It’s Not Just Our Students — ChatGPT Is Coming for Faculty Writing — from chronicle.com by Ben Chrisinger (behind a paywall)
And there’s little agreement on the rules that should govern it.

Excerpt:

While we’ve been busy worrying about what ChatGPT could mean for students, we haven’t devoted nearly as much attention to what it could mean for academics themselves. And it could mean a lot. Critically, academics disagree on exactly how AI can and should be used. And with the rapidly improving technology at our doorstep, we have little time to deliberate.

Already some researchers are using the technology. Among only the small sample of my work colleagues, I’ve learned that it is being used for such daily tasks as: translating code from one programming language to another, potentially saving hours spent searching web forums for a solution; generating plain-language summaries of published research, or identifying key arguments on a particular topic; and creating bullet points to pull into a presentation or lecture.

 

From DSC:
It seems to me that the idea of a Trim Tab Group goes waaaaay back. And from an excellent teacher — the LORD.


Mark 2:21 — from bible.com

“No one sews a patch of unshrunk cloth on an old garment. Otherwise, the new piece will pull away from the old, making the tear worse.”


So the idea of starting a small, different group that will grow into an amazingly large group of people may turn out to be the route that the invention of a new lifelong learning ecosystem will need to go through.

 

Podcast Special: Using Generative AI in Education — from drphilippahardman.substack.com by Dr. Philippa Hardman
An exploration of the risks and benefits of Generative AI in education, in conversation with Mike Palmer

Excerpt:

Among other things, we discussed:

  • The immediate challenges that Generative AI presents for learning designers, educators and students.
  • The benefits & opportunities that Generative AI might offer the world of education, both in terms of productivity and pedagogy.
  • How bringing together the world of AI and the world of learning science, we might revolutionise the way we design and deliver learning experiences.

Speaking of podcasts, this article lists some podcasts to check out for those working in — or interested in — higher education.


Also relevant/see:

 


Also relevant/see:

Are librarians the next prompt engineers? — from linkedin.com by Laura Solomon

Excerpt:

  • Without the right prompt, AI fails to provide what someone might be looking for. This probably is a surprise to no one, especially librarians. If you remember the days before Google, you know exactly how this tended to play out. Google became dominant in large part to its inherent ability to accept natural language queries.
  • A small industry is now popping up to provide people with the correct, detailed prompts to get what they want when interacting with AI. The people doing this work are referred to as “prompt engineers.”
  • Prompt engineers aren’t just people who write queries to be directed to an AI. They also have tend to have a great deal of technical expertise and a deep understanding of how artificial intelligences and natural language can intersect.
  • Prompt engineers don’t work for free.

The above item links to The Most Important Job Skill of This Century — from theatlantic.com by Charlie Warzel
Your work future could depend on how well you can talk to AI. 


Also relevant/see:

My class required AI. Here’s what I’ve learned so far. — from oneusefulthing.substack.com by Ethan Mollick
(Spoiler alert: it has been very successful, but there are some lessons to be learned)

Excerpt:

I fully embraced AI for my classes this semester, requiring students to use AI tools in a number of ways. This policy attracted a lot of interest, and I thought it worthwhile to reflect on how it is going so far. The short answer is: great! But I have learned some early lessons that I think are worth passing on.

AI is everywhere already
Even if I didn’t embrace AI, it is also clear that AI is now everywhere in classes. For example, students used it to help them come up with ideas for class projects, even before I even taught them how to do that. As a result, the projects this semester are much better than previous pre-AI classes. This has led to greater project success rates and more engaged teams. On the downside, I find students also raise their hands to ask questions less. I suspect this might be because, as one of them told me, they can later ask ChatGPT to explain things they didn’t get without needing to speak in front of the class. The world of teaching is now more complicated in ways that are exciting, as well as a bit unnerving.

 

The Broken Higher Education System: Addressing Stakeholder Needs for a More Adaptive Model — from educationoneducation.substack.com

Excerpt:

Higher education Chief Academic Officers (CAOs) must shift their perspective and strive to increase customer satisfaction to ensure the highest quality of educational products. A recent survey by Higher Education found that only 25% of customers were satisfied with the results higher education provided, contradicting the satisfaction differences of 99% of CAOs. Clearly, a disconnect exists between what higher education leaders deliver and what students, employers, and the changing labor market requirements are. To bridge this gap, higher education must develop products focusing on stakeholder feedback in product design, job requirements, and practical skills development.

From DSC:
So in terms of Design Thinking for reinventing lifelong learning, it seems to me that we need much more collaboration between the existing siloes. That is, we need students, educators, administrators, employers, and other stakeholders at the (re)design table. More experiments and what I call TrimTab Groups are needed.

But I think that the culture of many institutions of traditional higher education will prevent this from occurring. Many in academia shy away from (to put it politely) the world of business (even though they themselves ARE a business). I know, it’s not fair nor does it make sense. But many faculty members lean towards much more noble purposes, while never seeing the mounting gorillas of debt that they’ve heaped upon their students’/graduates’ backs. Those in academia shouldn’t be so quick to see themselves as being so incredibly different from those working in the corporate/business world.

The following quote seems appropriate to place here:


Along the lines of other items in the higher education space, see:

New Data Shows Emergency Pandemic Aid Helped Keep 18 Million Students Enrolled — from forbes.com by Edward Conroy

Excerpt:

The Department of Education (ED) has released new data showing that 18 million students were helped by emergency aid for colleges and universities throughout the height of the COVID-19 pandemic, more than half of which was used to provide emergency grants to students. These funds were provided through three rounds of Higher Education Emergency Relief Funds (HEERF) In total, $76.2 billion was provided, with half of those funds going to support students directly. Unusually for funding in higher education, the money was not heavily means-tested, and was distributed very quickly.

The report indicates that the funds were used for several essential purposes, including student basic needs, keeping staff employed, and helping keep students enrolled. For example, students used funds to cover things like food and housing at a time when employment was drying up for many students, ensuring that the Pandemic did not plunge students who already had limited funds deeper into basic needs insecurity.

Flagships prosper, while regionals suffer — from chronicle.com by Lee Gardner
Competition is getting fierce, and the gap is widening

Excerpts:

Some key numbers are moving in the right direction at the University of Oregon. The flagship institution enrolled 5,338 freshmen in the fall of 2022, its largest entering class ever. First-year enrollment increased 16 percent over 2021, which was also a record year. Meanwhile, Western Oregon University, a regional public institution an hour’s drive north, just outside Salem, lost nearly 7 percent of its enrollment over the same period.

In 28 states, flagships have seen enrollment rise between 2010 to 2021, while regionals have trended down, according to a Chronicle analysis of U.S. Education Department data. Across all states, enrollment at 78 public flagships rose 12.3 percent from 2010 to 2021, the most recent year for which data is available. Enrollment at 396 public regional universities slumped more than 4 percent during the same period.

Chronicle analysis of federal data showed, for example, that in Michigan, a state being hit hard by demographic shifts and with no central higher-ed authority, the flagship University of Michigan at Ann Arbor saw undergraduate enrollment rise 16 percent between 2010 and 2020. Over the same period, it fell at 11 of the state’s 12 other four-year public campuses.

 

Preparing Today’s Students for the Future Workforce — from rdene915.com by Rachelle Dené Poth

Excerpt:

Today’s high school students are the future of our workforce. Before long they will be in college or starting full-time jobs of their own. But how are today’s students preparing for their futures? What will the workforce look like when these students move on to the next stage of their lives?

Schools, districts, and even state education departments provide various programs for students to gain relevant work experience and gain necessary skills outside of the classroom.

What Are These Programs?
There are a number of school-based programs that support student growth through work such as…


Also relevant/see:


One Foot in the Future — from the BIG questions institute

As an excerpt from an email describing this new/free ebook, Homa Tavangar and Will Richardson write:

We need a fresh set of tools, frameworks, and lenses if we are to meet the future effectively.

With this new ebook, “One Foot in the Future,” we’re charting a different path forward, introducing readers to things like:

  • Design Fiction – A tool to help us become “archeologists of the future” and help us
  • Regenerative Learning – A lens that helps us see our work as it impacts all living things
  • Schoolpunk – A movement and a community to help imagine the future of education together.

And much more.

Our sense is that there is growing appetite to get out of the traditional school box and to design a more aspirational future. This new ebook is a great starting point for anyone who wants to do just that.

ONE FOOT IN THE FUTURE -- a free ebook from the BIG questions institute regarding new frameworks, tools, and lenses to help educators imagine what comes next

 

A quick and sobering guide to cloning yourself — from oneusefulthing.substack.com by Professor Ethan Mollick
It took me a few minutes to create a fake me giving a fake lecture.

Excerpt:

I think a lot of people do not realize how rapidly the multiple strands of generative AI (audio, text, images, and video) are advancing, and what that means for the future.

With just a photograph and 60 seconds of audio, you can now create a deepfake of yourself in just a matter of minutes by combining a few cheap AI tools. I’ve tried it myself, and the results are mind-blowing, even if they’re not completely convincing. Just a few months ago, this was impossible. Now, it’s a reality.

To start, you should probably watch the short video of Virtual Me and Real Me giving the same talk about entrepreneurship. Nothing about the Virtual Me part of the video is real, even the script was completely AI-generated.

.


From DSC:
Also, I wanted to post the resource below just because I think it’s an excellent question!

If ChatGPT Can Disrupt Google In 2023, What About Your Company? — from forbes.com by Glenn Gow

Excerpts:

Board members and corporate execs don’t need AI to decode the lessons to be learned from this. The lessons should be loud and clear: If even the mighty Google can be potentially overthrown by AI disruption, you should be concerned about what this may mean for your company.

Professions that will be disrupted by generative AI include marketing, copywriting, illustration and design, sales, customer support, software coding, video editing, film-making, 3D modeling, architecture, engineering, gaming, music production, legal contracts, and even scientific research. Software applications will soon emerge that will make it easy and intuitive for anyone to use generative AI for those fields and more.
.


 

ChatGPT sets record for fastest-growing user base – analyst note — from reuters.com by Krystal Hu

Excerpt (emphasis DSC):

Feb 1 (Reuters) – ChatGPT, the popular chatbot from OpenAI, is estimated to have reached 100 million monthly active users in January, just two months after launch, making it the fastest-growing consumer application in history, according to a UBS study on Wednesday.

The report, citing data from analytics firm Similarweb, said an average of about 13 million unique visitors had used ChatGPT per day in January, more than double the levels of December.

“In 20 years following the internet space, we cannot recall a faster ramp in a consumer internet app,” UBS analysts wrote in the note.


From DSC:
This reminds me of the current exponential pace of change that we are experiencing…

..and how we struggle with that kind of pace.

 

Incremental Change Didn’t Save Blockbuster. It Won’t Save Education, Either — from the74million.org by Mike Miles; with thanks to Rob Reynolds for this resource
Broken public school systems need wholescale change if they are going to prepare students for the skills they will need by 2035

Excerpt:

Perhaps the biggest failure of the current education ecosystem is its inability to envision what the future holds for our students and to make systemic changes now to prepare them for that future. Shackled to a monolithic, change-resistant system, school and district leaders continue to make incremental and piecemeal changes to a broken system expecting to get different outcomes.

In an analogous way, almost all public-school systems are like Blockbusters in the late 1990s — unwilling to assess the impact of technological advances and consider how they might need to revisit their design principles. In the end, if an organization does not move purposefully toward some likely future, then any path forward will do, and it is likely to be the path they are currently on.

From DSC:
The following quote…

Using a split-screen strategy, a district would not attempt to make systemic changes district-wide. Rather, it would implement transformative changes in one or two schools while continuing to make incremental improvements in the rest of the district. Once the schools operating with the new system principles achieve the outcomes and succeed, they will become proof points to allow the district to implement systemic change in even more schools over a period of time.

…made me think of a graphic (see below) — and an article out at evoLLLtion.com — I developed a while back re: the need for more Trim Tab Groups. I think we’re talking about the same thing here.

 


Addendum on 2/4/23:

A Few Educators ‘Going the Extra Mile’ Cannot Save the Education System — from edsurge.com by Jennifer Yoo-Brannon

Excerpt (emphasis DSC):

Not a Pyramid, But a Garden
Instead of a pyramid, let’s adopt a new image, a more organic one. School communities are webs of complex relationships, like gardens. Imagine if we all understood a school community like a Three Sisters Garden. In this Indigenous agricultural practice, corn, beans and squash grow together to create a sustainable cycle of growth in which the whole garden can thrive. Corn provides the tall stalks for the beans to climb. The large squash plant leaves provide shade so the soil can retain moisture, and the beans provide the nitrogen to fertilize the soil. The garden does not rely on the exploitation of one crop to allow the rest to grow.

From DSC:
Re: the emphasized text immediately above…that sounds like a learning ecosystem to me!  🙂


 

Educator considerations for ChatGPT — from platform.openai.com; with thanks to Anna Mills for this resource

Excerpt:

Streamlined and personalized teaching
Some examples of how we’ve seen educators exploring how to teach and learn with tools like ChatGPT:

  • Drafting and brainstorming for lesson plans and other activities
  • Help with design of quiz questions or other exercises
  • Experimenting with custom tutoring tools
  • Customizing materials for different preferences (simplifying language, adjusting to different reading levels, creating tailored activities for different interests)
  • Providing grammatical or structural feedback on portions of writing
  • Use in upskilling activities in areas like writing and coding (debugging code, revising writing, asking for explanations)
  • Critique AI generated text

While several of the above draw on ChatGPT’s potential to be explored as a tool for personalization, there are risks associated with such personalization as well, including student privacy, biased treatment, and development of unhealthy habits. Before students use tools that offer these services without direct supervision, they and their educators should understand the limitations of the tools outlined below.

Also relevant/see:

Excerpt (emphasis DSC):
David Wiley wrote a thoughtful post on the ways in which AI and Large Language Models (LLMs) can “provide instructional designers with first drafts of some of the work they do.” He says “imagine you’re an instructional designer who’s been paired with a faculty member to create a course in microeconomics. These tools might help you quickly create first drafts of” learning outcomes, discussion prompts, rubrics, and formative assessment items.  The point is that LLMs can quickly generate rough drafts that are mostly accurate drafts, that humans can then “review, augment, and polish,” potentially shifting the work of instructional designers from authors to editors. The post is well worth your time.

The question that I’d like to spend some time thinking about is the following: What new knowledge, capacities, and skills do  instructional designers need in their role as editors and users of LLMs?

This resonated with me. Instructional Designer positions are starting to require AI and ML chops. I’m introducing my grad students to AI and ChatGPT this semester. I have an assignment based on it.

(This ain’t your father’s instructional design…)

Robert Gibson


 

The practical guide to using AI to do stuff — from oneusefulthing.substack.com by Ethan Mollick; with thanks to Sam DeBrule for this resource. Ethan Mollick is a professor at the Wharton School of the University of Pennsylvania where he studies entrepreneurship & innovation, as well as how we can better learn and teach.
A resource for students in my classes (and other interested people).

Excerpts:

My classes now require AI (and if I didn’t require AI use, it wouldn’t matter, everyone is using AI anyway). But how can students use AI well? Here is a basic tutorial and guide I am providing my classes. It covers some of the many ways to use AI to be more productive, creative, and successful, using the technology available in early 2023, as well as some of the risks.

Come up with ideas 
Open Source Option: Nothing very good
Best free (for now) option: ChatGPT (registration may require a phone number)
Best option if ChatGPT is down: OpenAI Playground
.


Also relevant/see:

ChatGPT for educators -- a free 17 lesson course

 



On a relevant note:

Gen Z says school is not equipping them with the skills they need to survive in a digital world — from fastcompany.com by Shalene Gupta; with thanks to Robert Gibson for this resource
According to a study from Dell Technologies, Gen Z-ers in 15 different countries feel their government could do better.

Excerpt:

They see an education and skills gap: Forty-four percent said that school only taught them very basic computing skills, while 37% said that school education (for children under age 16) didn’t prepare them with the technology skills they needed for their planned careers. Forty percent consider learning new digital skills essential to future career options.

It’s clear that Gen Z see technology as pivotal for their future prosperity. It is now up to us—leading technology providers, governments, and the public sector—to work together and set them up for success by improving the quality and access to digital learning. Forty-four percent of Gen Z feel educators and businesses should work together to bridge the digital skills gap, and with the speed at which technology continues to evolve, this will require constant collaboration.

Aongus Hegarty, president of international markets at Dell Technologies


 

ChatGPT can’t be credited as an author, says world’s largest academic publisher — from theverge.com by James Vincent; with thanks to Robert Gibson on LinkedIn for the resource
But Springer Nature, which publishes thousands of scientific journals, says it has no problem with AI being used to help write research — as long as its use is properly disclosed.

Excerpt:

Springer Nature, the world’s largest academic publisher, has clarified its policies on the use of AI writing tools in scientific papers. The company announced this week that software like ChatGPT can’t be credited as an author in papers published in its thousands of journals. However, Springer says it has no problem with scientists using AI to help write or generate ideas for research, as long as this contribution is properly disclosed by the authors.


On somewhat-related notes:

Uplevel your prompt craft in ChatGPT with the CREATE framework — from edte.ch by Tom Barrett

Excerpt:

The acronym “CREATE” is a helpful guide for crafting high-quality prompts for AI tools. Each letter represents an important step in the process.

The first four CREA are all part of prompt writing, where TE, the final two are a cycle of reviewing and editing your prompts.

Let’s look at each in more detail, with some examples from ChatGPT to help.

BuzzFeed to Use ChatGPT Creator OpenAI to Help Create Quizzes and Other Content — from wsj.com by Alexandra Bruell (behind paywall)
CEO Jonah Peretti intends for artificial intelligence to play a larger role in the company this year


 

Phoenix Goes Nonprofit? — from read.letterhead.email by Paul Fain

Excerpt:

“We’re seeing dramatically increased competitive intensity,” he said. “Being online is no longer a differentiator.”

Also from Paul Fain:

A true alternative to a four-year college? — from workshift.opencampusmedia.org
The Marcy Lab School in New York City aims to offer a traditional college experience in just one year. We talked with co-founder Reuben Ogbonna about experimentation, growth, and student choice in higher ed.

Times Square in New York City -- Photo by Paulo Silva via Unsplash

Excerpts (emphasis DSC):

In our current landscape, jobs for young people that fall into this category are incredibly slim, but we see this as our opportunity to systematically remove the barriers, such as degree requirements, that shut out students like ours. Together with our partners, we are actively reframing what early talent success can look like.

Partners that “get it” are energized by the ability to co-create innovative new programs like apprenticeships with us directly. They are incredibly student-centric, and firmly believe in the power of growth for our students in professional environments that are fun, challenging, rewarding, and safe.

The success of our innovative model has been through intentional experimentation and thoughtful listening to what is working and not working, and then iterating on it. 

 
 

Also relevant/see:

 

Top edtech trends in 2023 and the ASU example — from news.asu.edu

Excerpt:

In spite of our tendency to break things down into tidy time frames, like a new year or academic semester, change constantly turns over the status quo. Especially in the world of technology, where disruptive innovation may evolve rapidly from the fringe to the mainstream.

“At ASU’s Enterprise Technology, we work in spaces where technology is not just revolutionizing higher education, but the world at large,” said Lev Gonick, chief information officer at Arizona State University. “We strive to be proactive, not reactive, to new paradigms changing the ways in which we work, learn and thrive.”

As referenced by the above article:

Thus, the top higher education technology trends to watch out for in 2023 include Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), Digital Twins, the Metaverse (including digital avatars and NFT art for use in the Metaverse and other Web3-based virtual environments), Internet of Things (IoT), Blockchain, Cloud, Gamification, and Chatbots. These technologies will support the expansion of the Digital Transformation of higher education going forward.

Also relevant/see:

 

 
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