instructional design

“AI Tutors Double Rates of Learning in Less Learning Time” [Hardman] + other items re: AI in our learning ecosystems

On 11/01/2024, in Artificial Intelligence/Agents/LLMs/and Related, CMS/LMS, colleges, community colleges, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, experimentation, faculty/staff, future, future of higher education, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, platforms, podcasting, United States, universities, vendors, by Daniel Christian

AI Tutors Double Rates of Learning in Less Learning Time — by drphilippahardman.substack.com Dr. Philippa Hardman
Inside Harvard’s new groundbreaking study

Conclusion
This Harvard study provides robust evidence that AI tutoring, when thoughtfully designed, can significantly enhance learning outcomes. The combination of doubled learning gains, increased engagement, and reduced time to competency suggests we’re seeing just the beginning of AI’s potential in education and that its potential is significant.

If this data is anything to go by, and if we – as humans – are open and willing to acting on it, it’s possible AI will have a significant and for some deeply positive impact on how we design and deliver learning experiences.

That said, as we look forward, the question shouldn’t just be, “how AI can enhance current educational methods?”, but also “how it might AI transform the very nature of learning itself?”. With continued research and careful implementation, we could be moving toward an era of education that’s more effective but also more accessible than ever before.

Three Quick Examples of Teaching with and about Generative AI — from derekbruff.org Derek Bruff

Text-to-Podcast.
Assigning Students to Groups.
AI Acceptable Use Scale.

Also from Derek’s blog, see:

From Mike Sharples on LinkedIn:

ChatGPT’s free voice wizard — from wondertools.substack.com by Jeremy Caplan
How and why to try the new Advanced Voice Mode

7 surprisingly practical ways to use voice AI
Opening up ChatGPT’s Advanced Voice Mode (AVM) is like conjuring a tutor eager to help with whatever simple — or crazy — query you throw at it. Talking is more fluid and engaging than typing, especially if you’re out and about. It’s not a substitute for human expertise, but AVM provides valuable machine intelligence.

Get a virtual museum tour. …
Chat with historical figures….
Practice languages. …
Explore books. …
Others…

Though not AI-related, this is along the lines of edtech:

MoodleMoot Global 24 Conference Notes — from onedtech.philhillaa.com by Glenda Morgan
A first look at Moodle under new leadership

Here’s the link to access it: https://t.co/kHq0S2r4aD

It’s only available in the US at the moment, but it works with a VPN.

Truly the best tool for learning a new subject I’ve tried so far.

— Paul Couvert (@itsPaulAi) October 31, 2024

…which links to:

Next-Generation Durable Skills Assessment [McClennen]

On 10/29/2024, in Artificial Intelligence/Agents/LLMs/and Related, assessment, innovation, instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, simulations, skills, student-related, teachers, United States, Virtual Reality (VR) / worlds / learning, XR - extended reality, by Daniel Christian

Next-Generation Durable Skills Assessment — from gettingsmart.com by Nate McClennen

Key Points

Emphasizing the use of AI, VR, and simulation games, the methods in this article enhance the evaluation of durable skills, making them more accessible and practical for real-world applications.
The integration of educational frameworks and workplace initiatives highlights the importance of partnerships in developing reliable systems for assessing transferable skills.

Half of Higher Ed Institutions Now Use AI for Outcomes Tracking, But Most Lag in Implementing Comprehensive Learner Records — from prnewswire.com; via GSV

SALT LAKE CITY, Oct. 22, 2024 /PRNewswire/ — Instructure, the leading learning ecosystem and UPCEA, the online and professional education association, announced the results of a survey on whether institutions are leveraging AI to improve learner outcomes and manage records, along with the specific ways these tools are being utilized. Overall, the study revealed interest in the potential of these technologies is far outpacing adoption. Most respondents are heavily involved in developing learner experiences and tracking outcomes, though nearly half report their institutions have yet to adopt AI-driven tools for these purposes. The research also found that only three percent of institutions have implemented Comprehensive Learner Records (CLRs), which provide a complete overview of an individual’s lifelong learning experiences.

New Survey Says U.S. Teachers Colleges Lag on AI Training. Here are 4 Takeaways — from the74million.org by ; via GSV
Most preservice teachers’ programs lack policies on using AI, CRPE finds, and are likely unready to teach future educators about the field.

In the nearly two years since generative artificial intelligence burst into public consciousness, U.S. schools of education have not kept pace with the rapid changes in the field, a new report suggests.

Only a handful of teacher training programs are moving quickly enough to equip new K-12 teachers with a grasp of AI fundamentals — and fewer still are helping future teachers grapple with larger issues of ethics and what students need to know to thrive in an economy dominated by the technology.

The report, from the Center on Reinventing Public Education, a think tank at Arizona State University, tapped leaders at more than 500 U.S. education schools, asking how their faculty and preservice teachers are learning about AI. Through surveys and interviews, researchers found that just one in four institutions now incorporates training on innovative teaching methods that use AI. Most lack policies on using AI tools, suggesting that they probably won’t be ready to teach future educators about the intricacies of the field anytime soon.

It is bonkers that I can write out all my life goals on a sheet of paper, take a photo of it, and just ask Claude or ChatGPT for help.

I get a complete plan, milestones, KPIs, motivation, and even action support to get there.

Less than 5% of the world uses the SOTA AI…

— Allie K. Miller (@alliekmiller) October 21, 2024

The 5 Secret Hats Teachers are Wearing Right Now (Thanks to AI!) — from aliciabankhofer.substack.com by Alicia Bankhofer
New, unanticipated roles for educators sitting in the same boat

As beta testers, we’re shaping the tools of tomorrow. As researchers, we’re pioneering new pedagogical approaches. As ethical guardians, we’re ensuring that AI enhances rather than compromises the educational experience. As curators, we’re guiding students through the wealth of information AI provides. And as learners ourselves, we’re staying at the forefront of educational innovation.

Are ChatGPT, Claude & NotebookLM *Really* Disrupting Education? — from drphilippahardman.substack.com
Evaluating Gen AI’s *real* impact on human learning

The TLDR here is that, as useful as popular AI tools are for learners, as things stand they only enable us to take the very first steps on what is a long and complex journey of learning.

AI tools like ChatGPT 4o, Claude 3.5 & NotebookLM can help to give us access to information but (for now at least) the real work of learning remains in our – the humans’ – hands.

To which Anna Mills had a solid comment:

It might make a lot of sense to regulate generated audio to require some kind of watermark and/or metadata. Instructors who teach online and assign voice recordings, we need to recognize that these are now very easy and free to auto-generate. In some cases we are assigning this to discourage students from using AI to just autogenerate text responses, but audio is not immune.

Norway law decrees: Let childhood be childhood — from hechingerreport.org by Jackie Mader
In the Scandinavian country, early childhood education is a national priority, enshrined in law

Ullmann’s conclusion embodies one of Norway’s goals for its citizens: to build a nation of thriving adults by providing childhoods that are joyful, secure and inclusive. Perhaps nowhere is this belief manifested more clearly than in the nation’s approach to early child care. (In Norway, all education for children 5 and under is referred to as “barnehagen,” the local translation of “kindergarten.”) To an American, the Norwegian philosophy, both in policy and in practice, could feel alien. The government’s view isn’t that child care is a place to put children so parents can work, or even to prepare children for the rigors of elementary school. It’s about protecting childhood.

“A really important pillar of Norway’s early ed philosophy is the value of childhood in itself,” said Henrik D. Zachrisson, a professor at the Centre for Research on Equality in Education at the University of Oslo. “Early ed is supposed to be a place where children can be children and have the best childhood possible.”

10 ChatGPT prompts to extract everything from a book: pic.twitter.com/zzn4NrWu4l

— Farhan (@mhdfaran) October 12, 2024

Articulate AI & the “Buttonification” of Instructional Design — from drphilippahardman.substack.com by Dr. Philippa Hardman
A new trend in AI-UX, and its implications for Instructional Design

1. Using AI to Scale Exceptional Instructional Design Practice
Imagine a bonification system that doesn’t just automate tasks, but scales best practices in instructional design:

Evidence-Based Design Button…
Learner-Centered Objectives Generator…
Engagement Optimiser…

2. Surfacing AI’s Instructional Design Thinking
Instead of hiding AI’s decision-making process, what if we built an AI system which invites instructional designers to probe, question, and learn from an expert trained AI?

Explain This Design…
Show Me Alternatives…
Challenge My Assumptions…
Learning Science Insights…

By reimagining the role of AI in this way, we would…

Recapping OpenAI’s Education Forum — from marcwatkins.substack.com by Marc Watkins

OpenAI’s Education Forum was eye-opening for a number of reasons, but the one that stood out the most was Leah Belsky acknowledging what many of us in education had known for nearly two years—the majority of the active weekly users of ChatGPT are students. OpenAI has internal analytics that track upticks in usage during the fall and then drops off in the spring. Later that evening, OpenAI’s new CFO, Sarah Friar, further drove the point home with an anecdote about usage in the Philippines jumping nearly 90% at the start of the school year.

I had hoped to gain greater insight into OpenAI’s business model and how it related to education, but the Forum left me with more questions than answers. What app has the majority of users active 8 to 9 months out of the year and dormant for the holidays and summer breaks? What business model gives away free access and only converts 1 out of every 20-25 users to paid users? These were the initial thoughts that I hoped the Forum would address. But those questions, along with some deeper and arguably more critical ones, were skimmed over to drive home the main message of the Forum—Universities have to rapidly adopt AI and become AI-enabled institutions.

Off-Loading in the Age of Generative AI — from insidehighered.com by James DeVaney

As we embrace these technologies, we must also consider the experiences we need to discover and maintain our connections—and our humanity. In a world increasingly shaped by AI, I find myself asking: What are the experiences that define us, and how do they influence the relationships we build, both professionally and personally?

This concept of “off-loading” has become central to my thinking. In simple terms, off-loading is the act of delegating tasks to AI that we would otherwise do ourselves. As AI systems advance, we’re increasingly confronted with a question: Which tasks should we off-load to AI?

Students need clarity on their postsecondary pathways — from eschoolnews.com by Laura Ascione
When it comes to planning for life after high school, a lack of career exposure is hindering many students’ abilities to envision a future

Key points:

Students require guidance and career exposure to plan for the future
The exposure gap is blocking students’ ability to envision future careers
3 online resources to encourage student career planning
For more news on career readiness, visit eSN’s Innovative Teaching hub

Much emphasis is placed on college and career readiness, but too often, K-12 students aren’t exposed to career possibilities or career resources to form an idea of what their future may look like.

The Tutoring Revolution [Korbey]

On 10/11/2024, in 21st century, 24x7x365 access, Bias | Diversity Equity & Inclusion (DE&I), cloud-based computing / apps / other cloud-related, digital learning, education, education technology, emerging technologies, future, game-changing environment, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, languages and translation, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, online learning, online media, personalized/customized learning, platforms, ubiquitous learning, United States, user experience (UX), vendors, virtual tutoring, vision/possibilities, youth, by Daniel Christian

The Tutoring Revolution — from educationnext.org by Holly Korbey
More families are seeking one-on-one help for their kids. What does that tell us about 21st-century education?

Recent research suggests that the number of students seeking help with academics is growing, and that over the last couple of decades, more families have been turning to tutoring for that help.
…

What the Future Holds
Digital tech has made private tutoring more accessible, more efficient, and more affordable. Students whose families can’t afford to pay $75 an hour at an in-person center can now log on from home to access a variety of online tutors, including Outschool, Wyzant, and Anchorbridge, and often find someone who can cater to their specific skills and needs—someone who can offer help in French to a student with ADHD, for example. Online tutoring is less expensive than in-person programs. Khan Academy’s Khanmigo chatbot can be a student’s virtual AI tutor, no Zoom meeting required, for $4 a month, and nonprofits like Learn to Be work with homeless shelters and community centers to give virtual reading and math tutoring free to kids who can’t afford it and often might need it the most.

Duolingo Introduces AI-Powered Innovations at Duocon 2024 + an AI-based reading coach

On 10/05/2024, in 21st century, 24x7x365 access, corporate / business world, corporate universities / corporate training, education, education technology, emerging technologies, engagement / engaging students, experimentation, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, languages and translation, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, learning spaces, lifelong learning, multimedia, Natural Language Processing (NLP), online learning, online media, online tutoring, personalized/customized learning, platforms, reading, skills, student-related, tools, United States, usability, user experience (UX), user interface design, vendors, videoconferencing, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, voice recognition / voice enabled interfaces, writing, by Daniel Christian

Duolingo Introduces AI-Powered Innovations at Duocon 2024 — from investors.duolingo.com; via Claire Zau

Duolingo’s new Video Call feature represents a leap forward in language practice for learners. This AI-powered tool allows Duolingo Max subscribers to engage in spontaneous, realistic conversations with Lily, one of Duolingo’s most popular characters. The technology behind Video Call is designed to simulate natural dialogue and provides a personalized, interactive practice environment. Even beginner learners can converse in a low-pressure environment because Video Call is designed to adapt to their skill level. By offering learners the opportunity to converse in real-time, Video Call builds the confidence needed to communicate effectively in real-world situations. Video Call is available for Duolingo Max subscribers learning English, Spanish, and French.

And here’s another AI-based learning item:

AI reading coach startup Ello now lets kids create their own stories — from techcrunch.com by Lauren Forristal; via Claire Zau

Ello, the AI reading companion that aims to support kids struggling to read, launched a new product on Monday that allows kids to participate in the story-creation process.

Called “Storytime,” the new AI-powered feature helps kids generate personalized stories by picking from a selection of settings, characters, and plots. For instance, a story about a hamster named Greg who performed in a talent show in outer space.

Workera’s CEO was mentored by Andrew Ng. Now he wants an AI agent to mentor you. [Zeff]

On 10/05/2024, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, career development, cloud-based computing / apps / other cloud-related, curriculum, Daniel S. Christian, emerging technologies, future, game-changing environment, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, new business models, online learning, online media, online tutoring, personalized/customized learning, platforms, reinvent, skills, staying relevant, tools, training / L&D, United States, vendors, workplace, by Daniel Christian

Workera’s CEO was mentored by Andrew Ng. Now he wants an AI agent to mentor you. — from techcrunch.com by Maxwell Zeff; via Claire Zau

On Tuesday, Workera announced Sage, an AI agent you can talk with that’s designed to assess an employee’s skill level, goals, and needs. After taking some short tests, Workera claims Sage will accurately gauge how proficient someone is at a certain skill. Then, Sage can recommend the appropriate online courses through Coursera, Workday, or other learning platform partners. Through chatting with Sage, Workera is designed to meet employees where they are, testing their skills in writing, machine learning, or math, and giving them a path to improve.

From DSC:
This is very much akin to what I’ve been trying to get at with my Learning from the Living [AI-Based Class] Room vision. And as learning agents come onto the scene, this type of vision should take off!

Voice and Trust in Autonomous Learning Experiences [Brandon]

On 10/05/2024, in Artificial Intelligence/Agents/LLMs/and Related, bots, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Emotion, engagement / engaging students, instructional design, intelligent systems, interaction design, interactivity, productivity / tips and tricks, training / L&D, by Daniel Christian

Voice and Trust in Autonomous Learning Experiences — from learningguild.com by Bill Brandon

This article seeks to apply some lessons from brand management to learning design at a high level. Throughout the rest of this article, it is essential to remember that the context is an autonomous, interactive learning experience. The experience is created adaptively by Gen AI or (soon enough) by agents, not by rigid scripts. It may be that an AI will choose to present prewritten texts or prerecorded videos from a content library according to the human users’ responses or questions. Still, the overall experience will be different for each user. It will be more like a conversation than a book.
…
In summary, while AI chatbots have the potential to enhance learning experiences, their acceptance and effectiveness depend on several factors, including perceived usefulness, ease of use, trust, relational factors, perceived risk, and enjoyment.

Personalization and building trust are essential for maintaining user engagement and achieving positive learning outcomes. The right “voice” for autonomous AI or a chatbot can enhance trust by making interactions more personal, consistent, and empathetic.

Helping Neurodiverse Students Learn Through New Classroom Design — from insidehighered.com by Michael Tyre
Michael Tyre offers some insights into how architects and administrators can work together to create better learning environments for everyone.

We emerged with two guiding principles. First, we had learned that certain environments—in particular, those that cause sensory distraction—can more significantly impact neurodivergent users. Therefore, our design should diminish distractions by mitigating, when possible, noise, visual contrast, reflective surfaces and crowds. Second, we understood that we needed a design that gave neurodivergent users the agency of choice.

The importance of those two factors—a dearth of distraction and an abundance of choice—was bolstered in early workshops with the classroom committee and other stakeholders, which occurred at the same time we were conducting our research. Some things didn’t come up in our research but were made quite clear in our conversations with faculty members, students from the neurodivergent community and other stakeholders. That feedback greatly influenced the design of the Young Classroom.

We ended up blending the two concepts. The main academic space utilizes traditional tables and chairs, albeit in a variety of heights and sizes, while the peripheral classroom spaces use an array of less traditional seating and table configurations, similar to the radical approach.

On a somewhat related note, also see:

Unpacking Fingerprint Culture — from marymyatt.substack.com by Mary Myatt

This post summarises a fascinating webinar I had with Rachel Higginson discussing the elements of building belonging in our settings.

We know that belonging is important and one of the ways to make this explicit in our settings is to consider what it takes to cultivate an inclusive environment where each individual feels valued and understood.

Rachel has spent several years working with young people, particularly those on the periphery of education to help them back into mainstream education and participating in class, along with their peers.

Rachel’s work helping young people to integrate back into education resulted in schools requesting support and resources to embed inclusion within their settings. As a result, Finding My Voice has evolved into a broader curriculum development framework.

Giving ELA Lessons a Little Edtech Boost — from edutopia.org by Julia Torres
Common activities in English language arts classes such as annotation and note-taking can be improved through technology.

6 ELA Practices That Can Be Enhanced by EdTech

Book clubs.
Collective note-taking.
Comprehension checks.
Video lessons.
..and more

Using Edtech Tools to Differentiate Learning— from edutopia.org by Katie Novak and Mary E. Pettit
Teachers can use tech tools to make it easier to give students choice about their learning, increasing engagement.

3 UDL-Aligned EdTech Tools

Digital audiobook platforms.
Multimedia presentation tools.
Digital annotation tools.

This article….

Artificial Intelligence and Schools: When Tech Makers and Educators Collaborate, AI Doesn’t Have to be Scary — from the74million.org by Edward Montalvo
AI is already showing us how to make education more individualized and equitable.

The XQ Institute shares this mindset as part of our mission to reimagine the high school learning experience so it’s more relevant and engaging for today’s learners, while better preparing them for the future. We see AI as a tool with transformative potential for educators and makers to leverage — but only if it’s developed and implemented with ethics, transparency and equity at the forefront. That’s why we’re building partnerships between educators and AI developers to ensure that products are shaped by the real needs and challenges of students, teachers and schools. Here’s how we believe all stakeholders can embrace the Department’s recommendations through ongoing collaborations with tech leaders, educators and students alike.

…lead me to the XQ Institute, and I very much like what I’m initially seeing! Here are some excerpts from their website:

Transforming high school isn’t easy, but it is possible. ? Educator @nwallacecxh from XQ’s @CrosstownHigh shares real-world strategies to make learning relevant and meaningful. Ready to see how it’s done? ? https://t.co/xD8hkP33TH

— XQ (@XQAmerica) September 26, 2024

“Google’s NotebookLM: A Game-Changer for Education and Beyond” [Spencer & Potkalitsky] + other items re: AI in our LE’s

On 09/25/2024, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, assessment, colleges, communications, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital audio, digital learning, education, education technology, emerging technologies, faculty/staff, future of higher education, game-changing environment, Google, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interaction design, interactivity, IT in HE, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, multimedia, platforms, productivity / tips and tricks, student-related, teachers, teaching & learning, teaching online, technologies for your home, tools, training / L&D, trends, United States, universities, vendors, vision/possibilities, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

FlexOS’ Stay Ahead Edition #43 — from flexos.work

People started discussing what they could do with Notebook LM after Google launched the audio overview, where you can listen to 2 hosts talking in-depth about the documents you upload. Here are what it can do:

Summarization: Automatically generate summaries of uploaded documents, highlighting key topics and suggesting relevant questions.
Question Answering: Users can ask NotebookLM questions about their uploaded documents, and answers will be provided based on the information contained within them.
Idea Generation: NotebookLM can assist with brainstorming and developing new ideas.
Source Grounding: A big plus against AI chatbot hallucination, NotebookLM allows users to ground the responses in specific documents they choose.
…plus several other items

The posting also lists several ideas to try with NotebookLM such as:

Idea 2: Study Companion

Upload all your course materials and ask NotebookLM to turn them into Question-and-Answer format, a glossary, or a study guide.
Get a breakdown of the course materials to understand them better.

Google’s NotebookLM: A Game-Changer for Education and Beyond — from ai-supremacy.com by Michael Spencer and Nick Potkalitsky
AI Tools: Breaking down Google’s latest AI tool and its implications for education.

“Google’s AI note-taking app NotebookLM can now explain complex topics to you out loud”

With more immersive text-to-video and audio products soon available and the rise of apps like Suno AI, how we “experience” Generative AI is also changing from a chatbot of 2 years ago, to a more multi-modal educational journey. The AI tools on the research and curation side are also starting to reflect these advancements.

Meet Google NotebookLM: 10 things to know for educators — from ditchthattextbook.com by Matt Miller

1. Upload a variety of sources for NotebookLM to use.
You can use …

websites
PDF files
links to websites
any text you’ve copied
Google Docs and Slides
even Markdown

You can’t link it to YouTube videos, but you can copy/paste the transcript (and maybe type a little context about the YouTube video before pasting the transcript).

2. Ask it to create resources.
3. Create an audio summary.
4. Chat with your sources.
5. Save (almost) everything.

NotebookLM summarizes my dissertation — from darcynorman.net by D’Arcy Norman, PhD

I finally tried out Google’s newly-announced NotebookLM generative AI application. It provides a set of LLM-powered tools to summarize documents. I fed it my dissertation, and am surprised at how useful the output would be.

The most impressive tool creates a podcast episode, complete with dual hosts in conversation about the document. First – these are AI-generated hosts. Synthetic voices, speaking for synthetic hosts. And holy moly is it effective. Second – although I’d initially thought the conversational summary would be a dumb gimmick, it is surprisingly powerful.

4 Tips for Designing AI-Resistant Assessments — from techlearning.com by Steve Baule and Erin Carter
As AI continues to evolve, instructors must modify their approach by designing meaningful, rigorous assessments.

As instructors work through revising assessments to be resistant to generation by AI tools with little student input, they should consider the following principles:

Incorporate personal experiences and local content into assignments
Ask students for multi-modal deliverables
Assess the developmental benchmarks for assignments and transition assignments further up Bloom’s Taxonomy
Consider real-time and oral assignments

Google CEO Sundar Pichai announces $120M fund for global AI education — from techcrunch.com by Anthony Ha

He added that he wants to avoid a global “AI divide” and that Google is creating a $120 million Global AI Opportunity Fund through which it will “make AI education and training available in communities around the world” in partnership with local nonprofits and NGOs.

Educators discuss the state of creativity in an AI world — from gettingsmart.com by Joe & Kristin Merrill, LaKeshia Brooks, Dominique’ Harbour, Erika Sandstrom

Key Points

AI allows for a more personalized learning experience, enabling students to explore creative ideas without traditional classroom limitations.
The focus of technology integration should be on how the tool is used within lessons, not just the tool itself

Addendum on 9/27/24:

Google’s NotebookLM enhances AI note-taking with YouTube, audio file sources, sharable audio discussions — from techcrunch.com by Jagmeet Singh

Google on Thursday announced new updates to its AI note-taking and research assistant, NotebookLM, allowing users to get summaries of YouTube videos and audio files and even create sharable AI-generated audio discussions…

NotebookLM adds audio and YouTube support, plus easier sharing of Audio Overviews — from blog.google

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