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:
 

Below comments/notes are from DSC (with thanks to Roberto Ferraro for this resource):
according to Dan Pink, intrinsic motivation is very powerful — much more powerful for many types of “messy/unclear” cognitive work (vs. clear, more mechanical types of work). What’s involved here according to Pink? Autonomy, mastery, and purpose. 

Dan Pink makes his case in the video below. My question is:

  • If this is true, how might this be applied to education/training/lifelong learning?

From DSC (cont’d):

As Dan mentions, we each know this to be true. For example, for each of our kids, my wife and I introduced them to a variety of things — music, sports, art, etc. We kept waiting for them to discover which thing(s) that THEY wanted to pursue. Perhaps we’ll find out that this was the wrong thing to do. but according to Pink, it’s aligned with the type of energy and productivity that gets released when we pursue something that we want to pursue. Plus creativity flows in this type of setting. 

Again, my thanks to Roberto Ferraro for resurfacing this item as his “One ‘must read’ for this week” item of his newsletter.


Learners need: More voice. More choice. More control. -- this image was created by Daniel Christian

 

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:

 



 

How Testing Students Twice Can Improve Note-Taking Skills — from edutopia.org by Benjamin Barbour
Allowing students to take a test two times—once from memory and once using their notes—can boost note-taking, study skills, and reading habits, all at once.

Excerpt:

Along the way, Barbour also came up with an ingenious strategy for improving students’ note-taking—he calls it the “test average method.” He tests his students twice, back-to-back: once, when they don’t use their notes (which incentivizes good studying), and a second time, when they use their notes (which incentivizes good note-taking). He then averages their scores.

Getting the Most Out of Your LMS and Instructional Technology — from edutopia.org by Madison Anders
Thinking about the purpose of an activity can help new teachers best use their LMS and other tech tools to boost student engagement.

Strategies for Supporting Students’ Speaking and Listening Skills — from edutopia.org by Lisa Schultz
Many students struggle with these skills, which are tied to academic success. Here are a few ways to teach them explicitly.

 

This company adopted AI. Here’s what happened to its human workers — from npr.org by Greg Rosalsky|

Excerpt:

What the economists found offers potentially great news for the economy, at least in one dimension that is crucial to improving our living standards: AI caused a group of workers to become much more productive. Backed by AI, these workers were able to accomplish much more in less time, with greater customer satisfaction to boot. At the same time, however, the study also shines a spotlight on just how powerful AI is, how disruptive it might be, and suggests that this new, astonishing technology could have economic effects that change the shape of income inequality going forward.

The article links to:
Generative AI at Work — from nber.org by Erik Brynjolfsson, Danielle Li & Lindsey R. Raymond

We study the staggered introduction of a generative AI-based conversational assistant using data from 5,179 customer support agents. Access to the tool increases productivity, as measured by issues resolved per hour, by 14 percent on average, with the greatest impact on novice and low-skilled workers, and minimal impact on experienced and highly skilled workers. We provide suggestive evidence that the AI model disseminates the potentially tacit knowledge of more able workers and helps newer workers move down the experience curve. In addition, we show that AI assistance improves customer sentiment, reduces requests for managerial intervention, and improves employee retention.

 

Introducing Teach AI — Empowering educators to teach w/ AI & about AI [ISTE & many others]


Teach AI -- Empowering educators to teach with AI and about AI


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!
 

Pathways With a Purpose: Supporting Students in Revealing Meaning — from gettingsmart.com by Michalle Blanchet

Key Points

  • As we look at career pathways for students we might do more to support students to find meaningful work.
  • Data suggests young people care about having jobs that make an impact.

Difference-making, social innovation, social entrepreneurship – there’s a thread that unites these various themes. They are purpose-driven. As we look at career pathways for students we might do more to support students to find meaningful work. Data suggests young people care about having jobs that make an impact. They want to do something that contributes positively to society, and the environment while earning a paycheck. This is something that we must nurture as educators.

 

The Edtech Insiders’ Rundown of ASU GSV 2023  — from edtechinsiders.substack.com by Sarah Morin, Alex Sarlin, and Ben Kornell

Excerpt:

A few current categories of AI in Edtech particularly jump out:

  • Teacher Productivity and Joy: Tools to make educators’ lives easier (and more fun?) by removing some of the more rote tasks of teaching, like lesson planning (we counted at least 8 different tools for lesson planning), resource curation and data collection.
  • Personalization and Learning Delivery: Tools to tailor instruction to the particular interests, learning preferences and preferred media consumption of students. This includes tools that convert text to video, video to text, text to comic books, Youtube to notes, and many more.
  • Study and Course Creation Tools: Tools for learners to automatically make quizzes, flashcards, notes or summaries of material, or even to automatically create full courses from a search term.
  • AI Tutors, Chatbots and Teachers: There will be no shortage of conversational AI “copilots” (which may take many guises) to support students in almost any learning context. Many Edtech companies launched their own during the conference. Possible differentiators here could be personality, safety, privacy, access to a proprietary or specific data set, or bots built on proprietary LLMs.
  • Simplifying Complex Processes: One of the most inspiring conversations of the conference for me was with Tiffany Green, founder of Uprooted Academy, about how AI can and should be used to remove bureaucratic barriers to college for underrepresented students (for example, used to autofill FAFSA forms, College Applications, to search for schools and access materials, etc). This is not the only complex bureaucratic process in education.
  • Educational LLMs: The race is on to create usable large language models for education that are safe, private, appropriate and classroom-ready. Merlyn Mind is working on this, and companies that make LLMs are sprouting up in other sectors…
 
 
 

Adobe’s AI Generator Firefly Looks To Reimagine Video and Audio Workflows — from provideocoalition.com by Michelle DeLateur

Excerpt:

What if you could create storyboards, change the color of a video, and generate relevant sound effects just by working with an AI Generator? It may be on the (generated sunset) horizon sooner rather than later: Adobe hopes to transform these processes through their AI product Firefly. As shared today at NAB Show 2023, Adobe looks to expand and innovate Firefly’s ability in the creative sphere, including font changes and effects, script analysis, color changes, generated music, storyboard edits, and more.

 
 

How Easy Is It/Will It Be to Use AI to Design a Course? — from wallyboston.com by Wally Boston

Excerpt:

Last week I received a text message from a friend to check out a March 29th Campus Technology article about French AI startup, Nolej. Nolej (pronounced “Knowledge”) has developed an OpenAI-based instructional content generator for educators called NolejAI.

Access to NolejAI is through a browser. Users can upload video, audio, text documents, or a website url. NolejAI will generate an interactive micro-learning package which is a standalone digital lesson including content transcript, summaries, a glossary of terms, flashcards, and quizzes. All the lesson materials generated is based upon the uploaded materials.


From DSC:
I wonder if this will turn out to be the case:

I am sure it’s only a matter of time before NolejAI or another product becomes capable of generating a standard three credit hour college course. Whether that is six months or two years, it’s likely sooner than we think.


Also relevant/see:

The Ultimate 100 AI Tools

The Ultimate 100 AI Tools -- as of 4-12-23


 

From DSC:
Before we get to Scott Belsky’s article, here’s an interesting/related item from Tobi Lutke:


Our World Shaken, Not Stirred: Synthetic entertainment, hybrid social experiences, syncing ourselves with apps, and more. — from implications.com by Scott Belsky
Things will get weird. And exciting.

Excerpts:

Recent advances in technology will stir shake the pot of culture and our day-to-day experiences. Examples? A new era of synthetic entertainment will emerge, online social dynamics will become “hybrid experiences” where AI personas are equal players, and we will sync ourselves with applications as opposed to using applications.

A new era of synthetic entertainment will emerge as the world’s video archives – as well as actors’ bodies and voices – will be used to train models. Expect sequels made without actor participation, a new era of ai-outfitted creative economy participants, a deluge of imaginative media that would have been cost prohibitive, and copyright wars and legislation.

Unauthorized sequels, spin-offs, some amazing stuff, and a legal dumpster fire: Now lets shift beyond Hollywood to the fast-growing long tail of prosumer-made entertainment. This is where entirely new genres of entertainment will emerge including the unauthorized sequels and spinoffs that I expect we will start seeing.


Also relevant/see:

Digital storytelling with generative AI: notes on the appearance of #AICinema — from bryanalexander.org by Bryan Alexander

Excerpt:

This is how I viewed a fascinating article about the so-called #AICinema movement.  Benj Edwards describes this nascent current and interviews one of its practitioners, Julie Wieland.  It’s a great example of people creating small stories using tech – in this case, generative AI, specifically the image creator Midjourney.

Bryan links to:

Artists astound with AI-generated film stills from a parallel universe — from arstechnica.com by Benj Edwards
A Q&A with “synthographer” Julie Wieland on the #aicinema movement.

An AI-generated image from an #aicinema still series called Vinyl Vengeance by Julie Wieland, created using Midjourney.


From DSC:
How will text-to-video impact the Learning and Development world? Teaching and learning? Those people communicating within communities of practice? Those creating presentations and/or offering webinars?

Hmmm…should be interesting!


 
© 2025 | Daniel Christian