experimentation

Our AI predictions for 2024 — from superhuman.ai by Zain Kahn
ALSO: How to create videos with ChatGPT

AI-generated video becomes a reality
AI will become an essential skill for job seekers, as employers rush to adopt AI
AI will unlock new use cases for smartphones, as more efficient models enable AI features on smaller devices
AI models will become smaller, cheaper and multimodal
Expect drama — a lot more drama

Morgan Stanley predicts that AI will affect 40% of the workforce in the next 3 years.

AI University for UK? [Clark]

On 01/05/2024, in 21st century, 24x7x365 access, apprenticeships, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, change, changing business models, competency-based learning/education, content development, aggregation, repositories, credentialing, culture, curriculum, Design Thinking, digital learning, education technology, emerging technologies, experimentation, future, future of higher education, higher education, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, lifelong learning, multimedia, online learning, open courseware and systems, personalized/customized learning, strategy, student-related, teachers, teaching & learning, teaching online, tools, UK, United States, universities, vision/possibilities, by Daniel Christian

AI University for UK? — from donaldclarkplanb.blogspot.com by Donald Clark

Tertiary Education in the UK needs a fresh idea. What we need is an initiative on the same scale as The Open University, kicked off over 50 years ago.
…
It is clear that an educational vision is needed and I think the best starting point is that outlined and executed by Paul LeBlanc at SNHU. It is substantial, well articulated and has worked in what has become the largest University in the US.

It would be based on the competence model, with a focus on skills shortages. Here’s a starter with 25 ideas, a manifesto of sorts, based on lessons learnt from other successful models:

Non-traditional students in terms of age and background
Quick and easy application process
Personalised learning using AI
Multimodal from the start
Full range of summarisation, create self-assessment, dialogue tools
Focus on generative learning using AI
…and Donald lists many more (ending at #25)

Your own AI-powered coaching; learn exactly what you need to know for your next job; + AI’s role in skill development

On 01/04/2024, in 21st century, adult learning, Alternatives, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, career development, colleges, community colleges, corporate / business world, corporate universities / corporate training, digital learning, education technology, emerging technologies, experimentation, future, future of higher education, game-changing environment, higher education, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, Microsoft, online learning, online media, online tutoring, organizational change, pace of change, platforms, professional development, reinvent, skills, streams of content, training / L&D, United States, universities, vendors, vision/possibilities, workplace, by Daniel Christian

Learners’ Edition: AI-powered Coaching, Professional Certifications + Inspiring conversations about mastering your learning & speaking skills — from linkedin.com by Tomer Cohen

Excerpts:

1. Your own AI-powered coaching
Learners can go into LinkedIn Learning and ask a question or explain a challenge they are currently facing at work (we’re focusing on areas within Leadership and Management to start). AI-powered coaching will pull from the collective knowledge of our expansive LinkedIn Learning library and, instantaneously, offer advice, examples, or feedback that is personalized to the learner’s skills, job, and career goals.

What makes us so excited about this launch is we can now take everything we as LinkedIn know about people’s careers and how they navigate them and help accelerate them with AI.

…

3. Learn exactly what you need to know for your next job
When looking for a new job, it’s often the time we think about refreshing our LinkedIn profiles. It’s also a time we can refresh our skills. And with skill sets for jobs having changed by 25% since 2015 – with the number expected to increase by 65% by 2030– keeping our skills a step ahead is one of the most important things we can do to stand out.

There are a couple of ways we’re making it easier to learn exactly what you need to know for your next job:

When you set a job alert, in addition to being notified about open jobs, we’ll recommend learning courses and Professional Certificate offerings to help you build the skills needed for that role.

When you view a job, we recommend specific courses to help you build the required skills. If you have LinkedIn Learning access through your company or as part of a Premium subscription, you can follow the skills for the job, that way we can let you know when we launch new courses for those skills and recommend you content on LinkedIn that better aligns to your career goals.

2024 Edtech Predictions from Edtech Insiders — from edtechinsiders.substack.com by Alex Sarlin, Ben Kornell, and Sarah Morin
Omni-modal AI, edtech funding prospects, higher ed wake up calls, focus on career training, and more!

Alex: I talked to the 360 Learning folks at one point and they had this really interesting epiphany, which is basically that it’s been almost impossible for every individual company in the past to create a hierarchy of skills and a hierarchy of positions and actually organize what it looks like for people to move around and upskill within the company and get to new paths.

Until now. AI actually can do this very well. It can take not only job description data, but it can take actual performance data. It can actually look at what people do on a daily basis and back fit that to training, create automatic training based on it.

From DSC:
I appreciated how they addressed K-12, higher ed, and the workforce all in one posting. Nice work. We don’t need siloes. We need more overall design thinking re: our learning ecosystems — as well as more collaborations. We need more on-ramps and pathways in a person’s learning/career journey.

The biggest things that happened in AI this year — from superhuman.ai by Zain Kahn

January:

Microsoft raises eyebrows with a huge $10 Billion investment in OpenAI.

February:

Meta launches Llama 2, their open-source rival to OpenAI’s models.
OpenAI announces ChatGPT Plus, a paid version of their chatbot.
Microsoft announces a new AI-powered Bing Search.

March:

OpenAI announces the powerful GPT-4 model, still considered to be the gold standard.
Midjourney releases V5, which brings AI-powered image generation one step closer to reality.
Microsoft launches Copilot for Microsoft 365.
Google launches Bard, its rival to ChatGPT.

…and more

AI 2023: A Year in Review — from stefanbauschard.substack.com by Stefan Bauschard
2023 developments in AI and a hint of what they are building toward

Some of the items that Stefan includes in his posting include:

ChatGPT and other language models that generate text.
Image generators.
Video generators.
AI models that that can read, hear, and speak.
AI models that can see.
Improving models.
“Multimodal” models.
Training on specific content.
Reasoning & planning.
…and several others

The Dictionary.com Word of the Year is “hallucinate.” — from content.dictionary.com by Nick Norlen and Grant Barrett; via The Rundown AI

hallucinate
[ huh–loo-suh-neyt ]

verb
(of artificial intelligence) to produce false information contrary to the intent of the user and present it as if true and factual. Example: When chatbots hallucinate, the result is often not just inaccurate but completely fabricated.

Soon, every employee will be both AI builder and AI consumer — from zdnet.com by Joe McKendrick, via Robert Gibson on LinkedIn
“Standardized tools and platforms as well as advanced low- or no-code tech may enable all employees to become low-level engineers,” suggests a recent report.

The time could be ripe for a blurring of the lines between developers and end-users, a recent report out of Deloitte suggests. It makes more business sense to focus on bringing in citizen developers for ground-level programming, versus seeking superstar software engineers, the report’s authors argue, or — as they put it — “instead of transforming from a 1x to a 10x engineer, employees outside the tech division could be going from zero to one.”

Along these lines, see:

TECH TRENDS 2024 — from deloitte.com
Six emerging technology trends demonstrate that in an age of generative machines, it’s more important than ever for organizations to maintain an integrated business strategy, a solid technology foundation, and a creative workforce.

UK Supreme Court rules AI is not an inventor — from theverge.com by Emilia David

The ruling follows a similar decision denying patent registrations naming AI as creators.

The UK Supreme Court ruled that AI cannot get patents, declaring it cannot be named as an inventor of new products because the law considers only humans or companies to be creators.

The Times Sues OpenAI and Microsoft Over A.I. Use of Copyrighted Work — from nytimes.com by Michael M. Grynbaum and Ryan Mac

The New York Times sued OpenAI and Microsoft for copyright infringement on Wednesday, opening a new front in the increasingly intense legal battle over the unauthorized use of published work to train artificial intelligence technologies.
…
The suit does not include an exact monetary demand. But it says the defendants should be held responsible for “billions of dollars in statutory and actual damages” related to the “unlawful copying and use of The Times’s uniquely valuable works.” It also calls for the companies to destroy any chatbot models and training data that use copyrighted material from The Times.

On this same topic, also see:

? The historic NYT v. @OpenAI lawsuit filed this morning, as broken down by me, an IP and AI lawyer, general counsel, and longtime tech person and enthusiast.

Tl;dr – It’s the best case yet alleging that generative AI is copyright infringement. Thread. ? pic.twitter.com/Zqbv3ekLWt

— Cecilia Ziniti (@CeciliaZin) December 27, 2023

Apple’s iPhone Design Chief Enlisted by Jony Ive, Sam Altman to Work on AI Devices — from bloomberg.com by Mark Gurman (behind paywall)

Design executive Tang Tan is set to leave Apple in February
Tan will join Ive’s LoveFrom design studio, work on AI project

AI 2023: Chatbots Spark New Tools — from heatherbcooper.substack.com by Jeather Cooper

ChatGPT and Other Chatbots
The arrival of ChatGPT sparked tons of new AI tools and changed the way we thought about using a chatbot in our daily lives.

Chatbots like ChatGPT, Perplexity, Claude, and Bing Chat can help content creators by quickly generating ideas, outlines, drafts, and full pieces of content, allowing creators to produce more high-quality content in less time.

These AI tools boost efficiency and creativity in content production across formats like blog posts, social captions, newsletters, and more.

Microsoft’s next Surface laptops will reportedly be its first true ‘AI PCs’ — from theverge.com by Emma Roth
Next year’s Surface Laptop 6 and Surface Pro 10 will feature Arm and Intel options, according to Windows Central.

Microsoft is getting ready to upgrade its Surface lineup with new AI-enabled features, according to a report from Windows Central. Unnamed sources told the outlet the upcoming Surface Pro 10 and Surface Laptop 6 will come with a next-gen neural processing unit (NPU), along with Intel and Arm-based options.

How one of the world’s oldest newspapers is using AI to reinvent journalism — from theguardian.com by Alexandra Topping
Berrow’s Worcester Journal is one of several papers owned by the UK’s second biggest regional news publisher to hire ‘AI-assisted’ reporters

With the AI-assisted reporter churning out bread and butter content, other reporters in the newsroom are freed up to go to court, meet a councillor for a coffee or attend a village fete, says the Worcester News editor, Stephanie Preece.

“AI can’t be at the scene of a crash, in court, in a council meeting, it can’t visit a grieving family or look somebody in the eye and tell that they’re lying. All it does is free up the reporters to do more of that,” she says. “Instead of shying away from it, or being scared of it, we are saying AI is here to stay – so how can we harness it?”

This year, I watched AI change the world in real time.

From what happened, I have no doubts that the coming years will be the most transformative period in the history of humankind.

Here’s the full timeline of AI in 2023 (January-December):

January 15: ChatGPT becomes the… pic.twitter.com/przosHYiLQ

— Rowan Cheung (@rowancheung) December 29, 2023

What to Expect in AI in 2024 — from hai.stanford.edu by
Seven Stanford HAI faculty and fellows predict the biggest stories for next year in artificial intelligence.

Topics include:

White Collar Work Shifts
Deepfake Proliferation
GPUs Shortage
More Helpful Agents
Hopes for U.S. Regulation
Asking Big Questions, Applying New Policies
Companies Will Navigate Complicated Regulations

Addendum on 1/2/24:

2024 AI Predictions: Material Progress with Societal and Educational Disruptions — from stefanbauschard.substack.com by Stefan Bauschard
These are my predictions for 2024, focused on AI’s likely technological advances, how AI will impact society, and what developments in the education sector relate to AI.

ChatGPT Has Changed Teaching. Our Readers Tell Us How. [McMurtrie & Supiano] + other items re: AI in our Learning Ecosystems

On 12/20/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, change, colleges, community colleges, content development, aggregation, repositories, education, education technology, emerging technologies, engagement / engaging students, experimentation, faculty, future, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, K-12 related, leadership, learning, learning ecosystem, Learning Experience Design, more voice more choice more control, productivity / tips and tricks, professional development, strategy, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, tools, trends, United States, universities, vendors, vision/possibilities, writing, by Daniel Christian

K12 District-Level Perspectives on AI — from aiforeducation.io by Amanda Bickerstaff, Dr. Patrick Gittisriboongul, Samantha Armstrong, & Brett Roer

Want to know how K12 schools are navigating the adoption of AI and what district-level leaders really think about GenAI EdTech tools?

Join us for this free webinar where we discussed AI technology, literacy, training, and the responsible adoption of GenAI tools in K12. Our panel explored what is working well – and not so well – across their districts from a school leader and practitioner’s perspective.

ChatGPT Has Changed Teaching. Our Readers Tell Us How. — from chronicle.com by Beth McMurtrie and Beckie Supiano

Those vastly different approaches to college writing pretty much sum up the responses to generative AI: They’re all over the map.

One year after its release, ChatGPT has pushed higher education into a liminal place. Colleges are still hammering out large-scale plans and policies governing how generative AI will be dealt with in operations, research, and academic programming. But professors have been forced more immediately to adapt their classrooms to its presence. Those adaptations vary significantly, depending on whether they see the technology as a tool that can aid learning or as a threat that inhibits it.
…
Nearly 100 faculty members shared their stories. While not a representative sample, they teach at a wide range of institutions: 15 community colleges, 32 public and 24 private four-year colleges or universities, seven international institutions, and one for-profit college. They teach a variety of subjects, including animal science, statistics, computer science, history, accounting, and composition. Many spent hours learning about AI: enrolling in workshops and webinars, experimenting with the tools, and reading articles, so that they could enter the fall semester informed and prepared.

The Disruption of AI in CTE Is Real — from techlearning.com by Annie Galvin Teich
An ACTE expert panel urges CTE educators to jump on the AI train as it’s already left the station

10 Best Practices for AI and CTE

Embrace AI and use it first for simple tasks to create efficiencies. Then use it to individualize instruction and for formative assessment tools aligned to standards.
Be creative and conscious of internal bias and ethics. Focus on DEI and access.
Encourage students to use apps and tools to start moving toward an integrated curriculum using AI.
Prepare students for jobs of the future by partnering with industry to solve real problems.
…and others

How are universities responding to generative AI? — from medium.com by Nic Newman
What’s next for higher education as we enter a new wave of edtech innovation: AI-powered learning

Where will AI make a big difference?
At Emerge, we have identified eight high-level trends — what we’re calling “engines of opportunity”. These eight “engines of opportunity” capture our ideas about how AI is being used to drive better practice and outcomes in HE, now and into the future.

They fall into two main categories:

Making learning more engaging: solutions that scale high quality pedagogy at low cost.
Making teaching more efficient: solutions that save educators and organisations time and money.

Learning Societies — “A sweet spot between traditional schooling and at-home online learning” [Gottlieb]

On 12/20/2023, in Alternatives, education, education reform, experimentation, homeschooling/homeschoolers, ideas, instructional design, K-12 related, learning ecosystem, Learning Experience Design, online learning, student-related, teachers, teaching & learning, United States, user experience (UX), vision/possibilities, youth, by Daniel Christian

The Rise of Learning Societies — from educationnext.org by Alan Gottlieb
A small experiment in rural Idaho holds big promise for student success

Excerpt (emphasis DSC):

The basic idea is this: Some parents who, for a variety of reasons, hesitate to send their children to a traditional brick-and-mortar school have neither the time, inclination, or temperament to homeschool or to monitor a full-time online program. Learning Societies provide an intimate environment where kids, supervised by professional educators, learn online and in small, in-person groups for six hours a day. Gem Prep leaders describe it as a sweet spot between traditional schooling and at-home online learning. It is particularly well suited to rural areas.

Learning Societies have the potential to achieve a happy medium that combines the strengths of both homeschooling (or online learning from home) and a traditional brick-and-mortar school.

Using Drawing as a Powerful Learning Tool [Tlili]

On 12/20/2023, in art, education, experimentation, graphics, ideas, instructional design, K-12 related, learning, Learning Experience Design, memory, multimedia, science, student-related, teachers, by Daniel Christian

Using Drawing as a Powerful Learning Tool — from edutopia.org by Selim Tlili
When students draw something they’re learning about, they’re more likely to remember key details.

One of my main goals as a science teacher is to open students up to seeing all of those beautiful and interesting details. I do that by having students draw things and clearly write what they observe. Drawing something requires students to look at their subject far longer than they are accustomed. Writing what they see forces them to consciously acknowledge it. I explain to students that just as every single human is unique, so is every coin, plant, and salt crystal.

Notebook LM (experiment): Collaborate with a virtual research assistant

On 12/13/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, cloud-based computing / apps / other cloud-related, CMS/LMS, colleges, community colleges, corporate universities / corporate training, creativity, Daniel S. Christian, digital learning, education technology, emerging technologies, experimentation, future, Google, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, online learning, online media, platforms, productivity / tips and tricks, professional development, research, student-related, teachers, teaching & learning, teaching online, tools, training / L&D, United States, universities, vendors, vision/possibilities, by Daniel Christian

Google NotebookLM (experiment)

From DSC:
Google hopes that this personalized AI/app will help people with their note-taking, thinking, brainstorming, learning, and creating.

It reminds me of what Derek Bruff was just saying in regards to Top Hat’s Ace product being able to work with a much narrower set of information — i.e., a course — and to be almost like a personal learning assistant for the course you are taking. (As Derek mentions, this depends upon how extensively one uses the CMS/LMS in the first place.)

Big Ideas in Tech for 2024 | Andreessen Horowitz

On 12/13/2023, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, change, corporate / business world, emerging technologies, entrepreneurship, experimentation, future, health, ideas, innovation, intelligent systems, technologies for your home, technology (general), United States, voice recognition / voice enabled interfaces, by Daniel Christian

Big Ideas in Tech for 2024 | Andreessen Horowitzhttps://t.co/mn2e8URxED

— Daniel Christian (he/him/his) (@dchristian5) December 13, 2023

Big Ideas in Tech for 2024 | Andreessen Horowitz — from a16z.com by various

Smart energy grids. Voice-first companion apps.

Programmable medicines. AI tools for kids. We asked

over 40 partners across a16z to preview one big idea

they believe will drive innovation in 2024.

Narrowly Tailored, Purpose-Built AI
In 2024, I predict we’ll see narrower AI solutions. While ChatGPT may be a great general AI assistant, it’s unlikely to “win” for every task. I expect we’ll see an AI platform purpose-built for researchers, a writing generation tool targeted for journalists, and a rendering platform specifically for designers, to give just a few examples.

Over the longer term, I think the products people use on an everyday basis will be tailored to their use cases — whether this is a proprietary underlying model or a special workflow built around it. These companies will have the chance to “own” the data and workflow for a new era of technology; they’ll do this by nailing one category, then expanding. For the initial product, the narrower the better.

— via Olivia Moore, who focuses on marketplace startups

The sources of my hope for Americans having far greater access to justice in the future [Christian]

On 12/12/2023, in 21st century, 24x7x365 access, Access to Justice (A2J), Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, change, changing business models, communities of practice, computer science, corporate / business world, culture, Daniel S. Christian, experimentation, faith, future, game-changing environment, generational differences, ideas, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, platforms, productivity / tips and tricks, reinvent, society, technology (general), tools, United States, vendors, Virtual courts and law firms, vision/possibilities, by Daniel Christian

From DSC:
As you can see from the above items, Mr. David Goodrich, a great human being and a fellow Instructional Designer, had a great comment and question regarding the source of my hope that AI — and other forms of legaltech — could significantly provide more access to justice here in America. Our civil justice system has some serious problems — involving such areas as housing, employment, healthcare, education, families, and more.

I’d like to respond to that question here.

First of all, I completely get what David is saying. I, too, have serious doubts that our horrible access to justice (#A2J) situation will get better. Why? Because:

Many people working within the legal field like it this way, as they are all but assured victory in most of the civil lawsuits out there.
The Bar Associations of most of the states do not support changes that would threaten their incomes/livelihoods. This is especially true in California and Florida.
The legal field in general is not composed, for the most part, of highly innovative people who make things happen for the benefit of others. For example, the American Bar Association is 20+ years behind in terms of providing the level of online-based learning opportunities that they should be offering. They very tightly control how legal education is delivered in the U.S.

Here are several areas that provide me with hope for our future

There are innovative individuals out there fighting for change.
And though some of these individuals don’t reside in the United States, their work still impacts many here in America. For examples, see:

Cat Moon
Natalie Anne Knowlton
Justice Bridget McCormack
Dan Linna Jr.
James Sandman
Colin Levy
Richard Susskind
Jordan Furlong
Bob Ambrogi
Josh Kubicki
Richard Tromans at Artificial Lawyer
Dennis Kennedy and Tom Mighell
…and many others

There are innovative new companies, firms, and other types of organizations out there fighting for change. For examples:

IAALS, the Institute for the Advancement of the American Legal System at the University of Denver
Legal Aid of North Carolina
Innovation for Justice (i4J): i4J designs, builds, and tests disruptive solutions to the justice gap
University of Pennsylvania’s Future of the Profession Initiative at the Penn Carey Law School
A2J Tech
The AAAi Lab: A web center supporting American Arbitration Association® (AAA) users, arbitrators, in-house counsel and law firms with policy guidance, educational webinars and tools for embracing generative AI in alternative dispute resolution.
Ironcrow AI’s LLM Sandbox: Setting an Industry Standard (patent law)
Wolters Kluwer (who recently announced a Generative AI Summarization Feature for Court Rulings)
Law School AI
Rasa
Legal Hackers
Frontline Justice
Legal Services Corp.
…and many others

There are innovative new tools and technologies out there such as:

Artificial Intelligence (AI) and Machine Learning (ML)
- AI and machine learning remain pivotal in legaltech, especially for in-house lawyers who deal with vast quantities of contracts and complex legal matters. In 2024, these technologies will be integral for legal research, contract review, and the drafting of legal documents. Statistics from the Tech & the Law 2023 Report state more than three in five corporate legal departments (61%) have adopted generative AI in some capacity, with 7% actively using generative AI in their day-to-day work. With constant improvements to LLM (Large Language Models) by the big players, i.e. OpenAI, Google, and Microsoft (via OpenAI), 2024 will see more opportunities open and efficiencies gained for legal teams. (Source)
- From drafting contracts to answering legal questions and summarising legal issues, AI is revolutionising the legal profession and although viewed with a sceptical eye by some law firms, is generally perceived to be capable of bringing huge benefits. (Source)
- Legal bots like Harvey will assist lawyers with discovery.
Technology-assisted review (TAR) in e-discovery
Due to COVID 19, there were virtual courtrooms set up and just like with virtual/online-based learning within higher education, many judges, litigants, lawyers, and staff appreciated the time savings and productivity gains. Along these lines, see Richard Susskind’s work. [Richard] predicts a world of online courts, AI-based global legal businesses, disruptive legal technologies, liberalized markets, commoditization, alternative sourcing, simulated practice on the metaverse, and many new legal jobs. (Source)

There are innovative states out there fighting for change. For examples:

Utah in 2020 launched a pilot program that suspended ethics rules to allow for non-lawyer ownership of legal services providers and let non-lawyers apply for a waiver to offer certain legal services. (Source)
Arizona in 2021 changed its regulatory rules to allow for non-lawyer ownership. (Source)
Alaska with their Alaska Legal Services Corporation
…and others

And the last one — but certainly not the least one — is where my faith comes into play. I believe that the Triune God exists — The Father, The Son, and The Holy Spirit — and that the LORD is very active in our lives and throughout the globe. And one of the things the LORD values highly is JUSTICE. For examples:

“This is what the Lord Almighty said: ‘Administer true justice; show mercy and compassion to one another.Do not oppress the widow or the fatherless, the foreigner or the poor. Do not plot evil against each other.’ Zechariah 7:9-10
Many seek an audience with a ruler, but it is from the Lord that one gets justice. Proverbs 29:26 NIV
These are the things you are to do: Speak the truth to each other, and render true and sound judgment in your courts; Zechariah 8:16 NIV
…and many others as can be seen below

The LORD values JUSTICE greatly!

So I believe that the LORD will actively help us provide greater access to justice in America.

Well…there you have it David. Thanks for your question/comment! I appreciate it!

“Predictions 2024” from The Online & Professional Education Association (UPCEA)

On 12/07/2023, in adjunct faculty, Alternatives, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business side of he, career development, change, changing business models, colleges, community colleges, cost of getting a degree, credentialing, dangers of the status quo, digital learning, disruption, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, higher education, innovation, intelligent systems, leadership, learning ecosystem, liberal arts, lifelong learning, new business models, online learning, strategy, teaching & learning, teaching online, by Daniel Christian

More Chief Online Learning Officers Step Up to Senior Leadership Roles
In 2024, I think we will see more Chief Online Learning Officers (COLOs) take on more significant roles and projects at institutions.

In recent years, we have seen many COLOs accept provost positions. The typical provost career path that runs up through the faculty ranks does not adequately prepare leaders for the digital transformation occurring in postsecondary education.

As we’ve seen with the professionalization of the COLO role, in general, these same leaders proved to be incredibly valuable during the pandemic due to their unique skills: part academic, part entrepreneur, part technologist, COLOs are unique in higher education. They sit at the epicenter of teaching, learning, technology, and sustainability. As institutions are evolving, look for more online and professional continuing leaders to take on more senior roles on campuses.

Julie Uranis, Senior Vice President, Online and Strategic Initiatives, UPCEA

Gifting articles and/or learning modules should be quick and easy — with benefits for several of the parties involved! [Christian]

On 12/07/2023, in 24x7x365 access, adult learning, business side of he, changing business models, cloud-based computing / apps / other cloud-related, colleges, communities of practice, community colleges, content development, aggregation, repositories, Daniel S. Christian, experimentation, faculty, funding / grants, future of higher education, higher education, ideas, Learning from the Living [Class] Room, lifelong learning, marketing/social marketing, marketplaces, microlearning, new business models, online learning, online media, platforms, United States, universities, vendors, vision/possibilities, by Daniel Christian

From DSC:
Wouldn’t it be nice to be able to gift someone an article or access to a particular learning module? This would be the case whether you are a subscriber to that vendor/service or not. I thought about this after seeing the following email from MLive.com.
.

MLive.com's gift an article promotion from December 2023; one must be a subscriber though to gift an article

.

Not only is this a brilliant marketing move — as recipients can get an idea of the services/value offered — but it can provide concrete information to someone.

Perhaps colleges and universities should take this idea and run with it. They could gift courses and/or individual lectures! Doing so could open up some new revenue streams, aid adult learners in their lifelong learning pathways, and help people build new skills — all while helping market the colleges and universities. Involved faculty/staff members could get a percentage of the sales. Sounds like a WIN-WIN to me.

34 Big Ideas that will change our world in 2024 — from linkedin.com

Excerpts:

6. ChatGPT’s hype will fade, as a new generation of tailor-made bots rises up
11. We’ll finally turn the corner on teacher pay in 2024
21. Employers will combat job applicants’ use of AI with…more AI
31. Universities will view the creator economy as a viable career path

When Educators and Employers Work Together, Students Succeed [Fuller & Raman]

On 12/06/2023, in career development, collaboration, colleges, community colleges, corporate / business world, corporate universities / corporate training, Daniel S. Christian, experimentation, faculty, higher education, ideas, instructional design, skills, student-related, United States, universities, workplace, by Daniel Christian

When Educators and Employers Work Together, Students Succeed — from hbsp.harvard.edu by Joseph Fuller and Manjari Raman

(Emphasis below from DSC)

Last year, in “The Partnership Imperative,” we put forth a set of more than 40 best practices that employers and educators can use to develop a close collaboration. As part of that effort, we identified three main goals and laid out strategies for achieving each.

Partner with each other to offer training and education that is aligned with industry needs. (DSC: Similar to how Instructional Designers want alignment with learning objectives, learning activities, and assessments of learning.)
Establish relationships with each other that result in the recruitment and hiring of students and graduates.
Make supply-and-demand decisions that are informed by the latest data and trends.

From DSC:
Under #1, their strategies include:

Cocreate and regularly update college curriculums so that they reflect relevant technical and foundational skills based on industry needs. Codesign programs that fit with students’ lives and industry hiring cycles. Incorporate classroom experiences that simulate real-world settings and scenarios.

I see AI being able to identify what those changing, currently sought-after, and foundational skills are based on industry needs (which shouldn’t be hard, and vendors like Microsoft are already doing this by combing through the posted job descriptions on their platforms). These findings/results will help build regularly updated learning playlists and should provide guidance to learning-related organizations/groups/individuals/teams on what content to develop and offer (i.e., courses/learning modules/micro-learning-based streams of content, other).

Expanding Bard’s understanding of YouTube videos — via AI Valley

What: We’re taking the first steps in Bard’s ability to understand YouTube videos. For example, if you’re looking for videos on how to make olive oil cake, you can now also ask how many eggs the recipe in the first video requires.
Why: We’ve heard you want deeper engagement with YouTube videos. So we’re expanding the YouTube Extension to understand some video content so you can have a richer conversation with Bard about it.

Reshaping the tree: rebuilding organizations for AI — from oneusefulthing.org by Ethan Mollick
Technological change brings organizational change.

I am not sure who said it first, but there are only two ways to react to exponential change: too early or too late. Today’s AIs are flawed and limited in many ways. While that restricts what AI can do, the capabilities of AI are increasing exponentially, both in terms of the models themselves and the tools these models can use. It might seem too early to consider changing an organization to accommodate AI, but I think that there is a strong possibility that it will quickly become too late.

From DSC:
Readers of this blog have seen the following graphic for several years now, but there is no question that we are in a time of exponential change. One would have had an increasingly hard time arguing the opposite of this perspective during that time.

Nvidia’s revenue triples as AI chip boom continues — from cnbc.com by Jordan Novet; via GSV

KEY POINTS

Nvidia’s results surpassed analysts’ projections for revenue and income in the fiscal fourth quarter.
Demand for Nvidia’s graphics processing units has been exceeding supply, thanks to the rise of generative artificial intelligence.
Nvidia announced the GH200 GPU during the quarter.

Here’s how the company did, compared to the consensus among analysts surveyed by LSEG, formerly known as Refinitiv:

Earnings: $4.02 per share, adjusted, vs. $3.37 per share expected
Revenue: $18.12 billion, vs. $16.18 billion expected

Nvidia’s revenue grew 206% year over year during the quarter ending Oct. 29, according to a statement. Net income, at $9.24 billion, or $3.71 per share, was up from $680 million, or 27 cents per share, in the same quarter a year ago.

DC: Anyone surprised? This is why the U.S. doesn’t want high-powered chips going to China. History repeats itself…again. The ways of the world/power continue on.

Pentagon’s AI initiatives accelerate hard decisions on lethal autonomous weapons https://t.co/PTDmJugiE2

— Daniel Christian (he/him/his) (@dchristian5) November 27, 2023

Learning Ecosystems

Our AI predictions for 2024 [Kahn]; Morgan Stanley predicts that AI will affect 40% of the workforce in the next 3 years.

“The biggest things that happened in AI this year” [Kahn] + other items re: AI in general

Big Ideas in Tech for 2024 | Andreessen Horowitz

The sources of my hope for Americans having far greater access to justice in the future [Christian]

“Predictions 2024” from The Online & Professional Education Association (UPCEA)

Gifting articles and/or learning modules should be quick and easy — with benefits for several of the parties involved! [Christian]

34 Big Ideas that will change our world in 2024 [LinkedIn]

“History repeats itself…again. The ways of the world/power continue on.” [Christian] + other items re: AI

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