The Future of Teaching is Here — from samchaltain.substack.com by Sam Chaltain

Excerpts (emphasis DSC):

It’s not sexy, but I feel like Sal Khan’s recent video introducing his Academy’s GPT-fueled AI tutor augurs the future of the teaching profession — and not just at Khan Academy.

The tutor is already fully capable of offering personalized feedback, hints and suggestions for just about any topic for which there are already clearly established answers — from solving math equations with parentheses to digesting John Locke’s political philosophy.

But now we’ve entered a new chapter — dare I say, a Technological Singularity (20 years early) — one in which Chat-GPT in particular, and the daily flood of AI tools more generally, has changed the nature of the teacher/student relationship even more irrevocably than before.

As a result, from this day forward, the job of a teacher REALLY needs to stop being about transmission.

So what should it start being instead?

In which case, the future of teaching is not about transmission, but it is about the other trans- words: transmedia exploration, transdisciplinary weaving, transcultural understanding, and, yes, personal and societal transformation.

 

Fastcase, vLex merger accelerates investment into legal AI — from reuters.com by Sara Merken

Excerpts (emphasis DSC):

(Reuters) – As artificial intelligence pushes deeper into the legal industry, Fastcase and vLex are merging in a deal the legal research companies said [on 4/4/23] will speed up the creation of AI tools for lawyers.

The merger creates a law library that is “the biggest legal data corpus ever assembled,” the companies said. The new company will have more than one billion legal documents from more than 100 countries, including judicial opinions, statutes, regulations, briefs, pleadings and legal news articles, they said.


Also see:

In Major Legal Tech Deal, vLex and Fastcase Merge, Creating A Global Legal Research Company, Backed By Oakley Capital and Bain Capital — from lawnext.com by Bob Ambrogi

Excerpt:

In a deal that will reshape the legal research and legal technology landscape on a global basis and threaten the longstanding “Wexis” legal research duopoly, the companies vLex and Fastcase today announced that they have merged into a single entity that they say will have the world’s largest subscriber base of lawyers and law firms and a legal research library of more than 1 billion documents from more than 100 countries.


Speaking about the legal realm and innovations, also see:

On LawNext: 15 Years, 15 Lessons: Clio Founder Jack Newton On What He’s Learned About Building a Successful Company — from lawnext.com by Bob Ambrogi and Jack Newton

Excerpt:

As Clio marks its 15th anniversary in 2023, Newton sat down with me to share 15 lessons he has learned along the way regarding what makes a successful company and a successful leader. He also reminisces about the early days of starting Clio and his early successes and challenges. Notably, he and Gauvreau founded Clio in the middle of the Great Recession, and one of the lessons he shares in this episode is his belief that a recession is a great time to build a company.

For anyone who has founded or is thinking of founding a legal tech startup, this episode is a must-listen. Even for those who are not tech founders, but law firm founders, many of Newton’s lessons apply.

 
 

ANALYSIS: ‘Microcredentials’ poised to disrupt higher ed as degrees lose relevance to employers — from campusreform.org by Shelby Kearns; with thanks to Ray Schroeder on LinkedIn for this resource

Key points:

  • Survey respondents are demonstrating confidence in microcredentials–online training programs that take no more than six months to complete–as four-year degree programs often overlook job training.
  • ‘Grade inflation and efforts to help everyone … attend college make it harder for employers to differentiate among applicants.’
 


Also relevant/see:


Learning Designers will have to adapt or die. 10 ways to UPSKILL to AI…. — from donaldclarkplanb.blogspot.com by Donald Clark

Learning Designers need to upskill


From Ethan Mollick on LinkedIn:

Take a look at this simulated negotiation, with grading and feedback. Prompt: “I want to do deliberate practice about how to conduct negotiations. You will be my negotiation teacher. You will simulate a detailed scenario in which I have to engage in a negotiation. You will fill the role of one party, I will fill the role of the other. You will ask for my response to in each step of the scenario and wait until you receive it. After getting my response, you will give me details of what the other party does and says. You will grade my response and give me detailed feedback about what to do better using the science of negotiation. You will give me a harder scenario if I do well, and an easier one if I fail.”

Samples from Bing Creative mode and ChatGPT-4 (3.5, the free version, does not work as well)


I’m having a blast with ChatGPT – it’s testing ME! — from by Mark Mrohs
Using ChatGPT as an agent for asynchronous active learning

I have been experimenting with possible ways to incorporate interactions with ChatGPT into instruction. And I’m blown away. I want to show you some of what I’ve come up with.

 

VR & robotics could be the future of medical training — from vrscout.com by Kyle Melnick
FundamentalVR is partnering with Haply Robotics to provide more realistic VR surgical simulations.

VR & Robotics Could Be The Future Of Medical Training

Also relevant/see:

 

How to use AI to do practical stuff: A new guide — from oneusefulthing.substack.com by Ethan Mollick
People often ask me how to use AI. Here’s an overview with lots of links.

Excerpts:

We live in an era of practical AI, but many people haven’t yet experienced it, or, if they have, they might have wondered what the big deal is. Thus, this guide. It is a modified version of one I put out for my students earlier in the year, but a lot has changed. It is an overview of ways to get AI to do practical things.

I want to try to show you some of why AI is powerful, in ways both exciting and anxiety-producing.

The Six Large Language Models


Also see Ethan’s posting:

Power and Weirdness: How to Use Bing AI
Bing AI is a huge leap over ChatGPT, but you have to learn its quirks


 

Teaching: What You Can Learn From Students About ChatGPT — from chronicle.com by Beth McMurtrie

Excerpts (emphasis DSC):

Like a lot of you, I have been wondering how students are reacting to the rapid launch of generative AI tools. And I wanted to point you to creative ways in which professors and teaching experts have helped involve them in research and policymaking.

At Kalamazoo College, Autumn Hostetter, a psychology professor, and six of her students surveyed faculty members and students to determine whether they could detect an AI-written essay, and what they thought of the ethics of using various AI tools in writing. You can read their research paper here.

Next, participants were asked about a range of scenarios, such as using Grammarly, using AI to make an outline for a paper, using AI to write a section of a paper, looking up a concept on Google and copying it directly into a paper, and using AI to write an entire paper. As expected, commonly used tools like Grammarly were considered the most ethical, while writing a paper entirely with AI was considered the least. But researchers found variation in how people approached the in-between scenarios. Perhaps most interesting: Students and faculty members shared very similar views with each scenario.

 


Also relevant/see:

This Was Written By a Human: A Real Educator’s Thoughts on Teaching in the Age of ChatGPT — from er.educause.edu educause.org by Jered Borup
The well-founded concerns surrounding ChatGPT shouldn’t distract us from considering how it might be useful.


 

The above Tweet links to:

Pause Giant AI Experiments: An Open Letter — from futureoflife.org
We call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4.



However, the letter has since received heavy backlash, as there seems to be no verification in signing it. Yann LeCun from Meta denied signing the letter and completely disagreed with the premise. (source)


In Sudden Alarm, Tech Doyens Call for a Pause on ChatGPT — from wired.com by Will Knight (behind paywall)
Tech luminaries, renowned scientists, and Elon Musk warn of an “out-of-control race” to develop and deploy ever-more-powerful AI systems.


 


Also relevant/see:

We have moved from Human Teachers and Human Learners, as a diad to AI Teachers and AI Learners as a tetrad.


 

From DSC:
While I continue to try and review/pulse-check the K12 learning ecosystem, it struck me that we need new, DIRECT communication channels between educators, support staff, administrators, and legislators — and possibly others.

That is:

  • How can teachers, support staff, and administrators talk directly to legislators?
  • How can legislators communicate with teachers, support staff, and administrators?
  • Should we require relevant legislators (i.e., those individuals sponsoring bills or major changes to our k12 learning ecosystem) to go through training on how students learn?
  • What communication vehicles are present? Can they be anonymous?
  • Should there be an idea 1-800 hotline or an idea “mailbox” (digital and/or analog based)?

And what about the students themselves and/or their parents/guardians? Should they be involved as well?

 

A Spotify model of personalised higher education — from timeshighereducation.com by Michael Rosemann and Martin Betts
With technology offering greater potential for a personalised approach to higher education, Michael Rosemann and Martin Betts look at what universities can learn from the ubiquitous music platform Spotify

Excerpts (emphasis DSC):

Selection, or the P(upil)-route as educationalist Dan Buckley calls it, means personalisation driven by the learner. This is the fastest-moving form of personalised learning. Not only do students benefit from true omnichannel education – choosing between face to face and online – they also independently navigate the internet’s resources and online databases in search of the knowledge that will help them to achieve their learning targets.

Automation,  or the A-route, is the new enabler of personalised learning. As with personalised medicine, finance or entertainment, education is starting to use digital technologies to unlock new models of tailored engagement. While for most universities, AI-driven, personalised education is not an option as the required capabilities are missing and significant investments would be necessary, there is a range of alternative forms of automated personalised learning. For this, we look to providers outside the sector for inspiration.

Here are Spotify-inspired ideas that universities ambitious enough to provide personalised learning could explore.

From DSC:
Rosemann & Betts use the term “omnichannel education” — I like that term. Very nice.

 

Explore Breakthroughs in AI, Accelerated Computing, and Beyond at NVIDIA's GTC -- keynote was held on March 21 2023

Explore Breakthroughs in AI, Accelerated Computing, and Beyond at GTC — from nvidia.com
The Conference for the Era of AI and the Metaverse

 


Addendums on 3/22/23:

Generative AI for Enterprises — from nvidia.com
Custom-built for a new era of innovation and automation.

Excerpt:

Impacting virtually every industry, generative AI unlocks a new frontier of opportunities—for knowledge and creative workers—to solve today’s most important challenges. NVIDIA is powering generative AI through an impressive suite of cloud services, pre-trained foundation models, as well as cutting-edge frameworks, optimized inference engines, and APIs to bring intelligence to your enterprise applications.

NVIDIA AI Foundations is a set of cloud services that advance enterprise-level generative AI and enable customization across use cases in areas such as text (NVIDIA NeMo™), visual content (NVIDIA Picasso), and biology (NVIDIA BioNeMo™). Unleash the full potential with NeMo, Picasso, and BioNeMo cloud services, powered by NVIDIA DGX™ Cloud—the AI supercomputer.

 

On the K-12 side of things:

6 Ways to Use ChatGPT to Save Time — from edutopia.org by Todd Finley
Teachers can use the artificial intelligence tool to effectively automate some routine tasks.

Excerpt:

In the paragraphs that follow, I’ve divided these tasks into the following categories: planning instruction, handouts and materials, differentiation, correspondence, assessment, and writing instruction and feedback. Welcome to the revolution.

Lesson plans: Ask ChatGPT to write a lesson plan on, say, Westward Expansion. The tool composes assessments, activities, scaffolding, and objectives. Want that in the form of problem-based learning or revised for a flipped classroom? ChatGPT can adjust the lesson plan according to your instructions. 

I’m a high school math and science teacher who uses ChatGPT, and it’s made my job much easier — from businessinsider-com.cdn.ampproject.org by Aaron Mok; with thanks to Robert Gibson on LinkedIn for this resource

Shannon Ahern teaching her class with the help of a ChatGPT-generated slide. Photo courtesy of Shannon Ahern

Excerpt:

  • Shannon Ahern, a high school math and science teacher, was afraid that ChatGPT would take her job.
  • But her mind changed after she started using the AI for class prep, which saved her hours of time.
  • Here’s how Ahern is using ChatGPT to make her job easier, as told to Insider’s Aaron Mok.

On the higher education side of things:

Using AI to make teaching easier & more impactful — from oneusefulthing.substack.com by Ethan Mollick
Here are five strategies and prompts that work for GPT-3.5 & GPT-4

Excerpt:

But one thing that is not changing is the best way for people to learn. We have made large advances in recent years in understanding pedagogy – the science of learning. We know some of the most effective techniques for making sure material sticks and that it can be retrieved and used when needed most.

Unfortunately, many of these advanced pedagogical techniques are time-consuming to prepare, and many instructors are often overworked and do not have the resources and time to add them to their teaching repertoire. But AI can help. In the rush to deliver AI benefits directly to students, the role of teachers is often overlooked.

Teaching: What You Need to Know About ChatGPT — from chronicle.com by Beth McMurtrie

Excerpt:

Digital literacy is more important than ever. Artificial-intelligence tools, and generative AI in particular, raise a host of ethical, political, economic, and social questions. Plus, this tech is soon going to be everywhere, including students’ future professions. (The technology behind ChatGPT, in fact, just got an upgrade this week.) Colleges need to figure out how to graduate digitally savvy students in all disciplines.

“The integration of technology into our lives is so pervasive that the restriction of education about AI to the computer scientists and the computer engineers makes no more sense than the restriction of taking English classes by English majors,” said Weber.

 

ChatGPT could be an effective and affordable tutor — from theconversation-com.cdn.ampproject.org by Anne Trumbore

Excerpt:

Yet the history and research of intelligent tutors show that using the right design to harness the power of chatbots like ChatGPT can make deeper, individualized learning available to almost anyone. For example, if people use ChatGPT to ask students questions that prompt them to revise or explain their work, students will have better learning gains. Since ChatGPT has access to far more knowledge than Aristotle ever did, it has great potential for providing tutoring to students to help them learn more than they would otherwise.

 
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