The Musician’s Rule and GenAI in Education — from opencontent.org by David Wiley

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.
    .

We need to take more of the research from learning science and apply it in our learning spaces.

 


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.


 

2024 Global Skills Report -- from Coursera

  • AI literacy emerges as a global imperative
  • AI readiness initiatives drive emerging skill adoption across regions
  • The digital skills gap persists in a rapidly evolving job market
  • Cybersecurity skills remain crucial amid talent shortages and evolving threats
  • Micro-credentials are a rapid pathway for learners to prepare for in-demand jobs
  • The global gender gap in online learning continues to narrow, but regional disparities persist
  • Different regions prioritize different skills, but the majority focus on emerging or foundational capabilities

You can use the Global Skills Report 2024 to:

  • Identify critical skills for your students to strengthen employability
  • Align curriculum to drive institutional advantage nationally
  • Track emerging skill trends like GenAI and cybersecurity
  • Understand entry-level and digital role skill trends across six regions
 

Daniel Christian: My slides for the Educational Technology Organization of Michigan’s Spring 2024 Retreat

From DSC:
Last Thursday, I presented at the Educational Technology Organization of Michigan’s Spring 2024 Retreat. I wanted to pass along my slides to you all, in case they are helpful to you.

Topics/agenda:

  • Topics & resources re: Artificial Intelligence (AI)
    • Top multimodal players
    • Resources for learning about AI
    • Applications of AI
    • My predictions re: AI
  • The powerful impact of pursuing a vision
  • A potential, future next-gen learning platform
  • Share some lessons from my past with pertinent questions for you all now
  • The significant impact of an organization’s culture
  • Bonus material: Some people to follow re: learning science and edtech

 

Education Technology Organization of Michigan -- ETOM -- Spring 2024 Retreat on June 6-7

PowerPoint slides of Daniel Christian's presentation at ETOM

Slides of the presentation (.PPTX)
Slides of the presentation (.PDF)

 


Plus several more slides re: this vision.

 

Is College Worth It? — from pewresearch.org by Richard Fry, Dana Braga, and Kim Parker
As economic outcomes for young adults with and without degrees have improved, Americans hold mixed views on the value of college

 


From DSC:
I post items like this in the hopes that those working within the world of higher education will lower the price of obtaining a degree while moving much more aggressively to offer more affordable ways of learning throughout one’s life.


A relevant addendum on 6/6/24:


Universities Try 3-Year Degrees To Save Students Time, Money — from the74million.org by Elaine S. Povich
As states explore shorter degrees, some faculty say they undercut students’ education.

With college costs rising and some students and families questioning the return on investment of a four-year degree, a few pioneering state universities are exploring programs that would grant certain bachelor’s degrees in three years.

The programs, which also are being tried at some private schools, would require 90 credits instead of the traditional 120 for a bachelor’s degree, and wouldn’t require summer classes or studying over breaks. In some cases, the degrees would be designed to fit industry needs.

 

Microsoft teams with Khan Academy to make its AI tutor free for K-12 educators and will develop a Phi-3 math model — from venturebeat.com by Ken Yeung

Microsoft is partnering with Khan Academy in a multifaceted deal to demonstrate how AI can transform the way we learn. The cornerstone of today’s announcement centers on Khan Academy’s Khanmigo AI agent. Microsoft says it will migrate the bot to its Azure OpenAI Service, enabling the nonprofit educational organization to provide all U.S. K-12 educators free access to Khanmigo.

In addition, Microsoft plans to use its Phi-3 model to help Khan Academy improve math tutoring and collaborate to generate more high-quality learning content while making more courses available within Microsoft Copilot and Microsoft Teams for Education.


One-Third of Teachers Have Already Tried AI, Survey Finds — from the74million.org by Kevin Mahnken
A RAND poll released last month finds English and social studies teachers embracing tools like ChatGPT.

One in three American teachers have used artificial intelligence tools in their teaching at least once, with English and social studies teachers leading the way, according to a RAND Corporation survey released last month. While the new technology isn’t yet transforming how kids learn, both teachers and district leaders expect that it will become an increasingly common feature of school life.


Professors Try ‘Restrained AI’ Approach to Help Teach Writing — from edsurge.com by Jeffrey R. Young
Can ChatGPT make human writing more efficient, or is writing an inherently time-consuming process best handled without AI tools?

This article is part of the guide: For Education, ChatGPT Holds Promise — and Creates Problems.

When ChatGPT emerged a year and half ago, many professors immediately worried that their students would use it as a substitute for doing their own written assignments — that they’d click a button on a chatbot instead of doing the thinking involved in responding to an essay prompt themselves.

But two English professors at Carnegie Mellon University had a different first reaction: They saw in this new technology a way to show students how to improve their writing skills.

“They start really polishing way too early,” Kaufer says. “And so what we’re trying to do is with AI, now you have a tool to rapidly prototype your language when you are prototyping the quality of your thinking.”

He says the concept is based on writing research from the 1980s that shows that experienced writers spend about 80 percent of their early writing time thinking about whole-text plans and organization and not about sentences.


On Building AI Models for Education — from aieducation.substack.com by Claire Zau
Google’s LearnLM, Khan Academy/MSFT’s Phi-3 Models, and OpenAI’s ChatGPT Edu

This piece primarily breaks down how Google’s LearnLM was built, and takes a quick look at Microsoft/Khan Academy’s Phi-3 and OpenAI’s ChatGPT Edu as alternative approaches to building an “education model” (not necessarily a new model in the latter case, but we’ll explain). Thanks to the public release of their 86-page research paper, we have the most comprehensive view into LearnLM. Our understanding of Microsoft/Khan Academy small language models and ChatGPT Edu is limited to the information provided through announcements, leaving us with less “under the hood” visibility into their development.


AI tutors are quietly changing how kids in the US study, and the leading apps are from China — from techcrunch.com by Rita Liao

Answer AI is among a handful of popular apps that are leveraging the advent of ChatGPT and other large language models to help students with everything from writing history papers to solving physics problems. Of the top 20 education apps in the U.S. App Store, five are AI agents that help students with their school assignments, including Answer AI, according to data from Data.ai on May 21.


Is your school behind on AI? If so, there are practical steps you can take for the next 12 months — from stefanbauschard.substack.com by Stefan Bauschard

If your school (district) or university has not yet made significant efforts to think about how you will prepare your students for a World of AI, I suggest the following steps:

July 24 – Administrator PD & AI Guidance
In July, administrators should receive professional development on AI, if they haven’t already. This should include…

August 24 –Professional Development for Teachers and Staff…
Fall 24 — Parents; Co-curricular; Classroom experiments…
December 24 — Revision to Policy…


New ChatGPT Version Aiming at Higher Ed — from insidehighered.com by Lauren Coffey
ChatGPT Edu, emerging after initial partnerships with several universities, is prompting both cautious optimism and worries.

OpenAI unveiled a new version of ChatGPT focused on universities on Thursday, building on work with a handful of higher education institutions that partnered with the tech giant.

The ChatGPT Edu product, expected to start rolling out this summer, is a platform for institutions intended to give students free access. OpenAI said the artificial intelligence (AI) toolset could be used for an array of education applications, including tutoring, writing grant applications and reviewing résumés.

 

AI’s New Conversation Skills Eyed for Education — from insidehighered.com by Lauren Coffey
The latest ChatGPT’s more human-like verbal communication has professors pondering personalized learning, on-demand tutoring and more classroom applications.

ChatGPT’s newest version, GPT-4o ( the “o” standing for “omni,” meaning “all”), has a more realistic voice and quicker verbal response time, both aiming to sound more human. The version, which should be available to free ChatGPT users in coming weeks—a change also hailed by educators—allows people to interrupt it while it speaks, simulates more emotions with its voice and translates languages in real time. It also can understand instructions in text and images and has improved video capabilities.

Ajjan said she immediately thought the new vocal and video capabilities could allow GPT to serve as a personalized tutor. Personalized learning has been a focus for educators grappling with the looming enrollment cliff and for those pushing for student success.

There’s also the potential for role playing, according to Ajjan. She pointed to mock interviews students could do to prepare for job interviews, or, for example, using GPT to play the role of a buyer to help prepare students in an economics course.

 

 

.

2024 EDUCAUSE Horizon Report® Teaching and Learning Edition

Trends
As a first activity, we asked the Horizon panelists to provide input on the macro trends they believe are going to shape the future of postsecondary teaching and learning and to provide observable evidence for those trends. To ensure an expansive view of the larger trends serving as context for institutions of higher education, panelists provided input across five trend categories: social, technological, economic, environmental, and political. Given the widespread impacts of emerging AI technologies on higher education, we are also including in this year’s report a list of “honorary trends” focused on AI. After several rounds of voting, the panelists selected the following trends as the most important:

 


Information Age vs Generation Age Technologies for Learning — from opencontent.org by David Wiley

Remember (emphasis DSC)

  • the internet eliminated time and place as barriers to education, and
  • generative AI eliminates access to expertise as a barrier to education.

Just as instructional designs had to be updated to account for all the changes in affordances of online learning, they will need to be dramatically updated again to account for the new affordances of generative AI.


The Curious Educator’s Guide to AI | Strategies and Exercises for Meaningful Use in Higher Ed  — from ecampusontario.pressbooks.pub by Kyle Mackie and Erin Aspenlieder; via Stephen Downes

This guide is designed to help educators and researchers better understand the evolving role of Artificial Intelligence (AI) in higher education. This openly-licensed resource contains strategies and exercises to help foster an understanding of AI’s potential benefits and challenges. We start with a foundational approach, providing you with prompts on aligning AI with your curiosities and goals.

The middle section of this guide encourages you to explore AI tools and offers some insights into potential applications in teaching and research. Along with exposure to the tools, we’ll discuss when and how to effectively build AI into your practice.

The final section of this guide includes strategies for evaluating and reflecting on your use of AI. Throughout, we aim to promote use that is effective, responsible, and aligned with your educational objectives. We hope this resource will be a helpful guide in making informed and strategic decisions about using AI-powered tools to enhance teaching and learning and research.


Annual Provosts’ Survey Shows Need for AI Policies, Worries Over Campus Speech — from insidehighered.com by Ryan Quinn
Many institutions are not yet prepared to help their faculty members and students navigate artificial intelligence. That’s just one of multiple findings from Inside Higher Ed’s annual survey of chief academic officers.

Only about one in seven provosts said their colleges or universities had reviewed the curriculum to ensure it will prepare students for AI in their careers. Thuswaldner said that number needs to rise. “AI is here to stay, and we cannot put our heads in the sand,” he said. “Our world will be completely dominated by AI and, at this point, we ain’t seen nothing yet.”


Is GenAI in education more of a Blackberry or iPhone? — from futureofbeinghuman.com by Andrew Maynard
There’s been a rush to incorporate generative AI into every aspect of education, from K-12 to university courses. But is the technology mature enough to support the tools that rely on it?

In other words, it’s going to mean investing in concepts, not products.

This, to me, is at the heart of an “iPhone mindset” as opposed to a “Blackberry mindset” when it comes to AI in education — an approach that avoids hard wiring in constantly changing technologies, and that builds experimentation and innovation into the very DNA of learning.

For all my concerns here though, maybe there is something to being inspired by the Blackberry/iPhone analogy — not as a playbook for developing and using AI in education, but as a mindset that embraces innovation while avoiding becoming locked in to apps that are detrimentally unreliable and that ultimately lead to dead ends.


Do teachers spot AI? Evaluating the detectability of AI-generated texts among student essays — from sciencedirect.com by Johanna Fleckenstein, Jennifer Meyer, Thorben Jansen, Stefan D. Keller, Olaf Köller, and Jens Möller

Highlights

  • Randomized-controlled experiments investigating novice and experienced teachers’ ability to identify AI-generated texts.
  • Generative AI can simulate student essay writing in a way that is undetectable for teachers.
  • Teachers are overconfident in their source identification.
  • AI-generated essays tend to be assessed more positively than student-written texts.

Can Using a Grammar Checker Set Off AI-Detection Software? — from edsurge.com by Jeffrey R. Young
A college student says she was falsely accused of cheating, and her story has gone viral. Where is the line between acceptable help and cheating with AI?


Use artificial intelligence to get your students thinking critically — from timeshighereducation.com by Urbi Ghosh
When crafting online courses, teaching critical thinking skills is crucial. Urbi Ghosh shows how generative AI can shape how educators can approach this


ChatGPT shaming is a thing – and it shouldn’t be — from futureofbeinghuman.com by Andrew Maynard
There’s a growing tension between early and creative adopters of text based generative AI and those who equate its use with cheating. And when this leads to shaming, it’s a problem.

Excerpt (emphasis DSC):

This will sound familiar to anyone who’s incorporating generative AI into their professional workflows. But there are still many people who haven’t used apps like ChatGPT, are largely unaware of what they do, and are suspicious of them. And yet they’ve nevertheless developed strong opinions around how they should and should not be used.

From DSC:
Yes…that sounds like how many faculty members viewed online learning, even though they had never taught online before.

 

ChatGPT remembers who you are — from thebrainyacts.beehiiv.com |Brainyacts #191

OpenAI rolls out Memory feature for ChatGPT
OpenAI has introduced a cool update for ChatGPT (rolling out to paid and free users – but not in the EU or Korea), enabling the AI to remember user-specific details across sessions. This memory feature enhances personalization and efficiency, making your interactions with ChatGPT more relevant and engaging.

.

Key Features

  1. Automatic Memory Tracking
    • ChatGPT now automatically records information from your interactions such as preferences, interests, and plans. This allows the AI to refine its responses over time, making each conversation increasingly tailored to you.
  2. Enhanced Personalization
    • The more you interact with ChatGPT, the better it understands your needs and adapts its responses accordingly. This personalization improves the relevance and efficiency of your interactions, whether you’re asking for daily tasks or discussing complex topics.
  3. Memory Management Options
    • You have full control over this feature. You can view what information is stored, toggle the memory on or off, and delete specific data or all memory entries, ensuring your privacy and preferences are respected.




From DSC:
The ability of AI-based applications to remember things about us will have major and positive ramifications for us when we think about learning-related applications of AI.


 

Colleges are now closing at a pace of one a week. What happens to the students? — from hechingerreport.org by Jon Marcus
Most never finish their degrees, and alumni wonder about the value of degrees they’ve earned

About one university or college per week so far this year, on average, has announced that it will close or merge. That’s up from a little more than two a month last year, according to the State Higher Education Executive Officers Association, or SHEEO.

Most students at colleges that close give up on their educations altogether. Fewer than half transfer to other institutions, a SHEEO study found. Of those, fewer than half stay long enough to get degrees. Many lose credits when they move from one school to another and have to spend longer in college, often taking out more loans to pay for it.

Colleges are almost certain to keep closing. As many as one in 10 four-year colleges and universities are in financial peril, the consulting firm EY Parthenon estimates.

Students who transferlose an average of 43 percentof the credits they’ve already earned and paid for, the Government Accountability Office found in the most recent comprehensive study of this problem.

Also relevant:

 

Beyond the Hype: Taking a 50 Year Lens to the Impact of AI on Learning — from nafez.substack.com by Nafez Dakkak and Chris Dede
How do we make sure LLMs are not “digital duct tape”?

[Per Chris Dede] We often think of the product of teaching as the outcome (e.g. an essay, a drawing, etc.). The essence of education, in my view, lies not in the products or outcomes of learning but in the journey itself. The artifact is just a symbol that you’ve taken the journey.

The process of learning — the exploration, challenges, and personal growth that occur along the way — is where the real value lies. For instance, the act of writing an essay is valuable not merely for the final product but for the intellectual journey it represents. It forces you to improve and organize your thinking on a subject.

This distinction becomes important with the rise of generative AI, because it uniquely allows us to produce these artifacts without taking the journey.

As I’ve argued previously, I am worried that all this hype around LLMs renders them a “type of digital duct-tape to hold together an obsolete industrial-era educational system”. 


Speaking of AI in our learning ecosystems, also see:


On Building a AI Policy for Teaching & Learning — from by Lance Eaton
How students drove the development of a policy for students and faculty

Well, last month, the policy was finally approved by our Faculty Curriculum Committee and we can finally share the final version: AI Usage Policy. College Unbound also created (all-human, no AI used) a press release with the policy and some of the details.

To ensure you see this:

  • Usage Guidelines for AI Generative Tools at College Unbound
    These guidelines were created and reviewed by College Unbound students in Spring 2023 with the support of Lance Eaton, Director of Faculty Development & Innovation.  The students include S. Fast, K. Linder-Bey, Veronica Machado, Erica Maddox, Suleima L., Lora Roy.

ChatGPT hallucinates fake but plausible scientific citations at a staggering rate, study finds — from psypost.org by Eric W. Dolan

A recent study has found that scientific citations generated by ChatGPT often do not correspond to real academic work. The study, published in the Canadian Psychological Association’s Mind Pad, found that “false citation rates” across various psychology subfields ranged from 6% to 60%. Surprisingly, these fabricated citations feature elements such as legitimate researchers’ names and properly formatted digital object identifiers (DOIs), which could easily mislead both students and researchers.

MacDonald found that a total of 32.3% of the 300 citations generated by ChatGPT were hallucinated. Despite being fabricated, these hallucinated citations were constructed with elements that appeared legitimate — such as real authors who are recognized in their respective fields, properly formatted DOIs, and references to legitimate peer-reviewed journals.

 

AI RESOURCES AND TEACHING (Kent State University) — from aiadvisoryboards.wordpress.com

AI Resources and Teaching | Kent State University offers valuable resources for educators interested in incorporating artificial intelligence (AI) into their teaching practices. The university recognizes that the rapid emergence of AI tools presents both challenges and opportunities in higher education.

The AI Resources and Teaching page provides educators with information and guidance on various AI tools and their responsible use within and beyond the classroom. The page covers different areas of AI application, including language generation, visuals, videos, music, information extraction, quantitative analysis, and AI syllabus language examples.


A Cautionary AI Tale: Why IBM’s Dazzling Watson Supercomputer Made a Lousy Tutor — from the74million.org by Greg Toppo
With a new race underway to create the next teaching chatbot, IBM’s abandoned 5-year, $100M ed push offers lessons about AI’s promise and its limits.

For all its jaw-dropping power, Watson the computer overlord was a weak teacher. It couldn’t engage or motivate kids, inspire them to reach new heights or even keep them focused on the material — all qualities of the best mentors.

It’s a finding with some resonance to our current moment of AI-inspired doomscrolling about the future of humanity in a world of ascendant machines. “There are some things AI is actually very good for,” Nitta said, “but it’s not great as a replacement for humans.”

His five-year journey to essentially a dead-end could also prove instructive as ChatGPT and other programs like it fuel a renewed, multimillion-dollar experiment to, in essence, prove him wrong.

To be sure, AI can do sophisticated things such as generating quizzes from a class reading and editing student writing. But the idea that a machine or a chatbot can actually teach as a human can, he said, represents “a profound misunderstanding of what AI is actually capable of.” 

Nitta, who still holds deep respect for the Watson lab, admits, “We missed something important. At the heart of education, at the heart of any learning, is engagement. And that’s kind of the Holy Grail.”

From DSC:
This is why the vision that I’ve been tracking and working on has always said that HUMAN BEINGS will be necessary — they are key to realizing this vision. Along these lines, here’s a relevant quote:

Another crucial component of a new learning theory for the age of AI would be the cultivation of “blended intelligence.” This concept recognizes that the future of learning and work will involve the seamless integration of human and machine capabilities, and that learners must develop the skills and strategies needed to effectively collaborate with AI systems. Rather than viewing AI as a threat to human intelligence, a blended intelligence approach seeks to harness the complementary strengths of humans and machines, creating a symbiotic relationship that enhances the potential of both.

Per Alexander “Sasha” Sidorkin, Head of the National Institute on AI in Society at California State University Sacramento.

 

AWS, Educause partner on generative AI readiness tool — from edscoop.com by Skylar Rispens
Amazon Web Services and the nonprofit Educause announced a new tool designed to help higher education institutions gauge their readiness to adopt generative artificial intelligence.

Amazon Web Services and the nonprofit Educause on Monday announced they’ve teamed up to develop a tool that assesses how ready higher education institutions are to adopt generative artificial intelligence.

Through a series of curated questions about institutional strategy, governance, capacity and expertise, AWS and Educause claim their assessment can point to ways that operations can be improved before generative AI is adopted to support students and staff.

“Generative AI will transform how educators engage students inside and outside the classroom, with personalized education and accessible experiences that provide increased student support and drive better learning outcomes,” Kim Majerus, vice president of global education and U.S. state and local government at AWS, said in a press release. “This assessment is a practical tool to help colleges and universities prepare their institutions to maximize this technology and support students throughout their higher ed journey.”


Speaking of AI and our learning ecosystems, also see:

Gen Z Wants AI Skills And Businesses Want Workers Who Can Apply AI: Higher Education Can Help — from forbes.com by Bruce Dahlgren

At a moment when the value of higher education has come under increasing scrutiny, institutions around the world can be exactly what learners and employers both need. To meet the needs of a rapidly changing job market and equip learners with the technical and ethical direction needed to thrive, institutions should familiarize students with the use of AI and nurture the innately human skills needed to apply it ethically. Failing to do so can create enormous risk for higher education, business and society.

What is AI literacy?
To effectively utilize generative AI, learners will need to grasp the appropriate use cases for these tools, understand when their use presents significant downside risk, and learn to recognize abuse to separate fact from fiction. AI literacy is a deeply human capacity. The critical thinking and communication skills required are muscles that need repeated training to be developed and maintained.

 

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.”


 

 
© 2024 | Daniel Christian