Last updated on 4/10/25

A powerful, global, Artificial Intelligence (AI)-based, next-generation, lifelong learning platform -- meant to help people reinvent themselves quickly, safely, cost-effectively, conveniently, and consistently. And speaking of people, this new platform will require -- and will rely upon -- human beings to create it as well as to drive its effectiveness.

In the future, the lifelong ownership of the learning-related records and credentials will belong to the individual learners themselves. They will be the ones who control who else can access these records.

The learners profiles will be stocked by traditional institutions of higher education, corporate training/L&D groups, vendors like LinkedIn Learning, as well as by MOOCs, bootcamps, industry experts, apprenticeships/internships, and others.

Some recent items/quotes/ideas to consider:

Are You Ready for the AI University? Everything is about to change. — from chronicle.com by Scott Latham 

Over the course of the next 10 years, AI-powered institutions will rise in the rankings. US News & World Report will factor a college’s AI capabilities into its calculations. Accrediting agencies will assess the degree of AI integration into pedagogy, research, and student life. Corporations will want to partner with universities that have demonstrated AI prowess. In short, we will see the emergence of the AI haves and have-nots.
…
What’s happening in higher education today has a name: creative destruction. The economist Joseph Schumpeter coined the term in 1942 to describe how innovation can transform industries. That typically happens when an industry has both a dysfunctional cost structure and a declining value proposition. Both are true of higher education.
…
Out of the gate, professors will work with technologists to get AI up to speed on specific disciplines and pedagogy. For example, AI could be “fed” course material on Greek history or finance and then, guided by human professors as they sort through the material, help AI understand the structure of the discipline, and then develop lectures, videos, supporting documentation, and assessments. 

Early and mid-career professors who hope to survive will need to adapt and learn how to work with AI. They will need to immerse themselves in research on AI and pedagogy and understand its effect on the classroom. 

From DSC:
I had a very difficult time deciding which excerpts to include. There were so many more excerpts for us to think about with this solid article. While I don’t agree with several things in it, EVERY professor, president, dean, and administrator working within higher education today needs to read this article and seriously consider what Scott Latham is saying.

Change is already here, but according to Scott, we haven’t seen anything yet. I agree with him and, as a futurist, one has to consider the potential pathways that Scott lays out for AI’s creative destruction of what higher education may look like. Scott asserts that some significant and upcoming impacts will be experienced by faculty members, doctoral students, and graduate/teaching assistants (and Teaching & Learning Centers and IT Departments, I would add). But he doesn’t stop there. He brings in presidents, deans, and other members of the leadership teams out there.

There are a few places where Scott and I differ:

• The foremost one is the importance of the human element — i.e., the human faculty member and students’ learning preferences. I think many (most?) students and lifelong learners will want to learn from a human being. IBM abandoned their 5-year, $100M ed push last year and one of the key conclusions was that people want to learn from — and with — other people:

To be sure, AI can do sophisticated things such as generating quizzes from a class reading and editing student writing. But the idea that a machine or a chatbot can actually teach as a human can, he said, represents “a profound misunderstanding of what AI is actually capable of.” 

Nitta, who still holds deep respect for the Watson lab, admits, “We missed something important. At the heart of education, at the heart of any learning, is engagement. And that’s kind of the Holy Grail.”

— Satya Nitta, a longtime computer researcher
at IBM’s Watson Research Center in Yorktown Heights, NY 

By the way, it isn’t easy for me to write this. As I wanted AI and other related technologies to be able to do just what IBM was hoping that it would be able to do.

• Also, I would use the term learning preferences where Scott uses the term learning styles. 

Scott also mentions: 

"In addition, faculty members will need to become technologists as much as scholars. They will need to train AI in how to help them build lectures, assessments, and fine-tune their classroom materials. Further training will be needed when AI first delivers a course.” 

It has been my experience from working with faculty members for over 20 years that not all faculty members want to become technologists. They may not have the time, interest, and/or aptitude to become one (we all have our strengths and weaknesses after all). 

That all said, Scott relays many things that I have reflected upon and relayed for years now via my Learning Ecosystems blogand also via this Learning from the Living [AI-Based Class] Room vision — the use of AI to offer personalized learning and to bring down the costs of obtaining credentials, the rising costs of higher education, the need to provide new business models and emerging technologies that are devoted more to lifelong learning, plus several other things.

So this article is definitely worth your time to read — especially if you are working within higher education or are considering a career therein!

SchoolAI Secures $25 Million to Help Teachers and Schools Reach Every Student -- from globenewswire.com
 The Classroom Experience platform gives every teacher and student their own AI tools for personalized learning

SchoolAI’s Classroom Experience platform combines AI assistants for teachers that help with classroom preparation and other administrative work, and Spaces–personalized AI tutors, games, and lessons that can adapt to each student’s unique learning style and interests. Together, these tools give teachers actionable insights into how students are doing, and how the teacher can deliver targeted support when it matters most. 

“Teachers and schools are navigating hard challenges with shrinking budgets, teacher shortages, growing class sizes, and ongoing recovery from pandemic-related learning gaps,” said Caleb Hicks, founder and CEO of SchoolAI. “It’s harder than ever to understand how every student is really doing. Teachers deserve powerful tools to help extend their impact, not add to their workload. This funding helps us double down on connecting the dots for teachers and students, and later this year, bringing school administrators and parents at home onto the platform as well.”

From the newly-introduced OpenAI Academy:

• Students and folks looking for work may want to check out:
  AI Career Prep: Resumes and Interviews 

A multi-year history of how we got here
(i.e., relevant postings/pieces of the puzzle) >>

What does the vision entail?

• A new, global, collaborative learning platform that offers more choice, more control to learners of all ages – 24x7 – and could become the organization that futurist Thomas Frey discusses here with Business Insider:

"I've been predicting that by 2030 the largest company on the internet is going to be an education-based company that we haven't heard of yet," Frey, the senior futurist at the DaVinci Institute think tank, tells Business Insider.

• A learner-centered platform that is enabled by – and reliant upon – human beings but is backed up by a powerful suite of technologies that work together in order to help people reinvent themselves quickly, conveniently, and extremely cost-effectively
• A customizable learning environment that will offer up-to-date streams of regularly curated content (i.e., microlearning) as well as engaging learning experiences
• Along these lines, a lifelong learner can opt to receive an RSS feed on a particular topic until they master that concept; periodic quizzes (i.e., spaced repetition) determine that mastery. Once mastered, the system will ask the learner as to whether they still want to receive that particular stream of content or not.
• A Netflix-like interface to peruse and select plugins to extend the functionality of the core product
• An AI-backed system of analyzing employment trends and opportunities will highlight those courses and “streams of content” that will help someone obtain the most in-demand skills
• A system that tracks learning and, via Blockchain-based technologies, feeds all completed learning modules/courses into learners’ web-based learner profiles
• A learning platform that provides customized, personalized recommendation lists – based upon the learner’s goals
• A platform that delivers customized, personalized learning within a self-directed course
(meant for those content creators who want to deliver more sophisticated courses/modules while moving people through the relevant Zones of Proximal Development)
• Notifications and/or inspirational quotes will be available upon request to help provide motivation, encouragement, and accountability – helping learners establish habits of continual, lifelong-based learning
• An online-based marketplace, matching learners with resources

Ideally, the learner is using two displays simultaneously:

• A Subject Matter Expert (SME) giving a talk or making a presentation on any given topic
• A need to display multiple things going on at once, such as:
• The SME(s)
• An application or multiple applications that the SME(s) are using
• Content/resources that learners are submitting in real-time (think Bluescape, T1V, Prysm, other)
• The ability to annotate on top of the application(s) and point to things w/in the app(s)
• Media being used to support the presentation such as pictures, graphics, graphs, videos, simulations, animations, audio, links to other resources, GPS coordinates for an app such as Google Earth, other
• Other attendees (think Google Hangouts, Skype, Polycom, or other videoconferencing tools)
• An (optional) representation of the Personal Assistant (such as today’s Alexa, Siri, Google Assistant, etc.) that’s being employed via the use of Artificial Intelligence (AI)

• Voice-based commands to drive the system (via Natural Language Processing (NLP))
• Language translation (using techs similar to what’s being used in Translate One2One, an earpiece powered by IBM Watson)
• Speech-to-text capabilities to provide real-time closed captioning and transcriptions -- as well as for use w/ chatbots, messaging, inserting discussion board postings
• Text-to-speech capabilities as an assistive technology and also for everyone to be able to be mobile while listening to what’s been typed
• Chatbots
• For learning how to use the system
• For asking questions of – and addressing any issues with – the organization owning the system (credentials, payments, obtaining technical support, etc.)
• For asking questions within a course to obtain information -- such as asking questions of a historical figure
• As many profiles as needed per household
• Similar to asking questions of a chatbot, we will be able to use holographic storytelling where learners can ask questions of a hologram (examples here and here)
• The ability to use the learner's webcam to take pictures of equations in order to get instant feedback and/or links to other resources
• Polling
• (Optional) Machine-to-machine-based communications to automatically launch the correct profile when the system is initiated (from one’s smartphone, laptop, workstation, and/or tablet to a receiver for the system)
• (Optional) Voice recognition to efficiently launch the desired profile
• (Optional) Facial recognition to efficiently launch the desired profile
• (Optional) Upon system launch, to immediately return to where the learner previously left off
• The capability of the webcam to recognize objects and bring up relevant resources for that object
• A built in RSS feed aggregator – or a similar technology – to enable learners to tap into the relevant “streams of content” that are constantly flowing by them
• Social media dashboards/portals – providing quick access to multiple sources of content and whereby learners can contribute their own “streams of content”
• A twist on the flipped classroom approach, whereby students can check out videos of equations, problems, etc. and put in their "markers" with accompanying comments throughout the videos, alerting the SMEs where they have questions, comments, and/or issues

In the future, new forms of Human Computer Interaction (HCI) such as Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) will be integrated into this new learning environment – providing entirely new means of collaborating with one another.

Consider the items below:

In the future, we won't just be able to find movies or shows, but rather, we will also be able to quickly locate up-to-date, relevant learning-related content and participate in highly-practical, learning-related experiences.

And check out what they are doing now with radio stations! So...what can be done with learning-related streams of content?!

Consider the type of service/value being offered in the graphic below...and that such a service will be constantly available on a next-gen learning platform. That is, the system will:

• Scan open job descriptions
  
• Present a constantly-updated list of the top/"hottest" skills and occupations
• Offer the relevant courses, modules, webinars, local learning hubs, discussion forums, etc. that will teach you the necessary skills to land those jobs (similar to what is shown in the above grapic involving justwatch.com or suppose.tv and what those vendors are providing for the entertainment industry).

© 2025 | Daniel Christian

However, this vision/idea goes back much further than the date listed on the
graphic below -- and the pieces continue to come together!