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14 Technology Predictions for Higher Education in 2023 [Kelly]

On 01/17/2023, in accessibility / UDL, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, blended learning, career development, change, collaboration, colleges, community colleges, credentialing, data related items, education technology, emerging technologies, experimentation, future, global / globalization, higher education, human-computer interaction (HCI), hybrid learning, ideas, innovation, instructional design, IT in HE, learning ecosystem, Learning Experience Design, learning preferences, liberal arts, lifelong learning, online learning, personalized/customized learning, skills, teaching & learning, technology (general), tools, United States, universities, vendors, by Daniel Christian

14 Technology Predictions for Higher Education in 2023 — from campustechnology.com by Rhea Kelly
How will technologies and practices like artificial intelligence, predictive analytics, digital transformation, and change management impact colleges and universities this year? Here’s what the experts told us.

Excerpt:

In an open call on LinkedIn, we asked higher education and ed tech industry leaders to forecast the most important trends to watch in the coming year. Their responses reflect both the challenges on the horizon — persistent cyber attacks, the disruptive force of emerging technologies, failures in project management — as well as the opportunities that technology brings to better serve students and support the institutional mission. Here are 14 predictions to help steer your technology efforts in 2023.

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Reflections on “What factors help active learning classrooms succeed?” [Talbert]

On 01/16/2023, in 21st century, A/V -- audio/visual, active learning, adjunct faculty, adult learning, collaboration, colleges, communications, communities of practice, community colleges, corporate universities / corporate training, culture, Daniel S. Christian, design, digital audio, digital learning, digital video, distance education, education technology, engagement / engaging students, experimentation, face-to-face, faculty, higher education, instructional design, interactivity, IT in HE, law schools, leadership, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning spaces, liberal arts, participation, pedagogy, research, social learning / networks, social media, strategy, student-related, teaching & learning, training / L&D, United States, universities, user experience (UX), using teams, videoconferencing, vision/possibilities, by Daniel Christian

What factors help active learning classrooms succeed? — from rtalbert.org Robert Talbert

Excerpt:

The idea that the space in which you do something, affects the thing you do is the basic premise behind active learning classrooms (ALCs).
…
The biggest message I get from this study is that in order to have success with active learning classrooms, you can’t just build them — they have to be introduced as part of an ecosystem that touches almost all parts of the daily function of a university: faculty teaching, faculty development and support, facilities, and the Registrar’s Office to name a few. Without that ecosystem before you build an ALC, it seems hard to have success with students after it’s built. You’re more likely to have an expensive showcase that looks good but ultimately does not fulfill its main purpose: Promoting and amplifying active learning, and moving the culture of a campus toward active engagement in the classroom.

From DSC:
Thank you Robert for your article/posting here! And thank you for being one of the few faculty members who:

  • Regularly share information out on LinkedIn, Twitter, and your blog (something that is all too rare for faculty members throughout higher education)
  • Took a sabbatical to go work at a company that designs and develops numerous options for implementing active learning setups throughout the worlds of higher education, K12 education, and the corporate world as well. You are taking your skills to help contribute to the corporate world, while learning things out in the corporate world, and then  taking these learnings back into the world of higher education.

This presupposes something controversial: That the institution will take a stand on the issue that there is a preferred way to teach, namely active learning, and that the institution will be moving toward making active learning the default pedagogy at the institution. Putting this stake in the ground, and then investing not only in facilities but in professional development and faculty incentives to make it happen, again calls for vigorous, sustained leadership — at the top, and especially by the teaching/learning center director.

Robert Talbert

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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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Several resources re: ChatGPT and teaching/learning implications from McMurtrie, Mills, & Co.

On 01/05/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, change, colleges, community colleges, emerging technologies, faculty, higher education, innovation, instructional design, IT in HE, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, pedagogy, teaching & learning, tools, United States, universities, by Daniel Christian

Teaching: Will ChatGPT Change the Way You Teach? — from Chronicle.com by Beth McMurtrie

Excerpt:

Want to get involved in the conversation around AI writing tools? Here are a few resources you might find helpful.

Anna Mills has put together several documents:

Elsewhere, a group of professors is compiling examples of how instructors are using text generation technologies in their assignments. The results will be published in an open-access collection. You can find out more about the project on this site, Teaching with Text Generation Technologies.

If you’re rather listen to a discussion, here are a couple of webinars:

 

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Here are 6 companies that are currently defining the future of [AI-based] content creation [Bardeen]

On 12/31/2022, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital audio, digital learning, digital video, education technology, experimentation, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, maker movement, platforms, productivity / tips and tricks, tools, training / L&D, vision/possibilities, by Daniel Christian

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What if every college/university classroom had a “remote learning channel?” [Christian]

On 12/31/2022, in 21st century, A/V -- audio/visual, adult learning, business side of he, changing business models, colleges, community colleges, distance education, education technology, experimentation, higher education, ideas, innovation, IT in HE, law schools, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, lifelong learning, social learning / networks, society, streams of content, United States, universities, videoconferencing, Virtual Reality (VR) / worlds / learning, vision/possibilities, web-based collaboration, youth, by Daniel Christian

From DSC:
Perhaps such a network type of setup could provide audio-visual-based links that people could provide to one another.

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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 related items, 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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Nah…MOOCs don’t impact anything. NOT!

On 12/21/2022, in 21st century, 24x7x365 access, Alternatives, business, business side of he, future of higher education, game-changing environment, higher education, innovation, instructional design, IT in HE, learning ecosystem, Learning from the Living [Class] Room, MOOCs -- Massive Open Online Courses, new business models, online learning, United States, universities, vendors, by Daniel Christian
Imagine my delight when co-founder of Coursera Daphne Koehler came into my office in 2012 to explain the radical concept behind her new business. What if you could Partner with the World’s best universities and professors to provide FREE online courses? Like other successful FREEMIUM models, you monetize the platform downstream by creating massive network effects and convert a small percentage to paying customers (we had invested in other successful FREEMIUM models such as Facebook, Twitter, Spotify and Snap, so why wouldn’t that work here?)
…
…
Today, over 113 million learners from around the world access the platform to gain knowledge, to earn certificates and get diplomas from the top universities.

The Coursera ride has been amazing for most of the past decade, with over 100 million students, 200 universities and 5000 courses on the platform. And while the vast majority of the students on Coursera don’t pay a dime, the company has built a business with over $500 million in revenue and nearly a $2 billion market cap today.

Estimates are for the company to do $520 million in revenue in 2022, up from $415 million in 2021 and estimated $623 million in 2023. Coursera is losing money currently but has $424 million in cash and could turn profitable if it prioritized that and sells at 1.3x 2023 sales.

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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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AI bot ChatGPT stuns academics with essay-writing skills and usability [Hern]

On 12/14/2022, in adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, colleges, community colleges, computer science, content development, aggregation, repositories, digital learning, education, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, instructional design, IT in HE, law schools, learning ecosystem, Learning Experience Design, Microsoft, online media, open courseware and systems, platforms, productivity / tips and tricks, programming, the downsides of how people use tech, tools, UK, United States, universities, vendors, writing, by Daniel Christian

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

Excerpt:

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

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

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

 

Also related/see:

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

Excerpts:

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

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

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

 

 

 

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

Excerpt:

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

 

And on the legal side of things:

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How to Receive Feedback With a Growth Mindset [NeuroLeadership Institute ]

On 12/10/2022, in career development, communications, corporate / business world, corporate universities / corporate training, education, higher education, IT in HE, K-12 related, law schools, motivation, parents/guardians, participation, productivity / tips and tricks, student-related, teachers, teaching & learning, training / L&D, workplace, by Daniel Christian

How to Receive Feedback With a Growth Mindset — from neuroleadership.com by the NeuroLeadership Institute

Excerpt:

A growth mindset can help us view feedback as a good thing, which ultimately makes performance reviews more effective. After all, we want to learn, grow, and improve our skills. People with a fixed mindset view criticism as an attack on their self-worth. Growth mindset, by contrast, leaves room for the possibility that we all have blind spots — and that your manager may have valuable insights on how you can hone your skills. Feedback, in other words, isn’t personal. A manager may critique our performance, but a growth mindset helps keep us from tying our performance to our identity.
…
The beauty of growth mindset is that it’s self-reinforcing. As you gain more confidence in your own ability to learn and grow, each feedback conversation becomes easier than the last. You become more capable of discussing high-stakes issues with honesty and transparency because neither side feels threatened.

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Is a teleprompter a feature in our future Augmented Reality (AR) glasses? Our Virtual Reality (VR) headsets?

On 12/09/2022, in 21st century, A/V -- audio/visual, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assistive technologies, Augmented Reality (AR), cloud-based computing / apps / other cloud-related, colleges, communications, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital learning, education technology, emerging technologies, experimentation, face-to-face, faculty, faith, future, higher education, ideas, innovation, instructional design, IT in HE, K-12 related, law schools, leadership, mobile technologies, Natural Language Processing (NLP), presentations, productivity / tips and tricks, tablets, teachers, teaching & learning, tools, training / L&D, universities, vendors, videoconferencing, Virtual courts and law firms, Virtual Reality (VR) / worlds / learning, vision/possibilities, visualizing information, voice recognition / voice enabled interfaces, wearables, Web3, XR - extended reality, by Daniel Christian

From DSC:
I was watching a sermon the other day, and I’m always amazed when the pastor doesn’t need to read their notes (or hardly ever refers to them). And they can still do this in a much longer sermon too. Not me man.

It got me wondering about the idea of having a teleprompter on our future Augmented Reality (AR) glasses and/or on our Virtual Reality (VR) headsets.  Or perhaps such functionality will be provided on our mobile devices as well (i.e., our smartphones, tablets, laptops, other) via cloud-based applications.

One could see one’s presentation, sermon, main points for the meeting, what charges are being brought against the defendant, etc. and the system would know to scroll down as you said the words (via Natural Language Processing (NLP)).  If you went off script, the system would stop scrolling and you might need to scroll down manually or just begin where you left off.

For that matter, I suppose a faculty member could turn on and off a feed for an AI-based stream of content on where a topic is in the textbook. Or a CEO or University President could get prompted to refer to a particular section of the Strategic Plan. Hmmm…I don’t know…it might be too much cognitive load/overload…I’d have to try it out.

And/or perhaps this is a feature in our future videoconferencing applications.

But I just wanted to throw these ideas out there in case someone wanted to run with one or more of them.

Along these lines, see:

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Is a teleprompter a feature in our future Augmented Reality (AR) glasses?

Is a teleprompter a feature in our future Augmented Reality (AR) glasses?

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2023 Higher Education Trend Watch [Educause]

On 12/07/2022, in adjunct faculty, Bias | Diversity Equity & Inclusion (DE&I), blended learning, Blockchain, business side of he, colleges, community colleges, copyright/ownership/NFTs, cost of getting a degree, credentialing, cryptocurrencies, data related items, faculty, future of higher education, game-changing environment, health, higher education, hybrid learning, Hyflex learning, IT in HE, learning ecosystem, Learning from the Living [Class] Room, learning preferences, learning spaces, legislatures / government / legal, online learning, privacy, reinvent, society, staying relevant, student-related, surviving, teaching & learning, teaching online, United States, universities, by Daniel Christian

2023 Higher Education Trend Watch — from educause.edu

2023 Higher Education Trend Watch

Also see:

2023 Strategic Trends Glossary — from educause.edu

Excerpts:

  • Closer alignment of higher education with workforce needs and skills-based learning
  • Continuation and normalization of hybrid and online learning
  • Continued adoption and normalization of hybrid and remote work arrangements
  • Continued resignation and migration of leaders and staff from higher education institutions
  • Declining public funding for higher education
  • …and more
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