Live experiential learning: ILT as usual?
Is live experiential learning, or LEL, just a surface rebranding of traditional instructor-led training?
Absolutely not. In fact, LEL is as distant from traditional ILT as Sleep No More is from traditional theater.
Instead of sitting politely, nodding along — or nodding off — as an instructor carefully reads aloud from their slide deck, learners roam about, get their hands dirty and focus on the things that matter to them (yes, even if that means they don’t get to every topic or encounter them in the way we would have liked).
In short, LEL has the ability to shake up your learners, in a good way. And when they realize that this isn’t learning as usual, they land in a mental space that makes them more curious and receptive.
So what does this look like, really? And how does it work?
As learning and development leaders, you can create fun, engaging and challenging exercises for teams that develop these important characteristics and improve numerous markers of team efficacy. Exercises to improve team performance should be focused on four themes: negotiation, agreement, coordination and output. In this article, I’ll discuss each type of exercise briefly, then how I use a framework to create challenging and engaging exercises to improve collaborative problem-solving and performance on my teams.
Marketers have spent billions of dollars testing what works—and their insights can revolutionize microlearning. By borrowing from marketing’s best strategies, L&D professionals can create microlearning that cuts through the noise, engages learners, and drives real behavior change.
If marketing can make people remember a product, L&D can make people remember a skill.
.Get the 2025 Student Guide to Artificial Intelligence — from studentguidetoai.org This guide is made available under a Creative Commons license by Elon University and the American Association of Colleges and Universities (AAC&U). .
Agentic AI is taking these already huge strides even further. Rather than simply asking a question and receiving an answer, an AI agent can assess your current level of understanding and tailor a reply to help you learn. They can also help you come up with a timetable and personalized lesson plan to make you feel as though you have a one-on-one instructor walking you through the process. If your goal is to learn to speak a new language, for example, an agent might map out a plan starting with basic vocabulary and pronunciation exercises, then progress to simple conversations, grammar rules and finally, real-world listening and speaking practice.
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For instance, if you’re an entrepreneur looking to sharpen your leadership skills, an AI agent might suggest a mix of foundational books, insightful TED Talks and case studies on high-performing executives. If you’re aiming to master data analysis, it might point you toward hands-on coding exercises, interactive tutorials and real-world datasets to practice with.
The beauty of AI-driven learning is that it’s adaptive. As you gain proficiency, your AI coach can shift its recommendations, challenge you with new concepts and even simulate real-world scenarios to deepen your understanding.
Ironically, the very technology feared by workers can also be leveraged to help them. Rather than requiring expensive external training programs or lengthy in-person workshops, AI agents can deliver personalized, on-demand learning paths tailored to each employee’s role, skill level, and career aspirations. Given that 68% of employees find today’s workplace training to be overly “one-size-fits-all,” an AI-driven approach will not only cut costs and save time but will be more effective.
This is one reason why I don’t see AI-embedded classrooms and AI-free classrooms as opposite poles. The bone of contention, here, is not whether we can cultivate AI-free moments in the classroom, but for how long those moments are actually sustainable.
Can we sustain those AI-free moments for an hour? A class session? Longer?
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Here’s what I think will happen. As AI becomes embedded in society at large, the sustainability of imposed AI-free learning spaces will get tested. Hard. I think it’ll become more and more difficult (though maybe not impossible) to impose AI-free learning spaces on students.
However, consensual and hybrid AI-free learning spaces will continue to have a lot of value. I can imagine classes where students opt into an AI-free space. Or they’ll even create and maintain those spaces.
Duolingo’s AI Revolution — from drphilippahardman.substack.com by Dr. Philippa Hardman What 148 AI-Generated Courses Tell Us About the Future of Instructional Design & Human Learning
Last week, Duolingo announced an unprecedented expansion: 148 new language courses created using generative AI, effectively doubling their content library in just one year. This represents a seismic shift in how learning content is created — a process that previously took the company 12 years for their first 100 courses.
As CEO Luis von Ahn stated in the announcement, “This is a great example of how generative AI can directly benefit our learners… allowing us to scale at unprecedented speed and quality.”
In this week’s blog, I’ll dissect exactly how Duolingo has reimagined instructional design through AI, what this means for the learner experience, and most importantly, what it tells us about the future of our profession.
Medical education is experiencing a quiet revolution—one that’s not taking place in lecture theatres or textbooks, but with headsets and holograms. At the heart of this revolution are Mixed Reality (MR) AI Agents, a new generation of devices that combine the immersive depth of mixed reality with the flexibility of artificial intelligence. These technologies are not mere flashy gadgets; they’re revolutionising the way medical students interact with complicated content, rehearse clinical skills, and prepare for real-world situations. By combining digital simulations with the physical world, MR AI Agents are redefining what it means to learn medicine in the 21st century.
4 Reasons To Use Claude AI to Teach — from techlearning.com by Erik Ofgang Features that make Claude AI appealing to educators include a focus on privacy and conversational style.
After experimenting using Claude AI on various teaching exercises, from generating quizzes to tutoring and offering writing suggestions, I found that it’s not perfect, but I think it behaves favorably compared to other AI tools in general, with an easy-to-use interface and some unique features that make it particularly suited for use in education.
Higher education is in a period of massive transformation and uncertainty. Not only are current events impacting how institutions operate, but technological advancement—particularly in AI and virtual reality—are reshaping how students engage with content, how cognition is understood, and how learning itself is documented and valued.
Our newly released 2025 EDUCAUSE Horizon Report | Teaching and Learning Edition captures the spirit of this transformation and how you can respond with confidence through the lens of emerging trends, key technologies and practices, and scenario-based foresight.
In many traditional school buildings, the design sends an unspoken message: “Sit down. Follow instructions. Stay within the lines.”
But imagine what students might believe about themselves and the world if their learning environment said instead:
“You belong here. Your ideas matter. Explore freely.”
For another item related to learning spaces, see:
Choosing the Right Technology for Today’s HyFlex Classroom — from edtechmagazine.com by Gaurav Bradoo Long-lasting adoption of the HyFlex learning modality means higher education institutions shouldn’t be afraid to invest in tools that can enhance the student experience.
The answer? Solutions built for quick and easy installation, designed to work across multiple platforms and equipped with remote update and troubleshooting features. Anything we can do to reduce the number of cords, components and required steps during installation will assist AV staff. Prioritizing user-friendly design will cut down on help tickets across the lifespan of a device, and choosing features such as remote update capability can streamline maintenance. The bottom line is that simplicity and ease of deployment are not nice-to-haves. They are essential.
I’ve visited universities where instructors are faced with control panels with laminated cheat sheets next to them. These panels are often overloaded, acting as the room system as well, and not designed with simplicity or teaching flow in mind as it relates to capturing and streaming content for HyFlex teaching.
Along the lines of learning and working/office spaces…I’d like to thank Daan van Rossum for this next article (below emphasis from DSC).Daan mentioned that:
In it, Phil introduces “Vibe Officing”—challenges the mandate-vs-flexibility debate with a third way: designing office spaces people want to return to, not because they’re told to, but because they actually enjoy being there.He also touches on how AI can enable personalized nudges to improve workplace journeys.
DC: THIS could unfortunately be the ROI companies will get from large investments in #AI — reduced headcount/employees/contract workers. https://t.co/zEWlqCSWzI
Duolingo will “gradually stop using contractors to do work that AI can handle,” according to an all-hands email sent by cofounder and CEO Luis von Ahn announcing that the company will be “AI-first.” The email was posted on Duolingo’s LinkedIn account.
According to von Ahn, being “AI-first” means the company will “need to rethink much of how we work” and that “making minor tweaks to systems designed for humans won’t get us there.” As part of the shift, the company will roll out “a few constructive constraints,” including the changes to how it works with contractors, looking for AI use in hiring and in performance reviews, and that “headcount will only be given if a team cannot automate more of their work.”
Something strange, and potentially alarming, is happening to the job market for young, educated workers.
According to the New York Federal Reserve, labor conditions for recent college graduates have “deteriorated noticeably” in the past few months, and the unemployment rate now stands at an unusually high 5.8 percent. Even newly minted M.B.A.s from elite programs are struggling to find work. Meanwhile, law-school applications are surging—an ominous echo of when young people used graduate school to bunker down during the great financial crisis.
What’s going on? I see three plausible explanations, and each might be a little bit true.
The new workplace trend is not employee friendly. Artificial intelligence and automation technologies are advancing at blazing speed. A growing number of companies are using AI to streamline operations, cut costs, and boost productivity. Consequently, human workers are facing facing layoffs, replaced by AI. Like it or not, companies need to make tough decisions, including layoffs to remain competitive.
Corporations including Klarna, UPS, Duolingo, Intuit and Cisco are replacing laid-off workers with AI and automation. While these technologies enhance productivity, they raise serious concerns about future job security. For many workers, there is a big concern over whether or not their jobs will be impacted.
Key takeaway: Career navigation has remained largely unchanged for decades, relying on personal networks and static job boards. The advent of AI is changing this, offering personalised career pathways, better job matching, democratised job application support, democratised access to career advice/coaching, and tailored skill development to help you get to where you need to be.Hundreds of millions of people start new jobs every year, this transformation opens up a multi-billion dollar opportunity for innovation in the global career navigation market.
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A.4 How will AI disrupt this segment? Personalised recommendations: AI can consume a vast amount of information (skills, education, career history, even youtube history, and x/twitter feeds), standardise this data at scale, and then use data models to match candidate characteristics to relevant careers and jobs. In theory, solutions could then go layers deeper, helping you position yourself for those future roles. Currently based in Amsterdam, and working in Strategy at Uber and want to work in a Product role in the future? Here are X,Y,Z specific things YOU can do in your role today to align yourself perfectly. E.g. find opportunities to manage cross functional projects in your current remit, reach out to Joe Bloggs also at Uber in Amsterdam who did Strategy and moved to Product, etc.
No matter the school, no matter the location, when I deliver an AI workshop to a group of teachers, there are always at least a few colleagues thinking (and sometimes voicing), “Do I really need to use AI?”
Nearly three years after ChatGPT 3.5 landed in our lives and disrupted workflows in ways we’re still unpacking, most schools are swiftly catching up. Training sessions, like the ones I lead, are springing up everywhere, with principals and administrators trying to answer the same questions: Which tools should we use? How do we use them responsibly? How do we design learning in this new landscape?
But here’s what surprises me most: despite all the advances in AI technology, the questions and concerns from teachers remain strikingly consistent.
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In this article, I want to pull back the curtain on those conversations. These concerns aren’t signs of reluctance – they reflect sincere feelings. And they deserve thoughtful, honest answers.
This week, in advance of major announcements from us and other vendors, I give you a good overview of the AI Agent market, and discuss the new role of AI governance platforms, AI agent development tools, AI agent vendors, and how AI agents will actually manifest and redefine what we call an “application.”
I discuss ServiceNow, Microsoft, SAP, Workday, Paradox, Maki People, and other vendors. My goal today is to “demystify” this space and explain the market, the trends, and why and how your IT department is going to be building a lot of the agents you need. And prepare for our announcements next week!
DeepSeek has quietly launched Prover V2, an open-source model built to solve math problems using Lean 4 assistant, which ensures every step of a proof is rigorously verified.
What’s impressive about it?
Massive scale: Based on DeepSeek-V3 with 671B parameters using a mixture-of-experts (MoE) architecture, which activates only parts of the model at a time to reduce compute costs.
Theorem solving: Uses long context windows (32K+ tokens) to generate detailed, step-by-step formal proofs for a wide range of math problems — from basic algebra to advanced calculus theorems.
Research grade: Assists mathematicians in testing new theorems automatically and helps students understand formal logic by generating both Lean 4 code and readable explanations.
New benchmark: Introduces ProverBench, a new 325-question benchmark set featuring problems from recent AIME exams and curated academic sources to evaluate mathematical reasoning.
The need for deep student engagement became clear at Dartmouth Geisel School of Medicine when a potential academic-integrity issue revealed gaps in its initial approach to artificial intelligence use in the classroom, leading to significant revisions to ensure equitable learning and assessment.
From George Siemens “SAIL: Transmutation, Assessment, Robots e-newsletter on 5/2/25
All indications are that AI, even if it stops advancing, has the capacity to dramatically change knowledge work. Knowing things matters less than being able to navigate and make sense of complex environments. Put another way, sensemaking, meaningmaking, and wayfinding (with their yet to be defined subelements) will be the foundation for being knowledgeable going forward.
That will require being able to personalize learning to each individual learner so that who they are (not what our content is) forms the pedagogical entry point to learning.(DSC: And I would add WHAT THEY WANT to ACHIEVE.)LLMs are particularly good and transmutation. Want to explain AI to a farmer? A sentence or two in a system prompt achieves that. Know that a learner has ADHD? A few small prompt changes and it’s reflected in the way the LLM engages with learning. Talk like a pirate. Speak in the language of Shakespeare. Language changes. All a matter of a small meta comment send to the LLM. I’m convinced that this capability to change, transmute, information will become a central part of how LLMS and AI are adopted in education.
… Speaking of Duolingo– it took them 12 years to develop 100 courses. In the last year, they developed an additional 148. AI is an accelerant with an impact in education that is hard to overstate. “Instead of taking years to build a single course with humans the company now builds a base course and uses AI to quickly customize it for dozens of different languages.”
FutureHouse is launching our platform, bringing the first publicly available superintelligent scientific agents to scientists everywhere via a web interface and API. Try it out for free at https://platform.futurehouse.org.
College is often advertised as the best four years of one’s life, but many Americans now have regrets.
More than a third of all graduates now say their degree was a “waste of money,” according to a new survey by Indeed. This frustration is especially pronounced among Gen Z, with 51% expressing remorse—compared to 41% of millennials and just 20% of baby boomers.
Overall, a growing share of college-educated workers are questioning the return on investment (ROI) of their degree, Kyle M.K., a career trend expert at Indeed, told Fortune. It’s something that’s not all too surprising considering that the average cost of a bachelor’s degree has doubled in the last two decades to over $38,000, and total student loan debt has ballooned to nearly $2 trillion.
“Another 38% feel student loans have limited their career growth more than their diploma has accelerated it,” M.K. said.
“AI won’t invalidate a solid education, but it will reward those who keep upgrading their toolkit.”
Report Highlights. The average cost of college* in the United States is $38,270 per student per year, including books, supplies, and daily living expenses.
The average cost of college has more than doubled in the 21st century; the compound annual growth rate (CAGR) of tuition is 4.04%.
The average in-state student attending a public 4-year institution and living on-campus spends $27,146 for one academic year.
The average cost of in-state tuition alone is $9,750; out-of-state tuition averages $28,386.
The average private, nonprofit university student spends $58,628 per academic year living on campus, $38,421 of it on tuition and fees.
Considering student loan interest and loss of income, investing in a bachelor’s degree can ultimately cost in excess of $500,000.
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From DSC: Reminds me of a graphic that Yohan Na and I created back in 2009: .
MOOC-Style Skills Training— from the-job.beehiiv.com by Paul Fain WGU and tech companies use Open edX for flexible online learning. Could community colleges be next?
Open Source for Affordable Online Reach
The online titan Western Governors University is experimenting with an open-source learning platform. So are Verizon and the Indian government. And the platform’s leaders want to help community colleges take the plunge on competency-based education.
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The Open edX platform inherently supports self-paced learning and offers several features that make it a good fit for competency-based education and skills-forward learning, says Stephanie Khurana, Axim’s CEO.
“Flexible modalities and a focus on competence instead of time spent learning improves access and affordability for learners who balance work and life responsibilities alongside their education,” she says.
“Plus, being open source means institutions and organizations can collaborate to build and share CBE-specific tools and features,” she says, “which could lower costs and speed up innovation across the field.”
Axim thinks Open edX’s ability to scale affordably can support community colleges in reaching working learners across an underserved market.
DC: This is not a decision for lawmakers to make. It’s a decision for each school district’s teachers, administrators, students, and students’ parents to make. We need to significantly reduce lawmakers’ control on the #K12#learningecosystem — my 2 cents. https://t.co/m9yBw6zg0e
This report is the first in a series that examines three distinct workforce domains in higher education in 2025 (teaching and learning, cybersecurity and privacy, and IT leadership) to determine the priorities and challenges facing the profession. The findings in this report, taken from a survey of teaching and learning professionals in higher education, highlight their perspectives on a range of topics:
Flexible work arrangements
Integration of technologies
Workload and staffing
Job satisfaction and transition/succession planning
Encouraging Students’ Curiosity With Animal Observations — from edutopia.org by Shelby Guthrie Watching animals—either outdoors or via an online live cam—is an engaging way for students to build their critical thinking skills.
A moment of stillness can spark a lifetime of curiosity. Watching animals—whether it’s a bird outside or a zoo cam online—helps learners slow down, notice patterns, and ask questions. Structured observation builds patience, critical thinking, and a stronger connection to nature.
More than just engaging, these small moments contribute to bigger ideas—like understanding ecosystems, animal behavior, and the ever-changing world. Observation teaches learners to care, question, and conserve. These skills are foundational not only for scientific thinking but also for fostering empathy and awareness. When students observe closely, they begin to notice patterns, ask better questions, and connect deeply with the natural world. This kind of curiosity-driven learning empowers them to take informed action, whether that means advocating for a local habitat, participating in citizen science, or simply seeing their environment through a more thoughtful lens.
I set out to create some helpful tools and strategies for my students, who have diverse learning profiles, including processing delays, anxiety, attention challenges, and autism. I knew going in that whatever I came up with needed to be flexible. The goal was never perfection; it was access and agency.
What’s resulted are three classroom strategies that don’t feel like extra work for students. Instead, they help students own their attention. I named the strategies “The Listening Gym,” “The Noise Diet,” and “Focus GPS.”
Keeping Students Engaged During Long Class Periods — from edutopia.org by Maggie Espinola By chunking class time using gradual release of responsibility, teachers can vary their teaching strategies to help students maintain focus.
For a new teacher, figuring out how to manage a long class period can feel particularly daunting. In order to maximize the attention of your students during longer class periods, consider the following tips.
Creating a Student Leadership Program — from edutopia.org by Danica Derksen These strategies for building leadership skills can be implemented as an elective or by creating other opportunities for students.
Running an effective student leadership program takes structure and vision from all levels of a school. When we create opportunities for students to lead, we are building competencies that they will take with them for the rest of their lives.
I currently co-teach a middle school student leadership elective each semester. I am passionate about teaching my students to lead by example, find solutions to problems, and make their school a place where all students know they belong. Here are four ideas to create a strong student leadership program or other student leadership opportunities.
AI agents arrive in US classrooms — from zdnet.com by Radhika Rajkumar Kira AI’s personalized learning platform is currently being implemented in Tennessee schools. How will it change education?
AI for education is a new but rapidly expanding field. Can it support student outcomes and help teachers avoid burnout?
On Wednesday, AI education company Kira launched a “fully AI-native learning platform” for K-12 education, complete with agents to assist teachers with repetitive tasks. The platform hosts assignments, analyzes progress data, offers administrative assistance, helps build lesson plans and quizzes, and more.
“Unlike traditional tools that merely layer AI onto existing platforms, Kira integrates artificial intelligence directly into every educational workflow — from lesson planning and instruction to grading, intervention, and reporting,” the release explains. “This enables schools to improve student outcomes, streamline operations, and provide personalized support at scale.”
“Teachers today are overloaded with repetitive tasks. A.I. agents can change that, and free up their time to give more personalized help to students,” Ng said in a statement.
Kira was co-founded by Andrea Pasinetti and Jagriti Agrawal, both longtime collaborators of Ng. The platform embeds A.I. directly into lesson planning, instruction, grading and reporting. Teachers can instantly generate standards-aligned lesson plans, monitor student progress in real time and receive automated intervention strategies when a student falls behind.
Students, in turn, receive on-demand tutoring tailored to their learning styles. A.I. agents adapt to each student’s pace and mastery level, while grading is automated with instant feedback—giving educators time to focus on teaching.
‘Using GenAI is easier than asking my supervisor for support’ — from timeshighereducation.com Doctoral researchers are turning to generative AI to assist in their research. How are they using it, and how can supervisors and candidates have frank discussions about using it responsibly?
Generative AI is increasingly the proverbial elephant in the supervisory room. As supervisors, you may be concerned about whether your doctoral researchers are using GenAI. It can be a tricky topic to broach, especially when you may not feel confident in understanding the technology yourself.
While the potential impact of GenAI use among undergraduate and postgraduate taught students, especially, is well discussed (and it is increasingly accepted that students and staff need to become “AI literate”), doctoral researchers often slip through the cracks in institutional guidance and policymaking.
When used thoughtfully and transparently, generative artificial intelligence can augment creativity and challenge assumptions, making it an excellent tool for exploring and developing ideas.
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The glaring contrast between the perceived ubiquity of GenAI and its actual use also reveals fundamental challenges associated with the practical application of these tools. This article explores two key questions about GenAI to address common misconceptions and encourage broader adoption and more effective use of these tools in higher education.
Like many of you, I spent the first part of this week at Learning Technologies in London, where I was lucky enough to present a session on the current state of AI and L&D.
In this week’s blog post, I summarise what I covered and share an audio summary of my paper for you to check out.
Bridging the AI Trust Gap— from chronicle.com by Ian Wilhelm, Derek Bruff, Gemma Garcia, and Lee Rainie
In a 2024 Chronicle survey, 86 percent of administrators agreed with the statement: “Generative artificial intelligence tools offer an opportunity for higher education to improve how it educates, operates, and conducts research.” In contrast, just 55 percent of faculty agreed, showing the stark divisions between faculty and administrative perspectives on adopting AI.
Among many faculty members, a prevalent distrust of AI persists — and for valid reasons. How will it impact in-class instruction? What does the popularity of generative AI tools portend for the development of critical thinking skills for Gen-Z students? How can institutions, at the administrative level, develop policies to safeguard against students using these technologies as tools for cheating?
Given this increasing ‘trust gap,’ how can faculty and administrators work together to preserve academic integrity as AI seeps into all areas of academia, from research to the classroom?
Join us for “Bridging the AI Trust Gap,” an extended, 75-minute Virtual Forum exploring the trust gap on campus about AI, the contours of the differences, and what should be done about it.
Boosting Engagement by Taking Math Outdoors— from edutopia.org by Sandy Vorensky Bringing elementary students outside for math lessons provides a welcome change of pace and a chance for new activities.
How to Help Students Avoid Procrastinating — from edutopia.org by Sarah Kesty A simple strategy can help students map out their assignments in manageable chunks so they can stay on top of their work.
Long-term projects and assignments present a unique challenge for many students, requiring several layers of executive function skills, like planning and time management, to be able to manage steps over an extended period of time. Much to our frustration, students may procrastinate or avoid working on an assignment when it seems overwhelming. This can lead to late, missing, or incomplete work, or it can push students into a stressful all-nighter, as they complete an assignment designed to take weeks in the span of just a few hours.
An effective way to address the challenges of overwhelm and procrastination—and a way that requires only a tweak to your teaching instead of another task on your plate—is to teach students to “scan and plan.” Scan and plans happen during the introduction of an assignment, usually one that takes more than a few steps. Teachers organically fold in the scan and plan approach as a layer to the assignment’s announcement to the class.
Schools push career ed classes ‘for all,’ even kids heading to college— from hechingerreport.org by Javeria Salman As backlash to ‘college for all’ grows, a new ‘CTE for all’ model blossoms. Backers say it engages students and prepares them for the future, but others worry it comes at a cost
The credit union is one small piece of a districtwide effort, Academies of Louisville, to embed career and technical education, or CTE, alongside core subjects like math and English and require every student to pick a career pathway by 10th grade. Piloted in 2017 at 11 high schools, the model has expanded to all 15 of the district’s main high schools. As part of that effort, the district has also launched a career exploration program at 14 middle schools, partnered with local colleges and universities to provide dual credit courses and smoothed the path for students to graduate with industry-recognized certifications.
The Academies of Louisville is one of roughly 30such programs that are working to provide CTE for all students, regardless of whether they plan to go to college or directly into the workforce, according to Jessica Delgado, marketing and communications director of Ford Next Generation Learning, which supports school districts in adopting the approach.
Another ‘shock’ is coming for American jobs — from washingtonpost.com by Heather Long. DSC: This is a gifted article Millions of workers will need to shift careers. Our country is unprepared.
The United States is on the cusp of a massive economic shift due to AI, and it’s likely to cause greater change than anything President Donald Trump does in his second term. Much good can come from AI, but the country is unprepared to grapple with the need for millions — or perhaps tens of millions — of workers to shift jobs and entire careers.
“There’s a massive risk that entry-level, white-collar work could get automated. What does that do to career ladders?” asked Molly Kinder, a fellow at the Brookings Institution. Her research has found the jobs of marketing analysts are five times as likely to be replaced as those of marketing managers, and sales representative jobs are three times as likely to be replaced as those of sales managers.
Young people working in these jobs will need to be retrained, but it will be hard for them to invest in new career paths. Consider that many college graduates already carry a lot of debt (an average of about $30,000 for those who took student loans).What’s more, the U.S. unemployment insurance system covers only about 57 percent of unemployed workers and replaces only a modest amount of someone’s pay.
From DSC: This is another reason why I think this vision here is at least a part of our future. We need shorter, less expensive credentials.
People don’t have the time to get degrees that take 2+ years to complete (after they have already gone through college once).
They don’t want to come out with more debt on their backs.
With inflation going back up, they won’t have as much money anyway.
Also, they may already have enough debt on their backs.
A market report from Validated Insights released this month notes that fewer colleges and universities hire external online program management (OPM) companies to develop their courses.
For 2024, higher education institutions launched only 81 new partnerships with OPMs — a drop of 42% and the lowest number since 2016.
The report showed that institutions increasingly pay OPMs a fee-for-service instead of following a revenue-sharing model with big service bundles and profit splits.
Experts say revenue-sharing models, which critics denounce as predatory arrangements, incentivize service providers to use aggressive recruiting tactics to increase enrollments and maximize tuition revenue.
According to the report, fee-for-service has become the dominant business model for OPMs.
While school-led professional development can be helpful, there are online professional learning communities on various edtech websites that can be leveraged. Also, some of these community spaces offer the chance to monetize your work.
Here is a summary of six online edtech professional learning spaces.
