Top 6 Use Cases of Generative AI in Education in 2024 — from research.aimultiple.com by Cem Dilmegani

Use cases included:

  1. Personalized Lessons
  2. Course Design
  3. Content Creation for Courses
  4. Data Privacy Protection for Analytical Models
  5. Restoring Old Learning Materials
  6. Tutoring

The Next Phase of AI in Education at the U.S. Department of Education — from medium.com by Office of Ed Tech

Why are we doing this work?
Over the past two years, the U.S. Department of Education has been committed to maintaining an ongoing conversation with educators, students, researchers, developers — and the educational community at large — related to the continuous progress of Artificial Intelligence (AI) development and its implications for teaching and learning.

Many educators are seeking resources clarifying what AI is and how it will impact their work and their students. Similarly, developers of educational technology (“edtech”) products seek guidance on what guardrails exist that can support their efforts. After the release of our May 2023 report Artificial Intelligence and the Future of Teaching and Learningwe heard the desire for more.


2024 EDUCAUSE AI Landscape Study — from library.educause.edu by Jenay Robert

Moving from reaction to action, higher education stakeholders are currently exploring the opportunities afforded by AI for teaching, learning, and work while maintaining a sense of caution for the vast array of risks AI-powered technologies pose. To aid in these efforts, we present this inaugural EDUCAUSE AI Landscape Study, in which we summarize the higher education community’s current sentiments and experiences related to strategic planning and readiness, policies and procedures, workforce, and the future of AI in higher education.


AI Update for K-16 Administrators: More People Need to Step-Up and Take the AI Bull By the Horns — from stefanbauschard.substack.com by Stefan Bauschard
AI capabilities are way beyond what most schools are aware of, and they will transform education and society over the next few years.

Educational administrators should not worry about every AI development, but should, instead focus on the big picture, as those big picture changes will change the entire world and the educational system.

AI and related technologies (robotics, synthetic biology, and brain-computer interfaces) will continue to impact society and the entire educational system over the next 10 years. This impact on the system will be greater than anything that has happened over the last 100 years, including COVID-19, as COVID-19 eventually ended and the disruptive force of these technologies will only continue to develop.

AI is the bull in the China Shop, redefining the world and the educational system. Students writing a paper with AI is barely a poke in the educational world relative to what is starting to happen (active AI teachers and tutors; AI assessment; AI glasses; immersive learning environments; young students able to start their own business with AI tools; AIs replacing and changing jobs; deep voice and video fakes; intelligence leveling; individualized instruction; interactive and highly intelligent computers; computers that can act autonomously; and more).


 

 

Digital Learning Pulse Survey Reveals Higher-Ed Unprepared for Expected Impact of AI — from prnewswire.com by Cengage
Research illustrates that while GenAI could ease ongoing challenges in education, just 1 in 5 say their school is ready

WASHINGTONFeb. 6, 2024 /PRNewswire/ — While three-quarters of higher-education trustees (83%), faculty (81%) and administrators (76%) agree that generative artificial intelligence (GenAI) will noticeably change their institutions in the next five years, community college trustees are more optimistic than their community college counterparts, with (37%) saying their organization is prepared for the change coming compared to just 16% of faculty and 11% of administrator respondents.

Those findings are from the 2023-2024 Digital Learning Pulse Survey conducted by Cengage and Bay View Analytics with support from the Association of Community College Trustees (ACCT), the Association of College and University Educators (ACUE), College Pulse and the United States Distance Learning Association (USDLA) to understand the attitudes and concerns of higher education instructors and leadership.

From DSC:
It takes time to understand what a given technology brings to the table…let alone a slew of emerging technologies under the artificial intelligence (AI) umbrella. It’s hard enough when the technology is fairly well established and not changing all the time. But its extremely difficult when significant change occurs almost daily. 

The limited staff within the teaching & learning centers out there need time to research and learn about the relevant technologies and how to apply those techs to instructional design. The already stretched thin faculty members need time to learn about those techs as well — and if and how they want to apply them. It takes time and research and effort.

Provosts, deans, presidents, and such need time to learn things as well.

Bottom line: We need to have realistic expectations here.


AI Adoption in Corporate L&D — from drphilippahardman.substack.com by Dr. Philippa Hardman
Where we are, and the importance of use cases in enabling change

At the end of last year, O’Reilly Media published a comprehensive report on the adoption and impact of generative AI within enterprises.

The headline of the report is that we’ve never seen a technology adopted in enterprise as fast as generative AI. As of November 2023, two-thirds (67%) of survey respondents reported that their companies are using generative AI.

However, the vast majority of AI adopters in enterprise are still in the early stages; they’re experimenting at the edges, rather than making larger-scale, strategic decisions on how to leverage AI to accelerate our progress towards org goals and visions.

The single biggest hurdle to AI adoption in large corporates is a lack of appropriate use cases.

 

Conversational & Experiential: The New Duality of Learning — from learningguild.com by Markus Bernhardt

Excerpt (emphasis DSC):

The future of corporate learning and development (L&D) is being profoundly reshaped by the progress we are witnessing in artificial intelligence (AI). The increasing availability of new technologies and tools is causing L&D leaders and their teams to rethink their strategy and processes, and even their team structure. The resulting shift, already gaining momentum, will soon move us toward a future where learning experiences are deeply personal, interactive, and contextually rich.

The technological advancements at the forefront of this revolution:

  • Allow us to create high-quality content faster and at a fraction of the cost previously experienced.
  • Provide us with a range of new modalities of delivery, such as chat interfaces, as well as immersive and experiential simulations and games.
  • Enable us to transform learning and training more and more into a journey uniquely tailored to each individual’s learning path, strengths, weaknesses, and confidence levels.

We are already seeing signs of the immediate future—one where AI will adapt not only content but the entire learner experience, on-the-fly and aligned with the needs and requirements of the learner at a specific moment of need.


Harnessing AI in L&D: Reviewing 2023 & Imagining the Future — from learningguild.com by Juan Naranjo

Excerpt (emphasis DSC):

AI-assisted design & development work: A dramatic shift
This prediction was right. There has been a seismic shift in instructional design, and the role is evolving toward content curation, editing, and resource orchestration. Critical thinking skills are becoming more important than ever to make sure that the final learning asset is accurate. All of this is happening thanks to AI tools like:

  • Adobe Firefly…
  • ChatGPT…
  • Another tool, one that isn’t usually part of the L&D ecosystem, is Microsoft’s Azure AI Services…

Early estimates indicate these improvements save between 30 percent and 60 percent of development time.

As a reminder, meta-learning, in this context, refers to tools that serve up experiences to learners based on their preferences, needs, and goals. It is the superstructure behind the content assets (e.g., programs, courses, articles, videos, etc.) that assembles everything into a coherent, and purposeful, body of knowledge for the users.

 

Healthcare High Schools — from the-job.beehiiv.com by Paul Fain
Bloomberg and hospitals back dual-enrollment path from K-12 to high-demand jobs.

More career exploration in high school is needed to help Americans make better-informed choices about their education and job options, experts agree. And serious, employer-backed efforts to tighten connections between school and work are likely to emerge first in healthcare, given the industry’s severe staffing woes.

A new $250M investment by Bloomberg Philanthropies could be an important step in this direction. The money will seed the creation of healthcare-focused high schools in 10 U.S. locations, with a plan to enroll 6K students who will graduate directly from the early-college high schools into high-demand healthcare jobs that pay family-sustaining wages.


Microschools Take Center Stage with New Opportunities for Learning for 2024 — from the74million.org by Andrew Campanella
Campanella: More than 27,000 schools and organizations are celebrating National School Choice Week. Yours can, too

Last year, the landscape of K-12 education transformed as a record-breaking 20 states expanded school choice options. However, that is not the only school choice story to come out of 2023. As the nation steps into 2024, a fresh emphasis on innovation has emerged, along with new options for families. This is particularly true within the realm of microschooling.

Microschooling is an education model that is small by design — typically with 15 or fewer students of varying ages per class. It fosters a personalized and community-centric approach to learning that is especially effective in addressing the unique educational needs of diverse student populations. Programs like Education Savings Accounts are helping to fuel these microschools.


My Students Can’t Meet Academic Standards Because the School Model No Longer Fits Them — from edsurge.com by Sachin Pandya

Large classes create more distractions for students who struggle to focus, and they inevitably get less attention and support as there are more students for teachers to work with. High numbers of students make it more difficult to plan for individual needs and force teachers to teach to an imaginary middle. A rigid schedule makes it easy to schedule adults and services, but it is a challenge for kids who need time to get engaged and prefer to keep working at a challenge once they are locked in.

Now that I know what can engage and motivate these students, I can imagine creating more opportunities that allow them to harness their talents and grow their skills and knowledge. But we’re already a third of the way through the school year, and my curriculum requires me to teach certain topics for certain lengths of time, which doesn’t leave room for many of the types of experiences these kids need. Soon, June will come and I’ll pass them along to the next teacher, who won’t know what I know and will need another four months to learn it, wasting valuable time in these students’ educations.

From DSC:
We need teachers and professors to be able to contribute to learners’ records. Each student can review and decide whether they want to allow access to other teachers– or even to employers. Educators could insert what they’ve found to work with a particular student, what passions/interests that student has, or what to avoid (if possible). For example, has this student undergone some trauma, and therefore trauma-informed teaching should be employed. 

IEPs could be a part of learners’ records/profiles. The teams working on implementing these IEP’s could share important, searchable information.


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:

 

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.

 

Educational practices to identify and support students experiencing homelessness — from edresearchforaction.org by Alexandra Pavlakis, J. Kessa Roberts, Meredith Richards,  Kathryn Hill. &  Zitsi Mirakhur

The EdResearch for Action Overview Series summarizes the research on key topics to provide K-12 education decision makers and advocates with an evidence base to ground discussions about how to best serve students. Authors – leading experts from across the field of education research – are charged with highlighting key findings from research that provide concrete, strategic insight on persistent challenges sourced from district and state leaders.

 

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.


 

8 Ed Tech Tools to Try in 2024 — from cultofpedagogy.com by Jennifer Gonzalez, along with several others

But probably the most noticeable difference is that there’s a running theme of AI throughout the guide. First, there’s a nine-page spread devoted entirely to artificial intelligence — digging into how it works, what teachers are concerned about, some really good places to go to learn more, and 12 tools whose primary function is leveraging the power of AI. In addition to that, we went through the rest of the guide and put a little AI icon on every single tool that uses AI in some way, so you can see whether the tools you already know and love have started to take advantage of what artificial intelligence has to offer.


Speaking of teaching, also see:

 

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.


 

Your classmate could be an AI student at this Michigan university  — from mlive.com by Melissa Frick

BIG RAPIDS, MI – A Michigan university is believed to be the first in the country to use artificial intelligence (AI) to create virtual students that will enroll in classes and participate in lessons and assignments.

Ferris State University, which has one of just three undergraduate AI programs in the U.S., has developed two AI students who are enrolling at Ferris State as freshmen this semester and taking classes alongside human classmates.

At first, Ann and Fry will only be able to observe the class, but the goal is for the AI students to soon be able to speak during classroom discussions and have two-way conversations with their classmates, Thompson said.

Also relevant, see:

These two new Ferris State students are actually AI

These two new Ferris State students are actually AI — from woodtv.com by Demetrios Sanders

BIG RAPIDS, Mich. (WOOD) — As Ferris State University gets ready for its spring semester, two virtual students will begin classes as part of a new artificial intelligence experiment.

Ferris State University offers one of three AI undergraduate programs in the entire country.

“We are leaders in the artificial intelligence area, and why not put us to the test?” said Dr. Kasey Thompson, special assistant to the president for innovation and entrepreneurship at Ferris State.

University enrolling AI-powered “Students” who will turn in assignments, participate in class discussions — from futurism.com
Even students aren’t safe from AI.

Students at Ferris State University in Michigan will soon be sharing the classroom with AI-powered freshman “students” who will enroll in classes alongside them, MLive reports.

And no, they won’t have humanoid robot bodies — they’ll be interacting with students via computers, microphones, and speakers.

In an experiment led by associate professor Kasey Thompson, AI students dubbed Ann and Fry will be listening — or scanning through? — lectures, work on assignments, and even actively participate in discussions with other students, per the report.


AI & “Un-Personalised” Learning — from drphilippahardman.substack.com by Dr. Philippa Hardman
Exploring the full potential of AI to improve human learning, beyond the 1:1 AI tutor

In this week’s blog post we will look at AI from a different angle and ask: what are the pros and cons of using AI for personalisation? And what’s the potential impact of using AI to optimise and scale more connected, communal learning experiences?

TL;DR: while personalised learning has some benefits for some learner outcomes, the social interaction and connected aspects of communal learning are proven to offer similar academic benefits, as well as additional socio-cultural benefits for a broader range of students.

AI for “Un-Personalised” Learning
The next question is, of course: how could we use AI to scale the positive outcomes of “un-personalised”, communal learning?

Here are some initial ideas:


How to make the most of ChatGPT in 2024 — from wondertools.substack.com by Jeremy Caplan
A Wonder Tools guide


N.Y. Governor Hochul Proposes $400 Million To Launch University AI Consortium — from forbes-com.cdn.ampproject.org by Michael T. Nietzel

New York Governor Kathy Hochul wants to make New York the nation’s leader in artificial intelligence research and development. As part of her State of the State address on Tuesday, Hochul proposed the creation of Empire AI – a consortium of the state’s research universities and other institutions that would form an artificial intelligence computing center in upstate New York.

Empire AI would include seven founding institutions—Columbia University, Cornell University, New York University, Rensselaer Polytechnic Institute, the State University of New York (SUNY), the City University of New York (CUNY), and the Simons Foundation.


North Carolina AI Education Guidance Release — from stefanbauschard.substack.com by Stefan Bauschard
“A” grade in my mind; it just needs to anticipate the near future a bit more

TLDR
The Guidance

*North Carolina has arguably issued the best AI guidance to date (IMHO), and I explain why below (my highlighted version is here). This is in no way a knock on the other guidance reports, as I think they offer a lot them of very important and essential guidance. I just really like how NC packages it and the emphasis they put on certain things.

 
 

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)
 
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