ChatGPT Prompts for Learner Motivation — from drphilippahardman.substack.com by Dr. Philippa Hardman
Three mega-prompts to motivate your learners like a pro

So, what can we – as educators and creators of ed-tech – do to build our learners’ intrinsic motivation and, in the process, drive both inclusion and achievement?

To help answer this question, I’ve put together a short guide. The guide includes:

  1. A whistle-stop tour of the science of intrinsic motivation.
  2. Three ChatGPT mega-prompts so you can apply the theory to the way you design learning experiences (and, perhaps, ed-tech products) and optimise for intrinsic motivation today.

How will Artificial Intelligence change higher education? — from chronicle.com by various
ChatGPT is just the beginning. 12 scholars and administrators explain.

Even discounting for hyperbole, the release of ChatGPT suggests that we’re at the dawn of an era marked by rapid advances in artificial intelligence, with far-reaching consequences for nearly every facet of society, including higher education. From admissions to assessment, academic integrity to scholarly research, university operations to disappearing jobs, here’s how 12 professors, administrators, and writers answer the question: How will AI change higher education?


Improving mathematical reasoning with process supervision — from openai.com

Excerpt:

We’ve trained a model to achieve a new state-of-the-art in mathematical problem solving by rewarding each correct step of reasoning (“process supervision”) instead of simply rewarding the correct final answer (“outcome supervision”). In addition to boosting performance relative to outcome supervision, process supervision also has an important alignment benefit: it directly trains the model to produce a chain-of-thought that is endorsed by humans.

 

In Finland, the Future of Learning Has Arrived — Just Not Where You Think — from samchaltain.substack.com by Sam Chaltain
It turns out the “Finnish Miracle” is more (and less) miraculous than you think . . .

But whereas Finland’s schools are still characterized by a culture of teaching, Oodi stands as a beacon of learning — self-organizing, emergent, and overflowing with the life force of its inhabitants.
.


From DSC:
As the above got me to thinking about learning spaces, here’s another somewhat relevant item from Steelcase:

 


From DSC:
I also wanted to highlight the item below, which Barsee also mentioned above, as it will likely hit the world of education and training as well:



Also relevant/see:


 

 

 

The perils of consulting an Electric Monk — from jordanfurlong.substack.com by Jordan Furlong
Don’t blame ChatGPT for the infamous incident of the made-up cases. And don’t be too hard on the lawyer, either. We’re all susceptible to a machine that tells us exactly what we want to hear.

Excerpt:

But then the “ChatGPT Lawyer” story happened, and all hell broke loose on LawTwitter and LawLinkedIn, and I felt I needed to make three points, one of which involves an extra-terrestrial robot.

My first two points are pretty straightforward:

  1. The tsunami of gleeful overreaction from lawyers on social media, urging bans on the use of ChatGPT and predicting prison time for the hapless practitioner, speaks not only to their fear and loathing of generative AI, but also to their desperate hope that it’s all really nothing but hype and won’t disturb their happy status quo. Good luck with that.
  2. The condemnation and mockery of the lawyer himself, who made a bad mistake but who’s been buried by an utterly disproportionate avalanche of derision, speaks to the lack of compassion in this profession, whose members should pray that their worst day as a lawyer never makes it to the front page of The New York Times. There but for the grace of God.

Are you looking for evidence to support the side that’s hired you? Or are you looking for the truth? Choosing the first option has never been easier. It’s also never been more dangerous.


As referenced topic-wise by Jordan above, also see:

A lawyer used ChatGPT to prepare a court filing. It went horribly awry. — from cbsnews.com by Megan Cerullo


What I learned at CLOC 2023 — from alexofftherecord.com by Alex Su
This week I attended the premier legal operations conference. Here’s what I heard.

Excerpt:

Theme 1: Generative AI isn’t going anywhere
This was a huge theme throughout the conference. Whether it was vendors announcing GPT integrations, or panels discussing how to use AI, there was just an enormous amount of attention on generative AI. I’m certainly no stranger to all this hype, but I’d always wondered if it was all from my Silicon Valley bubble. It wasn’t.

What was driving all this interest in AI? Well, the ubiquity of ChatGPT. Everyone’s talking about it and trying to figure out how to incorporate it into the business. And not just in the U.S. It’s a worldwide trend. Word on the street is that it’s a CEO-level priority. Everywhere. So naturally it trickles down to the legal department.


We need to talk about ChatGPT — from mnbar.org by Damien Riehl

Excerpt:

How well do LLMs perform on legal tasks? 

Personal experience and anecdotal evidence indicate that LLMs’ current state provides impressive output in various legal tasks. Specifically, they provide extraordinary results on the following:

  • Drafting counterarguments.
  • Exploring client fact inquiries (e.g., “How did you lose money?”).
  • Ideating voir dire questions (and rating responses).
  • Summarizing statutes.
  • Calculating works’ copyright expiration.
  • Drafting privacy playbooks.
  • Drafting motions to dismiss.
  • Responding to cease-and-desist letters.
  • Crafting decision trees.
  • Creating chronologies.
  • Drafting contracts.
  • Extracting key elements from depositions.

 

 

Changed by Our Journey: Engaging Students through Simulive Learning — from er.educause.edu by Lisa Lenze and Megan Costello
In this article, an instructor explains how she took an alternative approach to teaching—simulive learning—and discusses the benefits that have extended to her in-person classrooms.

Excerpts:

Mustering courage, Costello devised a novel way to (1) share the course at times other than when it was regularly scheduled and (2) fully engage with her students in the chat channel during the scheduled class meeting time. Her solution, which she calls simulive learning, required her to record her lectures and watch them with her students. (Courageous, indeed!)

Below, Costello and I discuss what simulive learning looks like, how it works, and how Costello has taken her version of remote synchronous teaching forward into current semesters.

Megan Costello: I took a different approach to remote synchronous online learning at the start of the pandemic. Instead of using traditional videoconferencing software to hold class, I prerecorded, edited, and uploaded videos of my lectures to a streaming website. This website allowed me to specify a time and date to broadcast my lectures to my students. Because the lectures were already prepared, I could watch and participate in the chat with my students as we encountered the materials together during the scheduled class time. I drove conversations in chat, asked questions, and got students engaged as we covered materials for the day. The students had my full attention.

 

 

Professors Plan Summer AI Upskilling, With or Without Support — from insidehighered.com by Susan D’Agostino
Academics seeking respite from the fire hose of AI information and hot takes launch summer workshops. But many of the grass-roots efforts fall short of meeting demand.

Excerpt:

In these summer faculty AI workshops, some plan to take their first tentative steps in redesigning assignments to recognize the AI-infused landscape. Others expect to evolve their in-progress teaching-with-AI practices. At some colleges, full-time staff will deliver the workshops or pay participants for professional development time. But some offerings are grassroots efforts delivered by faculty volunteers attended by participants on their own time. Even so, many worry that the efforts will fall short of meeting demand.

From DSC:
We aren’t used to this pace of change. It will take time for faculty members — as well as Instructional Designers, Instructional Technologists, Faculty Developers, Learning Experience Designers, other Teaching & Learning Staff, Librarians, and others — to learn more about AI and its implications for teaching and learning. Faculty are learning. Staff are learning. Students are learning. Grace is needed. And faculty/staff modeling what it is to learn is a good thing for students to see as well.


Also relevant/see:

It takes a village… Reflections on sustainable learning design — from The Educationalist (educationalist.substack.com) by Alexandra Mihai

Excerpts:

This can be done first and foremost through collaboration, bringing more people at the table, in a meaningful workflow, whereby they can make the best use of their expertise. Moreover, we need to take a step back and keep the big picture in mind, if we want to provide our students with a valuable experience.

This is all about creating and nurturing partnerships. Thinking in an inclusive way about who is at the table when we design our courses and our programmes and who we are currently missing. Generally speaking, the main actors involved should be: teaching staff, learning design professionals (under all their various names) and students. Yes, students. Although we are designing for their learning, they are all too often not part of the process.

In order to yield results, collaborative practice needs to be embedded in the institutional fabric, and this takes time. Building silos happens fast, breaking them is a long term process. Creating a culture of dialogue, with clear and replicable processes is key to making collaborative learning design work.

From DSC:
To me, Alexandra is addressing the topic of using teams to design, develop, and teach/offer courses. This is where a variety of skills and specialties can come together to produce an excellent learning experience. No one individual has all of the necessary skills — nor the necessary time. No way.

 

Romans 12:10
Be devoted to one another in love. Honor one another above yourselves.

Proverbs 12:22
“The Lord detests lying lips, but he delights in people who are trustworthy.”

Psalms 65:3
When we were overwhelmed by sins, you forgave our transgressions.

Proverbs 13:10
Where there is strife, there is pride, but wisdom is found in those who take advice.

 

Professional Baseball Coaches Are Now Available In VR — from vrscout.com by KyleMelnick


Also see:

VR Brings A Terminally Ill Girl’s Dream To Life — from vrscout.com by KyleMelnick
A group of compassionate VR developers came together for an incredible cause.

Excerpt:

This week we learned of yet another heart-warming story wherein immersive technology was used to change a life. As reported by Shacknews, a handful of talented VR developers recently joined forces to answer the wish of a terminally-ill girl with a passion for mythical sea creatures.

Organized by VR Therapies, a group dedicated to exploring the use of VR technology for psychological and physical therapy, the project brought together 10 compassionate developers to make four-year-old Zainab’s dream of swimming through the ocean as a mermaid a reality for her birthday.

 


Webinars from Tom Barrett regarding AI for Education — a free webinar series

  • Webinar 6 replay
    • Miriam Scott – Head of Digital Education at Hillbrook Anglican School, Brisbane, Queensland, Australia.
    • Laura Bain – Head of Emerging Technologies and Innovation, Matthew Flinders Anglican College, Sunshine Coast, Queensland, Australia.
    • Nicole Dyson – Founder & CEO, Future Anything, Brisbane, Queensland, Australia.
  • Webinar 5 replay
    • In the fifth free webinar on AI for Education, I am joined by Dean Pearman, Head of Education at Beaconhills College and Tom Oliphant, Head of Technology and Enterprise at St John’s Grammar School. We explore questions about creativity, design and the new skills that are emerging. Join us to invest in your AI Literacy. Expand your toolset, broaden your understanding, and challenge your thinking.
  • Webinar 4 replay
    • You are watching the fourth free webinar, a dialogue about AI for education with Sophie Fenton, Steve Brophy and hosted by Tom Barrett Building Blocks – key AI concepts to learn. Practical frameworks for navigating the challenges of AI for education. Be part of a dialogue on provocations about AI and human centred education, truth and identity.
  • Webinar 3 replay – Claire Amos and Philly Wintle
  • Webinar 2 replay – Gemma Rainger and Dr Nick Jackson
  • Webinar 1 replay – Chantelle Love, Pip Cleaves and Steve Brophy

Using ChatGPT in Math Lesson Planning — from edutopia.org by Kristen Moore
Artificial intelligence tools are useful beyond language arts classes. Math teachers can use them to save time and create interesting lessons.


Democratic Inputs to AI — from openai.com
Our nonprofit organization, OpenAI, Inc., is launching a program to award ten $100,000 grants to fund experiments in setting up a democratic process for deciding what rules AI systems should follow, within the bounds defined by the law.


AI Canon — from a16z.com (Andreessen Horowitz) by Derrick Harris, Matt Bornstein, and Guido Appenzeller; via The Neuron newsletter

Excerpts:

Research in artificial intelligence is increasing at an exponential rate. It’s difficult for AI experts to keep up with everything new being published, and even harder for beginners to know where to start. So, in this post, we’re sharing a curated list of resources we’ve relied on to get smarter about modern AI. We call it the “AI Canon” because these papers, blog posts, courses, and guides have had an outsized impact on the field over the past several years.

Table of contents

  • A gentle introduction
  • Foundational learning
  • Tech deep dive
  • Practical guides to building with LLMs
  • Market analysis
  • Landmark research results

Generative AI hits Adobe Photoshop!

Generative AI hits Adobe Photoshop!

 

How Financially Resilient Is Your College? — from bain.com; with thanks to Jeff Selingo for this resource
See how your school stacks up in our interactive database.  

Excerpt:

Use this interactive tool to explore the impact of macroeconomic, enrollment, and cost scenarios on your institution’s financial position, actions you can take boost resilience, and how your school compares with others.

 

NVIDIA ACE for Games is a new foundry for intelligent in-game characters powered by generative AI. Developers of middleware, tools, and games can use NVIDIA ACE for Games to build and deploy customized speech, conversation, and animation AI models in their software and games.

From DSC:
I can’t wait to see this type of thing integrated into educational games/simulations/training.

 

082 | Generating Voices — from thebrainyacts.beehiiv.com

Excerpts:

Conventional Use Cases

  1. Audio Document Reading:
  2. Accessibility:
  3. Training Materials:
  4. Document Proofing:
  5. Transcriptions:
  6. Blog to Podcast:

Unconventional Use Cases

  1. Voice Cloning for Client Interaction:
  2. Multilingual Services:
  3. AI-based Legal Information Hotline:
  4. Real-Time Courtroom Assistance:
  5. Engaging Jurors:
  6. Storytelling for Case Understanding:
 
© 2022 | Daniel Christian