collaboration

Introducing Gemini 2.0: our new AI model for the agentic era — from blog.google by Sundar Pichai, Demis Hassabis, and Koray Kavukcuoglu

Today we’re excited to launch our next era of models built for this new agentic era: introducing Gemini 2.0, our most capable model yet. With new advances in multimodality — like native image and audio output — and native tool use, it will enable us to build new AI agents that bring us closer to our vision of a universal assistant.

We’re getting 2.0 into the hands of developers and trusted testers today. And we’re working quickly to get it into our products, leading with Gemini and Search. Starting today our Gemini 2.0 Flash experimental model will be available to all Gemini users. We’re also launching a new feature called Deep Research, which uses advanced reasoning and long context capabilities to act as a research assistant, exploring complex topics and compiling reports on your behalf. It’s available in Gemini Advanced today.

Over the last year, we have been investing in developing more agentic models, meaning they can understand more about the world around you, think multiple steps ahead, and take action on your behalf, with your supervision.

.

Try Deep Research and our new experimental model in Gemini, your AI assistant — from blog.google by Dave Citron
Deep Research rolls out to Gemini Advanced subscribers today, saving you hours of time. Plus, you can now try out a chat optimized version of 2.0 Flash Experimental in Gemini on the web.

Today, we’re sharing the latest updates to Gemini, your AI assistant, including Deep Research — our new agentic feature in Gemini Advanced — and access to try Gemini 2.0 Flash, our latest experimental model.

Deep Research uses AI to explore complex topics on your behalf and provide you with findings in a comprehensive, easy-to-read report, and is a first look at how Gemini is getting even better at tackling complex tasks to save you time.1

Google Unveils A.I. Agent That Can Use Websites on Its Own — from nytimes.com by Cade Metz and Nico Grant (NOTE: This is a GIFTED article for/to you.)
The experimental tool can browse spreadsheets, shopping sites and other services, before taking action on behalf of the computer user.

Google on Wednesday unveiled a prototype of this technology, which artificial intelligence researchers call an A.I. agent.
…
Google’s new prototype, called Mariner, is based on Gemini 2.0, which the company also unveiled on Wednesday. Gemini is the core technology that underpins many of the company’s A.I. products and research experiments. Versions of the system will power the company’s chatbot of the same name and A.I. Overviews, a Google search tool that directly answers user questions.

Gemini 2.0 is the next chapter for Google AI — from axios.com by Ina Fried

Google Gemini 2.0 — a major upgrade to the core workings of Google’s AI that the company launched Wednesday — is designed to help generative AI move from answering users’ questions to taking action on its own…
…
The big picture: Hassabis said building AI systems that can take action on their own has been DeepMind’s focus since its early days teaching computers to play games such as chess and Go.

“We were always working towards agent-based systems,” Hassabis said. “From the beginning, they were able to plan and then carry out actions and achieve objectives.”
Hassabis said AI systems that can act as semi-autonomous agents also represent an important intermediate step on the path toward artificial general intelligence (AGI) — AI that can match or surpass human capabilities.
“If we think about the path to AGI, then obviously you need a system that can reason, break down problems and carry out actions in the world,” he said.

AI Agents vs. AI Assistants: Know the Key Differences — from aithority.com by Rishika Patel

The same paradigm applies to AI systems. AI assistants function as reactive tools, completing tasks like answering queries or managing workflows upon request. Think of chatbots or scheduling tools. AI agents, however, work autonomously to achieve set objectives, making decisions and executing tasks dynamically, adapting as new information becomes available.

Together, AI assistants and agents can enhance productivity and innovation in business environments. While assistants handle routine tasks, agents can drive strategic initiatives and problem-solving. This powerful combination has the potential to elevate organizations, making processes more efficient and professionals more effective.

Discover how to accelerate AI transformation with NVIDIA and Microsoft — from ignite.microsoft.com

Meet NVIDIA – The Engine of AI. From gaming to data science, self-driving cars to climate change, we’re tackling the world’s greatest challenges and transforming everyday life. The Microsoft and NVIDIA partnership enables Startups, ISVs, and Partners global access to the latest NVIDIA GPUs on-demand and comprehensive developer solutions to build, deploy and scale AI-enabled products and services.

Google + Meta + Apple New AI — from theneurondaily.com by Grant Harve

What else Google announced:

Deep Research: New feature that can explore topics and compile reports.
Project Astra: AI agent that can use Google Search, Lens, and Maps, understands multiple languages, and has 10-minute conversation memory.
Project Mariner: A browser control agent that can complete web tasks (83.5% success rate on WebVoyager benchmark). Read more about Mariner here.
Agents to help you play (or test) video games.

AI Agents: Easier To Build, Harder To Get Right — from forbes.com by Andres Zunino

The swift progress of artificial intelligence (AI) has simplified the creation and deployment of AI agents with the help of new tools and platforms. However, deploying these systems beneath the surface comes with hidden challenges, particularly concerning ethics, fairness and the potential for bias.

The history of AI agents highlights the growing need for expertise to fully realize their benefits while effectively minimizing risks.

Closing the digital use divide with active and engaging learning [Ascione]

On 12/04/2024, in active learning, Artificial Intelligence/Agents/LLMs/and Related, collaboration, communications, computer science, content development, aggregation, repositories, creativity, curriculum, data related items, education, education technology, educational games / serious games, engagement / engaging students, experimentation, face-to-face, instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, learning preferences, multimedia, new media literacies, personalized/customized learning, programming, simulations, skills, student teaching/teacher education, student-related, teachers, tools, United States, vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, XR - extended reality, youth, by Daniel Christian

Closing the digital use divide with active and engaging learning — from eschoolnews.com by Laura Ascione
Students offered insight into how to use active learning, with digital tools, to boost their engagement

When it comes to classroom edtech use, digital tools have a drastically different impact when they are used actively instead of passively–a critical difference examined in the 2023-2024 Speak Up Research by Project Tomorrow.

Students also outlined their ideal active learning technologies:

Collaboration tools to support projects
Student-teacher communication tools
Online databases for self-directed research
Multi-media tools for creating new content
Online and digital games
AI tools to support personalized learning
Coding and computer programming resources
Online animations, simulations, and virtual labs
Virtual reality equipment and content

7 Legal Tech Trends To Watch In 2025 — from lexology.com by Sacha Kirk
Australia, United Kingdom November 25 2024

In-house legal teams are changing from a traditional support function to becoming proactive business enablers. New tools are helping legal departments enhance efficiency, improve compliance, and to deliver greater strategic value.

Here’s a look at seven emerging trends that will shape legal tech in 2025 and insights on how in-house teams can capitalise on these innovations.

1. AI Solutions…
2. Regulatory Intelligence Platforms…
…
7. Self-Service Legal Tools and Knowledge Management
As the demand on in-house legal teams continues to grow, self-service tools are becoming indispensable for managing routine legal tasks. In 2025, these tools are expected to evolve further, enabling employees across the organisation to handle straightforward legal processes independently. Whether it’s accessing pre-approved templates, completing standard agreements, or finding answers to common legal queries, self-service platforms reduce the dependency on legal teams for everyday tasks.

Advanced self-service tools go beyond templates, incorporating intuitive workflows, approval pathways, and built-in guidance to ensure compliance with legal and organisational policies. By empowering business users to manage low-risk matters on their own, these tools free up legal teams to focus on complex and high-value work.

Denmark’s Gefion: The AI supercomputer that puts society first [Nest]

On 11/21/2024, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, collaboration, computer science, corporate / business world, emerging technologies, Europe, experimentation, future, game-changing environment, generational differences, NVIDIA, platforms, society, by Daniel Christian

Denmark’s Gefion: The AI supercomputer that puts society first — from blog.aiport.tech by Daniel Nest
Can it help us reimagine what “AI success” looks like?

In late October 2024, NVIDIA’s Jensen Huang and Denmark’s King Frederik X symbolically plugged in the country’s new AI supercomputer, Gefion.

Societal impact vs. monetization
Public-private cooperation vs. venture capital
Powered by renewable energy

New Partnership Offers Online Tutoring in Michigan Schools [govtech.com]

On 11/13/2024, in collaboration, culture, education, education technology, K-12 related, leadership, learning ecosystem, Michigan, student-related, teachers, teaching online, United States, vendors, virtual K-12 schools, virtual tutoring, by Daniel Christian

New Partnership Offers Online Tutoring in Michigan Schools — from govtech.com via GSV
The online education nonprofit Michigan Virtual has partnered with Stride Tutoring to offer remote academic support for students in 700 school districts as part of a statewide push to reverse pandemic learning loss.

Online education provider Michigan Virtual is working with a Virginia-based online tutoring company to increase access to personalized academic support for Michigan students, according to a news release last month. The partnership is in line with a statewide push to reverse pandemic learning loss through high-impact tutoring.

Speaking of education — but expanding the scope of this posting to a global scale:

Kids worldwide face huge educational challenges. Is better leadership a solution? — from hechingerreport.org by Liz Willen
Amid dismal data, educators from around the world gather in Brazil and say they can rise to the challenges

While the conversation clearly focused on a continuing worldwide crisis in education, the UNESCO conference I participated in was different. It emphasized a topic of huge importance to improving student outcomes, and coincided with the release of a report detailing how effective leaders can make a big difference in the lives of children.

From DSC:
Leadership is important, for sure. But being a leader in education is very difficult these days — there are many different (and high) expectations and agendas being thrown your way from a variety of shareholders. But I do appreciate those leaders who are trying to create effective learning ecosystems out there!

One more for high school students considering going to college…

Wondering what life will be like at college? This tool can help — from hechingerreport.org by Olivia Sanchez and Noble Ingram
Our new guide answers your campus culture questions

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.

From DSC:
Great…we have another tool called Canvas. Or did you say Canva?

Introducing canvas — from OpenAI
A new way of working with ChatGPT to write and code

We’re introducing canvas, a new interface for working with ChatGPT on writing and coding projects that go beyond simple chat. Canvas opens in a separate window, allowing you and ChatGPT to collaborate on a project. This early beta introduces a new way of working together—not just through conversation, but by creating and refining ideas side by side.

Canvas was built with GPT-4o and can be manually selected in the model picker while in beta. Starting today we’re rolling out canvas to ChatGPT Plus and Team users globally. Enterprise and Edu users will get access next week. We also plan to make canvas available to all ChatGPT Free users when it’s out of beta.

Using AI to buy your home? These companies think it’s time you should — from usatoday.com by Andrea Riquier

The way Americans buy homes is changing dramatically.

New industry rules about how home buyers’ real estate agents get paid are prompting a reckoning among housing experts and the tech sector. Many house hunters who are already stretched thin by record-high home prices and closing costs must now decide whether, and how much, to pay an agent.

A 2-3% commission on the median home price of $416,700 could be well over $10,000, and in a world where consumers are accustomed to using technology for everything from taxes to tickets, many entrepreneurs see an opportunity to automate away the middleman, even as some consumer advocates say not so fast.

The State of AI Report 2024 — from nathanbenaich.substack.com by Nathan Benaich

The Great Mismatch — from the-job.beehiiv.com. by Paul Fain
Artificial intelligence could threaten millions of decent-paying jobs held by women without degrees.

Women in administrative and office roles may face the biggest AI automation risk, find Brookings researchers armed with data from OpenAI. Also, why Indiana could make the Swiss apprenticeship model work in this country, and how learners get disillusioned when a certificate doesn’t immediately lead to a good job.
…
A major new analysis from the Brookings Institution, using OpenAI data, found that the most vulnerable workers don’t look like the rail and dockworkers who have recaptured the national spotlight. Nor are they the creatives—like Hollywood’s writers and actors—that many wealthier knowledge workers identify with. Rather, they’re predominantly women in the 19M office support and administrative jobs that make up the first rung of the middle class.

“Unfortunately the technology and automation risks facing women have been overlooked for a long time,” says Molly Kinder, a fellow at Brookings Metro and lead author of the new report. “Most of the popular and political attention to issues of automation and work centers on men in blue-collar roles. There is far less awareness about the (greater) risks to women in lower-middle-class roles.”

introducing swarm: an experimental framework for building, orchestrating, and deploying multi-agent systems. ?https://t.co/97n4fehmtM

— shyamal (@shyamalanadkat) October 11, 2024

Is this how AI will transform the world over the next decade? — from futureofbeinghuman.com by Andrew Maynard
Anthropic’s CEO Dario Amodei has just published a radical vision of an AI-accelerated future. It’s audacious, compelling, and a must-read for anyone working at the intersection of AI and society.

But if Amodei’s essay is approached as a conversation starter rather than a manifesto — which I think it should be — it’s hard to see how it won’t lead to clearer thinking around how we successfully navigate the coming AI transition.

Given the scope of the paper, it’s hard to write a response to it that isn’t as long or longer as the original. Because of this, I’d strongly encourage anyone who’s looking at how AI might transform society to read the original — it’s well written, and easier to navigate than its length might suggest.

That said, I did want to pull out a few things that struck me as particularly relevant and important — especially within the context of navigating advanced technology transitions.

And speaking of that essay, here’s a summary from The Rundown AI:

Anthropic CEO Dario Amodei just published a lengthy essay outlining an optimistic vision for how AI could transform society within 5-10 years of achieving human-level capabilities, touching on longevity, politics, work, the economy, and more.

The details:

Amodei believes that by 2026, ‘powerful AI’ smarter than a Nobel Prize winner across fields, with agentic and all multimodal capabilities, will be possible.
He also predicted that AI could compress 100 years of scientific progress into 10 years, curing most diseases and doubling the human lifespan.
The essay argued AI could strengthen democracy by countering misinformation and providing tools to undermine authoritarian regimes.
The CEO acknowledged potential downsides, including job displacement — but believes new economic models will emerge to address this.
He envisions AI driving unprecedented economic growth but emphasizes ensuring AI’s benefits are broadly distributed.

Why it matters:

As the CEO of what is seen as the ‘safety-focused’ AI lab, Amodei paints a utopia-level optimistic view of where AI will head over the next decade. This thought-provoking essay serves as both a roadmap for AI’s potential and a call to action to ensure the responsible development of technology.

AI in the Workplace: Answering 3 Big Questions — from gallup.com by Kate Den Houter

However, most workers remain unaware of these efforts. Only a third (33%) of all U.S. employees say their organization has begun integrating AI into their business practices, with the highest percentage in white-collar industries (44%).
…
White-collar workers are more likely to be using AI. White-collar workers are, by far, the most frequent users of AI in their roles. While 81% of employees in production/frontline industries say they never use AI, only 54% of white-collar workers say they never do and 15% report using AI weekly.
…
Most employees using AI use it for idea generation and task automation. Among employees who say they use AI, the most common uses are to generate ideas (41%), to consolidate information or data (39%), and to automate basic tasks (39%).

Nvidia Blackwell GPUs sold out for the next 12 months as AI market boom continues — from techspot.com by Skye Jacobs
Analysts expect Team Green to increase its already formidable market share

Selling like hotcakes: The extraordinary demand for Blackwell GPUs illustrates the need for robust, energy-efficient processors as companies race to implement more sophisticated AI models and applications. The coming months will be critical to Nvidia as the company works to ramp up production and meet the overwhelming requests for its latest product.

Here’s my AI toolkit — from wondertools.substack.com by Jeremy Caplan and Nikita Roy
How and why I use the AI tools I do — an audio conversation

1. What are two useful new ways to use AI?

AI-powered research: Type a detailed search query into Perplexity instead of Google to get a quick, actionable summary response with links to relevant information sources. Read more of my take on why Perplexity is so useful and how to use it.
Notes organization and analysis: Tools like NotebookLM, Claude Projects, and Mem can help you make sense of huge repositories of notes and documents. Query or summarize your own notes and surface novel connections between your ideas.

Students at This High School Do Internships. It’s a Game Changer — from edweek.org by Elizabeth Heubeck

Disengaged students. Sky-high absenteeism. A disconnect between the typical high school’s academic curriculum and post-graduation life.

These and related complaints about the American high school experience have been gathering steam for some time; the pandemic exacerbated them. State-level policymakers have taken note, and many are now trying to figure out how to give high school students access to a more relevant and engaging experience that prepares them for a future—whether it involves college or doesn’t.
…
After a slow start, the school’s internship program has grown exponentially. In 2019-20, just five students completed internships, mainly due to the logistical challenges the pandemic presented. This past year, it grew to over 180 participating seniors, with more than 200 community organizations agreeing to accept interns.

How Do Today’s High Schoolers Fare As They Enter Adulthood? View the Data — from edweek.org by Sarah D. Sparks

Even when students have access to high-quality dual-credit programs, they often do not get guidance about the academic and workplace requirements of particular fields until it’s too late, said Julie Lammers, the senior vice president of advocacy and corporate social responsibility for American Student Assistance, a national nonprofit focused on helping young people learn about college and careers.

“We need to start having career conversations with young people much earlier in their trajectory, at the time young people are still open to possibilities,” Lammers said. “If they don’t see themselves in science by 8th grade, STEM careers come off the table.”

Cost plays a big role in the decision to attend and stay in college. The Education Data Initiative finds that on average, students in 2024 racked up nearly$38,000 in debt to pursue a bachelor’s degree, with many expecting to take up to 20 years to pay it off.

Transforming Education From School-Centered to Learner-Centered
Centering Learners by Design: Shaping the Future of Education — from gettingsmart.com

What outcomes do we truly desire for young people? Many students feel that their current educational experiences do not prepare them adequately for real-world challenges. Supported by data on attendance, disengagement, and stress, it’s evident that a shift is needed. To move beyond outdated school-centered models, we must embrace a learner-centered paradigm that fosters flexibility, personalization, and authentic community engagement. Innovative approaches like multiage microschools and passion projects are transforming how students learn by fostering real-world skills, confidence, and community engagement.

These learner-centered models—ranging from personalized projects to collaborative problem-solving—provide actionable strategies to create environments where every student can thrive. Schools are moving away from one-size-fits-all systems and embracing approaches like flexible learning pathways, mentorship opportunities, and community-integrated learning. These strategies are not only closing the gap between education and the skills needed for the future but also reshaping public schools into dynamic hubs of innovation.

Key Points

Engaging parents, youth, teachers, principals, district leaders, community members, and industry experts in the co-design process ensures that education systems align with the aspirations and needs of the community.
Transitioning from a traditional school-centered model to a learner-centered approach is critical for preparing students with the skills needed to thrive in the 21st century.

Democrats and Republicans Agree Teacher Prep Needs to Change. But How? — from edweek.org by Libby Stanford
The programs have been designed “essentially to mass-produce identical educators,” a teachers college dean told lawmakers

The core problem, witnesses at the hearing said, is that teacher-preparation programs treat all teachers—and, by extension, students—the same, asking teachers to be “everything to everybody.”

“The current model of teaching where one teacher works individually with a group of learners in a classroom—or a small box inside of a larger box that we call school—promotes unrealistic expectations by assuming individual teachers working in isolation can meet the needs of all students,” said Greg Mendez, the principal of Skyline High School in Mesa, Ariz.

From DSC:
I’ve long thought teacher education programs could and should evolve (that’s why I have a “student teacher/teacher education” category on this blog). For example, they should inform their future teachers about the science of learning and how to leverage edtech/emerging technologies into their teaching methods.

But regardless of what happens in our teacher prep programs, the issues about the current PreK-12 learning ecosystem remain — and THOSE things are what we need to address. Or we will continue to see teachers leave the profession.

Are we straight-jacketing our teachers and administrators by having them give so many standardized tests and then having to teach to those tests? (We should require our legislators to teach in a classroom before they can draft any kind of legislation.)
Do teachers have the joy they used to have? The flexibility they used to have? Do students?
Do students have choice and voice?
etc.

Also, I highlighted the above excerpt because we can’t expect a teacher to do it all. They can’t be everything to everybody. It’s a recipe for burnout and depression. There are too many agendas coming at them.

We need to empower our current teachers and listen very carefully to the changes that they recommend. We should also listen very carefully to what our STUDENTS are recommending as well!

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

Building a Collaborative Lifelong Learning Ecosystem [moderncampus.com]

On 08/13/2024, in changing business models, collaboration, colleges, community colleges, culture, curriculum, future of higher education, higher education, ideas, learning ecosystem, lifelong learning, podcasting, reinvent, skills, staying relevant, United States, universities, by Daniel Christian

Building a Collaborative Lifelong Learning Ecosystem — from by Bryan Benjamin and Amrit Ahluwalia

Staying current and relevant is essential for institutions in today’s rapidly evolving higher education landscape. However, innovative work cannot be accomplished in isolation.

On this episode, Bryan Benjamin, Executive Director of The Ivey Academy and Amrit Ahluwalia, Executive Director of Continuing Studies at Western University, discusses the importance of institutional collaboration and creating a scalable lifelong learning ecosystem.

DSC: Think about the impacts/ramifications of global, virtual, real-time language translations!

On 08/12/2024, in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, assistive technologies, business, cloud-based computing / apps / other cloud-related, collaboration, colleges, communications, communities of practice, community colleges, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital audio, education technology, emerging technologies, Europe, experimentation, future, future of higher education, game-changing environment, global / globalization, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, languages and translation, law schools, learning ecosystem, Learning from the Living [Class] Room, Natural Language Processing (NLP), Open AI, society, technologies for your home, telelegal, telemedicine / telehealth / virtual health, tools, training / L&D, United States, universities, usability, user experience (UX), vendors, videoconferencing, Virtual courts and law firms, virtual field trips, virtual K-12 schools, vision/possibilities, web-based collaboration, by Daniel Christian

Here’s the first group call with @ChatGPTapp Advanced Voice Mode.

Watch ChatGPT act like a native interpreter speaking to @skirano in Italian, and to me in Urdu.

Bonus, look out for the Mario impression near the end ? pic.twitter.com/TaVhJ6Q75J

— Ammaar Reshi (@ammaar) August 4, 2024

ChatGPT Voice Mode Is Here: Will It Revolutionize AI Communication?

Advanced Voice Mode – FAQ — from help.openai.com
Learn more about our Advanced Voice capabilities.

Advanced Voice Mode on ChatGPT features more natural, real-time conversations that pick up on and respond with emotion and non-verbal cues.

Advanced Voice Mode on ChatGPT is currently in a limited alpha. Please note that it may make mistakes, and access and rate limits are subject to change.

From DSC:
Think about the impacts/ramifications of global, virtual, real-time language translations!!! This type of technology will create very powerful, new affordances in our learning ecosystems — as well as in business communications, with the various governments across the globe, and more!

Digital Writing Lab

About this Project

The Digital Writing Lab is a key component of the Australian national Teaching Digital Writing project, which runs from 2022-2025.

This stage of the broader project involves academic and secondary English teacher collaboration to explore how teachers are conceptualising the teaching of digital writing and what further supports they may need.

Previous stages of the project included archival research reviewing materials related to digital writing in Australia’s National Textbook Collection, and a national survey of secondary English teachers. You can find out more about the whole project via the project blog.

Who runs the project?

Project Lead Lucinda McKnight is an Associate Professor and Australian Research Council (ARC) DECRA Fellow researching how English teachers can connect the teaching of writing to contemporary media and students’ lifeworlds.

She is working with Leon Furze, who holds the doctoral scholarship attached to this project, and Chris Zomer, the project Research Fellow. The project is located in the Research for Educational Impact (REDI) centre at Deakin University, Melbourne.

.

Using Class Discussions as AI-Proof Assessments [McPhillips]

On 08/05/2024, in Artificial Intelligence/Agents/LLMs/and Related, assessment, collaboration, communications, education, education technology, ideas, instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, participation, pedagogy, teachers, youth, by Daniel Christian

Using Class Discussions as AI-Proof Assessments — from edutopia.org by Kara McPhillips
Classroom discussions are one way to ensure that students are doing their own work in the age of artificial intelligence.

I admit it: Grading essays has never topped my list of teaching joys. Sure, the moments when a student finally nails a skill after months of hard work make me shout for joy, startling my nearby colleagues (sorry, Ms. Evans), but by and large, it’s hard work. Yet lately, as generative artificial intelligence (AI) headlines swirl in my mind, a new anxiety has crept into my grading life. I increasingly wonder, am I looking at their hard work?

Do you know when I don’t feel this way? During discussions. A ninth grader wiggling the worn corner of her text, leaning forward with excitement over what she’s cleverly noticed about Kambili, rarely makes me wonder, “Are these her ideas?”

While I’ve always thought discussion is important, AI is elevating that importance. This year, I wonder, how can I best leverage discussion in my classroom?

Gig Work, College Skills [Fain]

On 08/01/2024, in apprenticeships, business, career development, collaboration, colleges, community colleges, engagement / engaging students, experimentation, higher education, learning, learning ecosystem, Learning Experience Design, liberal arts, skills, student-related, teaching & learning, United States, universities, by Daniel Christian

Gig Work, College Skills — from the-job.beehiiv.com by Paul Fain
New partnership lets college students use classroom learning for freelance roles.

Bringing Freelancing to College Education
A new partnership between Podium Education, an experiential learning company, and the freelance platform Upwork aims to let more students use the skills they’ve learned in class—and to make money now for doing so.

The Big Idea: The partnership, announced today, is an extension of the work that Podium already does with more than 70 universities. Through their Global Career Accelerator, students learn marketing, data analytics, or coding skills for credit and get the chance to work on a specific project with companies like Intel and the nonprofit charity: water. With the new partnership, students who complete the coursework will get customized access to and onboarding with Upwork, as well as coaching on how to be successful in freelancing.

Learning Ecosystems

Building a Collaborative Lifelong Learning Ecosystem [moderncampus.com]

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