Making your campus neurodivergent friendly — from timeshighereducation.com
How to create a university where neurodivergent staff and students feel welcome and thrive in the classroom, in the lab and throughout campus

Neurodivergent students and staff think about, interact with and see the world differently from their neurotypical peers and colleagues. Universities that adopt inclusive practices to welcome people with ADHD, autism, dyslexia, dyspraxia and other disabilities to campus also foster their distinct strengths and talents in the classroom, labs, boardrooms and social spaces. This collection of resources offers advice for teachers, researchers, PhD supervisors and administrators for supporting neurodiversity in higher education.


Some Colleges Will Soon Charge $100,000 a Year. How Did This Happen? — from nytimes.com by Ron Lieber; via Ryan Craig
Some Vanderbilt students will have $100,000 in total expenses for the 2024-25 school year. The school doesn’t really want to talk about it.

It was only a matter of time before a college would have the nerve to quote its cost of attendance at nearly $100,000 a year. This spring, we’re catching our first glimpse of it.

One letter to a newly admitted Vanderbilt University engineering student showed an all-in price — room, board, personal expenses, a high-octane laptop — of $98,426. A student making three trips home to Los Angeles or London from the Nashville campus during the year could hit six figures.

This eye-popping sum is an anomaly. Only a tiny fraction of college-going students will pay anything close to this anytime soon, and about 35 percent of Vanderbilt students — those who get neither need-based nor merit aid — pay the full list price.

But a few dozen other colleges and universities that reject the vast majority of applicants will probably arrive at this threshold within a few years. Their willingness to cross it raises two questions for anyone shopping for college: How did this happen, and can it possibly be worth it?


‘Running Out of Road’ for FAFSA Completion — from insidehighered.com by Liam Knox
The number of students who filled out the federal aid form is down nearly 30 percent. The ramifications for access and enrollment could be devastating.

And that’s probably an optimistic estimate, said Bill DeBaun, NCAN’s senior director of data and strategic initiatives; if the pace of completion doesn’t pick up, the decline could be closer to 700,000 students. That could translate to up to a 4 percent drop in college-goers come fall, DeBaun said, which would be the largest enrollment drop since the COVID-19 pandemic—and one that’s likely to be made up primarily of low-income and first-generation students.


Study: Nearly 40 Percent of Students Started, Never Finished College — from insidehighered.com by Kathryn Palmer
Federal researchers followed the post-secondary outcomes of 23,000 students for 12 years. 

Only 60 percent of students who enrolled in college earned a degree or credential within eight years of graduating high school.

That’s one of the biggest takeaways from a new report the National Center for Education Statistics released Monday that analyzed the enrollment, completion and financial aid outcomes of students.

The researchers tracked the postsecondary educational outcomes of roughly 23,000 students beginning in 2009 when they were freshman in high school through 2021, when the cohort was eight years out from graduating high school.


Race to the Finish | The rise of faster bachelor’s degrees raises the question: What is college for? — from chronicle.com by Kelly Field; from Jeff Selingo

Taken together, the two recent decisions illustrate a blurring of the lines between the two- and four-year sectors that is taking place not just in Idaho, but nationwide, as colleges struggle to overcome enrollment declines and skepticism about the value of a bachelor’s degree.

“It’s pretty clear that higher education is in a funk,” said Robert M. Zemsky, a University of Pennsylvania professor, who has been advocating for three-year programs for more than 15 years. “There’s a sense that we have to do something to make the product better, more relevant, and less costly to students.”


Excerpt from Next — from/by Jeff Selingo

Bottom line: While critics of a shorter degree see it as a lesser replacement for the four-year baccalaureate degree, advocates see it as another option for students who might not be interested in college at a time when enrollment is falling.

  • “We need to use this opportunity to redesign and do things better,” Carrell said. “That means that we all need to stay curious. We need to be a learning enterprise…and learn from the evidence we produce.”

Job-Ready on Day One — from the-job.beehiiv.com by Paul Fain

The U.S. faces a serious shortage of workers in the skilled trades—fields like HVAC, plumbing, electrical, solar, and construction. And those labor gaps are likely to widen as the federal government spends billions on infrastructure projects.

Employers in these industries are desperate for hires, says Doug Donovan, the founder and CEO of Interplay Learning. Yet the “challenge is not employer demand for workers,” he says, “but rather ensuring that learners learn about skilled trades careers and pursue them.”

The Austin-based Interplay offers online and VR training for workers in the skilled trades. The company was founded in 2016 with a focus on upskilling the hands-on worker. Even before the pandemic exacerbated labor shortages, Donovan says companies in these trades needed to hire workers who didn’t have all the skills required for jobs.

Interplay’s online courses and 3D, interactive simulations get close to what a learner is going to see on the job, says Donovan. “We aren’t trying to replace hands-on, instructor-led training,” he says. “We are trying to deliver tools that enhance that hands-on time or make it more efficient.”


 

 

The University Student’s Guide To Ethical AI Use  — from studocu.com; with thanks to Jervise Penton at 6XD Media Group for this resource

This comprehensive guide offers:

  • Up-to-date statistics on the current state of AI in universities, how institutions and students are currently using artificial intelligence
  • An overview of popular AI tools used in universities and its limitations as a study tool
  • Tips on how to ethically use AI and how to maximize its capabilities for students
  • Current existing punishment and penalties for cheating using AI
  • A checklist of questions to ask yourself, before, during, and after an assignment to ensure ethical use

Some of the key facts you might find interesting are:

  • The total value of AI being used in education was estimated to reach $53.68 billion by the end of 2032.
  • 68% of students say using AI has impacted their academic performance positively.
  • Educators using AI tools say the technology helps speed up their grading process by as much as 75%.
 

The New Academic Arms Race | Competition over amenities is over. The next battleground is technology. — from chronicle.com by Jeffrey J. Selingo

Now, after the pandemic, with the value of the bachelor’s degree foremost in the minds of students and families, a new academic arms race is emerging. This one is centered around academic innovation. The winners will be those institutions that in the decade ahead better apply technology in teaching and learning and develop different approaches to credentialing.

Sure, technology is often seen as plumbing on campuses — as long as it works, we don’t worry about it. And rarely do prospective students on a tour ever ask about academic innovations like extended reality or microcredentials. Campus tours prefer to show off the bells and whistles of residential life within dorms and dining halls.

That’s too bad.

The problem is not a lack of learners, but rather a lack of alignment in what colleges offer to a generation of learners surrounded by Amazon, Netflix, and Instagram, where they can stream entertainment and music anytime, anywhere.

From DSC:
When I worked for Calvin (then College, now University) from 2007-2017, that’s exactly how technologies and the entire IT Department were viewed — as infrastructure providers. We were not viewed as being able to enhance the core business/offerings of the institution. We weren’t relevant in that area. In fact, the IT Department was shoved down in the basement of the library. Our Teaching & Learning Digital Studio was sidelined in a part of the library where few students went to. The Digitial Studio’s marketing efforts didn’t help much, as faculty members didn’t offer assignments that called for multimedia-based deliverables. It was a very tough and steep hill to climb.

Also the Presidents and Provosts over the last couple of decades (not currently though) didn’t think much of online-based learning, and the top administrators dissed the Internet’s ability to provide 24/7 worldwide conversations and learning. They missed the biggest thing to come along in education in 500 years (since the invention of the printing press). Our Teaching & Learning Group provided leadership by starting a Calvin Online pilot. We had 13-14 courses built and inquiries from Christian-based high schools were coming in for dual enrollment scenarios, but when it came time for the College to make a decision, it never happened. The topic/vote never made it to the floor of the Faculty Senate. The faculty and administration missed an enormous opportunity.

When Calvin College became Calvin University in 2019, they were forced to offer online-based classes. Had they supported our T&L Group’s efforts back in the early to mid-2010’s, they would have dove-tailed very nicely into offering more courses to working adults. They would have built up the internal expertise to offer these courses/programs. But the culture of the college put a stop to online-based learning at that time. They now regret that decision I’m sure (as they’ve had to outsource many things and they now offer numerous online-based courses and even entire programs — at a high cost most likely).

My how times have changed.


For another item re: higher education at the 30,000-foot level, see:


Lifelong Learning Models for a Changing Higher Ed Marketplace — from changinghighered.com by Dr. Drumm McNaughton and Amrit Ahluwalia
Exploring the transformation of higher education into lifelong learning hubs for workforce development, with innovative models and continuing education’s role.

Higher education is undergoing transformational change to redefine its role as a facilitator of lifelong learning and workforce development. In this 200th episode of Changing Higher Ed, host Dr. Drumm McNaughton and guest Amrit Ahluwalia, incoming Executive Director for Continuing Studies at Western University, explore innovative models positioning universities as sustainable hubs for socioeconomic mobility.

The Consumer-Driven Educational Landscape
Over 60% of today’s jobs will be redefined by 2025, driving demand for continuous upskilling and reskilling to meet evolving workforce needs. However, higher education’s traditional model of imparting specific knowledge through multi-year degrees is hugely misaligned with this reality.

Soaring education costs have fueled a consumer mindset shift, with learners demanding a clear return on investment directly aligned with their career goals. The expectation is to see immediate skills application and professional impact from their educational investments, not just long-term outcomes years after completion.


 

Which AI should I use? Superpowers and the State of Play — from by Ethan Mollick
And then there were three

For over a year, GPT-4 was the dominant AI model, clearly much smarter than any of the other LLM systems available. That situation has changed in the last month, there are now three GPT-4 class models, all powering their own chatbots: GPT-4 (accessible through ChatGPT Plus or Microsoft’s CoPilot), Anthropic’s Claude 3 Opus, and Google’s Gemini Advanced1.

Where we stand
We are in a brief period in the AI era where there are now multiple leading models, but none has yet definitively beaten the GPT-4 benchmark set over a year ago. While this may represent a plateau in AI abilities, I believe this is likely to change in the coming months as, at some point, models like GPT-5 and Gemini 2.0 will be released. In the meantime, you should be using a GPT-4 class model and using it often enough to learn what it does well. You can’t go wrong with any of them, pick a favorite and use it…

From DSC:
Here’s a powerful quote from Ethan:

In fact, in my new book I postulate that you haven’t really experienced AI until you have had three sleepless nights of existential anxiety, after which you can start to be productive again.


Using AI for Immersive Educational Experiences — from automatedteach.com by Graham Clay
Realistic video brings course content to life but requires AI literacy.

For us, I think the biggest promise of AI tools like Sora — that can create video with ease — is that they lower the cost of immersive educational experiences. This increases the availability of these experiences, expanding their reach to student populations who wouldn’t otherwise have them, whether due to time, distance, or expense.

Consider the profound impact on a history class, where students are transported to California during the gold rush through hyperrealistic video sequences. This vivifies the historical content and cultivates a deeper connection with the material.

In fact, OpenAI has already demonstrated the promise of this sort of use case, with a very simple prompt producing impressive results…


The Empathy Illusion: How AI Agents Could Manipulate Students — from marcwatkins.substack.com by Marc Watkins

Take this scenario. A student misses a class and, within twenty minutes, receives a series of texts and even a voicemail from a very concerned and empathic-sounding voice wanting to know what’s going on. Of course, the text is entirely generated, and the voice is synthetic as well, but the student likely doesn’t know this. To them, communication isn’t something as easy to miss or brush off as an email. It sounds like someone who cares is talking to them.

But let’s say that isn’t enough. By that evening, the student still hadn’t logged into their email or checked the LMS. The AI’s strategic reasoning is communicating with the predictive AI and analyzing the pattern of behavior against students who succeed or fail vs. students who are ill. The AI tracks the student’s movements on campus, monitors their social media usage, and deduces the student isn’t ill and is blowing off class.

The AI agent resumes communication with the student. But this time, the strategic AI adopts a different persona, not the kind and empathetic persona used for the initial contact, but a stern, matter-of-fact one. The student’s phone buzzes with alerts that talk about scholarships being lost, teachers being notified, etc. The AI anticipates the excuses the student will use and presents evidence tracking the student’s behavior to show they are not sick.


Not so much focused on learning ecosystems, but still worth mentioning:

The top 100 Gen AI Consumer Apps — from a16z.com / andreessen horowitz by Olivia Moore


 

 

Talent Disrupted: College Graduates, Underemployment, and the Way Forward — from stradaeducation.org

Most people enroll in college because they believe it will help them secure a good job and open the door to economic opportunity. In “Talent Disrupted,” a new and updated version of the 2018 report, “The Permanent Detour,” Strada Institute for the Future of Work and The Burning Glass Institute show that a college degree is not always a guarantee of labor market success.

Using a combination of online career histories of tens of millions of graduates, as well as census microdata for millions of graduates, the report offers a comprehensive picture of how college graduates fare in the job market over their first decade of employment after college.

The report shows that only about half of bachelor’s degree graduates secure employment in a college-level job within a year of graduation.

Also see:

Half of College Grads Are Working Jobs That Don’t Use Their Degrees — from wsj.com by Vanessa Fuhrmans and Lindsay Ellis
Choice of major, internships and getting the right first job after graduation are critical to career paths, new data show

Roughly half of college graduates end up in jobs where their degrees aren’t needed, and that underemployment has lasting implications for workers’ earnings and career paths.

That is the key finding of a new study tracking the career paths of more than 10 million people who entered the job market over the past decade. It suggests that the number of graduates in jobs that don’t make use of their skills or credentials—52%—is greater than previously thought, and underscores the lasting importance of that first job after graduation.


 

Using Generative AI throughout the Institution — from aiedusimplified.substack.com by Lance Eaton
8 lightning talk on generative AI and how to use it through higher education


The magic of AI to help educators with saving time. — from magicschool.ai; via Mrs. Kendall Sajdak


Getting Better Results out of Generative AI — from aiedusimplified.substack.com by Lance Eaton
The prompt to use before you prompt generative AI

Last month, I discussed a GPT that I had created around enhancing prompts. Since then, I have been actively using my Prompt Enhancer GPT to much more effective outputs. Last week, I did a series of mini-talks on generative AI in different parts of higher education (faculty development, human resources, grants, executive leadership, etc) and structured it as “5 tips”. I included a final bonus tip in all of them—a tip that I heard from many afterwards was probably the most useful tip—especially because you can only access the Prompt Enhancer GPT if you are paying for ChatGPT.


Exploring the Opportunities and Challenges with Generative AI — from er.educause.edu by Veronica Diaz

Effectively integrating generative AI into higher education requires policy development, cross-functional engagement, ethical principles, risk assessments, collaboration with other institutions, and an exploration of diverse use cases.


Creating Guidelines for the Use of Gen AI Across Campus — from campustechnology.com by Rhea Kelly
The University of Kentucky has taken a transdisciplinary approach to developing guidelines and recommendations around generative AI, incorporating input from stakeholders across all areas of the institution. Here, the director of UK’s Center for the Enhancement of Learning and Teaching breaks down the structure and thinking behind that process.

That resulted in a set of instructional guidelines that we released in August of 2023 and updated in December of 2023. We’re also looking at guidelines for researchers at UK, and we’re currently in the process of working with our colleagues in the healthcare enterprise, UK Healthcare, to comb through the additional complexities of this technology in clinical care and to offer guidance and recommendations around those issues.


From Mean Drafts to Keen Emails — from automatedteach.com by Graham Clay

My experiences match with the results of the above studies. The second study cited above found that 83% of those students who haven’t used AI tools are “not interested in using them,” so it is no surprise that many students have little awareness of their nature. The third study cited above found that, “apart from 12% of students identifying as daily users,” most students’ use cases were “relatively unsophisticated” like summarizing or paraphrasing text.

For those of us in the AI-curious bubble, we need to continually work to stay current, but we also need to recognize that what we take to be “common knowledge” is far from common outside of the bubble.


What do superintendents need to know about artificial intelligence? — from k12dive.com by Roger Riddell
District leaders shared strategies and advice on ethics, responsible use, and the technology’s limitations at the National Conference on Education.

Despite general familiarity, however, technical knowledge shouldn’t be assumed for district leaders or others in the school community. For instance, it’s critical that any materials related to AI not be written in “techy talk” so they can be clearly understood, said Ann McMullan, project director for the Consortium for School Networking’s EmpowerED Superintendents Initiative.

To that end, CoSN, a nonprofit that promotes technological innovation in K-12, has released an array of AI resources to help superintendents stay ahead of the curve, including a one-page explainer that details definitions and guidelines to keep in mind as schools work with the emerging technology.


 

Affordability and Microcredentials — from the-job.beehiiv.com by Paul Fain
Cutting costs for short-term credentials with course sharing and, perhaps, federal money.

‘Bespoke, e-Commerce-Enabled Storefronts’
Demand for nondegree credentials has risen. But it can be expensive and tricky for colleges to create their own workforce-relevant courses and certifications. Homegrown microcredentials also may be more likely to fall flat with students and employers, particularly in competition with professional certificates from big brands like Salesforce or AWS.

Acadeum, an online course-sharing company, is betting that a networked marketplace will be a better option for its 460 college and university partners, which include a growing number of community colleges. Beginning last month, those colleges can tap into 380+ online certificates, certifications, and skills-training courses.

“Skills Marketplace lowers the barrier of entry for institutions to self-select only the certifications that align their program offerings to meet student and workforce demand,” says David Daniels, Acadeum’s president and CEO.

 

The Transformative Trends Reshaping Higher Education in 2024 — from evolllution.com by Janet Spriggs; via Amrit Ahluwalia on LinkedIn

  • Artificial Intelligence: Embrace It or Fall Behind
  • Reassessing Value: Tackling Confidence and ROI in Higher Education
  • Innovating for the Future: Adapting to Changing Needs
  • Fostering Strategic Partnerships: Collaboration for Progress
  • Leadership Matters: Driving Innovation and Inclusivity
 

Augment teaching with AI – this teacher has it sussed… — from donaldclarkplanb.blogspot.com by Donald Clark

Emphasis (emphasis DSC):

You’re a teacher who wants to integrate AI into your teaching. What do you do? I often get asked how should I start with AI in my school or University. This, I think, is one answer.

Continuity with teaching
One school has got this exactly right in my opinion. Meredith Joy Morris has implemented ChatGPT into the teaching process. The teacher does their thing and the chatbot picks up where the teacher stops, augmenting and scaling the teaching and learning process, passing the baton to the learners who carry on. This gives the learner a more personalised experience, encouraging independent learning by using the undoubted engagement that 1:1 dialogue provides.

There’s no way any teacher can provide this carry on support with even a handful of students, never mind a class of 30 or a course with 100. Teaching here is ‘extended’ and ‘scaled’ by AI. The feedback from the students was extremely positive.


Reflections on Teaching in the AI Age — from by Jeffrey Watson

The transition which AI forces me to make is no longer to evaluate writings, but to evaluate writers. I am accustomed to grading essays impersonally with an objective rubric, treating the text as distinct from the author and commenting only on the features of the text. I need to transition to evaluating students a bit more holistically, as philosophers – to follow along with them in the early stages of the writing process, to ask them to present their ideas orally in conversation or in front of their peers, to push them to develop the intellectual virtues that they will need if they are not going to be mastered by the algorithms seeking to manipulate them. That’s the sort of development I’ve meant to encourage all along, not paragraph construction and citation formatting. If my grading practices incentivize outsourcing to a machine intelligence, I need to change my grading practices.


4 AI Imperatives for Higher Education in 2024 — from campustechnology.com by Rhea Kelly

[Bryan Alexander] There’s a crying need for faculty and staff professional development about generative AI. The topic is complicated and fast moving. Already the people I know who are seriously offering such support are massively overscheduled. Digital materials are popular. Books are lagging but will gradually surface. I hope we see more academics lead more professional development offerings.

For an academic institution to take emerging AI seriously it might have to set up a new body. Present organizational nodes are not necessarily a good fit.


A Technologist Spent Years Building an AI Chatbot Tutor. He Decided It Can’t Be Done. — from edsurge.com by Jeffrey R. Young
Is there a better metaphor than ‘tutor’ for what generative AI can do to help students and teachers?

When Satya Nitta worked at IBM, he and a team of colleagues took on a bold assignment: Use the latest in artificial intelligence to build a new kind of personal digital tutor.

This was before ChatGPT existed, and fewer people were talking about the wonders of AI. But Nitta was working with what was perhaps the highest-profile AI system at the time, IBM’s Watson. That AI tool had pulled off some big wins, including beating humans on the Jeopardy quiz show in 2011.

Nitta says he was optimistic that Watson could power a generalized tutor, but he knew the task would be extremely difficult. “I remember telling IBM top brass that this is going to be a 25-year journey,” he recently told EdSurge.


Teachers stan AI in education–but need more support — from eschoolnews.com by Laura Ascione

What are the advantages of AI in education?
Canva’s study found 78 percent of teachers are interested in using AI education tools, but their experience with the technology remains limited, with 93 percent indicating they know “a little” or “nothing” about it – though this lack of experience hasn’t stopped teachers quickly discovering and considering its benefits:

  • 60 percent of teachers agree it has given them ideas to boost student productivity
  • 59 percent of teachers agree it has cultivated more ways for their students to be creative
  • 56 percent of teachers agree it has made their lives easier

When looking at the ways teachers are already using generative artificial intelligence, the most common uses were:

  • Creating teaching materials (43 percent)
  • Collaborative creativity/co-creation (39 percent)
  • Translating text (36 percent)
  • Brainstorming and generating ideas (35 percent)

The next grand challenge for AI — from ted.com by Jim Fan


The State of Washington Embraces AI for Public Schools — from synthedia.substack.com by Bret Kinsella; via Tom Barrett
Educational institutions may be warming up to generative AI

Washington state issued new guidelines for K-12 public schools last week based on the principle of “embracing a human-centered approach to AI,” which also embraces the use of AI in the education process. The state’s Superintendent of Public Instruction, Chris Reykdal, commented in a letter accompanying the new guidelines:


New education features to help teachers save time and support students — from by Shantanu Sinha

Giving educators time back to invest in themselves and their students
Boost productivity and creativity with Duet AI: Educators can get fresh ideas and save time using generative AI across Workspace apps. With Duet AI, they can get help drafting lesson plans in Docs, creating images in Slides, building project plans in Sheets and more — all with control over their data.

 

Hologram lecturers thrill students at trailblazing UK university — from theguardian.com by Rachel Hall

Prof Vikki Locke and Prof Gary Burnett try out the hologram technology. Photograph: Christopher Thomond/The Guardian

Any university lecturer will tell you that luring students to a morning lecture is an uphill struggle. But even the most hungover fresher would surely be enticed by a physics lesson from Albert Einstein or a design masterclass from Coco Chanel.

This could soon be the reality for British students, as some universities start to beam in guest lecturers from around the globe using the same holographic technology that is used to bring dead or retired singers back to the stage.

 

Unlocking productivity and personalizing learning with AI — from educationblog.microsoft.com by Microsoft Education Team

Today, we’re announcing the next wave of AI innovations from Microsoft Education that will help unlock productivity and personalize learning. This includes expanded Copilot for Microsoft 365 availability and Loop coming to education. We’re also sharing news about AI built for education such as Reading Coach and features designed to free up time for educators and personalize learning. As part of our continued work to build AI literacy, we’ve launched our latest course for educators and a new learning path on Microsoft Learn. And earlier this week we outlined Microsoft’s position and themes for policymakers to consider around advancing youth online safety and wellness.

With the latest AI technology, we have an opportunity to provide learners with personalized, engaging, and transformative reading experiences. Reading Coach, a Learning Accelerator now powered by generative AI, does just that. You can sign up for a preview of Reading Coach today and try it for yourself at coach.microsoft.com.


Recap: Winter AI Institute for Teachers — from umcetl.substack.com

Last week, CETL partnered with the Department of Writing and Rhetoric to offer a second iteration of the AI Institute for Teachers to an audience of UM instructors from across disciplines. Nearly 60 faculty from 26 different departments and schools attended the three-day event. In a wide variety of interactive sessions designed by Institute leader Marc Watkins, participants examined the impact of generative AI on teaching and learning, working in small groups to consider how to approach AI in their own disciplines.

If you’re not a UM faculty member or couldn’t attend the sessions, we have good news! All the materials from the Institute are publicly available at the following links:

And we’ve written a short recap of the Institute here.


Learn with AI from U Maine

Learn with AI — from the University of Maine

Rather than try to ban this technology from classrooms outright, the Learning With AI project asks if this moment offers an opportunity to introduce students to the ethical and economic questions wreaked by these new tools, as well as to experiment with progressive forms of pedagogy that can exploit them.

 

OpenAI announces first partnership with a university — from cnbc.com by Hayden Field

Key Points:

  • OpenAI on Thursday announced its first partnership with a higher education institution.
  • Starting in February, Arizona State University will have full access to ChatGPT Enterprise and plans to use it for coursework, tutoring, research and more.
  • The partnership has been in the works for at least six months.
  • ASU plans to build a personalized AI tutor for students, allow students to create AI avatars for study help and broaden the university’s prompt engineering course.

A new collaboration with OpenAI charts the future of AI in higher education — from news.asu.edu

The collaboration between ASU and OpenAI brings the advanced capabilities of ChatGPT Enterprise into higher education, setting a new precedent for how universities enhance learning, creativity and student outcomes.

“ASU recognizes that augmented and artificial intelligence systems are here to stay, and we are optimistic about their ability to become incredible tools that help students to learn, learn more quickly and understand subjects more thoroughly,” ASU President Michael M. Crow said. “Our collaboration with OpenAI reflects our philosophy and our commitment to participating directly to the responsible evolution of AI learning technologies.”


AI <> Academia — from drphilippahardman.substack.com by Dr. Philippa Hardman
What might emerge from ASU’s pioneering partnership with OpenAI?

Phil’s Wish List #2: Smart Curriculum Development
ChatGPT assists in creating and updating course curricula, based on both student data and emerging domain and pedagogical research on the topic.

Output: using AI it will be possible to review course content and make data-informed automate recommendations based on latest pedagogical and domain-specific research

Potential Impact: increased dynamism and relevance in course content and reduced administrative lift for academics.


A full list of AI ideas from AI for Education dot org

A full list of AI ideas from AI-for-Education.org

You can filter by category, by ‘What does it do?’, by AI tool or search for keywords.


Navigating the new normal: Adapting in the age of AI and hybrid work models — from chieflearningofficer.com by Dr. Kylie Ensrud

Unlike traditional leadership, adaptable leadership is not bound by rigid rules and protocols. Instead, it thrives on flexibility. Adaptable leaders are willing to experiment, make course corrections, and pivot when necessary. Adaptable leadership is about flexibility, resilience and a willingness to embrace change. It embodies several key principles that redefine the role of leaders in organizations:

  1. Embracing uncertainty

Adaptable leaders understand that uncertainty is the new norm. They do not shy away from ambiguity but instead, see it as an opportunity for growth and innovation. They encourage a culture of experimentation and learning from failure.

  1. Empowering teams

Instead of dictating every move, adaptable leaders empower their teams to take ownership of their work. They foster an environment of trust and collaboration, enabling individuals to contribute their unique perspectives and skills.

  1. Continuous learning

Adaptable leaders are lifelong learners. They are constantly seeking new knowledge, stay informed about industry trends and encourage their teams to do the same. They understand that knowledge is a dynamic asset that must be constantly updated.


Major AI in Education Related Developments this week — from stefanbauschard.substack.com by Stefan Bauschard
ASU integrates with ChatGPT, K-12 AI integrations, Agents & the Rabbit, Uruguay, Meta and AGI, Rethinking curriculum

“The greatest risk is leaving school curriculum unchanged when the entire world is changing.”
Hadi Partovi, founder Code.org, Angel investor in Facebook, DropBox, AirBnb, Uber

Tutorbots in college. On a more limited scale, Georgia State University, Morgan State University, and the University of Central Florida are piloting a project using chatbots to support students in foundational math and English courses.


Pioneering AI-Driven Instructional Design in Small College Settings — from campustechnology.com by Gopu Kiron
For institutions that lack the budget or staff expertise to utilize instructional design principles in online course development, generative AI may offer a way forward.

Unfortunately, smaller colleges — arguably the institutions whose students are likely to benefit the most from ID enhancements — frequently find themselves excluded from authentically engaging in the ID arena due to tight budgets, limited faculty online course design expertise, and the lack of ID-specific staff roles. Despite this, recent developments in generative AI may offer these institutions a low-cost, tactical avenue to compete with more established players.


Google’s new AI solves math olympiad problems — from bensbites.beehiiv.com

There’s a new AI from Google DeepMind called AlphaGeometry that totally nails solving super hard geometry problems. We’re talking problems so tough only math geniuses who compete in the International Mathematical Olympiad can figure them out.


 

The future of learning — from moodle.com by Sonya Trivedi

Self-directed and continuous learning
The concept of self-directed and continuous learning is becoming increasingly popular, reshaping our approach to knowledge and skill acquisition in both formal education and workplace settings. This evolving landscape reflects a world where traditional career paths are being replaced by more dynamic and flexible models, compelling learners to adapt and grow continuously.

The Future of Learning Report 2022 highlights this shift, noting the diminishing concept of a ‘career for life.’ With regular job switching and the expansion of the gig economy, there is an increasing need for a workforce equipped with a broad range of skills and the ability to gain qualifications throughout their careers. This shift is underlined by learners increasingly seeking control over their educational journeys, understanding that the ongoing acquisition of knowledge and skills is essential for staying relevant in the rapidly changing world of work. Reflecting this trend, a significant portion of learners, 33%, are choosing online platforms for their flexibility and ability to cater to individual needs and schedules.

From DSC:
The next paragraph after the above excerpt says:

Much like how companies such as Uber and Airbnb have reshaped their respective industries without owning traditional assets, the future of education might see universities functioning as the ‘Netflix of learning.’ In this model, learners comfortably source their educational experiences from various platforms, assembling their qualifications to create a personalised and continuously evolving portfolio of skills??.

But I don’t think it will be universities that function as the “Netflix of learning” as I don’t think the cultures of most institutions of traditional higher education can deal with that kind of innovation. I hope I’m wrong.

I think it will be a new, global, lifelong learning platform that originates outside of higher education. It will be bigger than higher education, K12, corporate training, or vocational training — as such a 21st-century, AI-based platform will offer all of the above and more.

Learning from the living AI-based class room


Slow Shift to Skills — from the-job.beehiiv.com by Paul Fain

Real progress in efforts to increase mobility for nondegree workers is unlikely during the next couple years, Joseph Fuller, a professor at Harvard University’s business school who co-leads its Managing the Future of Work initiative, recently told me.

Yet Fuller is bullish on skills-based hiring becoming a real thing in five to 10 years. That’s because he predicts that AI will create the data to solve the skills taxonomy problem Kolko describes. And if skills-based hiring allows for serious movement for workers without bachelor’s degrees, Fuller says the future will look like where Texas is headed.


Report: Microcredentials Not a Strategic Priority for Many Colleges — from insidehighered.com by Kathryn Palmer
A new report finds that while most colleges surveyed embrace alternative credentials, many have a decentralized approach for creating and managing them.

While the majority of colleges focused on online, professional and continuing education have embraced alternative credentials, a significant number of those institutions haven’t made them a strategic priority.

That’s one of the key takeaways from a new study released Monday by UPCEA, the organization previously known as the University Professional and Continuing Education Association. University Professional and Continuing Education Association.

“While a lot of institutions want this, they don’t necessarily all know how” to deliver alternative credentials, said Bruce Etter, UPCEA’s senior director of research and consulting. “Embracing it is great, but now it needs to be part of the strategic plan.”


The Higher Learning Commission’s Credential Lab — from hlcommission.org

HLC’s Credential Lab


10 higher ed trends to watch in 2024 — from insidetrack.org by

Trend 1.
Linking education to career paths

Trend 2.
Making sense of the AI explosion

Trend 3.
Prioritizing mental health on campus

…plus 7 other trends


North Carolina’s Community Colleges Make a Big Bid to Stay Relevant — from workshift.opencampusmedia.org by Margaret Moffett
The system is poised to ask state legislators to overhaul its funding formula to focus on how well colleges prepare students for high-demand, well-paying jobs.

The new formula would pay a premium to each college based on labor-market outcomes: the more students enrolled in courses in high-demand, high-paying workforce sectors, the more money the college receives.

Importantly, the proposed formula makes no distinction between curricular courses that count toward degree programs and noncredit continuing education classes, which historically offer fewer slots for students because of their lower FTE reimbursement rates.



Supporting Career and Technical Education — from bloomberg.org via Paul Fain

The American job market is changing. A high school diploma is no longer a ticket to a good job now, an increasing number of employers are offering “middle-skill jobs” that require more than a high school diploma but less than a bachelor’s degree. Industries like health care, IT, advanced manufacturing, and financial services continue to see sustained growth at all levels, and they need workers with the experience and the credentials to fill new positions. Bloomberg Philanthropies is investing in programs that help young people get the specialized training they need through internships, apprenticeships, academics, and work-based learning.

 

Four Disruptive Trends For Higher Ed In 2024 — from michaelbhorn.substack.com by Michael B. Horn

  1. More colleges will close or merge.
  2. Online learning will continue to have its moment, but a shakeout is beginning.
  3. Big colleges and universities will get bigger.
  4. Apprenticeships will gain more traction outside of the trades.

Speaking of higher education and disruptions, also see the following item — via Ray Schroeder on LinkedIn:


Experts predicted dozens of colleges would close in 2023 – and they were right — from hechingerreport.org by Olivia Sanchez
Even more colleges will likely close in coming years as enrollment problems worsen

Though college enrollment seems to be stabilizing after the pandemic disruptions, predictions for the next 15 years are grim. Colleges will be hurt financially by fewer tuition-paying students, and many will have to merge with other institutions or make significant changes to the way they operate if they want to keep their doors open.

At least 30 colleges closed their only or final campus in the first 10 months of 2023, including 14 nonprofit colleges and 16 for-profit colleges, according to an analysis of federal data by the State Higher Education Executive Officers Association, or SHEEO. Among nonprofits, this came on the heels of 2022, when 23 of them closed, along with 25 for-profit institutions. Before 2022, the greatest number of nonprofit colleges that closed in a single year was 13.


 

AI University for UK? — from donaldclarkplanb.blogspot.com by Donald Clark

Tertiary Education in the UK needs a fresh idea. What we need is an initiative on the same scale as The Open University, kicked off over 50 years ago.

It is clear that an educational vision is needed and I think the best starting point is that outlined and executed by Paul LeBlanc at SNHU. It is substantial, well articulated and has worked in what has become the largest University in the US.

It would be based on the competence model, with a focus on skills shortages. Here’s a starter with 25 ideas, a manifesto of sorts, based on lessons learnt from other successful models:

  1. Non-traditional students in terms of age and background
  2. Quick and easy application process
  3. Personalised learning using AI
  4. Multimodal from the start
  5. Full range of summarisation, create self-assessment, dialogue tools
  6. Focus on generative learning using AI
  7. …and Donald lists many more (ending at #25)
 
© 2024 | Daniel Christian