101 creative ideas to use AI in education, A crowdsourced collection — from zenodo.org by Chrissi Nerantzi, Sandra Abegglen, Marianna Karatsiori, & Antonio Martínez-Arboleda (Eds.); with thanks to George Veletsianos for this resource

101 creative ideas to use AI in education, A crowdsourced collection

As an example, here’s one of the ideas from the crowdsourced collection:

Chat with anyone in the past

Chatting with Napoleon Bonaparte

 


On a somewhat related note, also see:

Merlyn Mind launches education-focused LLMs for classroom integration of generative AI — from venturebeat.com by Victor Dey

Excerpt:

Merlyn Mind, an AI-powered digital assistant platform, announced the launch of a suite of large language models (LLMs) specifically tailored for the education sector under an open-source license.

Designing courses in an age of AI — from teachinginhighered.com by Maria Andersen
Maria Andersen shares about designing courses in an age of artificial intelligence (AI) on episode 469 of the Teaching in Higher Ed podcast.

With generative AI, we have an incredible acceleration of change happening.

Maria Andersen

 

The economic potential of generative AI — from mckinsey.com; via Superhuman

The economic potential of generative AI -- from McKinsey & Co

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On giving AI eyes and ears — from oneusefulthing.org by Ethan Mollick
AI can listen and see, with bigger implications than we might realize.

Excerpt:

But even this is just the beginning, and new modes of using AI are appearing, which further increases their capabilities. I want to show you some examples of this emerging world, which I think will soon introduce a new wave of AI use cases, and accompanying disruption.

We need to recognize that these capabilities will continue to grow, and AI will be able to play a more active role in the real world by observing and listening. The implications are likely to be profound, and we should start thinking through both the huge benefits and major concerns today.

Ethan Mollick


5 Steps to Transforming Images into Videos Using AI Tools — from heatherbcooper.substack.com by Heather Cooper
A simple guide to layering AI tools for quick video creation

5 Steps to Transforming Images into Videos Using AI Tools

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‘Nobody wins in an academic-integrity arms race’ — from chonicle.com by Ian Wilhelm
How artificial intelligence is changing the way college thing about cheating

Even though generative AI is a new thing, it doesn’t change why students cheat. They’ve always cheated for the same reason: They don’t find the work meaningful, and they don’t think they can achieve it to their satisfaction. So we need to design assessments that students find meaning in. 

Tricia Bertram Gallant


Caught off guard by AI — from chonicle.com by Beth McMurtrie and Beckie Supiano
Professor scrambled to react to ChatGPT this spring — and started planning for the fall

Excerpt:

Is it cheating to use AI to brainstorm, or should that distinction be reserved for writing that you pretend is yours? Should AI be banned from the classroom, or is that irresponsible, given how quickly it is seeping into everyday life? Should a student caught cheating with AI be punished because they passed work off as their own, or given a second chance, especially if different professors have different rules and students aren’t always sure what use is appropriate?


GPT-4 Can Use Tools Now—That’s a Big Deal — from every.to by Dan Shipper; resource via Sam DeBrule
What “function calling” is, how it works, and what it means

Excerpt:

…OpenAI built tool use right into the GPT API with an update called function calling. It’s a little like a child’s ability to ask their parents to help them with a task that they know they can’t do on their own. Except in this case, instead of parents, GPT can call out to external code, databases, or other APIs when it needs to.

Each function in function calling represents a tool that a GPT model can use when necessary, and GPT gets to decide which ones it wants to use and when. This instantly upgrades GPT capabilities—not because it can now do every task perfectly—but because it now knows how to ask for what it wants and get it.
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How ChatGPT can help disrupt assessment overload — from timeshighereducation.com by David Carless
Advances in AI are not necessarily the enemy – in fact, they should prompt long overdue consideration of assessment types and frequency, says David Carless

Excerpt:

Reducing the assessment burden could support trust in students as individuals wanting to produce worthwhile, original work. Indeed, students can be co-opted as partners in designing their own assessment tasks, so they can produce something meaningful to them.

A strategic reduction in quantity of assessment would also facilitate a refocusing of assessment priorities on deep understanding more than just performance and carries potential to enhance feedback processes.

If we were to tackle assessment overload in these ways, it opens up various possibilities. Most significantly there is potential to revitalise feedback so that it becomes a core part of a learning cycle rather than an adjunct at its end. End-of-semester, product-oriented feedback, which comes after grades have already been awarded, fails to encourage the iterative loops and spirals typical of productive learning.
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The full 12 uses are here: https://edgeoflearning.com/your-new-teaching-superpower-ai-tools/


The AI Tools in Education Database — from kiwi-path-612.notion.site by EdTech Insiders

Excerpt (emphasis DSC):

Since AI in education has been moving at the speed of light, we built this AI Tools in Education database to keep track of the most recent AI tools in education and the changes that are happening every day. This database is intended to be a community resource for educators, researchers, students, and other edtech specialists looking to stay up to date. This is a living document, so be sure to come back for regular updates.

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Time for Class 2023 Study finds students are earlier adopters of generative AI tools than faculty, and majority (69%) of learners prefer hybrid, blended or online course formats — from globenewswire.com by Tyton Partners

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AI Could Prevent Hiring Bias — Unless It Makes It Worse — from nerdwallet.com by Anna Helhoski
Advocates say AI can eliminate human biases in hiring. Skeptics point out that AI tools are trained by … humans.

Excerpt:

These claims conjure up the rosiest of images: human resource departments and their robot buddies solving discrimination in workplace hiring. It seems plausible, in theory, that AI could root out unconscious bias, but a growing body of research shows the opposite may be more likely.

Companies’ use of AI didn’t come out of nowhere: For example, automated applicant tracking systems have been used in hiring for decades. That means if you’ve applied for a job, your resume and cover letter were likely scanned by an automated system. You probably heard from a chatbot at some point in the process. Your interview might have been automatically scheduled and later even assessed by AI.

From DSC:
Here was my reflection on this:


Also related to AI in hiring, see:

4 in 10 Companies Will Be Using AI Interviews by 2024 — from resumebuilder.com

In June, ResumeBuilder.com surveyed more than 1,000 employees who are involved in hiring processes at their workplaces to find out about their companies’ use of AI interviews.

The results:

  • 43% of companies already have or plan to adopt AI interviews by 2024
  • Two-thirds of this group believe AI interviews will increase hiring efficiency
  • 15% say that AI will be used to make decisions on candidates without any human input
  • More than half believe AI will eventually replace human hiring managers

Watch OpenAI CEO Sam Altman on the Future of AI — from bloomberg.com
Sam Altman, CEO & Co-Founder, OpenAI discusses the explosive rise of OpenAI and its products and what an AI-laced future can look like with Bloomberg’s Emily Chang at the Bloomberg Technology Summit.

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PowerSchool Announces Collaboration with Microsoft Azure OpenAI Service to Provide Personalized Learning at Scale in K-12 Education — from powerschool.com
Large-scale language models integrated within PowerSchool Performance Matters and PowerSchool LearningNav products will empower educators in delivering transformative personalized learning pathways

The implementation of generative AI within these products will dramatically improve educators’ ability to deliver personalized learning to students at scale by enabling the application of personalized assessments and learning pathways based on individual student needs and learning goals. K-12 educators will also benefit from access to OpenAI technology…

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FETC 2023 Virtual Roundtable: How AI Will Transform K-12 Education

AI could be the great equalizer!

Holly Clark

Example screenshots:


 

Is It Time to Rethink the Traditional Grading System? — from edsurge.com by Jeffrey R. Young and Robert Talbert

Excerpt:

After that, this professor vowed never to use traditional grades on tests again. But he wasn’t quite sure what to replace them with.

As Talbert soon discovered, there’s a whole world of so-called alternative grading systems. So many, in fact, that he ended up co-writing an entire book about them with a colleague at his university, David Clark. The book, which is due out this summer, is called “Grading for Growth: A Guide to Alternative Grading Practices that Promote Authentic Learning and Student Engagement in Higher Education.

EdSurge connected with Talbert to hear what he uses in his classes now, and why he argues that reforming how grading works is key to increasing student engagement.

 

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.

 

An Open Letter from a Future Lawyer Now Studying for the Bar Exam — from abaforlawstudents.com by Megan Parker

Excerpt:

The Uniform Bar Exam (UBE) spans two days, with closed-book testing comprising three components prepared by the National Conference of Bar Examiners.

On the first day (a Tuesday), I’ll write six multistate essay exam (MEE) responses in the morning. The MEE questions can pertain to any one of the following areas of law: business associations, conflicts of law, constitutional law, contracts/sales, criminal law and procedure, evidence, family law, federal civil procedure, real property, secured transactions, torts, and trusts and estates.

In the afternoon, I’ll write two multistate performance test (MPT)responses that require composing two real-life practice documents from a “file” and “library” of approximately 25 pages each that I must read, analyze, and digest on the spot.

On the second day (a Wednesday), I’ll need to answer 200 multistate bar examination (MBE)multiple-choice questions covering six subject areas: constitutional law, contracts/sales, criminal law and procedure, evidence, federal civil procedure, real property, and torts.

Also relevant/see:

Q&A with a Bar Exam Tutor—Frequently Asked Questions about the Bar Exam — from abaforlawstudents.com by JD Advising

Excerpts:

What is the best advice for passing the bar exam the first time?

  • What everyone says is true: studying for the bar is a marathon, not a sprint. Investing the time early in your studies to be diligent and sticking to your study schedule will reward you in the long run.
  • Be Consistent
  • Take Care of Yourself
  • Make a Schedule
  • Use the Strategies That Work for You
 

7 reasons to get rid of the law degree — from jordanfurlong.substack.com by Jordan Furlong
Requiring a law degree for bar admission imposes unfair burdens on new lawyers and blocks innovation in legal education. Here’s what we can do instead.

Excerpt:

Hey there, legal sector participant! Do you feel that law school is too expensive? That law students graduate too heavily in debt and deeply stressed? That legal education seems impossible to reform? That the whole lawyer development and bar admission system in general is an enormous hot mess?

If so, you’re like thousands of others who’ve grown massively frustrated with the profession’s broken-down approach to developing new lawyers. But I’m here with some good news! There’s a simple and straightforward path to resolving these and many other problems with legal education and bar admission.

We start by getting rid of the law degree.

Now, hold on, let me be clear — I don’t mean kill the law degree itself. That would be crazy.

No, I mean, let’s get rid of the law degree as a mandatory element of the lawyer licensing process. Law schools should continue to offer whatever sort of degree programs they like — but legal regulators and bar admission authorities should no longer require everybody who wants to be a lawyer to get one.

From DSC:
I need to think on this further, but Jordan could be onto something here…

A better pathway to lawyer licensing — from jordanfurlong.substack.com by Jordan Furlong
No law degree; a single knowledge exam; training in legal, business and professional skills; and a term of supervised practice. This is how we do it.

Excerpt:

Previously here at Substack, I provided a pretty comprehensive takedown of the law degree requirement for lawyer licensing. It generated a ton of fascinating and gratifying feedback, here and especially at LinkedIn, with a few objections but mostly a lot of support.

Of course, it’s easy to criticize legal education — fun, too — but look, most people in the legal profession already know all the problems with the law degree, and complaining about it is kind of a vacuous pastime. What I’m really interested in here is a bigger and more important question: How does — how should — someone become a lawyer?

 

To help new students adapt, some colleges are eliminating grades — from npr.org by Jon Marcus

Excerpt (emphasis DSC):

Experiences like these are among the reasons behind a growing movement to stop assigning conventional A through F letter grades to first-year college students and, sometimes, upperclassmen.

Called “un-grading,” the idea is meant to ease the transition to higher education — especially for freshmen who are the first in their families to go to college or who weren’t well prepared for college-level work in high school and need more time to master it.

But advocates say the most important reason to adopt un-grading is that students have become so preoccupied with grades, they aren’t actually learning.

 

How can we teach and assess with ChatGPT? — from timeshighereducation.com by Soumyadeb Chowdhury and Samuel Fosso Wamba
A guide to designing teaching and assessments that encourage students to learn with and about ChatGPT

Excerpts:

  1. Design activities that require reflection:
  2. Link essay-type assignments to novel case studies:
  3. Ask for more in essay assessments:
  4. Discuss openly the importance of human skills in their future careers:

Also relevant/see:

  • ChatGPT can generate, but can it create? — from ecampusnews.com Dr. Lee Ann Dickerson; with thanks to Ray Schroeder for posting this resource on LinkedIn
    The AI chatbot is taking many of us in education by surprise and startling more of us to attention

Also relevant/see:


Also relevant/see:

AI in the Classroom, Teachers as Learners, Denver-bound, and more — from ed3.beehiiv.com by Scott Meyer
The most exciting ideas in education, hand-picked for you

 

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.

 

13 Formative Assessments That Inspire Creativity — from edutopia.org by Paige Tutt
Sometimes mixing in formative assessments that go a step beyond exit slips and low-stakes quizzes can inject some fun—and creativity—into learning.

Excerpt:

Quick checks for understanding aren’t new, of course, but when time allows, occasionally injecting an element of creativity into formative assessments can deliver unexpected benefits. For example—regardless of a student’s artistic talent—research suggests that drawing the information they’re learning can increase student recall by nearly double. And when kids are encouraged to tap into their imagination to show what they know, they tend to ask more innovative questions of themselves, brainstorm fresh solutions to problems, and synthesize material in original and surprising ways.

Here are 13 formative assessment strategies that lean into creativity—inspired by the work of several Edutopia contributors, and from Finley’s handy list of quick checks for understanding.

Also see:

Is This Elementary School Near Pittsburgh the Future of Education? — from smithsonianmag.com by Kellie B. Gormly; with thanks to Tom Vander Ark out on Twitter for this resource
Ehrman Crest Elementary and Middle School is an innovative blend of children’s museum and classroom

A winding ramp curls up the center of the school. Laura Peters/CannonDesign

Excerpt (emphasis DSC):

At Seneca Valley’s Ehrman Crest Elementary and Middle School, K-6 students are benefiting from an unusual collaboration. School leaders, architects and the Children’s Museum of Pittsburgh teamed up on the $63 million project, which opened in August 2022 after 790 construction days. With a student capacity of 1,400, the 200,000-square-foot facility takes a novel approach, forgoing the traditional school design for the playful, interactive, colorful elements of a children’s museum. Time magazine declared it one of the “Best Inventions of 2022.”

Matilda McQuaid, acting curatorial director at Cooper Hewitt, Smithsonian Design Museum in New York City, says this is the first time she has heard of a museum collaborating with a school to create a new environment from the ground up.

From DSC:
I love this collaboration — a children’s museum and a school district! — and the energy and creativity throughout this learning space!

17 Engaging Taxonomy Activities — from teachingexpertise.com

17 Engaging Taxonomy Activities

Students Need More Exercise. Here’s How to Add Activity Without Disrupting Learning — from edweek.org by Sarah D. Sparks

5 Ways to Inspire a Love for Learning in Students — from edweek.org by Elizabeth Heubeck

 

Introducing Q-Chat, the world’s first AI tutor built with OpenAI’s ChatGPT — from quizlet.com by Lex Bayer

Excerpt:

Modeled on research demonstrating that the most effective form of learning is one-on-one tutoring1, Q-Chat offers students the experience of interacting with a personal AI tutor in an effective and conversational way. Whether they’re learning French vocabulary or Roman History, Q-Chat engages students with adaptive questions based on relevant study materials delivered through a fun chat experience. Pulling from Quizlet’s massive educational content library and using the question-based Socratic method to promote active learning, Q-Chat has the ability to test a student’s knowledge of educational content, ask in-depth questions to get at underlying concepts, test reading comprehension, help students learn a language and encourage students on healthy learning habits.

Quizlet's Q-Chat -- choose a study prompt to be quizzed on the material, to deepen your understanding or to learn through a story.

 

Three Ways to Deal with Learners Who Skip the Content & Go to the Quiz — from blogs.articulate.com by Tom Kuhlmann

Excerpt:

Quiz Tip #1: Provide a Pre-Test
Don’t fight skipping to the quiz. Instead, put it up front. Give the learners who know the content the opportunity to prove it upfront.

If they can pass the quiz, then they demonstrate they know the content (or at least to the level that you’re quizzing). Pass the quiz, get credit for completion. Don’t pass the quiz, go to page 1 of the course.


On a somewhat relevant note, see:

Creating Better Video For Learning, Part 3 — from elearningindustry.com by Patti Shank

Summary: 

Which principles are valuable for making instructional video better for mental processing? Part 3 of my series on better video for learning primarily discusses processing issues and Mayer’s (2021) and Brame’s (2016) instructional video design principles.


Start Building Your Knowledge About Artificial Intelligence — from learningguild.com by Bill Brandon

Excerpt:

In this article I have listed some resources that I believe will help readers get started on the journey toward more fully understanding the technology and its applications to the field of learning and development.


 

Five Predictions for the Future of Learning in the Age of AI — from a16z.com by Anne Lee Skates

Excerpts:

Seeing as education is one of AI’s first consumer use cases, and programs like ChatGPT are how millions of kids, teachers, and administrators will be introduced to AI, it is critical that we pay attention to the applications of AI and its implications for our lives. Below, we explore five predictions for AI and the future of learning, knowledge, and education.

TOC for Five Predictions for the Future of Learning in the Age of AI

 

 

Introducing: ChatGPT Edu-Mega-Prompts — from drphilippahardman.substack.com by Dr. Philippa Hardman; with thanks to Ray Schroeder out on LinkedIn for this resource
How to combine the power of AI + learning science to improve your efficiency & effectiveness as an educator

From DSC:
Before relaying some excerpts, I want to say that I get the gist of what Dr. Hardman is saying re: quizzes. But I’m surprised to hear she had so many pedagogical concerns with quizzes. I, too, would like to see quizzes used as an instrument of learning and to practice recall — and not just for assessment. But I would give quizzes a higher thumbs up than what she did. I think she was also trying to say that quizzes don’t always identify misconceptions or inaccurate foundational information. 

Excerpts:

The Bad News: Most AI technologies that have been built specifically for educators in the last few years and months imitate and threaten to spread the use of broken instructional practices (i.e. content + quiz).

The Good News: Armed with prompts which are carefully crafted to ask the right thing in the right way, educators can use AI like GPT3 to improve the effectiveness of their instructional practices.

As is always the case, ChatGPT is your assistant. If you’re not happy with the result, you can edit and refine it using your expertise, either alone or through further conversation with ChatGPT.

For example, once the first response is generated, you can ask ChatGPT to make the activity more or less complex, to change the scenario and/or suggest more or different resources – the options are endless.

Philippa recommended checking out Rob Lennon’s streams of content. Here’s an example from his Twitter account:


Also relevant/see:

3 trends that may unlock AI's potential for Learning and Development in 2023

3 Trends That May Unlock AI’s Potential for L&D in 2023 — from learningguild.com by Juan Naranjo

Excerpts:

AI-assisted design and development work
This is the trend most likely to have a dramatic evolution this year.

Solutions like large language models, speech generators, content generators, image generators, translation tools, transcription tools, and video generators, among many others, will transform the way IDs create the learning experiences our organizations use. Two examples are:

1. IDs will be doing more curation and less creation:

  • Many IDs will start pulling raw material from content generators (built using natural language processing platforms like Open AI’s GPT-3, Microsoft’s LUIS, IBM’s Watson, Google’s BERT, etc.) to obtain ideas and drafts that they can then clean up and add to the assets they are assembling. As technology advances, the output from these platforms will be more suitable to become final drafts, and the curation and clean-up tasks will be faster and easier.
  • Then, the designer can leverage a solution like DALL-E 2 (or a product developed based on it) to obtain visuals that can (or not) be modified with programs like Illustrator or Photoshop (see image below for Dall-E’s “Cubist interpretation of AI and brain science.”

2. IDs will spend less, and in some cases no time at all, creating learning pathways

AI engines contained in LXPs and other platforms will select the right courses for employees and guide these learners from their current level of knowledge and skill to their goal state with substantially less human intervention.

 


The Creator of ChatGPT Thinks AI Should Be Regulated — from time.com by John Simons

Excerpts:

Somehow, Mira Murati can forthrightly discuss the dangers of AI while making you feel like it’s all going to be OK.

A growing number of leaders in the field are warning of the dangers of AI. Do you have any misgivings about the technology?

This is a unique moment in time where we do have agency in how it shapes society. And it goes both ways: the technology shapes us and we shape it. There are a lot of hard problems to figure out. How do you get the model to do the thing that you want it to do, and how you make sure it’s aligned with human intention and ultimately in service of humanity? There are also a ton of questions around societal impact, and there are a lot of ethical and philosophical questions that we need to consider. And it’s important that we bring in different voices, like philosophers, social scientists, artists, and people from the humanities.


Whispers of A.I.’s Modular Future — from newyorker.com by James Somers; via Sam DeBrule

Excerpts:

Gerganov adapted it from a program called Whisper, released in September by OpenAI, the same organization behind ChatGPTand dall-e. Whisper transcribes speech in more than ninety languages. In some of them, the software is capable of superhuman performance—that is, it can actually parse what somebody’s saying better than a human can.

Until recently, world-beating A.I.s like Whisper were the exclusive province of the big tech firms that developed them.

Ever since I’ve had tape to type up—lectures to transcribe, interviews to write down—I’ve dreamed of a program that would do it for me. The transcription process took so long, requiring so many small rewindings, that my hands and back would cramp. As a journalist, knowing what awaited me probably warped my reporting: instead of meeting someone in person with a tape recorder, it often seemed easier just to talk on the phone, typing up the good parts in the moment.

From DSC:
Journalism majors — and even seasoned journalists — should keep an eye on this type of application, as it will save them a significant amount of time and/or money.

Microsoft Teams Premium: Cut costs and add AI-powered productivity — from microsoft.com by Nicole Herskowitz

Excerpt:

Built on the familiar, all-in-one collaborative experience of Microsoft Teams, Teams Premium brings the latest technologies, including Large Language Models powered by OpenAI’s GPT-3.5, to make meetings more intelligent, personalized, and protected—whether it’s one-on-one, large meetings, virtual appointments, or webinars.


 

Unbundled: Designing Personalized Pathways for Every Learner — from gettingsmart.com by Nate McClennen “with contributions from the Getting Smart team and numerous friends and partners in the field”

Excerpts:

In this publication, we articulate the critical steps needed to unbundle the learning ecosystem, build core competencies, design learning experiences, curate new opportunities, and rebundle these experiences into coherent pathways.
.

Building the Unbundled Ecosystem

Vision

Every learner deserves an unlimited number of unbundled opportunities to explore, engage, and define experiences that advance their progress along a co-designed educational pathway. Each pathway provides equitable and personalized access to stacked learning experiences leading to post-secondary credentials and secure family-sustaining employment. Throughout the journey, supportive coaches focus on helping learners build skills to navigate with agency. In parallel, learners develop foundational skills (literacy, math), technical skills, and durable skills and connect these to challenging co-designed experiences. The breadth and depth of experiences increase over time, and, in partnership, learners and coaches map progress towards reaching community-defined goals. This vision is only enabled by an unbundled learning ecosystem.

Recommendations

Solutions already exist in the ecosystem and need to be combined and scaled. Funding models (like My Tech High), badging/credentialing at the competency level (like VLACS), coaching models (like Big Thought), and open ecosystems (like NH Learn Everywhere) provide an excellent foundation. Thus, building unbundled systems has already begun but needs systemic changes to become widely available and accepted.

      1. Build a robust competency-based system.
      2. Create a two-way marketplace for unbundled learning.
      3. Implement policy to support credit for out-of-system experiences.
      4. Invest in technology infrastructure for Learning and Employment Records.
      5. Design interoperable badging systems that connect to credentials.
 
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