learning ecosystem

The Course Is Dying as the Unit of Learning. Here’s why, and what’s replacing It [Hardman]

On 04/07/2026, in adult learning, corporate / business world, corporate universities / corporate training, emerging technologies, ideas, instructional design, intelligent systems, learning, learning agents, learning ecosystem, Learning Experience Design, productivity / tips and tricks, training / L&D, UK, workplace, by Daniel Christian

The Course Is Dying as the Unit of Learning — from drphilippahardman.substack.com by Dr Philippa Hardman
Here’s why, and what’s replacing It

What the Bleeding Edge Looks like in Practice
So what does “the new stack” actually look like when organisations lean into this? Here are four real patterns already in play.

Engineering: from engine courses to in-workflow AI coaching.
Product development: from courses to craft-specific agents.
Compliance: from annual course to nudge systems.|
Enablement systems, not catalogues.

…

The quest to build a better AI tutor [Barshay]

On 04/06/2026, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, digital learning, education, education technology, emerging technologies, engagement / engaging students, future, game-changing environment, generational differences, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning theories, online learning, participation, personalized/customized learning, research, student-related, teachers, technologies for your home, United States, universities, by Daniel Christian

The quest to build a better AI tutor — from hechingerreport.org by Jill Barshay
Researchers make progress with an older ed tech idea: personalized practice

One promising idea has less to do with how an AI tutor explains concepts and more with what it asks students to practice next.

A team at the University of Pennsylvania, which included some AI skeptics, recently tested this approach in a study of close to 800 Taiwanese high school students learning Python programming. All the students used the same AI tutor, which was designed not to give away answers.

But there was one key difference. Half the students were randomly assigned to a fixed sequence of practice problems, progressing from easy to hard. The other half received a personalized sequence with the AI tutor continuously adjusting the difficulty of each problem based on how the student was performing and interacting with the chatbot.

The idea is based on what educators call the “zone of proximal development.” When problems are too easy, students get bored. When they’re too hard, students get frustrated. The goal is to keep students in a sweet spot: challenged, but not overwhelmed.

The researchers found that students in the personalized group did better on a final exam than students in the fixed problem group. The difference was characterized as the equivalent of 6 to 9 months of additional schooling, an eye-catching claim for an after-school online course that lasted only five months.
…
To address this, Chung’s team combined a large language model with a separate machine-learning algorithm that analyzes how students interact with the online course platform — how they answer the practice questions, how many times they revise or edit their coding, and the quality of their conversations with the chatbot — and uses that information to decide which problem to serve up next.

Two items re: teaching at the K-12 level in Michigan

On 04/06/2026, in career development, education, education reform, K-12 related, learning ecosystem, Michigan, neurodivergent/special needs, teachers, by Daniel Christian

Michigan schools may be leaning harder on subs. See your district’s shift in teaching staff. — from mlive.com by Jackie Smith

School districts across Michigan could be increasingly leaning on new and substitute teachers in the classroom, according to the latest K-12 staffing data tracked by the state.

Michigan’s Center for Educational Performance and Information updated staffing counts for districts through the current 2025-26 school year in late March, and the numbers largely confirm trends illustrated in other datasets.

The total number of teachers is on the rise ? with fewer sticking around more than a handful of years ? even as student enrollment goes down, and districts are continuing to use subs to fill in the gaps.

.

From DSC:
One of our daughters obtained the credentials to teach in the elementary schools of Michigan. She was a very relational teacher and she taught at several schools over several years, but the straw that broke the camel’s back was when she taught at a school where:

They would have to evacuate the classrooms at times if a student was going through the roof (emotion-wise)
The students hit the principal
The students often didn’t listen to or obey her instructions — which constantly tested her patience and drained her energy
Many of the parents were not on the same team as the teachers — for a variety of complex reasons
…and for other reasons as well.

The system was discouraging. It was too much to bear. So the system lost another good teacher.

Also see:

Michigan’s teacher shortage could be stabilizing, but data shows there’s a catch — from mlive.com by Jackie Smith

Michigan’s K-12 teacher workforce could be stabilizing, but schools across the state may be increasingly relying on educators working virtually or across multiple districts and those who are not fully certified, according to the latest data.

The Education Policy Innovation Collaborative (EPIC) at Michigan State University released its 2026 teacher shortage report earlier this month, which tracks hiring and vacancy trends, as well as what subjects are particularly impacted by fluctuations.

.

.

Special education positions see the biggest vacancy rates
The vacancy rate for special education teachers is nearly double is nearly double the statewide average overall.

According to the report, more than 5% of special ed full-time equivalent positions were vacant in fall 2024.

MSU’s Education Policy Innovation Collaborative attributed at least some of that to the higher attrition from teachers that special ed positions see compared to other disciplines.

The Most Obvious Fix in Education — from michelleweise.substack.com by Michelle Weise
The No-Brainer Nobody’s Doing

We know what better learning looks like. We have known for a while.

Real problems. Real roles. Built-in conflict. Conditions that simulate the messiness of actual work. Reflection that asks not just what did you do but who are you becoming? These are not radical ideas. They are not untested theories. The research is clear, employers are asking for exactly this, and students consistently report that the closest they got to real work was the most valuable part of their education.

So why aren’t universities doing more of it?

That is the question worth sitting with — because the gap between what we know and what we do is not a knowledge problem. It is a design problem, an incentive problem, and if we’re being candid, a courage problem.

Because in the meantime, learners are paying the price. They graduate credentialed but untested. They enter labor markets that want proof of performance and experience, not transcripts. They lack the networks, the exposure, and the scar tissue that comes from navigating real work.

Also relevant, see:

The Apprenticeship (R)Evolution — from insidehighered.com by Sara Weissman and Colleen Flaherty
Once synonymous with hard hats and tool belts, apprenticeships are branching into health care, artificial intelligence, business services, advanced manufacturing and more.

Such programs also challenge stereotypes about apprenticeships—namely that they’re only in construction, an earn-and-learn catchall for traditionally apprenticeable occupations such as bricklayer, plumber, carpenter and electrician. In integrating robotics, automation, machining and logistics, the manufacturing development program is a bridge to understanding how apprenticeships are evolving to support some of the nation’s fastest-growing industries. These include advanced manufacturing, but also health care, information technology and other business services.

AI and the Law: What Educators Need to Know About Responsible Use in a Rapidly Changing Landscape — from rdene915.com by Dr. Rachelle Dené Poth, JD

As both an attorney and educator who has spent more than eight years researching, teaching, presenting, and writing about AI, I have worked with schools across K–12 and higher education that are navigating these exact questions. The legal implications of AI are not barriers to innovation, but I consider them to serve as guardrails that assist schools with adopting technology responsibly. The key is protecting students, educators, and institutions and staying informed. Understanding the legal landscape and any potential legal implications as a result of the use of AI in classrooms helps schools move forward with confidence rather than hesitation.

Sections of Rachelle’s posting include:

Why AI and the Law Matter in Education
Key Laws That Shape AI Use in Schools
Data Privacy and Vendor Responsibility
Transparency Builds Trust With Students and Families
Accessibility, Equity, and Emerging Legal Considerations
Teaching Digital Citizenship With AI Literacy
Supporting Schools and Organizations Through AI and Legal Guidance
Moving Forward With Confidence

Hidden in Plain Sight: How Microschools Can Unlock the Power of Public Libraries [Blassingame & Flynn]

On 03/25/2026, in education, education reform, engagement / engaging students, learning, learning ecosystem, Learning Experience Design, learning hubs & pods & microschooling, learning spaces, library / librarians, parents/guardians, society, student-related, teachers, United States, youth, by Daniel Christian

Hidden in Plain Sight: How Microschools Can Unlock the Power of Public Libraries — from microschoolingcenter.org by Tiffany Blassingame & Erin Flynn

The Library as a Learning Campus
Many microschool founders are wrestling with the same core challenge: how do you provide students with enriching, hands-on experiences when you’re working with a small team and a lean budget? Erin’s answer is deceptively simple — walk through the library’s front door.

Modern public libraries are far more than book repositories. Most educators walk past an entire ecosystem of free resources without realizing what’s available. Need printing, computers, or digital tools? Libraries offer them at little or no cost. Looking for hands-on science programming? Many branches host makerspaces and science stations built for exactly that kind of exploration. Need a space to hold a small class, workshop, or seminar? Bookable collaboration rooms are often just a phone call away.

Beyond the physical infrastructure, libraries frequently offer life skills programming — resume writing, financial literacy, job readiness — that can support the families surrounding a microschool, not just its students. And in some branches, social workers are embedded on site, providing the kind of wraparound support that few microschools could ever access on their own.

Libraries are also deeply invested in expanding their community reach. A microschool brings exactly the kind of engaged, mission-driven partnership that many branches are actively seeking. The relationship benefits both sides from day one.

The AI-based learning platform of the future will be constantly doing this

On 03/24/2026, in 21st century, 24x7x365 access, analytics, Artificial Intelligence/Agents/LLMs/and Related, business, career development, change, cloud-based computing / apps / other cloud-related, Daniel S. Christian, data related items, education technology, emerging technologies, future, game-changing environment, generational differences, global / globalization, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, lifelong learning, more voice more choice more control, personalized/customized learning, platforms, reinvent, skills, society, student-related, surviving, tools, United States, workplace, by Daniel Christian

From DSC:
I have been proposing that the AI-based learning platform of the future will be constantly doing this — every single day. It will know what the in-demand skills are — at any given moment in time. It will then be able to direct you to resources that will help you gain those skills. Though in my vision, the system is querying actual/open job descriptions, not analyzing learning data from enterprise learners. Perhaps I should add that to the vision.

Coursera’s Job Skills Report 2026: Top skills for your students — from coursera.org

The Job Skills Report 2026 analyzes learning data from more than 6 million enterprise learners to identify the future job skills organizations need most. It’s designed for HR and L&D leaders; data, IT, and software & product development leaders; higher education administrators; and government agencies seeking actionable insights on workforce skills trends and AI-driven transformation.
…
Drawing on data from 6 million enterprise learners across nearly 7,000 organizations, the Job Skills Report 2026 guides you through the skills reshaping the global economy. This year’s analysis spans Data, IT, and Software & Product Development—and the Generative AI skills becoming essential for every role.

Are we not shooting ourselves in the foot with AI and recent college graduates? [Christian]

On 03/24/2026, in 21st century, adjunct faculty, apprenticeships, Artificial Intelligence/Agents/LLMs/and Related, business, career development, change, changing business models, colleges, community colleges, corporate / business world, dangers of the status quo, Daniel S. Christian, emerging technologies, experimentation, faculty/staff, game-changing environment, higher education, human-computer interaction (HCI), intelligent systems, internships, learning ecosystem, liberal arts, marketplaces, parents/guardians, productivity / tips and tricks, reinvent, skills, society, sociology, strategy, student-related, teaching & learning, technologies for your home, tools, trends, United States, universities, vendors, vocational / trades, workplace, youth, by Daniel Christian

From DSC:
The types of postings/articles (such as the one below) make me ask, are we not shooting ourselves in the foot with AI and recent college graduates? If the bottom rungs continue to disappear, internships and apprenticeships can only go so far. There aren’t enough of them — especially valuable ones. So as this article points out, there will be threats to the long-term health of our talent pipelines unless we can take steps to thwart those impacts — and to do so fairly soon.

To me…vocational training and jobs are looking better all the time — i.e., plumbers, carpenters, electricians, mechanics, and more.

Can New Graduates Compete With AI? — from builtin.combyRichard Johnson
The increasing adoption of AI automation is compressing early-career jobs. How should new graduates get a foothold in the economy now?

Summary: AI is hollowing out entry-level roles by automating routine tasks, eliminating a rung on the career ladder. New graduates face intense competition and a rising skill floor. While firms gain short-term productivity, they risk a long-term talent shortage by eliminating junior training grounds.

Conversations about AI have covered all grounds: hype, fear and slop. But while some roll their eyes at yet another automation headline, soon?to?be graduates are watching the labor market with a very different level of urgency. They’re entering a world where the old paradox of needing experience to get experience is colliding with a new reality: AI is absorbing the standardized, routine tasks that once defined entry?level work. The result isn’t just a shift in job descriptions or skill-requirements, but rather a structural reshaping of the career pipeline.

Entry-level workers face an outsized disruption to their long-term career trajectories. They have the least buffer to adapt given their lack of relevant job market experience and heightened financial pressure to secure a job quickly with the student-debt repayment periods for recent graduates looming.

Momentum early in one’s career matters, and the first job on a resume shapes future compensation bands and opportunities. It also serves as a signal for perceived specialization or, at minimum, interest. Losing that foothold has compounding effects to one’s career ladder.

Also relevant/see:

New Anthropic Institute to Study Risks and Economic Effects of Advanced AI — from campustechnology.com by John K. Waters

Key Takeaways

Anthropic has launched the Anthropic Institute, a new research effort focused on the biggest societal challenges posed by more powerful AI systems.
The institute will study how advanced AI could affect the economy, the legal system, public safety, and broader social outcomes.
Anthropic co-founder Jack Clark will lead the institute in a new role as the company’s head of public benefit.
The new unit brings together Anthropic’s existing red-teaming, societal impacts, and economic research work, while adding new hires and new research areas.

“Agentic AI isn’t coming for training programs. It’s coming for the trainers who can’t adapt.” [Martin] + other items re: AI in our learning ecosystems

On 03/23/2026, in Artificial Intelligence/Agents/LLMs/and Related, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, ethics, experimentation, future, game-changing environment, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, morals/values, platforms, productivity / tips and tricks, tools, training / L&D, UK, universities, vendors, workplace, by Daniel Christian

Here is Chris Martin’s posting on LinkedIn.com:

Here is Dominik Mate Kovacs’ posting on LinkedIn.com:

The AI ‘hivemind’: Why so many student essays sound alike — from hechingerreport.org by Jill Barshay
A study of more than 70 large language models found similar answers to brainstorming and creative writing prompts

The answers were frequently indistinguishable across different models by different companies that have different architectures and use different training data. The metaphors, imagery, word choices, sentence structures — even punctuation — often converged. Jiang’s team called this phenomenon “inter-model homogeneity” and quantified the overlaps and similarities. To drive the point home, Jiang titled her paper, the “Artificial Hivemind.” The study won a best paper award at the annual conference on Neural Information Processing Systems in December 2025, one of the premier gatherings for AI research.

AI Has No Moral Compass. Do You? — from michelleweise.substack.com by Michelle Weise & Dana Walsh
Why the Age of AI Demands We Take Character Formation Seriously

Here’s something to chew on:

Anthropic, the company behind Claude — a chatbot used by 30 million users per month — has exactly one person (whom we know of) working on AI ethics. One. A young Scottish philosopher is doing the vital work of training a large language model to discern right from wrong.

I don’t say this to shame Anthropic. In fact, Anthropic appears to be the only company (that we know of) being explicit about the moral foundations and reasoning of its chatbot. Hundreds of millions of users worldwide are leveraging tools from other LLMs that do not appear to have an explicit moral compass being cultivated from within.

I raise this because this is yet another example of where we are: extraordinary technical power advancing without an equally strong moral infrastructure to support it.

Why do we keep producing people who are skilled but not wise?

Across the divide: reimagining faculty-staff collaboration in higher education — from timeshighereducation.com by Saskia van de Gevel
Academic units do best when they harness different viewpoints – from field scientists and curriculum designers to extension professionals – to drive innovation and relevance. Saskia van de Gevel offers proactive advice

Universities are not sustained by individual leaders or isolated units. They are sustained by teams of people who bring different kinds of expertise to a shared mission. When faculty and professional staff collaborate as genuine partners – aligned around outcomes, clear about roles and committed to mutual respect – institutions become more resilient, innovative and effective.

Also from timeshighereducation.com, see:

The five levels of learning designer support — from timeshighereducation.com by Daniel Searson
Learning designers and academics may have different expectations when it comes to collaborating on course design. Here’s how a five-point scale can help
Harness the power of your university librarian in the age of information chaos — from timeshighereducation.com by Ben Meunier
Find out how to tap the mine of knowledge your university library has, for trustworthy research sources, data expertise and information literacy advice
How employability teams can strengthen academic programmes — from timeshighereducation.com by Hanene Duprat
Working like recruitment partners, rather than just career advisers, can help align teaching with industry needs, writes Hanene Duprat
Excerpts:

Again, we don’t send them 200 CVs. We might send 20, but they’re meticulously shortlisted. The employer saves time, the student feels they are being taken seriously and trust builds quickly on both sides.

And because we work closely with employers, we learn something universities often struggle to find out early enough: what the market is asking for now.

What academics need to know: we can’t do this without you
If I could say one thing to academic colleagues anywhere, it’s that employability can’t sit next to the curriculum. It has to live with it.

The benefits of engaging third space practitioners in curriculum development — from timeshighereducation.com by Steve Briggs
Third space practitioners are often overlooked in the curriculum development process, to everyone’s detriment. Here’s a look at the viewpoints they can offer and how to engage them better
Teaching deaf, deafblind and hard-of-hearing students: practical steps that benefit everyone — from timeshighereducation.com by Annelies Kusters
When educators design communication to work across multiple modes from the outset, classrooms become more accessible – and more effective – for everyone, says Annelies Kusters

Check out some of the features an AI-powered LMS provides you with!

On 03/23/2026, in 21st century, 24x7x365 access, adult learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, assessment, business, career development, cloud-based computing / apps / other cloud-related, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, educational games / serious games, emerging technologies, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, languages and translation, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, platforms, skills, training / L&D, United States, workplace, by Daniel Christian

Here is Pradnya’s posting out on LinkedIn.com:

From DSC…note these excerpts from Pradnya’s posting:

I’m not manually assigning 400 people anymore ? They’re actually taking relevant courses now
Shows me the data ? Suggests courses to fix it ? I look like a strategic genius
Completion rates up 34% ? Nobody’s “stuck” anymore

Pradnya links to a page out at ParadisoSolutions.com. Check out some of the functionality this AI-powered system provides:

Also from Pradnya, see this posting:

5 Tech Strategies to Enhance Student-Led Learning — from edutopia.org by Rachelle Dené Poth
While technology has potential to distract students, it can also boost engagement and help them actively demonstrate their learning.

Over the years, I have learned that engagement doesn’t happen simply by adding technology. It increases when we give students more ownership by designing experiences that allow them to build, collaborate, reflect, and teach one another. Depending on how we use it, technology can either amplify engagement or distract from it. Technology can help build students’ confidence in learning, but it can also lead to passivity. When technology is used to amplify students’ voice, choice, and ownership in learning, their engagement will naturally increase.

Here are five strategies and some digital tools that can be used across grade levels and content areas to boost student engagement, build confidence, foster collaboration, and support meaningful learning experiences.

Project-Based Learning (PBL)
Implementing a PBL Design Challenge in Your School — from edutopia.org by Lisa Beck & Kim Mishkin
A weeklong, schoolwide project-based learning challenge encourages students to try to tackle meaningful problems.

For the past five years, Hudson Lab School (HLS), a K–8 progressive school committed to project?based learning (PBL), has kicked off each school year with an exciting tradition: Design Challenge Week. In five days, students take on a real?world problem, explore each phase of the design process, and present what they created and learned to an authentic audience. Design Challenge Week introduces concepts that students will revisit all year and offers a model for how any educational setting could experiment with PBL on a smaller scale. Even short, well?designed challenges can lead to deeply engaged learning experiences.

How to Give Students Directions They Actually Understand — from edutopia.org by Mary Davenport
Making small changes in your instructions can have a significant impact on students’ understanding and engagement.

No more than a minute after you’ve provided instruction on the day’s targeted content and given students directions for their next task, some brave soul utters the line that brings tired teachers to their knees: “What are we supposed to be doing?”

None of us want this. As teachers, we all want students to fully understand what they’re supposed to be doing so that they can be successful as they do it.

Good news: A few small changes in how we give directions can be the lever that boosts student understanding and engagement.

Faster, thinner: Colleges are swiftly trimming a B.A. degree to three years [Marcus]

On 03/18/2026, in 21st century, change, changing business models, colleges, cost of getting a degree, higher education, learning ecosystem, parents/guardians, reinvent, staying relevant, surviving, United States, universities, by Daniel Christian

Faster, thinner: Colleges are swiftly trimming a B.A. degree to three years — from hechingerreport.org by Jon Marcus
Needing to fill seats and facing demands for faster routes to jobs, more colleges are shortening degree programs

That’s an option being made available by colleges and universities with astonishing speed — especially in the notoriously slow-moving world of higher education: an entirely new kind of bachelor’s degree muscling into the space between the traditional four-year version and the two-year associate degree. Three-year degrees have existed, but they simply jammed those 120 credits into fewer semesters.

At least one school, Ensign College in Utah, will convert all of its bachelor’s degrees into the new, reduced-credit, three-year kind, it announced in February. Nearly 60 other universities and colleges are planning, considering or have already launched them in some disciplines. States including Indiana have required or are considering requiring their public universities to add reduced-credit bachelor’s degrees. Even graduate and professional schools are being pressed to shorten the duration of degrees.

Even more than employers, consumers have lost patience with the time and expense it takes to get a four-year bachelor’s degree, according to the advocates and politicians pushing schools to offer them. More than half of students who start down the conventional four-year path today take even longer than four years, according to the Department of Education.

Also from Jon Marcus, see:

Behind ideological attacks on higher ed, surprising bipartisan reforms are happening— from hechingerreport.org by Jon Marcus
Long sought by both the right and left, some changes could protect consumers and lower costs

“The Future of College in an AI World” [Selingo] + other items re: AI in our learning ecosystems

On 03/18/2026, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, bots, colleges, communities of practice, community colleges, corporate / business world, digital learning, emerging technologies, experimentation, faculty/staff, future, future of higher education, game-changing environment, generational differences, Google, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, K-12 related, leadership, learning ecosystem, liberal arts, Michigan, multimedia, music, Open AI, student-related, teachers, teaching & learning, tools, United States, universities, vendors, by Daniel Christian

The Future of College in an AI World — from linkedin.com by Jeff Selingo
In today’s issue: The tension over AI in higher ed; application inflation continues and testing is back; what’s the future of the original classroom technology, the learning management system.

Hundreds of higher ed and industry leaders gathered Tuesday for a summit
on AI and the future of learning at the University of Michigan.
.

Conversations like the one we had at Michigan this week are necessary, but the action rarely matches the ambition.

We say the humanities are the operating system of an AI world, yet students and parents don’t believe it. They’re voting with their feet toward STEM, business, and narrowly tailored majors they believe will lead to a job.
Meanwhile, colleges are quietly eliminating the very humanities degrees the panelists were championing, employers are cutting the entry rungs off the career ladder for new graduates, and as Podium Education co-founder Christopher Parrish reminded us yesterday, there’s a yawning gap between demand for experience and the internships that actually exist.

AI Music Generators: Teaching With These Catchy AI Tools — from techlearning.com by Erik Ofgang
AI music generators are getting better and better, and there are more applications in the classroom as a result.

Are All AI Music Generators More Or Less The Same?
No. After experimenting with a few various free ones, I found a wide range of quality with the same prompts.

Gemini is the only one I’d currently recommend. It’s user-friendly but limited and only creates 30-second clips. Other music generators could potentially outperform Gemini with prompt adjustments. The ones I tried did better with the instrumentals but struggled more with the lyrics, and that kind of defeated the purpose of the tool for me.

ChatDOC: Teaching With The AI Summarizing Tool — from techlearning.com by Erik Ofgang
ChatDOC lets users turn any PDF into an AI chatbot that can summarize the text, answer questions, and generate quizzes.

What Is ChatDOC?
ChatDOC is an AI designed to help users interact with PDFs of various types, be it research papers, short stories, or chapters from larger works. Users upload a PDF and then have the opportunity to “chat” with that document, that is speak with a chatbot that bases its answers off of the uploaded text.

ChatDOC can perform tasks such as provide a short summary, search for specific terms, explain the overall theme if it’s a work of literature, or unpack the science in a research paper.

Other similar tools are out there, but ChatDOC is definitely one of the better PDF readers I’ve used. Its free version is quick and easy-to-use, and delivers on its promise of providing an AI that can discuss a given document with users and even quiz them on it.

From AI access to workforce readiness — from chieflearningofficer.com by Johnny Hamilton, Amy Stratbucker, & Brad Bigelow
Is your workforce using the right tool with an outdated mindset and playbook? Why old playbooks fall short — and what learning leaders must do next.

The leadership opportunity
Organizations do not need to predict every future AI capability. They need systems that allow people to explore with curiosity, practice safely, reflect deeply and adapt continuously — starting with what they already have and extending as capabilities evolve.

For CLOs, this is a moment to lead from the center of change — designing workforce readiness that keeps pace with accelerating technology while making work more rewarding for employees and more valuable for the organization. That is how AI moves from the promise of transformation to demonstrated readiness and, ultimately, from promise to performance.

Addendums on 3/19/26:
How to Build Practice-Based Learning Activities with AI — from drphilippahardman.substack.com by Dr Philippa Hardman
Four evidence-based methods for designing, building & deploying active learning activities with your favourite LLM

Most L&D teams are using AI to make content faster. The real opportunity is using it as a practice engine.

The Synthesia 2026 AI in L&D Report f2026 AI in L&D Report found that the fastest-growing areas of planned AI adoption aren’t in content creation — they’re in assessments and simulations (36%), adaptive pathways (33%), and AI tutors (29%). In other words: L&D teams are starting to realise that the most powerful use of AI isn’t producing learning materials. It’s creating environments where learners actually practise.

And you can build these right now — no dev team, no custom platform, no code. Each method below includes a prompt you can paste into your preferred AI tool to generate a working interactive prototype: a self-contained practice activity with a briefing screen, a live AI interaction, and a debrief — all running in the browser, ready to share with stakeholders or deploy to learners.

OpenAI Adds Interactive Math and Science Learning Tools to ChatGPT — from campustechnology.com by Rhea Kelly

Key Takeaways

ChatGPT adds interactive learning tools: OpenAI introduced interactive math and science visualizations that allow users to explore formulas, variables, and relationships in real time.
The tool currently covers over 70 core math and science topics and is aimed initially at high school and college-level learners.
Users can adjust variables, manipulate formulas, and immediately see how changes affect graphs and outcomes.

2026 Survey of College and University Presidents — from insidehighered.com, Liaison, & Jenzabar
Download and explore exclusive insights from the 2026 Survey of College and University Presidents to see how these campus leaders are responding to financial volatility, political interference, rapid advances in AI, and where they believe the biggest risks and opportunities lie as they look toward 2030.

In this year’s survey, presidents share perspectives on:

How presidents assess the second Trump administration’s impact on higher education
Which emerging or evolving educational models they plan to add or expand in the coming years
How effective they believe higher education has been in shaping national conversations arout AI
The issues presidents expect will have the greatest impact on higher education by 2030

Learning Ecosystems

The Course Is Dying as the Unit of Learning. Here’s why, and what’s replacing It [Hardman]

Across the divide: reimagining faculty-staff collaboration in higher education [van de Gevel]; plus several other items from timeshighereducation.com

Faster, thinner: Colleges are swiftly trimming a B.A. degree to three years [Marcus]

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