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

 

Why Educators And Employers Must Come Together To Cross The Skills Gap — from forbes.com by Mark C. Perna

Excerpts:

Beyond the IT sector, skills gaps also exist in other areas of the economy, such as manufacturing and retail. There is a shortage of workers in the skilled trades industries, for example, which is growing more acute every year.

The other major factor in the growth of the skills gap is the aging of the Boomer generation, who are exiting the workforce—leaving open highly-skilled jobs that members of younger generations have not had the time or training to fill.

By 2030, forecasts predict that all Boomers will have left the job market—leaving some 85 million open jobs, according to a Korn Ferry study on the Global Talent Crunch. The cost? A projected $8.5 trillion in lost revenue.

Put another way, schools and employers need to team up in new ways to help provide access to members of the younger generation to gain the kinds of skills that make the skills gap a thing of the past. We need to connect the dots between school and work, because far too many people are getting lost in the middle.

And on a somewhat relevant note, also see:

General Assembly Launches Apprenticeship Solution to Help Employers Source, Deploy, and Retain Hard-to-Find Tech Talent — from finance.yahoo.com; via Paul Fain

Excerpt:

NEW YORK, Feb. 7, 2023 /PRNewswire/ — General Assembly (GA) today announced the launch of GA Apprenticeships, Powered by Interapt, a tech apprenticeship solution designed to fast-track high-potential, overlooked talent into careers in software engineering, data, and cybersecurity. In light of growing labor market challenges and ongoing skill shortages across a range of industries, this new model will provide employers with a derisked opportunity to onboard entry-level tech talent while also enabling apprentices to earn a salary as they learn alongside senior-level developers.

See Workers as Workers, Not as a College Credential — an opinion item out at nytimes.com (paywall)

In one of the richest nations on earth, the path to prosperity has narrowed significantly in recent decades — especially for those without a college education. More than 62 percent of Americans ages 25 and up do not hold bachelor’s degrees, and the earnings gapbetween those with a college education and those without one has never been wider.

 

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.

 

Introducing: ChatGPT Edu-Mega-Prompts — from drphilippahardman.substack.com by Dr. Philippa Hardman; with thanks to Ray Schroeder out on LinkedIn for this resource
How to combine the power of AI + learning science to improve your efficiency & effectiveness as an educator

From DSC:
Before relaying some excerpts, I want to say that I get the gist of what Dr. Hardman is saying re: quizzes. But I’m surprised to hear she had so many pedagogical concerns with quizzes. I, too, would like to see quizzes used as an instrument of learning and to practice recall — and not just for assessment. But I would give quizzes a higher thumbs up than what she did. I think she was also trying to say that quizzes don’t always identify misconceptions or inaccurate foundational information. 

Excerpts:

The Bad News: Most AI technologies that have been built specifically for educators in the last few years and months imitate and threaten to spread the use of broken instructional practices (i.e. content + quiz).

The Good News: Armed with prompts which are carefully crafted to ask the right thing in the right way, educators can use AI like GPT3 to improve the effectiveness of their instructional practices.

As is always the case, ChatGPT is your assistant. If you’re not happy with the result, you can edit and refine it using your expertise, either alone or through further conversation with ChatGPT.

For example, once the first response is generated, you can ask ChatGPT to make the activity more or less complex, to change the scenario and/or suggest more or different resources – the options are endless.

Philippa recommended checking out Rob Lennon’s streams of content. Here’s an example from his Twitter account:


Also relevant/see:

3 trends that may unlock AI's potential for Learning and Development in 2023

3 Trends That May Unlock AI’s Potential for L&D in 2023 — from learningguild.com by Juan Naranjo

Excerpts:

AI-assisted design and development work
This is the trend most likely to have a dramatic evolution this year.

Solutions like large language models, speech generators, content generators, image generators, translation tools, transcription tools, and video generators, among many others, will transform the way IDs create the learning experiences our organizations use. Two examples are:

1. IDs will be doing more curation and less creation:

  • Many IDs will start pulling raw material from content generators (built using natural language processing platforms like Open AI’s GPT-3, Microsoft’s LUIS, IBM’s Watson, Google’s BERT, etc.) to obtain ideas and drafts that they can then clean up and add to the assets they are assembling. As technology advances, the output from these platforms will be more suitable to become final drafts, and the curation and clean-up tasks will be faster and easier.
  • Then, the designer can leverage a solution like DALL-E 2 (or a product developed based on it) to obtain visuals that can (or not) be modified with programs like Illustrator or Photoshop (see image below for Dall-E’s “Cubist interpretation of AI and brain science.”

2. IDs will spend less, and in some cases no time at all, creating learning pathways

AI engines contained in LXPs and other platforms will select the right courses for employees and guide these learners from their current level of knowledge and skill to their goal state with substantially less human intervention.

 


The Creator of ChatGPT Thinks AI Should Be Regulated — from time.com by John Simons

Excerpts:

Somehow, Mira Murati can forthrightly discuss the dangers of AI while making you feel like it’s all going to be OK.

A growing number of leaders in the field are warning of the dangers of AI. Do you have any misgivings about the technology?

This is a unique moment in time where we do have agency in how it shapes society. And it goes both ways: the technology shapes us and we shape it. There are a lot of hard problems to figure out. How do you get the model to do the thing that you want it to do, and how you make sure it’s aligned with human intention and ultimately in service of humanity? There are also a ton of questions around societal impact, and there are a lot of ethical and philosophical questions that we need to consider. And it’s important that we bring in different voices, like philosophers, social scientists, artists, and people from the humanities.


Whispers of A.I.’s Modular Future — from newyorker.com by James Somers; via Sam DeBrule

Excerpts:

Gerganov adapted it from a program called Whisper, released in September by OpenAI, the same organization behind ChatGPTand dall-e. Whisper transcribes speech in more than ninety languages. In some of them, the software is capable of superhuman performance—that is, it can actually parse what somebody’s saying better than a human can.

Until recently, world-beating A.I.s like Whisper were the exclusive province of the big tech firms that developed them.

Ever since I’ve had tape to type up—lectures to transcribe, interviews to write down—I’ve dreamed of a program that would do it for me. The transcription process took so long, requiring so many small rewindings, that my hands and back would cramp. As a journalist, knowing what awaited me probably warped my reporting: instead of meeting someone in person with a tape recorder, it often seemed easier just to talk on the phone, typing up the good parts in the moment.

From DSC:
Journalism majors — and even seasoned journalists — should keep an eye on this type of application, as it will save them a significant amount of time and/or money.

Microsoft Teams Premium: Cut costs and add AI-powered productivity — from microsoft.com by Nicole Herskowitz

Excerpt:

Built on the familiar, all-in-one collaborative experience of Microsoft Teams, Teams Premium brings the latest technologies, including Large Language Models powered by OpenAI’s GPT-3.5, to make meetings more intelligent, personalized, and protected—whether it’s one-on-one, large meetings, virtual appointments, or webinars.


 

Meet MathGPT: a Chatbot Tutor Built Specific to a Math Textbook — from thejournal.com by Kristal Kuykendall

Excerpt:

Micro-tutoring platform PhotoStudy has unveiled a new chatbot built on OpenAI’s ChatGPT APIs that can teach a complete elementary algebra textbook with “extremely high accuracy,” the company said.

“Textbook publishers and teachers can now transform their textbooks and teaching with a ChatGPT-like assistant that can teach all the material in a textbook, assess student progress, provide personalized help in weaker areas, generate quizzes with support for text, images, audio, and ultimately a student customized avatar for video interaction,” PhotoStudy said in its news release.

Some sample questions the MathGPT tool can answer:

    • “I don’t know how to solve a linear equation…”
    • “I have no idea what’s going on in class but we are doing Chapter 2. Can we start at the top?”
    • “Can you help me understand how to solve this mixture of coins problem?”
    • “I need to practice for my midterm tomorrow, through Chapter 6. Help.”
 

Unbundled: Designing Personalized Pathways for Every Learner — from gettingsmart.com by Nate McClennen “with contributions from the Getting Smart team and numerous friends and partners in the field”

Excerpts:

In this publication, we articulate the critical steps needed to unbundle the learning ecosystem, build core competencies, design learning experiences, curate new opportunities, and rebundle these experiences into coherent pathways.
.

Building the Unbundled Ecosystem

Vision

Every learner deserves an unlimited number of unbundled opportunities to explore, engage, and define experiences that advance their progress along a co-designed educational pathway. Each pathway provides equitable and personalized access to stacked learning experiences leading to post-secondary credentials and secure family-sustaining employment. Throughout the journey, supportive coaches focus on helping learners build skills to navigate with agency. In parallel, learners develop foundational skills (literacy, math), technical skills, and durable skills and connect these to challenging co-designed experiences. The breadth and depth of experiences increase over time, and, in partnership, learners and coaches map progress towards reaching community-defined goals. This vision is only enabled by an unbundled learning ecosystem.

Recommendations

Solutions already exist in the ecosystem and need to be combined and scaled. Funding models (like My Tech High), badging/credentialing at the competency level (like VLACS), coaching models (like Big Thought), and open ecosystems (like NH Learn Everywhere) provide an excellent foundation. Thus, building unbundled systems has already begun but needs systemic changes to become widely available and accepted.

      1. Build a robust competency-based system.
      2. Create a two-way marketplace for unbundled learning.
      3. Implement policy to support credit for out-of-system experiences.
      4. Invest in technology infrastructure for Learning and Employment Records.
      5. Design interoperable badging systems that connect to credentials.
 

Colleges consider overhauling grading system for freshmen to ease transition to higher learning — from mercurynews.com by Kate Hull
Supporters say ‘ungrading’ could result in less stress and a more level playing field for students from less rigorous high schools  

Excerpt:

Dubbed “weed-out” or “gatekeeper” classes, they can be dream-crushing for many students — especially those hoping to enter the science, technology, engineering and math (STEM) fields. And a growing body of research says the courses can be particularly discriminatory toward historically excluded groups such as Latinos and Black and Indigenous people.

One possible remedy, some educators say, is “ungrading,” a style of teaching and assessment that seeks to evaluate students in other ways besides A-F letter grades — usually just in their freshman year.

“You’re trying to move the focus from a score to the learning,” said Robin Dunkin, who teaches biology and is the assistant faculty director at UCSC’s Center for Innovations in Teaching and Learning.  “For that reason, it’s immensely powerful.”


Also relevant see the #Ungrading hashtag on Twitter, from which the below item was taken:

Excerpts from Jesse Stommel’s Ungrading: an Introduction presentation:

An excerpt from Ungrading - an Introduction by Jesse Stommel

An excerpt from Ungrading - an Introduction by Jesse Stommel

An excerpt from Ungrading - an Introduction by Jesse Stommel


Also relevant/see Robert Talbert’s Grading for Growth.


 

 

How edtech companies should create and empower lifelong learners — from chieflearningofficer.com by Oleg Vilchinski

Excerpt:

Now is the ideal time for a flexible and competent market leader to emerge and seize this opportunity, delivering personalized and lifelong educational solutions and experiences that meet the needs of a learning-hungry populace.

Edtech businesses can address this widening skills gap and need for frequent job-switching through those same data-driven ecosystems, which can support the user through their career and leisure activities. For example, a user could sync their profile with their work’s employee portal to receive further professional development. Simultaneously, the technology would support the user during their spare time as they take courses or watch video content ranging from Adobe InDesign to gardening, further refining their skills. And, when it comes time to retire, the user’s trusted ecosystem has a backlog of data to recommend applicable hobbies and community events.

For example, a user could sync their profile with their work’s employee portal to receive further professional development.

 

A new path to higher education that begins on YouTube! — from blog.youtube by Katie Kurtz, Managing Director, Global Head of Learning

Excerpt:

We’ve partnered with Arizona State University (ASU) and Crash Course to create Study Hall, a new approach that demystifies the college process while creating an affordable and accessible onramp to earning college credit.

Also relevant/see:

YouTube Launches Video Program Creating a Pathway to Real College Credits — from by Joan E. Solsman
Using YouTube videos as a launchpad to Arizona State University virtual courses, people can work toward first-year college credit with little upfront cost.

YouTube unveils new program that enables students to earn college credits — from techcrunch.com by Aisha Malik

The program is expected to expand to 12 available courses by January 2025 to give students a chance to receive credit for an entire first year of college. There is a $25 fee if a student elects to sign up and begin coursework, and a $400 fee to receive college credit for each course.



 

Infinite AI Interns for Everybody — from wired.com by Matt Clifford; via Sam DeBrule
These assistants won’t just ease the workload, they’ll unleash a wave of entrepreneurship.

Excerpt:

Excitingly, though, there’s also a new generation of startups that are demonstrating that you don’t need a billion-dollar budget to get to the cutting edge of AI. Take Midjourney or Stability AI, applications which produce results that rival DALL-E, or Causaly (disclosure: I’m an investor), which allows scientists to find new causal relationships in life sciences with natural language questions. Then there is a growing list of new AI startups with impressive backers and more general ambitions, like Anthropic (an AI safety and research firm), Conjecture (which seeks to keep damaging factors such as racial bias out of AI), and Keen Technologies, which was founded by computer science legend John Carmack.

Just as the advent of the internet gave every startup a vastly scalable distribution engine, the era of AI superpowers will give every startup a vastly scalable production engine. 

 

From DSC:
Let’s put together a nationwide campaign that would provide a website — or a series of websites if an agreement can’t be reached amongst the individual states — about learning how to learn. In business, there’s a “direct-to-consumer” approach. Well, we could provide a “direct-to-learner” approach — from cradle to grave. Seeing as how everyone is now required to be a lifelong learner, such a campaign would have enormous benefits to all of the United States. This campaign would be located in airports, subway stations, train stations, on billboards along major highways, in libraries, and in many more locations.

We could focus on things such as:

  • Quizzing yourself / retrieval practice
  • Spaced retrieval
  • Interleaving
  • Elaboration
  • Chunking
  • Cognitive load
  • Learning by doing (active learning)
  • Journaling
  • The growth mindset
  • Metacognition (thinking about one’s thinking)
  • Highlighting doesn’t equal learning
  • There is deeper learning in the struggle
  • …and more.

A learn how to learn campaign covering airports, billboards, subways, train stations, highways, and more

 

A learn how to learn campaign covering airports, billboards, subways, train stations, highways, and more

 

A learn how to learn campaign covering airports, billboards, subways, train stations, highways, and more

 

A learn how to learn campaign covering airports, billboards, subways, train stations, highways, and more


NOTE:
The URL I’m using above doesn’t exist, at least not at the time of this posting.
But I’m proposing that it should exist.


A group of institutions, organizations, and individuals could contribute to this. For example The Learning Scientists, Daniel Willingham, Donald Clark, James Lang, Derek Bruff, The Learning Agency Lab, Robert Talbert, Pooja Agarwal and Patrice Bain, Eva Keffenheim, Benedict Carey, Ken Bain, and many others.

Perhaps there could be:

  • discussion forums to provide for social interaction/learning
  • scheduled/upcoming webinars
  • how to apply the latest evidence-based research in the classroom
  • link(s) to learning-related platforms and/or resources
 

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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