Agents/LLMs/and Related, collaboration, Google, health, ideas, innovation, Open AI, organizational change, pace of change, platforms, research, science, tools, training / L&D, trends, United States, vendors, workplace, by Daniel Christian

You can now use Deep Research without $200 — from flexos.work

Accelerating scientific breakthroughs with an AI co-scientist — from research.google by Juraj Gottweis and Vivek Natarajan

We introduce AI co-scientist, a multi-agent AI system built with Gemini 2.0 as a virtual scientific collaborator to help scientists generate novel hypotheses and research proposals, and to accelerate the clock speed of scientific and biomedical discoveries.

Now decides next: Generating a new future — from Deloitte.com
Deloitte’s State of Generative AI in the Enterprise Quarter four report

There is a speed limit. GenAI technology continues to advance at incredible speed. However, most organizations are moving at the speed of organizations, not at the speed of technology. No matter how quickly the technology advances—or how hard the companies producing GenAI technology push—organizational change in an enterprise can only happen so fast.

Barriers are evolving. Significant barriers to scaling and value creation are still widespread across key areas. And, over the past year regulatory uncertainty and risk management have risen in organizations’ lists of concerns to address. Also, levels of trust in GenAI are still moderate for the majority of organizations. Even so, with increased customization and accuracy of models—combined with a focus on better governance— adoption of GenAI is becoming more established.

Some uses are outpacing others. Application of GenAI is further along in some business areas than in others in terms of integration, return on investment (ROI) and expectations. The IT function is most mature; cybersecurity, operations, marketing and customer service are also showing strong adoption and results. Organizations reporting higher ROI for their most scaled initiatives are broadly further along in their GenAI journeys.

6 Characteristics of an Education that Students Want — from gettingsmart.com by IDEA (School of Industrial Design, Engineering and Arts) Students in Tacoma Washington

As current high school students, we want:

Education for the Real World
Personalized and Flexible Education
Cultivating Agency
Creativity and Divergent Thinking
Joyful Learning and Community Building
Empathy and Emotional Growth

Also from gettingsmart.com

Diving into the Evidence: Virtual and Hybrid Models as High-Quality School Choice Options

Key Points

The Learning Accelerator is building an evidence base of what high-quality virtual and hybrid learning looks like and how it can be a catalyst for expanding access to powerful learning opportunities.
An analysis of 64 high-quality models revealed that virtual and hybrid learning occurs in various contexts, from state-based, fully-virtual programs to individual, hybrid schools and meets the needs of different student populations, including those underserved or disengaged by traditional education systems as well as looking for increased flexibility and course access.

Market scan: What’s possible in the current skills validation ecosystem? [eddesignlab.org]

On 02/20/2025, in Alternatives, assessment, business, career development, change, changing business models, credentialing, experimentation, future, game-changing environment, ideas, skills, training / L&D, vendors, workplace, by Daniel Christian

Market scan: What’s possible in the current skills validation ecosystem? — from eddesignlab.org
Education Design Lab provides an overview of emerging practices + tools in this 2025 Skills Validation Market Scan.

Employers and opportunity seekers are excited about the possibilities of a skills-based ecosystem, but this new process for codifying a person’s experiences and abilities into skills requires one significant, and missing, piece: Trust. Employers need to trust that the credentials they receive from opportunity seekers are valid representations of their skills. Jobseekers need to trust that their digital credentials are safe, accurate, and will lead to employment and advancement.

Our hypothesis
We posit that the trust needed for the validation of skills to be brought into a meaningful reality is established through a network of skills validation methods and opportunities. We also recognize that the routes through which an individual can demonstrate skills are as varied as the individuals themselves. Therefore, in order to equitably create a skills-based employment ecosystem, the routes by which skills are validated must be held together with common standards and language, but flexible enough to accommodate a multitude of validation practices.

The Learning & Development Global Sentiment Survey 2025 [Taylor]

On 02/20/2025, in 21st century, adult learning, Artificial Intelligence/Agents/LLMs/and Related, Asia, Augmented Reality (AR), Australia, business, Canada, change, CMS/LMS, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education technology, elearning, emerging technologies, Europe, experimentation, faculty/staff, game-changing environment, generational differences, global, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, K-12 related, learning, learning ecosystem, Learning Experience Design, learning preferences, lifelong learning, microlearning, personalized/customized learning, platforms, productivity / tips and tricks, skills, technology (general), training / L&D, trends, UK, United States, universities, vendors, Virtual Reality (VR) / worlds / learning, XR - extended reality, by Daniel Christian

The Learning & Development Global Sentiment Survey 2025 — from donaldhtaylor.co.uk by Don Taylor

The L&D Global Sentiment Survey, now in its 12th year, once again asked two key questions of L&D professionals worldwide:

What will be hot in workplace learning in 2025?
What are your L&D challenges in 2025?

For the obligatory question on what they considered ‘hot’ topics, respondents voted for one to three of 15 suggested options, plus a free text ‘Other’ option. Over 3,000 voters participated from nearly 100 countries. 85% shared their challenges for 2025.

The results show more interest in AI, a renewed focus on showing the value of L&D, and some signs of greater maturity around our understanding of AI in L&D.

Learning Ecosystems

Market scan: What’s possible in the current skills validation ecosystem? [eddesignlab.org]

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