More colleges are breaching their debt requirements: S&P — from highereddive.com by Ben Unglesbee Amid operating pressures, some institutions are struggling to meet financial metrics stipulated in their bond and loan covenants.
Dive Brief:
A growing number of colleges are breaching bond and loan stipulations, known as covenants, that require them to stay within certain financial health parameters, according to a new report from S&P Global Ratings.
The agency cited 12 colleges it rates that have breached covenants since last June. In most cases, bondholders waived the violation. Some covenants could allow debtholders to accelerate repayment, which could add to an institution’s liquidity and ratings risks.
S&P downgraded ratings for about half the institutions with violations, typically because of underlying financial issues. “We see continued credit quality divergence in the U.S. higher education sector, with weaker-positioned institutions experiencing budgetary pressure and covenant violations,” the analysts said.
After an unprecedented three-year timeout on federal student loan payments because of the pandemic, millions of borrowers began repaying their debt when billing resumed late last year. But nearly as many have not.
That reality, along with court decisions that regularly upend the rules, has complicated the government’s efforts to restart its system for collecting the $1.6 trillion it is owed.
Universities Investing in Microcredential Leadership — from insidehighered.com by Lauren Coffey As microcredential programs slowly gain traction, more universities are looking for leaders to coordinate the efforts.
Microcredentials—also known as digital badges, credentials, certificate, or alternative credentials—grew in popularity during the COVID-19 pandemic. Now they are attracting renewed interest as institutions look to widen their nets for nontraditional students as an enrollment cliff looms.
In addition to backing these programs, some universities are going further by hiring staff solely to oversee microcredential efforts.
A Plan to Save Small Colleges — from insidehighered.com by Michael Alexander Small colleges could join forces through a supporting-organization model, Michael Alexander writes.
The challenges are significant. But there is a way to increase the probability of survival for many small colleges or spare them from a spartan existence. It involves groups of colleges affiliating under a particular structure that would facilitate both (1) a significant reduction in operating costs for each college and (2) a rationalization of each college’s academic offerings to concentrate on its strongest programs.
This episode of the Next Big Idea podcast, host Rufus Griscom and Bill Gates are joined by Andy Sack and Adam Brotman, co-authors of an exciting new book called “AI First.” Together, they consider AI’s impact on healthcare, education, productivity, and business. They dig into the technology’s risks. And they explore its potential to cure diseases, enhance creativity, and usher in a world of abundance.
Key moments:
00:05 Bill Gates discusses AI’s transformative potential in revolutionizing technology.
02:21 Superintelligence is inevitable and marks a significant advancement in AI technology.
09:23 Future AI may integrate deeply as cognitive assistants in personal and professional life.
14:04 AI’s metacognitive advancements could revolutionize problem-solving capabilities.
21:13 AI’s next frontier lies in developing human-like metacognition for sophisticated problem-solving.
27:59 AI advancements empower both good and malicious intents, posing new security challenges.
28:57 Rapid AI development raises questions about controlling its global application.
33:31 Productivity enhancements from AI can significantly improve efficiency across industries.
35:49 AI’s future applications in consumer and industrial sectors are subjects of ongoing experimentation.
46:10 AI democratization could level the economic playing field, enhancing service quality and reducing costs.
51:46 AI plays a role in mitigating misinformation and bridging societal divides through enhanced understanding.
The team has summarized their primary contributions as follows.
The team has offered the first instance of a simple, scalable oversight technique that greatly assists humans in more thoroughly detecting problems in real-world RLHF data.
Within the ChatGPT and CriticGPT training pools, the team has discovered that critiques produced by CriticGPT catch more inserted bugs and are preferred above those written by human contractors.
Compared to human contractors working alone, this research indicates that teams consisting of critic models and human contractors generate more thorough criticisms. When compared to reviews generated exclusively by models, this partnership lowers the incidence of hallucinations.
This study provides Force Sampling Beam Search (FSBS), an inference-time sampling and scoring technique. This strategy well balances the trade-off between minimizing bogus concerns and discovering genuine faults in LLM-generated critiques.
a16z-backed Character.AI said today that it is now allowing users to talk to AI characters over calls. The feature currently supports multiple languages, including English, Spanish, Portuguese, Russian, Korean, Japanese and Chinese.
The startup tested the calling feature ahead of today’s public launch. During that time, it said that more than 3 million users had made over 20 million calls. The company also noted that calls with AI characters can be useful for practicing language skills, giving mock interviews, or adding them to the gameplay of role-playing games.
Google Translate can come in handy when you’re traveling or communicating with someone who speaks another language, and thanks to a new update, you can now connect with some 614 million more people. Google is adding 110 new languages to its Translate tool using its AI PaLM 2 large language model (LLM), which brings the total of supported languages to nearly 250. This follows the 24 languages added in 2022, including Indigenous languages of the Americas as well as those spoken across Africa and central Asia.
Gen-3 Alpha Text to Video is now available to everyone.
A new frontier for high-fidelity, fast and controllable video generation.
DC: So as the world watches how America’s judicial system works (or doesn’t work), we tell them, “Trump is above the law, at least in many circumstances.” https://t.co/ehjBFKcA2I
— Daniel Christian (he/him/his) (@dchristian5) July 2, 2024
From DSC: I realize I lose a lot of readers on this Learning Ecosystems blog because I choose to talk about my faith and integrate scripture into these postings. So I have stayed silent on matters of politics — as I’ve been hesitant to lose even more people. But I can no longer stay silent re: Donald Trump.
I, too, fear for our democracy if Donald Trump becomes our next President. He is dangerous to our democracy.
Also, I can see now how Hitler came to power.
And look out other countries that Trump doesn’t like. He is dangerous to you as well.
He doesn’t care about the people of the United States (nor any other nation). He cares only about himself and gaining power. Look out if he becomes our next president.
Unlimited Presidential power. According to Trump vs the US, the “President may not be prosecuted for exercising his core constitutional powers, and he is entitled to at least presumptive immunity from prosecution for his official acts.” Justice Sotomayor says this makes the President a “king.” This power + surveillance + AGI/autonomous weapons mean the President is now the most powerful king in the history of the world.
Meanwhile, a separate survey of faculty released Thursday by Ithaka S+R, a higher education consulting firm, showcased that faculty—while increasingly familiar with AI—often do not know how to use it in classrooms. Two out of five faculty members are familiar with AI, the Ithaka report found, but only 14 percent said they are confident in their ability to use AI in their teaching. Just slightly more (18 percent) said they understand the teaching implications of generative AI.
“Serious concerns about academic integrity, ethics, accessibility, and educational effectiveness are contributing to this uncertainty and hostility,” the Ithaka report said.
The diverging views about AI are causing friction. Nearly a third of students said they have been warned to not use generative AI by professors, and more than half (59 percent) are concerned they will be accused of cheating with generative AI, according to the Pearson report, which was conducted with Morning Consult and surveyed 800 students.
What teachers want from AI — from hechingerreport.org by Javeria Salman When teachers designed their own AI tools, they built math assistants, tools for improving student writing, and more
An AI chatbot that walks students through how to solve math problems. An AI instructional coach designed to help English teachers create lesson plans and project ideas. An AI tutor that helps middle and high schoolers become better writers.
These aren’t tools created by education technology companies. They were designed by teachers tasked with using AI to solve a problem their students were experiencing.
Over five weeks this spring, about 300 people – teachers, school and district leaders, higher ed faculty, education consultants and AI researchers – came together to learn how to use AI and develop their own basic AI tools and resources. The professional development opportunity was designed by technology nonprofit Playlab.ai and faculty at the Relay Graduate School of Education.
Next-Gen Classroom Observations, Powered by AI — from educationnext.org by Michael J. Petrilli The use of video recordings in classrooms to improve teacher performance is nothing new. But the advent of artificial intelligence could add a helpful evaluative tool for teachers, measuring instructional practice relative to common professional goals with chatbot feedback.
Multiple companies are pairing AI with inexpensive, ubiquitous video technology to provide feedback to educators through asynchronous, offsite observation. It’s an appealing idea, especially given the promise and popularity of instructional coaching, as well as the challenge of scaling it effectively (see “Taking Teacher Coaching To Scale,” research, Fall 2018).
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Enter AI. Edthena is now offering an “AI Coach” chatbot that offers teachers specific prompts as they privately watch recordings of their lessons. The chatbot is designed to help teachers view their practice relative to common professional goals and to develop action plans to improve.
To be sure, an AI coach is no replacement for human coaching.
We need to shift our thinking about GenAI tutors serving only as personal learning tools. The above activities illustrate how these tools can be integrated into contemporary classroom instruction. The activities should not be seen as prescriptive but merely suggestive of how GenAI can be used to promote social learning. Although I specifically mention only one online activity (“Blended Learning”), all can be adapted to work well in online or blended classes to promote social interaction.
Stealth AI — from higherai.substack.com by Jason Gulya (a Professor of English at Berkeley College) talks to Zack Kinzler What happens when students use AI all the time, but aren’t allowed to talk about it?
In many ways, this comes back to one of my general rules: You cannot ban AI in the classroom. You can only issue a gag rule.
And if you do issue a gag rule, then it deprives students of the space they often need to make heads and tails of this technology.
We need to listen to actual students talking about actual uses, and reflecting on their actual feelings. No more abstraction.
In this conversation, Jason Gulya (a Professor of English at Berkeley College) talks to Zack Kinzler about what students are saying about Artificial Intelligence and education.
Welcome to our monthly update for Teams for Education and thank you so much for being part of our growing community! We’re thrilled to share over 20 updates and resources and show them in action next week at ISTELive 24 in Denver, Colorado, US.
… Copilot for Microsoft 365 – Educator features Guided Content Creation
Coming soon to Copilot for Microsoft 365 is a guided content generation experience to help educators get started with creating materials like assignments, lesson plans, lecture slides, and more. The content will be created based on the educator’s requirements with easy ways to customize the content to their exact needs. Standards alignment and creation Quiz generation through Copilot in Forms Suggested AI Feedback for Educators Teaching extension
To better support educators with their daily tasks, we’ll be launching a built-in Teaching extension to help guide them through relevant activities and provide contextual, educator-based support in Copilot. Education data integration
Copilot for Microsoft 365 – Student features Interactive practice experiences
Flashcards activity
Guided chat activity Learning extension in Copilot for Microsoft 365
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New AI tools for Google Workspace for Education — from blog.google by Akshay Kirtikar and Brian Hendricks We’re bringing Gemini to teen students using their school accounts to help them learn responsibly and confidently in an AI-first future, and empowering educators with new tools to help create great learning experiences.
Many Americans, including the last wave of Gen Z-ers now entering high schools, want schools to offer more education and training options for young people like career and technical education, or CTE. They broadly agree that the K–12 goal of “college for all” over the last several decades has not served all students well. It should be replaced with “opportunity pluralism,” or the recognition that a college degree is one of many pathways to post-secondary success.
School-based CTE programs (there are also programs for adults) typically prepare middle and high school students for a range of high-wage, high-skill, and high-demand careers. These include fields like advanced manufacturing, health sciences, and information technology which often do not require a two- or four-year college degree. CTE programs award students recognized credentials like industry certifications and licenses.
The New Entry-Level Job (and Skill)
In a world where AI can perform entry-level tasks, and employers are prioritizing experienced candidates, how can recent college graduates and job seekers find a job?
AI is the new entry-level skill. As AI permeates every industry, it’s becoming increasingly common for employers to ask candidates how they think about applying AI to their jobs. (We’ve started asking this here at Reach ourselves.) Even if the job is not technical and doesn’t list AI as a skill, candidates would do well to prepare. Journalists, for instance, are warming up to using AI to transcribe interviews and suggest headlines.
So it’s not just AI that may take your entry-level role, but rather the person who knows how to use it. Candidates who are bracing for this technological shift and proactively building their AI literacy and expertise will have a leg up.
Leading school systems are incorporating AI tools such as tutoring, chatbots, and teacher assistants, and promoting AI literacy among teachers and students to adapt to the evolving role of AI in education.
According to Flighty, I logged more than 2,220 flight miles in the last 5 days traveling to three conferences to give keynotes and spend time with housing officers in Milwaukee, college presidents in Mackinac Island, MI, and enrollment and marketing leaders in Raleigh.
Before I rest, I wanted to post some quick thoughts about what I learned. Thank you to everyone who shared their wisdom these past few days:
We need to think about the “why” and “how” of AI in higher ed. The “why” shouldn’t be just because everyone else is doing it. Rather, the “why” is to reposition higher ed for a different future of competitors. The “how” shouldn’t be to just seek efficiency and cut jobs. Rather we should use AI to learn from its users to create a better experience going forward.
Residence halls are not just infrastructure. They are part and parcel of the student experience and critical to student success. Almost half of students living on campus say it increases their sense of belonging, according to research by the Association of College & University Housing Officers.
How do we extend the “residential experience”? More than half of traditional undergraduates who live on campus now take at least once course online. As students increasingly spend time off campus – or move off campus as early as their second year in college – we need to help continue to make the connections for them that they would in a dorm. Why? 47% of college students believe living in a college residence hall enhanced their ability to resolve conflicts.
Career must be at the core of the student experience for colleges to thrive in the future, says Andy Chan. Yes, some people might see that as too narrow of a view of higher ed or might not want to provide cogs for the wheel of the workforce, but without the job, none of the other benefits of college follow–citizenship, health, engagement.
A “triple threat grad”–someone who has an internship, a semester-long project, and an industry credential (think Salesforce or Adobe in addition to their degree–matters more in the job market than major or institution, says Brandon Busteed.
Every faculty member should think of themselves as an ambassador for the institution. Yes, care about their discipline/department, but that doesn’t survive if the rest of the institution falls down around them.
Presidents need to place bigger bets rather than spend pennies and dimes on a bunch of new strategies. That means to free up resources they need to stop doing things.
Higher ed needs a new business model. Institutions can’t make money just from tuition, and new products like certificates, are pennies on the dollars of degrees.
Boards aren’t ready for the future. They are over-indexed on philanthropy and alumni and not enough on the expertise needed for leading higher ed.
That’s the percentage of high school graduates going right on to college. A decade ago it was around 70%. So for all the bellyaching about the demographic cliff in higher ed, just imagine if today we were close to that 70% number? We’d be talking a few hundred thousand more students in the system.
As I told a gathering of presidents of small colleges and universities last night on Mackinac Island — the first time I had to take [numerous modes of transportation] to get to a conference — being small isn’t distinctive anymore.
There are many reasons undergrad enrollment is down, but they all come down to two interrelated trends: jobs and affordability.
The job has become so central to what students want out of the experience. It’s almost as if colleges now need to guarantee a job.
These institutions will need to rethink the learner relationship with work. Instead of college with work on the side, we might need to move to more of a mindset of work with college on the side by:
Making campus jobs more meaningful. Why can’t we have accounting and finance majors work in the CFO office, liberal arts majors work in IT on platforms such as Salesforce and Workday, which are skills needed in the workplace, etc.?
Apprenticeships are not just for the trades anymore. Integrate work-based learning into the undergrad experience in a much bigger way than internships and even co-ops.
Credentials within the degree. Every graduate should leave college with more than just a BA but also a certified credential in things like data viz, project management, the Adobe suite, Alteryx, etc.
The curriculum needs to be more flexible for students to combine work and learning — not only for the experience but also money for college — so more availability of online courses, hybrid courses, and flexible semesters.
Not sure if you're behind or ahead in AI adoption? I created this guide to help you benchmark.
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* many who think they're behind are actually on track, and some who think they're ahead are not ** these insights are my own opinion based on years of work with hundreds… pic.twitter.com/Wr28azOwDS
“Neurodivergent people spend their whole lives trying to learn how neurotypical people operate, and trying to change themselves to fit neurotypical standards,” Gudnkecht said. “I just think it’s important for neurotypical people to also put in a tiny bit of effort to understand us, just because we spend our whole life trying to understand them.”
At its simplest, neurodiversity is the idea that everybody’s brains work differently, and that these differences are normal. Neurodivergent, which is not a medical diagnosis, is an umbrella term that refers to people who have autism spectrum disorder, ADHD, dyslexia, or other atypical ways of thinking, learning and interacting with others.
“It’s obviously essential to give the appropriate accommodations to people with disabilities. Like, that’s definitely like number one,” Gudknecht said. “But it’s also equally as essential to support the social and emotional well-being of students.”
Then came ChatGPT, Open AI’s widely used artificial intelligence bot. For Fender, it was a no-brainer to query it for help developing deep opening questions.
The chatbot and other AI tools like it have found an eager audience among homeschoolers and microschoolers, with parents and teachers readily embracing it as a brainstorming and management tool, even as public schools take a more cautious approach, often banning it outright.
A few observers say AI may even make homeschooling more practical, opening it up to busy parents who might have balked previously.
“Not everyone is using it, but some are very excited about it,” said Amir Nathoo, co-founder of Outschool, an online education platform.
The practical consequences for individual students are significant: students with undiagnosed dyslexia lacked needed supports during the crucial years of early literacy instruction, while students with unrecognized emotional disability went without interventions to help them constructively respond to challenges. And while schools are working to provide compensatory education for gaps in special education services for students who had been identified before the pandemic, their obligations to those who missed identification altogether are far less clear.
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The estimate, which builds on similar research from other states, echoes the concerns of advocates who’ve sounded alarms about the pandemic’s effects on students with disabilities. Such students, they say, missed precious opportunities for earlier interventions because of stalled evaluations.
The Top 10 Emerging Technologies report is a vital source of strategic intelligence. First published in 2011, it draws on insights from scientists, researchers and futurists to identify 10 technologies poised to significantly influence societies and economies. These emerging technologiesare disruptive, attractive to investors and researchers, and expected to achieve considerable scale within five years. This edition expands its analysis by involving over 300 experts from the Forum’s Global Future Councils and a global network of comprising over 2,000 chief editors worldwide from top institutions through Frontiers, a leading publisher of academic research.
Frontier intelligence Claude 3.5 Sonnet sets new industry benchmarks for graduate-level reasoning (GPQA), undergraduate-level knowledge (MMLU), and coding proficiency (HumanEval). It shows marked improvement in grasping nuance, humor, and complex instructions and is exceptional at writing high-quality content with a natural, relatable tone.
2x speed
State-of-the-art vision
Introducing Artifacts—a new way to use Claude We’re also introducing Artifacts on claude.ai, a new feature that expands how you can interact with Claude. When you ask Claude to generate content like code snippets, text documents, or website designs, these Artifacts appear in a dedicated window alongside your conversation.This creates a dynamic workspace where you can see, edit, and build upon Claude’s creations in real-time, seamlessly integrating AI-generated content into your projects and workflows.
If you teach computer science, user interface design, or anything involving web development, you can have students prompt Claude to produce web pages’ source code, see this code produced on the right side, preview it after it has compiled, and iterate through code+preview combinations.
If you teach economics, financial analysis, or accounting, you can have students prompt Claude to create analyses of markets or businesses, including interactive infographics, charts, or reports via React. Since it shows its work with Artifacts, your students can see how different prompts result in different statistical analyses, different representations of this information, and more.
If you teach subjects that produce purely textual outputs without a code intermediary, like philosophy, creative writing, or journalism, your students can compare prompting techniques, easily review their work, note common issues, and iterate drafts by comparing versions.
I see this as the first serious step towards improving the otherwise terrible user interfaces of LLMs for broad use. It may turn out to be a small change in the grand scheme of things, but it sure feels like a big improvement — especially in the pedagogical context.
And speaking of training students on AI, also see:
Schools could enhance their curricula by incorporating debate, Model UN and mock government programs, business plan competitions, internships and apprenticeships, interdisciplinary and project-based learning initiatives, makerspaces and innovation labs, community service-learning projects, student-run businesses or non-profits, interdisciplinary problem-solving challenges, public speaking, and presentation skills courses, and design thinking workshop.
These programs foster essential skills such as recognizing and addressing complex challenges, collaboration, sound judgment, and decision-making. They also enhance students’ ability to communicate with clarity and precision, while nurturing creativity and critical thinking. By providing hands-on, real-world experiences, these initiatives bridge the gap between theoretical knowledge and practical application, preparing students more effectively for the multifaceted challenges they will face in their future academic and professional lives.
Our vision for Claude has always been to create AI systems that work alongside people and meaningfully enhance their workflows. As a step in this direction, Claude.ai Pro and Team users can now organize their chats into Projects, bringing together curated sets of knowledge and chat activity in one place—with the ability to make their best chats with Claude viewable by teammates. With this new functionality, Claude can enable idea generation, more strategic decision-making, and exceptional results.
Projects are available on Claude.ai for all Pro and Team customers, and can be powered by Claude 3.5 Sonnet, our latest release which outperforms its peers on a wide variety of benchmarks. Each project includes a 200K context window, the equivalent of a 500-page book, so users can add all of the relevant documents, code, and insights to enhance Claude’s effectiveness.
And to understand the value of AI, they need to do R&D. Since AI doesn’t work like traditional software, but more like a person (even though it isn’t one), there is no reason to suspect that the IT department has the best AI prompters, nor that it has any particular insight into the best uses of AI inside an organization. IT certainly plays a role, but the actual use cases will come from workers and managers who find opportunities to use AI to help them with their job. In fact, for large companies, the source of any real advantage in AI will come from the expertise of their employees, which is needed to unlock the expertise latent in AI.
Ilya Sutskever, OpenAI’s co-founder and former chief scientist, is starting a new AI company focused on safety. In a post on Wednesday, Sutskever revealed Safe Superintelligence Inc. (SSI), a startup with “one goal and one product:” creating a safe and powerful AI system.
Ilya Sutskever Has a New Plan for Safe Superintelligence — from bloomberg.com by Ashlee Vance (behind a paywall) OpenAI’s co-founder discloses his plans to continue his work at a new research lab focused on artificial general intelligence.
Ilya Sutskever is kind of a big deal in AI, to put it lightly.
Part of OpenAI’s founding team, Ilya was Chief Data Scientist (read: genius) before being part of the coup that fired Sam Altman.
… Yesterday, Ilya announced that he’s forming a new initiative called Safe Superintelligence.
If AGI = AI that can perform a wide range of tasks at our level, then Superintelligence = an even more advanced AI that surpasses human capabilities in all areas.
As the tech giants compete in a global AI arms race, a frenzy of data center construction is sweeping the country. Some computing campuses require as much energy as a modest-sized city, turning tech firms that promised to lead the way into a clean energy future into some of the world’s most insatiable guzzlers of power. Their projected energy needs are so huge, some worry whether there will be enough electricity to meet them from any source.
Federal officials, AI model operators and cybersecurity companies ran the first joint simulation of a cyberattack involving a critical AI system last week.
Why it matters: Responding to a cyberattack on an AI-enabled system will require a different playbook than the typical hack, participants told Axios.
The big picture: Both Washington and Silicon Valley are attempting to get ahead of the unique cyber threats facing AI companies before they become more prominent.
Immediately after we saw Sora-like videos from KLING, Luma AI’s Dream Machine video results overshadowed them.
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Dream Machine is a next-generation AI video model that creates high-quality, realistic shots from text instructions and images.
Introducing Gen-3 Alpha — from runwayml.com by Anastasis Germanidis A new frontier for high-fidelity, controllable video generation.
AI-Generated Movies Are Around the Corner — from news.theaiexchange.com by The AI Exchange The future of AI in filmmaking; participate in our AI for Agencies survey
AI-Generated Feature Films Are Around the Corner.
We predict feature-film length AI-generated films are coming by the end of 2025, if not sooner.
It further seems to me that there is increasingly a divide in the use of generative AI between larger firms and smaller firms. Some will jump on me for saying that, because there are clearly smaller firms that are leading the pack in their development and use of generative AI. (I’m looking at you, Siskind Susser.) By the same token, there are larger firms that have locked their doors to generative AI.
But of the firms that are most openly incorporating generative AI into their workflows, they seem mostly to be larger firms. There is good reason for this. Larger firms have innovation officers and KM professionals and others on staff who are leading the charge on generative AI. Thanks to them, those firms are better equipped to survey the AI landscape and test products under controlled and secure conditions.
Eighteen months ago, the first-of-its-kind Judicial Innovation Fellowship launched with the mission of embedding experienced technologists and designers within state, local, and tribal courts to develop technology-based solutions to improve the public’s access to justice. Housed within the Institute for Technology Law & Policy at Georgetown University Law Center, the program was designed to be a catalyst for innovation to enable courts to better serve the legal needs of the public.
The advances with generative AI tools open new career opportunities for lawyers, from legal tech consultants to junior lawyers supervising AI systems.
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Institutions like Harvard Law School and Yale Law School are introducing courses that focus on AI’s implications in the legal field and such career oppotunities continue to arise.
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Pursuing a career in Legal AI requires a unique blend of legal knowledge and technical skills. There are various educational pathways can equip aspiring professionals with these competencies.
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).
