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Some example components of a learning ecosystem [Christian]

On 01/20/2023, in 21st century, A/V -- audio/visual, active learning, adjunct faculty, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), blended learning, blogs / blogging / vlogging, bots, Canvas - and other Instructure-related items, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communities of practice, community colleges, competency-based learning/education, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital audio, digital learning, digital textbooks, digital video, e-books, e-publishing related items (EPUB and more), education technology, educational games / serious games, elearning, face-to-face, faculty, heutagogy, higher education, human-computer interaction (HCI), hybrid learning, Hyflex learning, informal learning, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, learning theories, library / librarians, lifelong learning, microlearning, mobile learning, MOOCs -- Massive Open Online Courses, online learning, online media, online tutoring, open courseware and systems, parents, pedagogy, personalized/customized learning, platforms, play, podcasting, professional development, social learning / networks, social media, society, streams of content, student-related, teachers, teaching & learning, technology (general), tools, training / L&D, universities, videoconferencing, Virtual Reality (VR) / worlds / learning, vocational / trades, webinars, by Daniel Christian

A learning ecosystem is composed of people, tools, technologies, content, processes, culture, strategies, and any other resource that helps one learn. Learning ecosystems can be at an individual level as well as at an organizational level.

Some example components:

  • Subject Matter Experts (SMEs) such as faculty, staff, teachers, trainers, parents, coaches, directors, and others
  • Fellow employees
  • L&D/Training professionals
  • Managers
  • Instructional Designers
  • Librarians
  • Consultants
  • Types of learning
    • Active learning
    • Adult learning
    • PreK-12 education
    • Training/corporate learning
    • Vocational learning
    • Experiential learning
    • Competency-based learning
    • Self-directed learning (i.e., heutagogy)
    • Mobile learning
    • Online learning
    • Face-to-face-based learning
    • Hybrid/blended learning
    • Hyflex-based learning
    • Game-based learning
    • XR-based learning (AR, MR, and VR)
    • Informal learning
    • Formal learning
    • Lifelong learning
    • Microlearning
    • Personalized/customized learning
    • Play-based learning
  • Cloud-based learning apps
  • Coaching & mentoring
  • Peer feedback
  • Job aids/performance tools and other on-demand content
  • Websites
  • Conferences
  • Professional development
  • Professional organizations
  • Social networking
  • Social media – Twitter, LinkedIn, Facebook/Meta, other
  • Communities of practice
  • Artificial Intelligence (AI) — including ChatGPT, learning agents, learner profiles, 
  • LMS/CMS/Learning Experience Platforms
  • Tutorials
  • Videos — including on YouTube, Vimeo, other
  • Job-aids
  • E-learning-based resources
  • Books, digital textbooks, journals, and manuals
  • Enterprise social networks/tools
  • RSS feeds and blogging
  • Podcasts/vodcasts
  • Videoconferencing/audio-conferencing/virtual meetings
  • Capturing and sharing content
  • Tagging/rating/curating content
  • Decision support tools
  • Getting feedback
  • Webinars
  • In-person workshops
  • Discussion boards/forums
  • Chat/IM
  • VOIP
  • Online-based resources (periodicals, journals, magazines, newspapers, and others)
  • Learning spaces
  • Learning hubs
  • Learning preferences
  • Learning theories
  • Microschools
  • MOOCs
  • Open courseware
  • Portals
  • Wikis
  • Wikipedia
  • Slideshare
  • TED talks
  • …and many more components.

These people, tools, technologies, etc. are constantly morphing — as well as coming and going in and out of our lives.

 

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Top edtech trends in 2023

On 01/20/2023, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), Blockchain, bots, cloud-based computing / apps / other cloud-related, colleges, community colleges, credentialing, education technology, educational games / serious games, emerging technologies, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), innovation, Metaverse, Virtual Reality (VR) / worlds / learning, vision/possibilities, XR - extended reality, by Daniel Christian

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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9 ways ChatGPT saves me hours of work every day, and why you’ll never outcompete those who use AI effectively. [Valdarrama]

On 01/09/2023, in 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, computer science, professional development, programming, by Daniel Christian

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

Excerpts:

A list for those who write code:

  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…

Also relevant/see:

A Chat With Dead Legends & 3 Forecasts: The Return of Socratic Method, Assertive Falsehoods, & What’s Investable? — from implications.com by Scott Belsky
A rare “Cambrian Moment” is upon us, and the implications are both mind blowing and equally concerning, let’s explore the impact of a few forecasts in particular.

Excerpts:

Three forecasts are becoming clear…

  • Education will be reimagined by AI tools.
  • AI-powered results will be both highly confident and often wrong, this dangerous combo of inconsistent accuracy with high authority and assertiveness will be the long final mile to overcome.
  • The defensibility of these AI capabilities as stand-alone companies will rely on data moats, privacy preferences for consumers and enterprises, developer ecosystems, and GTM advantages. (still brewing, but let’s discuss)

…

As I suggested in Edition 1, ChatGPT has done to writing what the calculator did to arithmetic. But what other implications can we expect here?

  • The return of the Socratic method, at scale and on-demand…
  • The art and science of prompt engineering…
  • The bar for teaching will rise, as traditional research for paper-writing and memorization become antiquated ways of building knowledge.
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Education is about to radically change: AI for the masses [McClennen & Dené Poth]

On 01/07/2023, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, Bias | Diversity Equity & Inclusion (DE&I), bots, change, copyright/ownership/NFTs, education, education reform, education technology, emerging technologies, experimentation, future, game-changing environment, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, more voice more choice more control, new business models, Personal Learning Networks (PLNs), platforms, society, student-related, teachers, teaching & learning, United States, vendors, vision/possibilities, youth, by Daniel Christian

Education is about to radically change: AI for the masses — from gettingsmart.com by Nate McClennen and Rachelle Dené Poth

Key Points:

  • AI already does and will continue to impact education – along with every other sector.
  • Innovative education leaders have an opportunity to build the foundation for the most personalized learning system we have ever seen.

Action

Education leaders need to consider these possible futures now. There is no doubt that K-12 and higher ed learners will be using these tools immediately. It is not a question of preventing “AI plagiarism” (if such a thing could exist), but a question of how to modify teaching to take advantage of these new tools.

From DSC:
They go on to list some solid ideas and experiments to try out — both for students and for teachers. Thanks Nate and Rachelle!

Also from Rachelle, see:

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To chat or not to chat…

On 01/06/2023, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, bots, change, colleges, community colleges, content development, aggregation, repositories, education, education technology, experimentation, faculty, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, IT in HE, K-12 related, learning, learning ecosystem, mathematics, platforms, research, teaching & learning, technologies for your home, tools, United States, universities, vendors, writing, by Daniel Christian

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…
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Playing with ChatGPT: now I’m scared (a little) [Bates]

On 01/04/2023, in adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, Canada, colleges, community colleges, digital learning, distance education, education, education technology, emerging technologies, experimentation, faculty, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, online learning, teaching & learning, tools, universities, by Daniel Christian

Playing with ChatGPT: now I’m scared (a little) — from tonybates.ca by Tony Bates

Excerpt:

Over the holiday season, lots of people play games such as Scrabble, cards or crossword puzzles. I decided to play with ChatGPT by testing it in areas where I consider myself an expert. (For more about ChatGPT, go to Broom, 2022)

I will first of all show you the responses I got from ChatGPT, then I will discuss the results, comparing them to what I wrote about these topics in Teaching in a Digital Age.

Example questions that Tony asked (emphasis DSC):

  • What is the difference between synchronous and asynchronous learning? Give references.
  • What are the limitations of teaching chemistry online? Give references
  • What are the affordances of video in teaching? Give references
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Check this confluence of emerging technologies out!!!

On 12/24/2022, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), Blockchain, bots, computer science, game-changing environment, innovation, interaction design, interface design, internet, IT in HE, Natural Language Processing (NLP), programming, technology (general), usability, user experience (UX), user interface design, vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, voice recognition / voice enabled interfaces, XR - extended reality, by Daniel Christian

From DSC:
Check this confluence of emerging technologies out!

Also see:

How to spot AI-generated text — from technologyreview.com by Melissa Heikkilä
The internet is increasingly awash with text written by AI software. We need new tools to detect it.

Excerpt:

This sentence was written by an AI—or was it? OpenAI’s new chatbot, ChatGPT, presents us with a problem: How will we know whether what we read online is written by a human or a machine?
…
“If you have enough text, a really easy cue is the word ‘the’ occurs too many times,” says Daphne Ippolito, a senior research scientist at Google Brain, the company’s research unit for deep learning.
…
“A typo in the text is actually a really good indicator that it was human-written,” she adds.

7 Best Tech Developments of 2022 — from /thetechranch.comby

Excerpt:

As we near the end of 2022, it’s a great time to look back at some of the top technologies that have emerged this year. From AI and virtual reality to renewable energy and biotechnology, there have been a number of exciting developments that have the potential to shape the future in a big way. Here are some of the top technologies that have emerged in 2022:

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ChatGPT and The Professional’s Guide to Using AI [Miller]

On 12/22/2022, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, change, cloud-based computing / apps / other cloud-related, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, entrepreneurship, experimentation, future, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, lifelong learning, microlearning, online tutoring, productivity / tips and tricks, professional development, society, teachers, teaching & learning, technologies for your home, tools, training / L&D, universities, virtual tutoring, vision/possibilities, writing, by Daniel Christian

ChatGPT and The Professional’s Guide to Using AI — from linkedin.com by Allie K. Miller

Excerpt:

Real Ways Professionals Can Use ChatGPT to Improve Job Performance
Let’s dive into some real examples of how professionals across sales, marketing, product management, project management, recruiting, and teaching can take advantage of this new tool and leverage it for even more impact in their careers.

Teachers and ChatGPT

  1. Help with grading and feedback on student work.
    Example prompt: “Tell me every grammar rule that’s been violated in this student’s essay: [paste in essay]”
  2. Create personalized learning materials.
    Example prompt: “Help me explain photosynthesis to a 10th grade student in a way similar to sports.”
  3. Generate lesson plans and activities.
    Example prompt: “Create an activity for 50 students that revolves around how to learn the different colors of the rainbow.” or “Generate a lesson plan for a high school English class on the theme of identity and self-discovery, suitable for a 45-minute class period.”
  4. Write fake essays several reading levels below your class, then print them out, and have your students review and edit the AI’s work to make it better.
    Example prompt: “Generate a 5th grade level short essay about Maya Angelou and her work.”
  5. Providing one-on-one support to students.
    Example prompt: “How can I best empower an introverted student in my classroom during reading time?”

From DSC:
I haven’t tried these prompts. Rather I post this because I’m excited about the potential of Artificial Intelligence (AI) to help people teach and to help people to learn.

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Looking to 2023 and beyond — various postings/resources re: potential futures

On 12/22/2022, in 5G, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), bots, business, change, cloud-based computing / apps / other cloud-related, corporate / business world, data mining, education, emerging technologies, entrepreneurship, Europe, experimentation, future, game-changing environment, global / globalization, health, innovation, intelligent systems, internet, IT in HE, Metaverse, Mixed Reality (MR), Natural Language Processing (NLP), NVIDIA, robotics, technology (general), telemedicine / telehealth / virtual health, trends, United States, user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, voice recognition / voice enabled interfaces, workplace, XR - extended reality, by Daniel Christian

How AI And 5G Could Lead The Next Phase Of The Industrial Revolution — from swisscognitive.ch

Some use cases of the convergence of AI and 5G are:

  • Metaverse: AI is a key technology that helps bring Metaverse to life and now with the addition of 5G, streaming experiences would become enjoyable and maintaining connectivity without any disruption of external factors like geographical locations would be eliminated.
  • Digital assistants in the form of chatbots and virtual avatars: Digital assistants today use AI to replicate the human brain and converse with people in human language by understanding intent. With 5G the speed at which the speech is converted to text will improve drastically.
  • Education: AI and 5G are helping bring education to students’ doorstep through virtual reality and is making this available, efficiently as in real-world classrooms. Solving queries is possible quickly without any restrictions. Betty in Archie Comics attending her classes virtually is a reality due to these technologies.
  • Healthcare: AI and 5G in healthcare are proliferating an accurate diagnosis of diseases, real-time monitoring, and quick treatment facilities. This has become possible with the right use of data- collection, transmission, and analysis.
  • Automotive: AI and 5G together is making vehicles smarter and reducing the risk of mishaps on roads by employing various data-powered safety and driving efficiency measures in vehicles.

AI Timelines: What Do Experts in Artificial Intelligence Expect for the Future? — from singularityhub.com by Dr. Max Roser

Excerpt:

What I do take away from these surveys however, is that the majority of AI experts take the prospect of very powerful AI technology seriously. It is not the case that AI researchers dismiss extremely powerful AI as mere fantasy.

The huge majority thinks that in the coming decades there is an even chance that we will see AI technology which will have a transformative impact on our world. While some have long timelines, many think it is possible that we have very little time before these technologies arrive. Across the three surveys more than half think that there is a 50% chance that a human-level AI would be developed before some point in the 2060s, a time well within the lifetime of today’s young people.

Future Of Health: Top Five Digital Health Innovations For 2023 — from forbes.com by Anita Gupta

Excerpts:

  • Connected Digital Care
  • AI In Healthcare
  • Real-World Patient Engagement In Healthcare
  • Increase Security For Digital And Health Data
  • Improving Telehealth Services

Looking ahead to 2023: AI, machine learning, RTLS and robotic process automation — from healthcareitnews.com by Bill Siwicki
These advanced technologies will do more to help provider organizations with workflow optimization, staff shortages and the patient experience in the year ahead, one expert predicts.

Three reasons why NLP will go mainstream in healthcare in 2023 — from healthcareitnews.com by Bill Siwicki
A natural language processing expert explains why he feels the technology’s kinks have been ironed out, its ROI has been proven and the timing is right for healthcare to take advantage of information-extraction tools.

13 tech predictions for 2023 — from enterprisersproject.com by Katie Sanders
What can you expect in the world of IT next year? Business and IT leaders share their thoughts

Analysts Predictions About AI In 2023 — from forbes.com by Gil Press

Excerpts:

  • Automated software development
  • Automated content and commerce
  • Enterprise governance, risk, sustainability and security
  • Consumer interactions and experiences

Top 5 Edge AI Trends to Watch in 2023 — from nvidia.com by Amanda Saunders

Excerpt:

Until now, AI has operated almost exclusively in the cloud. But increasingly diverse streams of data are being generated around the clock from sensors at the edge. These require real-time inference, which is leading more AI deployments to move to edge computing.

For airports, stores, hospitals and more, AI brings advanced efficiency, automation and even cost reduction, which is why edge AI adoption accelerated last year.

In 2023, expect to see a similarly challenging environment, which will drive the following edge AI trends.

Digital transformation: 5 trends to watch in 2023 — from enterprisersproject.com by Ritish Reddy
As enterprises continue to digitally transform, IT leaders must look toward the future. Expect to see these trends in 2023

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How Skills Are Disrupting Work: The Transformational Power of Fast-Growing, In-Demand Skills [Dawson, Martin, Sigelman, Levanon, Blochinger, Thornton, & Chen]

On 12/17/2022, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, career development, cloud-based computing / apps / other cloud-related, corporate / business world, corporate universities / corporate training, Daniel S. Christian, Design Thinking, game-changing environment, innovation, leadership, learning ecosystem, lifelong learning, pace of change, platforms, reinvent, social media, staying relevant, strategy, surviving, training / L&D, United States, vendors, workplace, by Daniel Christian

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?

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“ChatGPT, Chatbots and Artificial Intelligence in Education” [Miller] and other items re: ChatGPT

On 12/17/2022, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, colleges, community colleges, education technology, emerging technologies, experimentation, faculty, future, Google, higher education, innovation, IT in HE, Microsoft, open courseware and systems, student teaching/teacher education, student-related, teaching & learning, tools, United States, universities, vendors, vision/possibilities, by Daniel Christian

ChatGPT, Chatbots and Artificial Intelligence in Education — from ditchthattextbook.com by Matt Miller
AI just stormed into the classroom with the emergence of ChatGPT. How do we teach now that it exists? How can we use it? Here are some ideas.

Excerpt:
Now, we’re wondering …

  • What is ChatGPT? And, more broadly, what are chatbots and AI?
  • How is this going to impact education?
  • How can I teach tomorrow knowing that this exists?
  • Can I use this as a tool for teaching and learning?
  • Should we block it through the school internet filter — or try to ban it?

Also relevant/see:

We gave ChatGPT a college-level microbiology quiz. It blew the quiz away. — from bigthink.com by Dr. Alex Berezow
ChatGPT’s capabilities are astonishing.

Key takeaways:

  • The tech world is abuzz over ChatGPT, a chat bot that is said to be the most advanced ever made.
  • It can create poems, songs, and even computer code. It convincingly constructed a passage of text on how to remove a peanut butter sandwich from a VCR, in the voice of the King James Bible.
  • As a PhD microbiologist, I devised a 10-question quiz that would be appropriate as a final exam for college-level microbiology students. ChatGPT blew it away.

ChatGPT Is Dumber Than You Think — from theatlantic.com by Ian Bogost
Treat it like a toy, not a tool.

Excerpt:

On the one hand, yes, ChatGPT is capable of producing prose that looks convincing. But on the other hand, what it means to be convincing depends on context. The kind of prose you might find engaging and even startling in the context of a generative encounter with an AI suddenly seems just terrible in the context of a professional essay published in a magazine such as The Atlantic. And, as Warner’s comments clarify, the writing you might find persuasive as a teacher (or marketing manager or lawyer or journalist or whatever else) might have been so by virtue of position rather than meaning: The essay was extant and competent; the report was in your inbox on time; the newspaper article communicated apparent facts that you were able to accept or reject.

I Would Have Cheated in College Using ChatGPT — from eliterate.us by Michael Feldstein

Excerpt:

These lines of demarcation—the lines between when a tool can do all of a job, some of it, or none of it—are both constantly moving and critical to watch. Because they define knowledge work and point to the future of work. We need to be teaching people how to do the kinds of knowledge work that computers can’t do well and are not likely to be able to do well in the near future. Much has been written about the economic implications to the AI revolution, some of which are problematic for the employment market. But we can put too much emphasis on that part. Learning about artificial intelligence can be a means for exploring, appreciating, and refining natural intelligence. These tools are fun. I learn from using them. Those two statements are connected.

Google to Rival OpenAI’s ChatGPT? New AI Bot for Chats in 2023, CEO Claims to Use it for Search — from techtimes.com by Isaiah Richard
Google to expand its Search engine with AI for 2023, but not in a creepy way.

Excerpt:

Google is planning to create a new AI feature for its Search engine, one that would rival the recently released and controversial ChatGPT from OpenAI. The company revealed this after a recent Google executive meeting that involved the likes of its CEO Sundar Pichai and AI head, Jeff Dean, that talked about the technology that the internet company already has, soon for development.

Employees from the Mountain View giant were concerned that it was behind the current AI trends to the likes of OpenAI despite already having a similar technology laying around.

And more focused on the business/vocational/corporate training worlds:

Sana raises $34M for its AI-based knowledge management and learning platform for workplaces — from techcrunch.com by Ingrid Lunden

There are a lot of knowledge management, enterprise learning and enterprise search products on the market today, but what Sana believes it has struck on uniquely is a platform that combines all three to work together: a knowledge management-meets-enterprise-search-meets-e-learning platform.

Exclusive: ChatGPT owner OpenAI projects $1 billion in revenue by 2024 — from reuters.com by Jeffrey Dastin, Krystal Hu, and Paresh Dave

Excerpt:

Three sources briefed on OpenAI’s recent pitch to investors said the organization expects $200 million in revenue next year and $1 billion by 2024.

The forecast, first reported by Reuters, represents how some in Silicon Valley are betting the underlying technology will go far beyond splashy and sometimes flawed public demos.

“We’re going to see advances in 2023 that people two years ago would have expected in 2033. It’s going to be extremely important not just for Microsoft’s future, but for everyone’s future,” he said in an interview this week.

Addendum on 12/21/22:

ChatGPT and higher education: last week and this week — from bryanalexander.org by Bryan Alexander

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Important trends in AI

On 11/15/2022, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, biology, bots, change, changing business models, chemistry, collaboration, computer science, ethics, future, platforms, programming, research, robotics, science, trends, by Daniel Christian

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)
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Recent Advancements In Artificial Intelligence [Tewari] + other items re: AI

On 11/09/2022, in 21st century, 24x7x365 access, art, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, business, career development, change, computer science, corporate / business world, creativity, data mining, educational games / serious games, emerging technologies, future, global / globalization, Google, languages and translation, marketing/social marketing, robotics, skills, workplace, by Daniel Christian

Recent Advancements In Artificial Intelligence — from forbes.com by Gaurav Tewari

Excerpts:

As the founder of a technology investment firm, I’ve seen firsthand just how much AI has advanced in such a short period of time. The underlying building blocks of the technology are getting astonishingly better at an exponential rate, far outpacing our expectations. Techniques like deep learning allow us to run complex AI models to solve the most difficult problems. But while those who work in technology-centric careers are aware of AI’s explosive capabilities, the public at large is still largely unaware of the depth of AI’s potential.

Enterprise functions such as marketing, sales, finance and HR are all areas that can utilize new AI-enabled applications; these applications include providing customers with 24/7 financial guidance, predicting and assessing loan risks and collecting and analyzing client data.

Also relevant/see:

What is the Future of Artificial Intelligence? — from thedigitalspeaker.com by Dr. Mark van Rijmenam

Excerpts:

Let’s explore some real-life artificial intelligence applications.

  1. Using Artificial Intelligence for Navigation
  2. Marketers Use Artificial Intelligence to Increase Their Efficiency
  3. The use of Artificial Intelligence in robotics
  4. Gaming and Artificial Intelligence
  5. Incorporating Artificial Intelligence into Lifestyles

Artificial intelligence (AI): 7 roles to prioritize now — from enterprisersproject.com by Marc Lewis; with thanks to Mr. Stephen Downes for this resource
Which artificial intelligence (AI) jobs are hottest now? Consider these seven AI/ML roles to prioritize in your organization

While these seven AI roles are critical, finding talent to fill them is difficult.  AI, machine learning, and data analytics are new fields, and few people have relevant experience.

This leads us back to the fact: We are dealing with a Great Reallocation of the labor force to an AI/Machine learning, data-driven world.

3 ways AI is scaling helpful technologies worldwide — from blog.google by Jeff Dean
Decades of research have led to today’s rapid progress in AI. Today, we’re announcing three new ways people are poised to benefit.

Excerpts:

  1. Supporting 1,000 languages with AI
  2. Empowering creators and artists with AI
  3. Addressing climate change and health challenges with AI
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Radar Trends to Watch: November 2022 [Loukides]

On 11/05/2022, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, computer science, data mining, digital audio, music, platforms, programming, by Daniel Christian
  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.

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How AI will change Education: Part I | Transcend Newsletter #59 [Arenaza]

On 11/05/2022, in 21st century, 24x7x365 access, art, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, assistive technologies, bots, change, colleges, community colleges, content development, aggregation, repositories, copyright/ownership/NFTs, creativity, education, education technology, emerging technologies, future, future of higher education, game-changing environment, generational differences, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, languages and translation, law schools, learning, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, platforms, reading, teachers, teaching & learning, the downsides of technology, tools, training / L&D, United States, universities, vendors, vision/possibilities, writing, youth, by Daniel Christian

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.

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