Defense attorney Jason Lamm won’t be handling the appeal, but said a higher court will likely be asked to weigh in on whether the judge improperly relied on the AI-generated video when sentencing his client.
Courts across the country have been grappling with how to best handle the increasing presence of artificial intelligence in the courtroom. Even before Pelkey’s family used AI to give him a voice for the victim impact portion — believed to be a first in U.S. courts — the Arizona Supreme Court created a committee that researches best AI practices.
In Florida, a judge recently donned a virtual reality headset meant to show the point of view of a defendant who said he was acting in self-defense when he waved a loaded gun at wedding guests. The judge rejected his claim.
Experts say using AI in courtrooms raises legal and ethical concerns, especially if it’s used effectively to sway a judge or jury. And they argue it could have a disproportionate impact on marginalized communities facing prosecution.
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AI can be very persuasive, Harris said, and scholars are studying the intersection of the technology and manipulation tactics.
April 29 2025: A major new survey, from legal intelligence platform Robin AI, has revealed a severe lack of trust in the legal industry. Just 1 in 10 people across the US and UK said they fully trust law firms, but while increasingly open to AI-powered legal services, few are ready to let technology take over without human oversight.
Perspectus Global polled a representative sample of 4,152 people across both markets. An overwhelming majority see Big Law as “expensive”, “elitist” or “intimidating” but only 30% of respondents would allow a robot lawyer — that is, an AI system acting alone — to represent them in a legal matter. On average, respondents said they would need a 57% discount to choose an AI lawyer over a human.
In just three years, the company, which builds software for analyzing and drafting documents using legally tuned large language models, has drawn blue-chip law firms, Silicon Valley investors, and a stampede of rivals hoping to catch its momentum. Harvey has raised over half a billion dollars in capital, sending its valuation soaring to $3 billion.
According to a new report from Enkrypt AI, multimodal models have opened the door to sneakier attacks (like Ocean’s Eleven, but with fewer suits and more prompt injections).
Naturally, Enkrypt decided to run a few experiments… and things escalated quickly.
They tested two of Mistral’s newest models—Pixtral-Large and Pixtral-12B, built to handle words and visuals.
What they found? Yikes:
The models are 40x more likely to generate dangerous chemical / biological / nuclear info.
And 60x more likely to produce child sexual exploitation material compared to top models like OpenAI’s GPT-4o or Anthropic’s Claude 3.7 Sonnet.
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.
But the next step is what actually moves the needle. The rare, courageous thing to do is to develop an assertion.
What’s the difference between insights, suggestions, and assertions?
When you point out an insight, you’re calling attention to an observation, something you noticed and wanted to remark on. In response, your colleague could say, “Hmm interesting. That’s nice to know.” They carry on with their day. You carry on with yours. Nothing changes.
When you make a suggestion, you’re putting forth a recommendation. You’re proposing a few different options to choose from. But you’re still not on the hook because your boss ultimately decides what to do. And the person who decides holds the emotional burden of that decision.
When you make an assertion, all of a sudden, things get real. You’re on the hook because there’s more of you in what you’re positing. You’re now advocating for your point of view and trying to convince others to support you.
From DSC: Perhaps there’s something in here for academics when they write for the journals within their discipline. When I was getting my Masters Degree, I hated readying the same ol’ same ol’ –> “…this needs further research, blah, blah, blah.”
I wanted to know what the researcher/author had to actually say about the topic. Too often, they seemed to hold back any kind of thesis or what they believed to be true about a topic. They were far too reserved in my opinion.
.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.
Class of 2025 graduates’ expectations seem to be clashing with reality during their job search, especially when it comes to pay, job preferences and beliefs about the job market, according to an April 23 report from ZipRecruiter.
For instance, some graduates have found that the job search is taking longer than they expected. About 82% of those about to graduate expect to start work within three months of graduation, but only 77% of recent graduates accomplished that, and 5% said they’re still searching for a job.
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.
A few weeks ago, several prominent American universities and law firms found themselves in what seemed to be a classic prisoner’s dilemma, courtesy of President Trump.
His campaign of retribution against law firms that represented or hired his political opponents, and against universities that engaged in “woke” policies or purportedly fostered antisemitism, was forcing them to make an unappealing choice.
Those who capitulated and struck an early deal with the White House, it seemed, might be spared the worst of Mr. Trump’s wrath, but at the cost of jeopardizing their independence. Standing up to the president risked even harsher punishment, particularly if other institutions stayed silent.
Columbia University made a deal with the administration. So did some of the largest law firms in the country. Recent changes, however, suggest that the dilemma is starting to look very different.
In the real world, however, instead of rewarding those who capitulated early, the Trump administration pressured them even more.
… “Capitulation has a track record,” said Ms. Saunders, “and it’s not pretty.”
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.
So this edition is simple: a quick, practical guide to the major generative AI models available in 2025 so far. What they’re good at, what to use them for, and where they might fit into your legal work—from document summarization to client communication to research support.
From DSC: This comprehensive, highly informational posting lists what the model is, its strengths, the best legal use cases for it, and responsible use tips as well.
Of course AI will continue to make waves, but what other important legal technologies do you need to be aware of in 2025? Dennis and Tom give an overview of legal tech tools—both new and old—you should be using for successful, modernized legal workflows in your practice. They recommend solutions for task management, collaboration, calendars, projects, legal research, and more.
Later, the guys answer a listener’s question about online prompt libraries. Are there reputable, useful prompts available freely on the internet? They discuss their suggestions for prompt resources and share why these libraries tend to quickly become outdated.
If you follow legal tech at all, you would be justified in suspecting that Tom Martin has figured out how to use artificial intelligence to clone himself.
While running LawDroid, his legal tech company, the Vancouver-based Martin also still manages a law practice in California, oversees an annual legal tech awards program, teaches a law school course on generative AI, runs an annual AI conference, hosts a podcast, and recently launched a legal tech consultancy.
In January 2023, less than two months after ChatGPT first launched, Martin’s company was one of the first to launch a gen AI assistant specifically for lawyers, called LawDroid Copilot. He has since also launched LawDroid Builder, a no-code platform for creating custom AI agents.
In a profession that’s actively contemplating its future in the face of AI, legal organization leaders who demonstrate a genuine desire to invest in the next generation of legal professionals will undoubtedly set themselves apart
Artificial intelligence (AI) is here. And it’s already reshaping the way law firms operate. Whether automating repetitive tasks, improving risk management, or boosting efficiency, AI presents a genuine opportunity for forward-thinking legal practices. But with new opportunities come new responsibilities. And as firms explore AI tools, it’s essential they consider how to govern them safely and ethically. That’s where an AI policy becomes indispensable.
So, what can AI actually do for your firm right now? Let’s take a closer look.
Global leader brings its trusted brand and powerful network to enable payments with new technologies
Launches new innovations and partnerships to drive flexibility, security and acceptance
SAN FRANCISCO–(BUSINESS WIRE)–The future of commerce is on display at the Visa Global Product Drop with powerful AI-enabled advancements allowing consumers to find and buy with AI plus the introduction of new strategic partnerships and product innovations.
Collaborates with Anthropic, IBM, Microsoft, Mistral AI, OpenAI, Perplexity, Samsung, Stripe and more
Will make shopping experiences more personal, more secure and more convenient as they become powered by AI
Introduced [on April 30th] at the Visa Global Product Drop, Visa Intelligent Commerce enables AI to find and buy. It is a groundbreaking new initiative that opens Visa’s payment network to the developers and engineers building the foundational AI agents transforming commerce.
In today’s newsletter, I’m unpacking why your next major buyers won’t be people at all. They’ll be AI agents, and your brand might already be invisible to them. We’ll dig into why traditional marketing strategies are breaking down in the age of autonomous AI shoppers, what “AI optimization” (AIO) really means, and the practical steps you can take right now to make sure your business stays visible and competitive as the new digital gatekeepers take over more digital tasks.
AI platforms and AI agents—the digital assistants that browse and actually do things powered by models like GPT-4o, Claude 3.7 Sonnet, and Gemini 2.5 Pro—are increasingly becoming the gatekeepers between your business and potential customers.
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“AI is the new front door to your business for millions of consumers.”
The 40-Point (ish) AI Agent Marketing Playbook
Here’s the longer list. I went ahead and broke these into four categories so you can more easily assign owners: Content, Structure & Design, Technical & Dev, and AI Strategy & Testing. I look forward to seeing how this space, and by extension my advice, changes in the coming months.
During a fireside chat with Meta CEO Mark Zuckerberg at Meta’s LlamaCon conference on Tuesday, Microsoft CEO Satya Nadella said that 20% to 30% of code inside the company’s repositories was “written by software” — meaning AI.
In just six months, the consumer AI landscape has been redrawn. Some products surged, others stalled, and a few unexpected players rewrote the leaderboard overnight. Deepseek rocketed from obscurity to a leading ChatGPT challenger. AI video models advanced from experimental to fairly dependable (at least for short clips!). And so-called “vibe coding” is changing who can create with AI, not just who can use it. The competition is tighter, the stakes are higher, and the winners aren’t just launching, they’re sticking.
We turned to the data to answer: Which AI apps are people actively using? What’s actually making money, beyond being popular? And which tools are moving beyond curiosity-driven dabbling to become daily staples?
This is the fourth installment of the Top 100 Gen AI Consumer Apps, our bi-annual ranking of the top 50 AI-first web products (by unique monthly visits, per Similarweb) and top 50 AI-first mobile apps (by monthly active users, per Sensor Tower). Since our last report in August 2024, 17 new companies have entered the rankings of top AI-first web products.
The AI search landscape is transforming at breakneck speed. New “Deep Research” tools from ChatGPT, Gemini and Perplexity autonomously search and gather information from dozens — even hundreds — of sites, then analyze and synthesize it to produce comprehensive reports. While a human might take days or weeks to produce these 30-page citation-backed reports, AI Deep Research reports are ready in minutes.
What’s in this post
Examples of each report type I generated for my research, so you can form your own impressions.
Tips on why & how to use Deep Research and how to craft effective queries.
Comparison of key features and strengths/limitations of the top platforms
As AI agents transition from experimental systems to production-scale applications, their growing autonomy introduces novel security challenges. In a comprehensive new report, “AI Agents Are Here. So Are the Threats,” Palo Alto Networks’ Unit 42 reveals how today’s agentic architectures—despite their innovation—are vulnerable to a wide range of attacks, most of which stem not from the frameworks themselves, but from the way agents are designed, deployed, and connected to external tools.
To evaluate the breadth of these risks, Unit 42 researchers constructed two functionally identical AI agents—one built using CrewAI and the other with AutoGen. Despite architectural differences, both systems exhibited the same vulnerabilities, confirming that the underlying issues are not framework-specific. Instead, the threats arise from misconfigurations, insecure prompt design, and insufficiently hardened tool integrations—issues that transcend implementation choices.
LLMs Can Learn Complex Math from Just One Example: Researchers from University of Washington, Microsoft, and USC Unlock the Power of 1-Shot Reinforcement Learning with Verifiable Reward — from marktechpost.com by Sana Hassan
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: .
…if my people, who are called by my name, will humble themselves and pray and seek my face and turn from their wicked ways, then I will hear from heaven, and I will forgive their sin and will heal their land.
And without faith it is impossible to please God, because anyone who comes to him must believe that he exists and that he rewards those who earnestly seek him.
17 But the wisdom that comes from heaven is first of all pure; then peace-loving, considerate, submissive, full of mercy and good fruit, impartial and sincere. 18 Peacemakers who sow in peace reap a harvest of righteousness.
11 You turned my wailing into dancing; you removed my sackcloth and clothed me with joy, 12 that my heart may sing your praises and not be silent. Lord my God, I will praise you forever.
9 This is how God showed his love among us: He sent his one and only Son into the world that we might live through him.10 This is love: not that we loved God, but that he loved us and sent his Son as an atoning sacrifice for our sins.11 Dear friends, since God so loved us, we also ought to love one another.
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.
Thanks for dropping by my Learning Ecosystems blog!
My name is Daniel Christian and this blog seeks to cover the teaching and learning environments within the K-12 (including homeschooling, learning pods/micro-schools), collegiate, and corporate training spaces -- whether those environments be face-to-face, blended, hyflex, or 100% online.
Just as the organizations that we work for have their own learning ecosystems, each of us has our own learning ecosystem. We need to be very intentional about enhancing those learning ecosystems -- as we all need to be lifelong learners in order to remain marketable and employed. It's no longer about running sprints (i.e., getting a 4-year degree or going to a vocational school and then calling it quits), but rather, we are all running marathons now (i.e., we are into lifelong learning these days).
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