tools

Microsoft introduces the world to a new category of Windows PCs designed for AI –> Copilot+ PCs

On 05/21/2024, in Artificial Intelligence/Agents/LLMs/and Related, human-computer interaction (HCI), innovation, interaction design, IT in HE, Microsoft, platforms, tools, trends, United States, user experience (UX), user interface design, vendors, by Daniel Christian

Introducing Copilot+ PCs — from blogs.microsoft.com

[On May 20th], at a special event on our new Microsoft campus, we introduced the world to a new category of Windows PCs designed for AI, Copilot+ PCs.

Copilot+ PCs are the fastest, most intelligent Windows PCs ever built. With powerful new silicon capable of an incredible 40+ TOPS (trillion operations per second), all–day battery life and access to the most advanced AI models, Copilot+ PCs will enable you to do things you can’t on any other PC. Easily find and remember what you have seen in your PC with Recall, generate and refine AI images in near real-time directly on the device using Cocreator, and bridge language barriers with Live Captions, translating audio from 40+ languages into English.

From DSC:
As a first off-the-hip look, Recall could be fraught with possible security/privacy-related issues. But what do I know? The Neuron states “Microsoft assures that everything Recall sees remains private.” Ok…

From The Rundown AI concerning the above announcements:

The details:

A new system enables Copilot+ PCs to run AI workloads up to 20x faster and 100x more efficiently than traditional PCs.
Windows 11 has been rearchitected specifically for AI, integrating the Copilot assistant directly into the OS.
New AI experiences include a new feature called Recall, which allows users to search for anything they’ve seen on their screen with natural language.
Copilot’s new screen-sharing feature allows AI to watch, hear, and understand what a user is doing on their computer and answer questions in real-time.
Copilot+ PCs will start at $999, and ship with OpenAI’s latest GPT-4o models.

Why it matters: Tony Stark’s all-powerful JARVIS AI assistant is getting closer to reality every day. Once Copilot, ChatGPT, Project Astra, or anyone else can not only respond but start executing tasks autonomously, things will start getting really exciting — and likely initiate a whole new era of tech work.

AI’s New Conversation Skills Eyed for Education [Coffey]

On 05/17/2024, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, bots, colleges, communications, community colleges, digital audio, digital learning, digital video, education technology, emerging technologies, experimentation, faculty, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, law schools, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, Open AI, personalized/customized learning, platforms, student-related, teaching & learning, technologies for your home, tools, United States, universities, user experience (UX), vendors, vision/possibilities, web-based collaboration, by Daniel Christian

AI’s New Conversation Skills Eyed for Education — from insidehighered.com by Lauren Coffey
The latest ChatGPT’s more human-like verbal communication has professors pondering personalized learning, on-demand tutoring and more classroom applications.

ChatGPT’s newest version, GPT-4o ( the “o” standing for “omni,” meaning “all”), has a more realistic voice and quicker verbal response time, both aiming to sound more human. The version, which should be available to free ChatGPT users in coming weeks—a change also hailed by educators—allows people to interrupt it while it speaks, simulates more emotions with its voice and translates languages in real time. It also can understand instructions in text and images and has improved video capabilities.
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Ajjan said she immediately thought the new vocal and video capabilities could allow GPT to serve as a personalized tutor. Personalized learning has been a focus for educators grappling with the looming enrollment cliff and for those pushing for student success.

There’s also the potential for role playing, according to Ajjan. She pointed to mock interviews students could do to prepare for job interviews, or, for example, using GPT to play the role of a buyer to help prepare students in an economics course.

io.google/2024

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How generative AI expands curiosity and understanding with LearnLM — from blog.google
LearnLM is our new family of models fine-tuned for learning, and grounded in educational research to make teaching and learning experiences more active, personal and engaging.

Generative AI is fundamentally changing how we’re approaching learning and education, enabling powerful new ways to support educators and learners. It’s taking curiosity and understanding to the next level — and we’re just at the beginning of how it can help us reimagine learning.

Today we’re introducing LearnLM: our new family of models fine-tuned for learning, based on Gemini.

On YouTube, a conversational AI tool makes it possible to figuratively “raise your hand” while watching academic videos to ask clarifying questions, get helpful explanations or take a quiz on what you’ve been learning. This even works with longer educational videos like lectures or seminars thanks to the Gemini model’s long-context capabilities. These features are already rolling out to select Android users in the U.S.
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Learn About is a new Labs experience that explores how information can turn into understanding by bringing together high-quality content, learning science and chat experiences. Ask a question and it helps guide you through any topic at your own pace — through pictures, videos, webpages and activities — and you can upload files or notes and ask clarifying questions along the way.

Google I/O 2024: An I/O for a new generation — from blog.google

The Gemini era
A year ago on the I/O stage we first shared our plans for Gemini: a frontier model built to be natively multimodal from the beginning, that could reason across text, images, video, code, and more. It marks a big step in turning any input into any output — an “I/O” for a new generation.

In this story:

Google just announced huge Gemini updates, a Sora competitor, AI agents, and more.

The 12 most impressive announcements at Google I/O:

1. Project Astra: An AI agent that can see AND hear what you do live in real-time.pic.twitter.com/sA2YT80O5G

— Rowan Cheung (@rowancheung) May 15, 2024

Daily Digest: Google I/O 2024 – AI search is here. — from bensbites.beehiiv.com
PLUS: It’s got Agents, Video and more. And, Ilya leaves OpenAI

Google is integrating AI into all of its ecosystem: Search, Workspace, Android, etc. In true Google fashion, many features are “coming later this year”. If they ship and perform like the demos, Google will get a serious upper hand over OpenAI/Microsoft.
All of the AI features across Google products will be powered by Gemini 1.5 Pro. It’s Google’s best model and one of the top models. A new Gemini 1.5 Flash model is also launched, which is faster and much cheaper.
Google has ambitious projects in the pipeline. Those include a real-time voice assistant called Astra, a long-form video generator called Veo, plans for end-to-end agents, virtual AI teammates and more.

Google just casually announced Veo, a new rival to OpenAI’s Sora.

It can generate insanely good 1080p video up to 60 seconds.

9 wild examples:

1)pic.twitter.com/rYySaeMRDa

— Proper ? (@ProperPrompter) May 14, 2024

New ways to engage with Gemini for Workspace — from workspace.google.com

Today at Google I/O we’re announcing new, powerful ways to get more done in your personal and professional life with Gemini for Google Workspace. Gemini in the side panel of your favorite Workspace apps is rolling out more broadly and will use the 1.5 Pro model for answering a wider array of questions and providing more insightful responses. We’re also bringing more Gemini capabilities to your Gmail app on mobile, helping you accomplish more on the go. Lastly, we’re showcasing how Gemini will become the connective tissue across multiple applications with AI-powered workflows. And all of this comes fresh on the heels of the innovations and enhancements we announced last month at Google Cloud Next.

Google’s Gemini updates: How Project Astra is powering some of I/O’s big reveals — from techcrunch.com by Kyle Wiggers

Google is improving its AI-powered chatbot Gemini so that it can better understand the world around it — and the people conversing with it.

At the Google I/O 2024 developer conference on Tuesday, the company previewed a new experience in Gemini called Gemini Live, which lets users have “in-depth” voice chats with Gemini on their smartphones. Users can interrupt Gemini while the chatbot’s speaking to ask clarifying questions, and it’ll adapt to their speech patterns in real time. And Gemini can see and respond to users’ surroundings, either via photos or video captured by their smartphones’ cameras.

Generative AI in Search: Let Google do the searching for you — from blog.google
With expanded AI Overviews, more planning and research capabilities, and AI-organized search results, our custom Gemini model can take the legwork out of searching.

The Good, the Bad, & the Unknown of AI [Eaton]

On 05/14/2024, in Artificial Intelligence/Agents/LLMs/and Related, education technology, higher education, human-computer interaction (HCI), ideas, intelligent systems, learning agents, learning ecosystem, Learning Experience Design, the downsides of how people use tech, tools, universities, by Daniel Christian

The Good, the Bad, & the Unknown of AI — from aiedusimplified.substack.com by Lance Eaton
A recent talk at University of Massachusetts, Boston
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…the text, slides, and prompt-guide can be found in this resource.

A major step towards much more natural human-computer interaction: OpenAI introduces GPT-4o

On 05/14/2024, in 24x7x365 access, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, assistive technologies, bots, digital audio, digital learning, digital video, education, education technology, emerging technologies, Emotion, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, informal learning, innovation, instructional design, intelligent systems, intelligent tutoring, interaction design, interactivity, IT in HE, K-12 related, languages and translation, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning preferences, liberal arts, lifelong learning, mathematics, multimedia, Natural Language Processing (NLP), online tutoring, Open AI, personalized/customized learning, platforms, productivity / tips and tricks, smart classrooms, smart/connected TV, student-related, technologies for your home, television, tools, United States, universities, usability, user experience (UX), user interface design, vendors, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

Hello GPT-4o — from openai.com
We’re announcing GPT-4o, our new flagship model that can reason across audio, vision, and text in real time.

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GPT-4o (“o” for “omni”) is a step towards much more natural human-computer interaction—it accepts as input any combination of text, audio, image, and video and generates any combination of text, audio, and image outputs. It can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds, which is similar to human response time in a conversation. It matches GPT-4 Turbo performance on text in English and code, with significant improvement on text in non-English languages, while also being much faster and 50% cheaper in the API. GPT-4o is especially better at vision and audio understanding compared to existing models.

Example topics covered here:

Two GPT-4os interacting and singing
Languages/translation
Personalized math tutor
Meeting AI
Harmonizing and creating music
Providing inflection, emotions, and a human-like voice
Understanding what the camera is looking at and integrating it into the AI’s responses
Providing customer service

With GPT-4o, we trained a single new model end-to-end across text, vision, and audio, meaning that all inputs and outputs are processed by the same neural network. Because GPT-4o is our first model combining all of these modalities, we are still just scratching the surface of exploring what the model can do and its limitations.

This demo is insane.

A student shares their iPad screen with the new ChatGPT + GPT-4o, and the AI speaks with them and helps them learn in *realtime*.

Imagine giving this to every student in the world.

The future is so, so bright. pic.twitter.com/t14M4fDjwV

— Mckay Wrigley (@mckaywrigley) May 13, 2024

From DSC:
I like the assistive tech angle here:

GPT-4o as tested by @BeMyEyes: pic.twitter.com/WeAoVmxUFH

— Greg Brockman (@gdb) May 14, 2024

It’s been less than 24 hours since the OpenAI changed the world with GPT-4o announcement.

And the Internet is a flooded with demo videos.

Here’re the 10 most jaw-dropping examples so far (Don’t miss the 6th one) pic.twitter.com/sLx1D1YSqb

— Poonam Soni (@CodeByPoonam) May 14, 2024

Microsoft’s new ChatGPT competitor… — from The Rundown AI

The Rundown: Microsoft is reportedly developing a massive 500B parameter in-house LLM called MAI-1, aiming to compete with top AI models from OpenAI, Anthropic, and Google.

2024 | The AI Founder Report | Business Impact, Use cases, & Tools — from Hampton; via The Neuron

Hampton runs a private community for high-growth tech founders and CEOs. We asked our community of founders and owners how AI has impacted their business and what tools they use

Here’s a sneak peek of what’s inside:

The budgets they set aside for AI research and development
The most common (and obscure) tools founders are using
Measurable business impacts founders have seen through using AI
Where they are purposefully not using AI and much more

2024 Work Trend Index Annual Report from Microsoft and LinkedIn
AI at Work Is Here. Now Comes the Hard Part Employees want AI, leaders are looking for a path forward.

Also relevant, see Microsoft’s web page on this effort:

To help leaders and organizations overcome AI inertia, Microsoft and LinkedIn looked at how AI will reshape work and the labor market broadly, surveying 31,000 people across 31 countries, identifying labor and hiring trends from LinkedIn, and analyzing trillions of Microsoft 365 productivity signals as well as research with Fortune 500 customers. The data points to insights every leader and professional needs to know—and actions they can take—when it comes to AI’s implications for work.

AI-based apps starting to remember more about us — in learning-related apps, that’s a good thing!

On 05/03/2024, in Artificial Intelligence/Agents/LLMs/and Related, colleges, community colleges, education technology, emerging technologies, future, future of higher education, game-changing environment, higher education, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, library / librarians, memory, online tutoring, Open AI, personalized/customized learning, platforms, teaching & learning, technologies for your home, tools, United States, universities, vendors, by Daniel Christian

ChatGPT remembers who you are — from thebrainyacts.beehiiv.com |Brainyacts #191

OpenAI rolls out Memory feature for ChatGPT
OpenAI has introduced a cool update for ChatGPT (rolling out to paid and free users – but not in the EU or Korea), enabling the AI to remember user-specific details across sessions. This memory feature enhances personalization and efficiency, making your interactions with ChatGPT more relevant and engaging.

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Key Features

Automatic Memory Tracking
- ChatGPT now automatically records information from your interactions such as preferences, interests, and plans. This allows the AI to refine its responses over time, making each conversation increasingly tailored to you.
Enhanced Personalization
- The more you interact with ChatGPT, the better it understands your needs and adapts its responses accordingly. This personalization improves the relevance and efficiency of your interactions, whether you’re asking for daily tasks or discussing complex topics.
Memory Management Options
- You have full control over this feature. You can view what information is stored, toggle the memory on or off, and delete specific data or all memory entries, ensuring your privacy and preferences are respected.

Memory is now available to all ChatGPT Plus users. Using Memory is easy: just start a new chat and tell ChatGPT anything you’d like it to remember.

Memory can be turned on or off in settings and is not currently available in Europe or Korea. Team, Enterprise, and GPTs to come. pic.twitter.com/mlt9vyYeMK

— OpenAI (@OpenAI) April 29, 2024

From DSC:
The ability of AI-based applications to remember things about us will have major and positive ramifications for us when we think about learning-related applications of AI.

Shares of two big online education stocks tank more than 10% as students use ChatGPT — from cnbc.com by Michelle Fox; via Robert Gibson on LinkedIn

The rapid rise of artificial intelligence appears to be taking a toll on the shares of online education companies Chegg and Coursera.

Both stocks sank by more than 10% on Tuesday after issuing disappointing guidance in part because of students using AI tools such as ChatGPT from OpenAI.

“Combining AI Literacy with Core Humanities Learning Goals: Practical, Critical, and Playful Approaches”
It was amazing to get to do an in-person keynote at @csunorthridge‘s AI Pedagogy Showcase.
Sharing slides: https://t.co/LDIGAZ3ORO 1/2

— Anna Mills, annamillsoer.bsky.social, she/her (@AnnaRMills) May 3, 2024

Synthetic Video & AI Professors — from drphilippahardman.substack.com by Dr. Philippa Hardman
Are we witnessing the emergence of a new, post-AI model of async online learning?

TLDR: by effectively tailoring the learning experience to the learner’s comprehension levels and preferred learning modes, AI can enhance the overall learning experience, leading to increased “stickiness” and higher rates of performance in assessments.
…
TLDR: AI enables us to scale responsive, personalised “always on” feedback and support in a way that might help to solve one of the most wicked problems of online async learning – isolation and, as a result, disengagement.
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In the last year we have also seen the rise of an unprecedented number of “always on” AI tutors, built to provide coaching and feedback how and when learners need it.

Perhaps the most well-known example is Khan Academy’s Khanmigo and its GPT sidekick Tutor Me. We’re also seeing similar tools emerge in K12 and Higher Ed where AI is being used to extend the support and feedback provided for students beyond the physical classroom.

Our Guidance on School AI Guidance document has been updated — from stefanbauschard.substack.com by Stefan Bauschard

We’ve updated the free 72-page document we wrote to help schools design their own AI guidance policies.

There are a few key updates.

Inclusion of Oklahoma and significant updates from North Carolina and Washington.
More specifics on implementation — thanks NC and WA!
A bit more on instructional redesign. Thanks to NC for getting this party started!

Creating a Culture Around AI: Thoughts and Decision-Making — from er.educause.edu by Courtney Plotts and Lorna Gonzalez

Given the potential ramifications of artificial intelligence (AI) diffusion on matters of diversity, equity, inclusion, and accessibility, now is the time for higher education institutions to adopt culturally aware, analytical decision-making processes, policies, and practices around AI tools selection and use.

The Digital Transformation Journey: Lessons For Lawyers Embracing AI — from abovethelaw.com by Olga V. Mack
The journey from the days of leather-bound law books to the digital age — and now toward an AI-driven future — offers valuable lessons for embracing change.

No One Will Miss The ‘Good Old Days’
I have yet to meet a lawyer nostalgic for the days of manually updating law reports or sifting through stacks of books for a single precedent. The convenience, speed, and breadth of digital research tools have made the practice of law more efficient and effective. As we move further into the AI era, the enhancements in predictive analytics, document automation, and legal research will make the “good old days” of even the early digital age seem quaint. The efficiencies and capabilities AI brings to the table are likely to become just as indispensable as online databases are today.

The Way We ‘Law’ Will Change For The Better
The ultimate goal of integrating AI into legal practice isn’t just to replace old methods with new ones; it’s to enhance our ability to serve justice, increase access to legal services, and improve the quality of our work. AI promises to automate mundane tasks, predict legal outcomes with greater accuracy, and unearth insights from vast data. These advancements will free us to focus more on the nuanced, human aspects of law — strategy, empathy, and ethical judgment.

AI to Help Double Legal Tech Market Over Five Years, Gartner Says — from news.bloomberglaw.com by Isabel Gottlieb (behind a paywall)

Tech to take up a bigger share of in-house legal spend
Generative AI boom has much longer to run

The legal tech market will expand to $50 billion by 2027, driven by the generative artificial intelligence boom, according to an analysis by market research firm Gartner Inc.

That growth, up from about $23 billion in 2022, will be driven by continued law firm spending on AI legal tech, as well as in-house departments allocating more of their overall budgets to technology, said Chris Audet, chief of research in Gartner’s legal, risk and compliance leaders practice. The market size prediction, released publicly on Thursday, comes from a late-2023 analysis for Gartner clients, and the 2022 market size comes from …

Legal Tech Market To See Huge Lift Off Thanks to GenAI — from digit.fyi by Elizabeth Greenberg

The global legal technology market has grown significantly in recent years and generative AI (GenAI) will accelerate this growth, meaning the market will reach $50 billion in value by 2027, according to Gartner.

“GenAI has huge potential for bringing more automation to the legal space,” said Chris Audet, chief of research in the Gartner for legal, risk & compliance leaders practice.

“Rapid GenAI developments, and the widespread availability of consumer tools such as OpenAI’s ChatGPT and Google’s Bard, will quickly increase the number of established legal technology use cases, in turn creating growing market conditions for an increasing number of legal-focused tools.”

“New technologies can fundamentally change the way legal organizations do business, and GenAI has enormous potential to do this,” an analyst at Gartner said.

Revolutionizing Legal Tech in 48 Hours — from law.stanford.edu by Monica Schreiber
At CodeX Hackathon, SLS Students Help Create Award-Winning AI Tools to Help Veterans and Streamline M&A

Disabled veterans seeking to file claims with the Veterans Administration are faced with multiple hurdles and reams of paperwork. Many vets resort to paying third-party companies thousands of dollars to help them with the process.

What if there were a way to streamline the claims process—to condense burdensome information gathering and data inputting into a linear, simplified set of tasks guided by a chatbot? How long would it take to roll out a tool that could accomplish that?

The answer: about 48 hours—at least for an interdisciplinary team of students from Stanford University’s schools of Law, Business, and Computer Science collaborating feverishly during Codex’s Large Language Model (LLM) Hackathon held recently on campus.

What If Your Law Firm Had A Blank Page For Legal Tech? — from artificiallawyer.com

f law firms had a blank page for legal technology and innovation, what would they do?

While organisations across all sectors are getting to grips with the opportunities and risks posed by genAI, forward-thinking law firm leaders are considering what it means for their businesses – today, tomorrow, and the day after tomorrow.

But some firms remain constrained by yesterday, due to legacy processes, ways of working and mindsets. To create the conditions for change, firms need to adopt a ‘blank page’ approach and review all areas of their businesses by asking: if we were starting afresh, how would we design the organisation to future-proof it to achieve transformative growth with genAI at the core?

From DSC:
This sentence reminds me of the power of culture:

But some firms remain constrained by yesterday, due to legacy processes, ways of working and mindsets.

Fresh Voices on Legal Tech with Sarah Glassmeyer — from legaltalknetwork.com by Dennis Kennedy, Tom Mighell, and Sarah Glassmeyer

What if, instead of tech competence being this scary, overwhelming thing, we showed lawyers how to engage with technology in a more lighthearted, even playful, way? The reality is—tech competency doesn’t have an endpoint, but the process of continuous learning shouldn’t be dull and confusing. Sarah Glassmeyer joins Dennis and Tom to talk about her perspectives on technology education for attorneys, the latest trends in the legal tech world and new AI developments, and growing your knowledge of technology by building on small skills, one at a time.
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How Legal Technology Can Add Value to an M&A Practice — from lexology.com

Following is a primer on some of the A.I.-driven legal technologies, from contract review and automated due-diligence solutions to deal collaboration and closing-management tools, that can drive productivity and efficiency during the four phases of an M&A transaction, as well as enhance market insight and client service.

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Smart(er) Glasses: Introducing New Ray-Ban | Meta Styles + Expanding Access to Meta AI with Vision

On 04/29/2024, in A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, content development, aggregation, repositories, corporate / business world, digital audio, digital video, Facebook / Meta Platforms, platforms, productivity / tips and tricks, tools, universities, usability, user experience (UX), vendors, videoconferencing, voice recognition / voice enabled interfaces, wearables, by Daniel Christian

Smart(er) Glasses: Introducing New Ray-Ban | Meta Styles + Expanding Access to Meta AI with Vision — from meta.com

Share Your View on a Video Call
Meta AI Makes Your Smart Glasses Smarter
All In On AI-Powered Hardware

New Ray-Ban | Meta Smart Glasses Styles and Meta AI Updates — from about.fb.com

Takeaways

We’re expanding the Ray-Ban Meta smart glasses collection with new styles.
We’re adding video calling with WhatsApp and Messenger to share your view on a video call.
We’re rolling out Meta AI with Vision, so you can ask your glasses about what you’re seeing and get helpful information — completely hands-free.

Instructors as Innovators: a Future-focused Approach to New AI Learning Opportunities, With Prompts –from papers.ssrn.com by Ethan R. Mollick and Lilach Mollick

Abstract

This paper explores how instructors can leverage generative AI to create personalized learning experiences for students that transform teaching and learning. We present a range of AI-based exercises that enable novel forms of practice and application including simulations, mentoring, coaching, and co-creation. For each type of exercise, we provide prompts that instructors can customize, along with guidance on classroom implementation, assessment, and risks to consider. We also provide blueprints, prompts that help instructors create their own original prompts. Instructors can leverage their content and pedagogical expertise to design these experiences, putting them in the role of builders and innovators. We argue that this instructor-driven approach has the potential to democratize the development of educational technology by enabling individual instructors to create AI exercises and tools tailored to their students’ needs. While the exercises in this paper are a starting point, not a definitive solutions, they demonstrate AI’s potential to expand what is possible in teaching and learning.

“The AI Tools in Education Database” + other items re: AI in our learning ecosystems

On 04/23/2024, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, assessment, colleges, communications, community colleges, content development, aggregation, repositories, education, education reform, education technology, emerging technologies, engagement / engaging students, experimentation, face-to-face, faculty, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learner profiles, learning, learning ecosystem, Learning Experience Design, lifelong learning, mathematics, more voice more choice more control, motivation, pedagogy, project-based learning, reinvent, skills, student-related, teachers, tools, United States, universities, vendors, youth, by Daniel Christian

The AI Tools in Education Database — from aitoolsdirectory.notion.site; via George Siemens

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.

Another Workshop for Faculty and Staff — from aiedusimplified.substack.com by Lance Eaton
A recent workshop with some adjustments.

The day started out with a short talk about AI (slides). Some of it is my usual schtick where I do a bit of Q&A with folks around myths and misunderstandings of generative AI in order to establish some common ground. These are often useful both in setting the tone and giving folks a sense of how I come to explore generative AI: with a mixture of humor, concern, curiosity, and of course, cat pics.

From there, we launched into a series of mini-workshops where folks had time to first play around with some previously created prompts around teaching and learning before moving onto prompts for administrative work. The prompts and other support materials are in this Workshop Resource Document. The goal was to just get them into using one or more AI tools with some useful prompts so they can learn more about its capabilities.

The Edtech Insiders Rundown of ASU+GSV 2024 — from edtechinsiders.substack.com by by Sarah Morin, Alex Sarlin, and Ben Kornell
And more on Edtech Insiders+, upcoming events, Gauth, AI Reading Tutors, The Artificial Intelligence Interdisciplinary Institute, and TeachAI Policy Resources

Alex Sarlin

4. Everyone is Edtech Now
This year, in addition to investors, entrepreneurs, educators, school leaders, university admins, non-profits, publishers, and operators from countless edtech startups and incumbents, there were some serious big tech companies in attendance like Meta, Google, OpenAI, Microsoft, Amazon, Tiktok, and Canva. Additionally, a horde of management consultancies, workforce organizations, mental health orgs, and filmmakers were in attendance.

Edtech continues to expand as an industry category and everyone is getting involved.

Ep 18 | Rethinking Education, Lessons to Unlearn, Become a Generalist, & More — Ana Lorena Fábrega — from mishadavinci.substack.com by Misha da Vinci

It was such a delight to chat with Ana. She’s brilliant and passionate, a talented educator, and an advocate for better ways of learning for children and adults. We cover ways to transform schools so that students get real-world skills, learn resilience and how to embrace challenges, and are prepared for an unpredictable future. And we go hard on why we must keep learning no matter our age, become generalists, and leverage technology in order to adapt to the fast-changing world.

Misha also featured an item re: the future of schooling and it contained this graphic:

Texas is replacing thousands of human exam graders with AI — from theverge.com by Jess Weatherbed

The Texas Tribune reports an “automated scoring engine” that utilizes natural language processing — the technology that enables chatbots like OpenAI’s ChatGPT to understand and communicate with users — is being rolled out by the Texas Education Agency (TEA) to grade open-ended questions on the State of Texas Assessments of Academic Readiness (STAAR) exams. The agency is expecting the system to save $15–20 million per year by reducing the need for temporary human scorers, with plans to hire under 2,000 graders this year compared to the 6,000 required in 2023.

Debating About AI: An Easy Path to AI Awareness and Basic Literacy — from stefanbauschard.substack.com by Stefan Bauschard
If you are an organization committed to AI literacy, consider sponsoring some debate topics and/or debates next year and expose thousands of students to AI literacy.

Resolved: Teachers should integrate generative AI in their teaching and learning.

The topic is simple but raises an issue that students can connect with.

While helping my students prepare and judging debates, I saw students demonstrate an understanding of many key issues and controversies.

These included—

*AI writing assessment/grading
*Bias
*Bullying
*Cognitive load
*Costs of AI systems
*Declining test scores
*Deep fakes
*Differentiation
*Energy consumption
*Hallucinations
*Human-to-human connection
*Inequality and inequity in access
*Neurodiversity
*Personalized learning
*Privacy
*Regulation (lack thereof)
*The future of work and unemployment
*Saving teachers time
*Soft skills
*Standardized testing
*Student engagement
*Teacher awareness and AI training; training resource trade-offs
*Teacher crowd-out
*Transparency and explainability
*Writing detectors (students had an exaggerated sense of the workability of these tools).

Learning Ecosystems

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