From DSC:
A few items re: ChatGPT — with some items pro-chat and other items against the use of ChatGPT (or at least to limit its use).


How About We Put Learning at the Center? — from insidehighered.com by John Warner
The ongoing freak-out about ChatGPT sent me back to considering the fundamentals.

Excerpt:

So, when people express concern that students will use ChatGPT to complete their assignments, I understand the concern, but what I don’t understand is why this concern is so often channeled into discussions about how to police student behavior, rather than using this as an opportunity to exam the kind of work we actually ask students (and faculty) to do around learning.

If ChatGPT can do the things we ask students to do in order to demonstrate learning, it seems possible to me that those things should’ve been questioned a long time ago. It’s why I continue to believe this technology is an opportunity for reinvention, precisely because it is a threat to the status quo.

Top AI conference bans use of ChatGPT and AI language tools to write academic papers — from theverge.com by James Vincent; with thanks to Anna Mills for this resource
AI tools can be used to ‘edit’ and ‘polish’ authors’ work, say the conference organizers, but text ‘produced entirely’ by AI is not allowed. This raises the question: where do you draw the line between editing and writing?

Excerpt:

The International Conference on Machine Learning (ICML) announced the policy earlier this week, stating, “Papers that include text generated from a large-scale language model (LLM) such as ChatGPT are prohibited unless the produced text is presented as a part of the paper’s experimental analysis.” The news sparked widespread discussion on social media, with AI academics and researchers both defending and criticizing the policy. The conference’s organizers responded by publishing a longer statement explaining their thinking. (The ICML responded to requests from The Verge for comment by directing us to this same statement.)

How to… use AI to teach some of the hardest skills — from oneusefulthing.substack.com by Ethan Mollick
When errors, inaccuracies, and inconsistencies are actually very useful

Excerpt:

Instead, I want to discuss the opportunity provided by AI, because it can help us teach in new ways. The very things that make AI scary for educators — its tedency to make up facts, its lack of nuance, and its ability to make excellent student essays — can be used to make education better.

This isn’t for some future theoretical version of AI. You can create assignments, right now, using ChatGPT, that we will help stretch students in knew ways. We wrote a paper with the instructions. You can read it here, but I also want to summarize our suggestions. These are obviously not the only ways to use AI to educate, but they solve some of the hardest problems in education, and you can start experimenting with them right now.

NYC education department blocks ChatGPT on school devices, networks — from ny.chalkbeat.org by Michael Elsen-Rooney

Excerpt:

New York City students and teachers can no longer access ChatGPT — the new artificial intelligence-powered chatbot that generates stunningly cogent and lifelike writing — on education department devices or internet networks, agency officials confirmed Tuesday.

Teachers v ChatGPT: Schools face new challenge in fight against plagiarism — from straitstimes.com by Osmond Chia; with thanks to Stephen Downes for this resource

Excerpt:

SINGAPORE – Teachers in Singapore say they will likely have to move from assignments requiring regurgitation to those that require greater critical thinking, to stay ahead in the fight against plagiarism.

This comes on the back of the rise of ChatGPT, an intelligent chatbot that is able to spin essays and solve mathematical equations in seconds.

ChatGPT Is Not Ready to Teach Geometry (Yet) — from educationnext.org by Paul T. von Hippel
The viral chatbot is often wrong, but never in doubt. Educators need to tread carefully.

Excerpt:

Can ChatGPT provide feedback and answer questions about math in a more tailored and natural way? The answer, for the time being, is no. Although ChatGPT can talk about math superficially, it doesn’t “understand” math with real depth. It cannot correct mathematical misconceptions, it often introduces misconceptions of its own; and it sometimes makes inexplicable mathematical errors that a basic spreadsheet or hand calculator wouldn’t make.

Here, I’ll show you.


Addendum on 1/9/23:

9 ways ChatGPT saves me hours of work every day, and why you’ll never outcompete those who use AI effectively. — from .linkedin.com by Santiago Valdarrama

A list for those who write code:

  1. 1. Explaining code…
  2. Improve existing code…
  3. Rewriting code using the correct style…
  4. Rewriting code using idiomatic constructs…
  5. Simplifying code…
  6. Writing test cases…
  7. Exploring alternatives…
  8. Writing documentation…
  9. Tracking down bugs…
 

From DSC:
Check out the items below. As with most technologies, there are likely going to be plusses & minuses regarding the use of AI in digital video, communications, arts, and music.



Also see:


Also somewhat relevant, see:

 

 

How Skills Are Disrupting Work: The Transformational Power of Fast-Growing, In-Demand Skills — from burningglassinstitute.org by Nik Dawson, Alexandra Martin, Matt Sigelman, Gad Levanon, Stephanie Blochinger, Jennifer Thornton, and Janet Chen
A “State of Skills” Report from the Burning Glass Institute, the Business-Higher Education Forum, and Wiley

On average, 37% of the top 20 skills requested for the average U.S. job have changed since 2016.

Excerpt:
By analyzing hundreds of millions of recent U.S. job postings, the Burning Glass Institute and the Business–Higher Education Forum (BHEF) identified four of the fastest-growing, highest-demand emerging skill sets:

  • Artificial Intelligence/Machine Learning
  • Cloud Computing
  • Product Management
  • Social Media

These four skill sets serve as a laboratory for understanding what business and education leaders can do to prepare workers and students for skills disruption. To illustrate how programs can help learners and workers acquire essential skills, this report includes profiles of recent innovations from the BHEF network.

The future belongs to those who seek to understand, anticipate, and harness the power of emerging skills, rather than maintain a posture of reaction/response.

The prospect of helping all those who are challenged by skill disruption hinges on the readiness of business and higher education to engage in understanding and planning for skill disruption over the long term.

From DSC:
“On average, 37% of the top 20 skills requested for the average U.S. job have changed since 2016.” That’s what I’m talking about when I talk about the exponential pace of change. It’s hard to deal with. Our institutions of education are not used to this pace of change. Our legal system isn’t used to this pace of change. And there are other industries struggling to keep up.

Should the pace of change be an element of our design when we think about using Design Thinking to create a new lifelong learning ecosystem?

 

AI bot ChatGPT stuns academics with essay-writing skills and usability — from theguardian.com by Alex Hern
Latest chatbot from Elon Musk-founded OpenAI can identify incorrect premises and refuse to answer inappropriate requests

Excerpt:

Professors, programmers and journalists could all be out of a job in just a few years, after the latest chatbot from the Elon Musk-founded OpenAI foundation stunned onlookers with its writing ability, proficiency at complex tasks, and ease of use.

The system, called ChatGPT, is the latest evolution of the GPT family of text-generating AIs. Two years ago, the team’s previous AI, GPT3, was able to generate an opinion piece for the Guardian, and ChatGPT has significant further capabilities.

In the days since it was released, academics have generated responses to exam queries that they say would result in full marks if submitted by an undergraduate, and programmers have used the tool to solve coding challenges in obscure programming languages in a matter of seconds – before writing limericks explaining the functionality.

 


Also related/see:


AI and the future of undergraduate writing — from chronicle.com by Beth McMurtrie

Excerpts:

Is the college essay dead? Are hordes of students going to use artificial intelligence to cheat on their writing assignments? Has machine learning reached the point where auto-generated text looks like what a typical first-year student might produce?

And what does it mean for professors if the answer to those questions is “yes”?

Scholars of teaching, writing, and digital literacy say there’s no doubt that tools like ChatGPT will, in some shape or form, become part of everyday writing, the way calculators and computers have become integral to math and science. It is critical, they say, to begin conversations with students and colleagues about how to shape and harness these AI tools as an aide, rather than a substitute, for learning.

“Academia really has to look at itself in the mirror and decide what it’s going to be,” said Josh Eyler, director of the Center for Excellence in Teaching and Learning at the University of Mississippi, who has criticized the “moral panic” he has seen in response to ChatGPT. “Is it going to be more concerned with compliance and policing behaviors and trying to get out in front of cheating, without any evidence to support whether or not that’s actually going to happen? Or does it want to think about trust in students as its first reaction and building that trust into its response and its pedagogy?”

 

 

 

ChatGPT Could Be AI’s iPhone Moment — from bloomberg.com by Vlad Savov; with thanks to Dany DeGrave for his Tweet on this

Excerpt:

The thing is, a good toy has a huge advantage: People love to play with it, and the more they do, the quicker its designers can make it into something more. People are documenting their experiences with ChatGPT on Twitter, looking like giddy kids experimenting with something they’re not even sure they should be allowed to have. There’s humor, discovery and a game of figuring out the limitations of the system.

 


And on the legal side of things:


 

The Job: Online Certifications #85? DEC 1, 2022 — from getrevue.co by Paul Fain
Growing interest in online training for medical certifications and a private university that’s offering credit for MedCerts and other microcredentials.

Excerpt:

‘Train and Hire’ in Healthcare
The nation’s healthcare system continues to strain amid a severe staffing crisis. And the mounting desperation is prodding some employers to get more creative about how they hire, train, and retain healthcare workers.

MedCerts has seen growing demand for its online certification training, with strong interest in the 28-week medical assistant and 12-week phlebotomy technician programs.

The company has enrolled 55K students and roughly doubled its offerings during the last two years. Its fastest-growing segment is the train-and-hire model, where employers cover the full tuition and training costs for students.

“We are now helping several hundred people every month move from education to high-demand careers, and our pace and scale are still growing,” says Rafael Castaneda, MedCerts’ vice president of workforce development.

Stride Inc., a large online K-12 education provider, acquired MedCerts in 2020 for roughly $80M. The company’s 50+ self-paced career training programs in healthcare, IT, and professional development typically cost $4K in tuition and other fees. Most can be completed in six months, and the company offers on-demand support to all students for a year regardless of their program’s length.

 

This Copyright Lawsuit Could Shape the Future of Generative AI — from wired.com by Will Knight
Algorithms that create art, text, and code are spreading fast—but legal challenges could throw a wrench in the works.

Excerpts:

A class-action lawsuit filed in a federal court in California this month takes aim at GitHub Copilot, a powerful tool that automatically writes working code when a programmer starts typing. The coder behind the suit argues that GitHub is infringing copyright because it does not provide attribution when Copilot reproduces open-source code covered by a license requiring it.

Programmers have, of course, always studied, learned from, and copied each other’s code. But not everyone is sure it is fair for AI to do the same, especially if AI can then churn out tons of valuable code itself, without respecting the source material’s license requirements. “As a technologist, I’m a huge fan of AI ,” Butterick says. “I’m looking forward to all the possibilities of these tools. But they have to be fair to everybody.”

Whatever the outcome of the Copilot case, Villa says it could shape the destiny of other areas of generative AI. If the outcome of the Copilot case hinges on how similar AI-generated code is to its training material, there could be implications for systems that reproduce images or music that matches the style of material in their training data. 

Also legal-related, see:


Also related to AI and art/creativity from Wired.com, see:


 
 

These are the most important AI trends, according to top AI experts — from nexxworks.com
Somewhat in the shadow of the (often) overhyped metaverse and Web3 paradigms, AI seems to be developing at great speed. That’s why we asked a group of top AI experts in our network to describe what they think are the most important trends, evolutions and areas of interest of the moment in that domain.

Excerpt:

All of them have different backgrounds and areas of expertise, but some patterns still emerged in their stories, several of them mentioning ethics, the impact on the climate (both positively and negatively), the danger of overhyping, the need for transparency and explainability, interdisciplinary collaborations, robots and the many challenges that still need to be overcome.

But let’s see what they have to say, shall we?

Also relevant/see:

AI IS REVOLUTIONIZING EVERY FIELD AND SCIENCE IS NO EXCEPTION — from dataconomy.com by KEREM GÜLEN

Table of Contents

  • Artificial intelligence in science
    • Artificial intelligence in science: Biology
    • Artificial intelligence in science: Physics
    • Artificial intelligence in science: Chemistry
  • AI in science and research
    • How is AI used in scientific research?
      • Protein structures can be predicted using genetic data
      • Recognizing how climate change affects cities and regions
      • Analyzing astronomical data
  • AI in science examples
    • Interpreting social history with archival data
    • Using satellite images to aid in conservation
    • Understanding complex organic chemistry
  • Conclusion

Also relevant/see:

  • How ‘Responsible AI’ Is Ethically Shaping Our Future — from learningsolutionsmag.com by Markus Bernhardt
    Excerpt:
    The PwC 2022 AI Business Survey finds that “AI success is becoming the rule, not the exception,” and, according to PwC US, published in the 2021 AI Predictions & 2021 Responsible AI Insights Report, “Responsible AI is the leading priority among industry leaders for AI applications in 2021, with emphasis on improving privacy, explainability, bias detection, and governance.”
  • Why you need an AI ethics committee — from enterprisersproject.com by Reid Blackman (requires providing email address to get the article)
 

Our mission is to empower people with disabilities to live their best life! We do this by showcasing adaptive products.

The product categories out at allaccesslife.org

 


Addendum on 11/14/22:

clusiv.io — as mentioned at The Accelerator at WGU Labs Invests in Platform for the Blind or Visually Impaired

Clusiv is an online learning platform for the blind and visually impaired that teaches occupational training, technology skills, and educational courses to empower employment. We help remove barriers to successful employment by teaching the skills you need to be equipped for the modern workforce.


 

Post-Conference LMS Market News — from philonedtech.com by Phil Hill

Excerpt:

Educause used to be THE EdTech conference, and the LMS market news tended to deliberately coincide with the fall event – with vendors releasing news that week. The conference competition has heated up and Educause is now one among several EdTech conferences, but it does tend to remain the premier event in North American higher ed in terms of combined exhibitor booths and marketing presence.

Having seen so many LMS vendors at #Edu22 (Instructure Canvas, Google Classroom sort of, D2L Brightspace, Anthology Learn, Open LMS, Sakai, and Cypher Learning), it is worth collecting some items in one place after the conference, organized this time around market wins of significance.

 
  1. Radar Trends to Watch: November 2022 — from oreilly.com by Mike Loukides
    Developments in AI, Programming, Quantum Computing, and More

Excerpts:

Maintaining a separate category for AI is getting difficult. We’re seeing important articles about AI infiltrating security, programming, and almost everything else; even biology. That sounds like a minor point, but it’s important: AI is eating the world. What does it mean when an AI system can reconstruct what somebody wants to say from their brainwave? What does it mean when cultured brain cells can be configured to play Pong? They don’t play well, but it’s not long since that was a major achievement for AI.

The creators of StableDiffusion have announced HarmonyAI, a community for building AI tools for generating music. They have released an application called Dance Diffusion.

Google’s new AI can hear a snippet of song—and then keep on playing — from technologyreview.com by Tammy Xuarchive
The technique, called AudioLM, generates naturalistic sounds without the need for human annotation.

 

How AI will change Education: Part I | Transcend Newsletter #59 — from transcend.substack.com by Alberto Arenaza; with thanks to GSV’s Big 10 for this resource

Excerpt:

You’ve likely been reading for the last few minutes my arguments for why AI is going to change education. You may agree with some points, disagree with others…

Only, those were not my words.

An AI has written every single word in this essay up until here.

The only thing I wrote myself was the first sentence: Artificial Intelligence is going to revolutionize education. The images too, everything was generated by AI.

 

Using Virtual Reality for Career Training — from techlearning.com by Erik Ofgang
The Boys & Girls Clubs of Indiana have had success using virtual reality simulations to teach students about career opportunities.

a Woman with a virtual reality set on occupies one half of the screen. The other shows virtual tools that she is controlling.

Excerpts:

Virtual reality can help boost CTE programs and teach students about potential careers in fields they may know nothing about, says Lana Taylor from the Indiana Alliance of Boys & Girls Clubs of America.

One of those other resources has been a partnership with Transfer VR to provide students access to headsets to participate in career simulations that can give them a tactile sense of what working in certain careers might be like.

“Not all kids are meant to go to college, not all kids want to do it,” Taylor says. “So it’s important to give them some exposure to different careers and workforce paths that maybe they hadn’t thought of before.” 


AI interviews in VR prepare students for real jobseeking — from inavateonthenet.net

 

Coursera is Evolving into a Third-Wave EdTech Company — from eliterate.us by Michael Feldstein

Excerpts:

This is the vision of Coursera’s three-sided platform at scale, connecting learners, educators and institutions in a global learning ecosystem designed to keep pace with our rapidly changing world.

Coursera CEO Jeff Maggioncalda

Coursera's diversified model with 3 segments -- consumer, enterprise, and degrees

The point of this slide is to show the diversification of Coursera’s business. Degree programs may be down, but enterprise licenses and direct-to-consumer certificates are up. But it also indicates Coursera’s ability to diversify revenue streams for its university content providers. The enterprise business provides a distribution channel between universities and employers. From what I can tell, it’s a Guild competitor, even though the two companies look very different on the surface. The consumer segment started as the MOOC business and has expanded into the “tweener” space between courses and degrees: certificates, microdegrees, whatever.

 
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