Will one of our future learning ecosystems look like a Discord server type of service? [Christian]

 

A cam/mic/light/teleprompter remote kit for non-tech-savvy guests, including Shure MV7 — from provideocoalition.com by Allan Tépper

Excerpt (emphasis DSC):

Inspired by my recent Review: Shure MV7 dynamic hybrid studio microphone – near, far and beyond, Beaker Films of Fairfield, Connecticut, US has developed and deployed a first batch of 10 kits to capture remote conversations from different locations worldwide. Beaker Films is frequently contracted to record remote interviews or testimonials from medical professionals. For this project, Beaker Films’ clients wanted consistent, high quality audio and video, but with 3 additional challenges: they preferred to have no visible microphone in the shot, they needed a teleprompter function and the whole kit needed to be as simple as possible for non-technical guests.




Speaking of A/V-related items, also see:

Seven worlds one planet at the BBC Earth Experience — from inavateonthenet.net by Paul Milligan

‘Holographic’ animal-free zoo opens in Australia — from inavateonthenet.net

XR Lab opens in UK college — from inavateonthenet.net

West Suffolk College in the UK has opened its Extended Reality Lab (XR Lab), the facilities comprise of four distinct areas: an Immersion Lab, a Collaboration Theatre, a Green Room, and a Conference Room. The project was designed by architects WindsorPatania for Eastern Colleges Group.

CJP to create virtual studio for Solent University — from inavateonthenet.net

Systems integrator CJP Broadcast Service Solutions, has won a tender to build a virtual production environment for Solent University in the UK.

The new facilities, converted from an existing studio space, will provide students on the film production courses with outstanding opportunities to develop their creative output.

 

Camera fixed on a surgery being used to provide remote learning and feeds

Learning Experience — from inavateemea.com by Tim Kridel

“Some of the stuff we’re doing is creating templates and workflows that capture multiple feeds: not just the teacher, [but also] the white board, an overhead camera,” Risby says.

“The student can then go in and pick what they look at, so it’s more interactive. You might be watching it the first time to listen to the lecturer, but you might watch the second time to concentrate on the experiment. It makes the stream more valuable.”

 

Recording Arts as Reengagement, Social Justice and Pathway — from gettingsmart.com

Key Points

  • After a successful career as a recording artist, David “TC” Ellis created Studio 4 in St. Paul to spot budding music stars.
  • It became a hangout spot for creative young people, most of whom had “dropped out of school due to boredom and a sense that school wasn’t relevant to their lives and dreams.”
  • Ellis and colleagues then opened the High School for Recording Arts in 1998.

Young people learning how to perform and record music at the High School for Recording Arts

 

AI for Education Webinars — from youtube.com by Tom Barrett and others

AI for education -- a webinar series by Tom Barrett and company


Post-AI Assessment Design — from drphilippahardman.substack.com by Dr. Philippa Hardman
A simple, three-step guide on how to design assessments in a post-AI world

Excerpt:

Step 1: Write Inquiry-Based Objectives
Inquiry-based objectives focus not just on the acquisition of knowledge but also on the development of skills and behaviours, like critical thinking, problem-solving, collaboration and research skills.

They do this by requiring learners not just to recall or “describe back” concepts that are delivered via text, lecture or video. Instead, inquiry-based objectives require learners to construct their own understanding through the process of investigation, analysis and questioning.

Step 1 -- Write Inquiry-Based Objectives

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Massive Disruption Now: What AI Means for Students, Educators, Administrators and Accreditation Boards
— from stefanbauschard.substack.com by Stefan Bauschard; via Will Richardson on LinkedIn
The choices many colleges and universities make regarding AI over the next 9 months will determine if they survive. The same may be true for schools.

Excerpts:

Just for a minute, consider how education would change if the following were true

  • AIs “hallucinated” less than humans
  • AIs could write in our own voices
  • AIs could accurately do math
  • AIs understood the unique academic (and eventually developmental) needs of each student and adapt instruction to that student
  • AIs could teach anything any student wanted or need to know any time of day or night
  • AIs could do this at a fraction of the cost of a human teacher or professor

Fall 2026 is three years away. Do you have a three year plan? Perhaps you should scrap it and write a new one (or at least realize that your current one cannot survive). If you run an academic institution in 2026 the same way you ran it in 2022, you might as well run it like you would have in 1920.  If you run an academic institution in 2030 (or any year when AI surpasses human intelligence) the same way you ran it in 2022, you might as well run it like you would have in 1820.  AIs will become more intelligent than us, perhaps in 10-20 years (LeCun), though there could be unanticipated breakthroughs that lower the time frame to a few years or less (Benjio); it’s just a question of when, not “if.”


On one creative use of AI — from aiandacademia.substack.com by Bryan Alexander
A new practice with pedagogical possibilities

Excerpt:

Look at those material items again. The voiceover? Written by an AI and turned into audio by software. The images? Created by human prompts in Midjourney. The music is, I think, human created. And the idea came from a discussion between a human and an AI?

How might this play out in a college or university class?

Imagine assignments which require students to craft such a video. Start from film, media studies, or computer science classes. Students work through a process:


Generative Textbooks — from opencontent.org by David Wiley

Excerpt (emphasis DSC):

I continue to try to imagine ways generative AI can impact teaching and learning, including learning materials like textbooks. Earlier this week I started wondering – what if, in the future, educators didn’t write textbooks at all? What if, instead, we only wrote structured collections of highly crafted prompts? Instead of reading a static textbook in a linear fashion, the learner would use the prompts to interact with a large language model. These prompts could help learners ask for things like:

  • overviews and in-depth explanations of specific topics in a specific sequence,
  • examples that the learner finds personally relevant and interesting,
  • interactive practice – including open-ended exercises – with immediate, corrective feedback,
  • the structure of the relationships between ideas and concepts,
  • etc.

Also relevant/see:


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Generating The Future of Education with AI — from aixeducation.com

AI in Education -- An online-based conference taking place on August 5-6, 2023

Designed for K12 and Higher-Ed Educators & Administrators, this conference aims to provide a platform for educators, administrators, AI experts, students, parents, and EdTech leaders to discuss the impact of AI on education, address current challenges and potentials, share their perspectives and experiences, and explore innovative solutions. A special emphasis will be placed on including students’ voices in the conversation, highlighting their unique experiences and insights as the primary beneficiaries of these educational transformations.


How Teachers Are Using ChatGPT in Class — from edweek.org by Larry Ferlazzo

Excerpt:

The use of generative AI in K-12 settings is complex and still in its infancy. We need to consider how these tools can enhance student creativity, improve writing skills, and be transparent with students about how generative AI works so they can better understand its limitations. As with any new tech, our students will be exposed to it, and it is our task as educators to help them navigate this new territory as well-informed, curious explorers.


Japan emphasizes students’ comprehension of AI in new school guidelines — from japantimes.co.jp by Karin Kaneko; via The Rundown

Excerpt:

The education ministry has emphasized the need for students to understand artificial intelligence in new guidelines released Tuesday, setting out how generative AI can be integrated into schools and the precautions needed to address associated risks.

Students should comprehend the characteristics of AI, including its advantages and disadvantages, with the latter including personal information leakages and copyright infringement, before they use it, according to the guidelines. They explicitly state that passing off reports, essays or any other works produced by AI as one’s own is inappropriate.


AI’s Teachable Moment: How ChatGPT Is Transforming the Classroom — from cnet.com by Mark Serrels
Teachers and students are already harnessing the power of AI, with an eye toward the future.

Excerpt:

Thanks to the rapid development of artificial intelligence tools like Dall-E and ChatGPT, my brother-in-law has been wrestling with low-level anxiety: Is it a good idea to steer his son down this path when AI threatens to devalue the work of creatives? Will there be a job for someone with that skill set in 10 years? He’s unsure. But instead of burying his head in the sand, he’s doing what any tech-savvy parent would do: He’s teaching his son how to use AI.

In recent months the family has picked up subscriptions to AI services. Now, in addition to drawing and sculpting and making movies and video games, my nephew is creating the monsters of his dreams with Midjourney, a generative AI tool that uses language prompts to produce images.


The AI Dictionary for Educators — from blog.profjim.com

To bridge this knowledge gap, I decided to make a quick little dictionary of AI terms specifically tailored for educators worldwide. Initially created for my own benefit, I’ve reworked my own AI Dictionary for Educators and expanded it to help my fellow teachers embrace the advancements AI brings to education.


7 Strategies to Prepare Educators to Teach With AI — from edweek.org by Lauraine Langreo; NOTE: Behind paywall


 

Peanuts Sing Roundabout — from theawesomer.com; I hadn’t seen this yet…so for those of my generation, you might like this as well! 🙂

 

Virtual Production Primer — from provideocoalition.com by Damian Allen

Excerpt:

…use this handy guide to educate yourself on the terms and technologies at play in Virtual Production.

An example of ICVFX using Unreal Engine and an LED volume


On somewhat related tangent, also see:


Below is an item regarding the upgrade to Midjourney, which is an example of generative AI that can convert natural language prompts into images.

 

Teaching With Music: 5 Tips for Using it With Any Subject — from by Erik Ofgang
Tips for teaching with music as a helpful learning tool regardless of the subject from school social worker Sherena Small

Excerpt:

Teaching with music can enhance learning in almost any subject area, says Sherena Small, a school social worker at Champaign Unit 4 School District in Illinois.

“It’s just such a good way to enhance what kids are learning,” says Small, who uses hip-hop and other music to teach social-emotional learning skills, including empathy and active listening. Earlier this year, Nearpod recognized Small as an Educator of the Year for her innovative efforts using Nearpod’s Flocabulary tool to incorporate music into class.


Speaking of multimedia, also see:

A DEEP DIVE INTO PEER LEARNING AND STUDENT VIDEO CREATION WITH KRISTEN BROOKS – EASY EDTECH PODCAST 218


And here’s another interesting item from Dr. Burns:

HOW MICROLEARNING IS RESHAPING PROFESSIONAL DEVELOPMENT – BONUS EPISODE WITH BRITANNICA EDUCATION

 

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


Addendum on 6/6/23:
Also relevant to the first item in this posting, see:

Looking for Miracles in the Wrong Places — from nataliewexler.substack.com by Natalie Wexler
An “edutourist” in Finland finds the ideal school, but it isn’t a school at all.

Counterpoint/excerpt:

It sounds appealing, but any country following that route is not only likely to find itself at the bottom of the PISA heap. It’s also likely to do a profound disservice to many of its children, particularly those from less highly educated families, who depend on teachers to impart information they don’t already have and to systematically build their knowledge.

Of course it’s possible for explicit, teacher-directed instruction to be soul-crushing for students. But it certainly doesn’t have to be, and there’s no indication from Mr. X’s account that the students in the schools he visited felt their experience was oppressive. When teachers get good training—of the kind apparently provided in Finland—they know how to engage students in the content they’re teaching and guide them to think about it deeply and analytically.

That’s not oppressive. In fact, it’s the key to enabling students to reach their full potential. In that sense, it’s liberating.

 

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:
 

Intentional Teaching — from intentionalteaching.buzzsprout.com by Derek Bruff
Rethinking Teaching in an Age of AI with James M. Lang and Michelle D. Miller

Podcast from Derek Bruff -- Rethinking Teaching in an Age of AI with James M. Lang and Michelle D. Miller

Excerpt:

In her 2022 book Remembering and Forgetting in the Age of Technology, Michelle D. Miller writes about the “moral panics” that often happen in response to new technologies. In his 2013 book Cheating Lessons: Learning from Academic Dishonesty, James M. Lang argues that the best way to reduce cheating is through better course design. What do these authors have to say about teaching in an age of generative AI tools like ChatGPT? Lots!

 


Governance of superintelligence — from openai.com
Now is a good time to start thinking about the governance of superintelligence—future AI systems dramatically more capable than even AGI.

Governance of superintelligence Now is a good time to start thinking about the governance of superintelligence—future AI systems dramatically more capable than even AGI.

OpenAI leaders propose international regulatory body for AI — from techcrunch.com by Devin Coldewey

Excerpt:

AI is developing rapidly enough and the dangers it may pose are clear enough that OpenAI’s leadership believes that the world needs an international regulatory body akin to that governing nuclear power — and fast. But not too fast. In a post to the company’s blog, OpenAI founder Sam Altman, President Greg Brockman and Chief Scientist Ilya Sutskever explain that the pace of innovation in artificial intelligence is so fast that we can’t expect existing authorities to adequately rein in the technology. While there’s a certain quality of patting themselves on the back here, it’s clear to any impartial observer that the tech, most visibly in OpenAI’s explosively popular ChatGPT conversational agent, represents a unique threat as well as an invaluable asset.

OpenAI-backed robot startup beats Elon Musk’s Tesla, deploys AI-enabled robots in real world — from firstpost.com by Mehul Reuben Das; via The Rundown
A robotics startup backed by OpenAI, the makers of ChatGPT has beaten Elon Musk’s Tesla in the humanoid robots race, and has successfully deployed humanoid robots as security guards. Next, they will be deploying the robots in hospices and assisted living facilities

A robotics startup backed by OpenAI, the makers of ChatGPT has beaten Elon Musk’s Tesla in the humanoid robots race, and has successfully deployed humanoid robots as security guards. Next, they will be deploying the robots in hospices and assisted living facilities.


From DSC:
Hmmm…given the crisis of loneliness in the United States, I’m not sure that this type of thing is a good thing. But I’m sure there are those who would argue the other side of this.


Turn ideas into music with MusicLM — from blog.google
Experiment today by describing a musical idea and hearing it come to life.

MusicLM is an experimental text-to-music model that can generate unique songs based on your ideas or descriptions.

 

Google I/O 2023: Making AI more helpful for everyone — from by; with thanks to Barsee out at The AI Valley 
Editor’s Note: Here is a summary of what we announced at Google I/O 2023. See all the announcements in our collection.

Keynote here:

100 things we announced at I/O 2023 — from blog.google by Molly McHugh-Johnson
A lot happened yesterday — here’s a recap.


Google partners with Adobe to bring art generation to Bard — from techcrunch.com by Kyle Wiggers

Excerpt:

Bard, Google’s answer to OpenAI’s ChatGPT, is getting new generative AI capabilities courtesy of Adobe.

Adobe announced today that Firefly, its recently introduced collection of AI models for generating media content, is coming to Bard alongside Adobe’s free graphic design tool, Adobe Express. Firefly — currently in public beta — will become the “premier generative AI partner” for Bard, Adobe says, powering text-to-image capabilities.

Also relevant/see:

 



 

From NPR:

We closed the fifth annual Student Podcast Challenge — more than 2,900 entries!!!  

So today, I wanted to share something that I’m also personally proud of – an elaborate resources page for student podcasting that our team published earlier this year. My big boss Steve Drummond named it “ Sound Advice: The NPR guide to student podcasting.” And, again, this isn’t just for Student Podcast Challenge participants. We have guides from NPR and more for anyone interested in starting a podcast!

Here’s a sampler of some of my favorite resources:

  • Using sound: Teachers, here’s a lovely video you can play for your class! Or for any visual learners, this is a fun watch! In this video, veteran NPR correspondent Don Gonyea walks you through how to build your own recording studio – a pillow fort! (And yes, this is an actual trick we use at NPR!)
  • Voice coaching: Speaking into a microphone is hard, even for our radio veterans. In this video, NPR voice coach Jessica Hansen and our training team share a few vocal exercises that will help you sound more natural in front of a mic! I personally watched this video before recording my first radio story, so I’d highly recommend it for everyone!
  • Life Kit episode on podcasting: In this episode from NPR’s Life Kit , Lauren Migaki, our very own NPR Ed senior producer, brings us tips from podcast producers across NPR, working on all your favorite shows, including Code Switch, Planet Money and more! It’s an awesome listen for a class or on your own!
 

New NVIDIA Research — excerpted section from this version of The Rundown

The NVIDIA research team just dropped a new research paper on creating high-quality short videos from text prompts. This technique uses Video Latent Diffusion Models (Video LDMs), which work efficiently without using too much computing power.

It can create 113 frame-long videos at 1280×2048 resolution, rendered at 24 FPS, resulting in 4.7-second clips. The team first trained the model on images, then added a time dimension to make it work with videos.

This new research is impressive. At the current pace of development, we may soon be able to generate full-length movies from just a handful of text prompts within the next few years.


Also relevant/see:


 


 
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