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.
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.
“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.
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.
We have to provide instructors the support they need to leverage educational technologies like generative AI effectively in the service of learning. Given the amount of benefit that could accrue to students if powerful tools like generative AI were used effectively by instructors, it seems unethical not to provide instructors with professional development that helps them better understand how learning occurs and what effective teaching looks like. Without more training and support for instructors, the amount of student learning higher education will collectively “leave on the table” will only increase as generative AI gets more and more capable. And that’s a problem.
From DSC: As is often the case, David put together a solid posting here. A few comments/reflections on it:
I agree that more training/professional development is needed, especially regarding generative AI. This would help achieve a far greater ROI and impact.
The pace of change makes it difficult to see where the sand is settling…and thus what to focus on
The Teaching & Learning Groups out there are also trying to learn and grow in their knowledge (so that they can train others)
The administrators out there are also trying to figure out what all of this generative AI stuff is all about; and so are the faculty members. It takes time for educational technologies’ impact to roll out and be integrated into how people teach.
As we’re talking about multiple disciplines here, I think we need more team-based content creation and delivery.
There needs to be more research on how best to use AI — again, it would be helpful if the sand settled a bit first, so as not to waste time and $$. But then that research needs to be piped into the classrooms far better. .
From DSC: I’ve been wondering about collaborations, consortiums, and other forms of pooling resources within higher education for quite some time. As such, this an interesting item to me.
Introducing Gen-3 Alpha: Runway’s new base model for video generation.
Gen-3 Alpha can create highly detailed videos with complex scene changes, a wide range of cinematic choices, and detailed art directions.https://t.co/YQNE3eqoWf
Introducing GEN-3 Alpha – The first of a series of new models built by creatives for creatives. Video generated with @runwayml‘s new Text-2-Video model.
Learning personalisation. LinkedIn continues to be bullish on its video-based learning platform, and it appears to have found a strong current among users who need to skill up in AI. Cohen said that traffic for AI-related courses — which include modules on technical skills as well as non-technical ones such as basic introductions to generative AI — has increased by 160% over last year.
You can be sure that LinkedIn is pushing its search algorithms to tap into the interest, but it’s also boosting its content with AI in another way.
For Premium subscribers, it is piloting what it describes as “expert advice, powered by AI.” Tapping into expertise from well-known instructors such as Alicia Reece, Anil Gupta, Dr. Gemma Leigh Roberts and Lisa Gates, LinkedIn says its AI-powered coaches will deliver responses personalized to users, as a “starting point.”
These will, in turn, also appear as personalized coaches that a user can tap while watching a LinkedIn Learning course.
Personalized learning for everyone: Whether you’re looking to change or not, the skills required in the workplace are expected to change by 68% by 2030.
Expert advice, powered by AI: We’re beginning to pilot the ability to get personalized practical advice instantly from industry leading business leaders and coaches on LinkedIn Learning, all powered by AI. The responses you’ll receive are trained by experts and represent a blend of insights that are personalized to each learner’s unique needs. While human professional coaches remain invaluable, these tools provide a great starting point.
Personalized coaching, powered by AI, when watching a LinkedIn course: As learners —including all Premium subscribers — watch our new courses, they can now simply ask for summaries of content, clarify certain topics, or get examples and other real-time insights, e.g. “Can you simplify this concept?” or “How does this apply to me?”
BRASILIA, June 10 (Reuters) – Brazil’s government is hiring OpenAI to expedite the screening and analysis of thousands of lawsuits using artificial intelligence (AI), trying to avoid costly court losses that have weighed on the federal budget.
The AI service will flag to government the need to act on lawsuits before final decisions, mapping trends and potential action areas for the solicitor general’s office (AGU).
Using generative AI tools, lawyers saved 45% of the time they said it would otherwise have taken them to write a first draft of a legal brief—about 2.5 hours saved per briefing draft, the firm said in a release. They also saved 80% of the time it would have taken them to draft UK corporate filings “requiring review and extraction of information from articles of association”; and 59% of the time it would have taken them to draft reports about industries and sectors using company filings.
Output produced by generative AI was at least as accurate, or legally correct, as a human lawyer’s first draft in 67% of cases. Human output had higher average scores for accuracy, and the AI content had greater variations than human-created content in how accurate it was.
The panel was unable to identify half of the AI-created output as coming from AI, but it made no mistakes on identifying human-created content.
Survey: Most Students Approve of Education Quality, Climate — from insidehighered.com by Colleen Flaherty Initial findings from Inside Higher Ed’s annual Student Voice survey challenge popular narratives about how college is failing students, while also pointing to areas for improvement.
Public doubts about higher education may be increasing, but three in four current students rate the quality of education they’re receiving as good (46 percent) or excellent (27 percent), according to just-in results from Inside Higher Ed’s annual Student Voice survey. This is relatively consistent across institution types.
