How to Use AI to Do Stuff: An Opinionated Guide — from oneusefulthing.org by Ethan Mollick
Covering the state of play as of Summer, 2023
On 07/13/2023,
in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, assessment, change, colleges, community colleges, computer science, education, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, generational differences, global / globalization, Google, higher education, human-computer interaction (HCI), instructional design, intelligent systems, intelligent tutoring, journalism, K-12 related, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, lifelong learning, platforms, productivity / tips and tricks, professional development, programming, research, science, student-related, teachers, teaching & learning, tools, trends, United States, universities, vendors, vision/possibilities,
by Daniel Christian
YouTube tests AI-generated quizzes on educational videos — from techcrunch.com by Lauren Forristal
YouTube is experimenting with AI-generated quizzes on its mobile app for iOS and Android devices, which are designed to help viewers learn more about a subject featured in an educational video. The feature will also help the video-sharing platform get a better understanding of how well each video covers a certain topic.
Incorporating AI in Teaching: Practical Examples for Busy Instructors — from danielstanford.substack.com by Daniel Stanford; with thanks to Derek Bruff on LinkedIn for the resource
Since January 2023, I’ve talked with hundreds of instructors at dozens of institutions about how they might incorporate AI into their teaching. Through these conversations, I’ve noticed a few common issues:
- Faculty and staff are overwhelmed and burned out. Even those on the cutting edge often feel they’re behind the curve.
- It’s hard to know where to begin.
- It can be difficult to find practical examples of AI use that are applicable across a variety of disciplines.
To help address these challenges, I’ve been working on a list of AI-infused learning activities that encourage experimentation in (relatively) small, manageable ways.
September 2023: The Secret Intelligent Beings on Campus — from stefanbauschard.substack.com by Stefan Bauschard
Many of your students this fall will be enhanced by artificial intelligence, even if they don’t look like actual cyborgs. Do you want all of them to be enhanced, or just the highest SES students?
How to report better on artificial intelligence — from cjr.org (Columbia Journalism Review) by Syash Kapoor, Hilke Schellmann, and Ari Sen
In the past few months we have been deluged with headlines about new AI tools and how much they are going to change society.
Some reporters have done amazing work holding the companies developing AI accountable, but many struggle to report on this new technology in a fair and accurate way.
We—an investigative reporter, a data journalist, and a computer scientist—have firsthand experience investigating AI. We’ve seen the tremendous potential these tools can have—but also their tremendous risks.
As their adoption grows, we believe that, soon enough, many reporters will encounter AI tools on their beat, so we wanted to put together a short guide to what we have learned.
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DSC:
Something I created via Adobe Firefly (Beta version)
The 5 reasons L&D is going to embrace ChatGPT — from chieflearningoffice.com by Josh Bersin
Does this mean it will do away with the L&D job? Not at all — these tools give you superhuman powers to find content faster, put it in front of employees in a more useful way and more creatively craft character simulations, assessments, learning in the flow of work and more.
And it’s about time. We really haven’t had a massive innovation in L&D since the early days of the learning experience platform market, so we may be entering the most exciting era in a long time.
Let me give you the five most significant use cases I see. And more will come.
AI and Tech with Scenarios: ID Links 7/11/23 — from christytuckerlearning.com by Christy Tucker
As I read online, I bookmark resources I find interesting and useful. I share these links periodically here on my blog. This post includes links on using tech with scenarios: AI, xAPI, and VR. I’ll also share some other AI tools and links on usability, resume tips for teachers, visual language, and a scenario sample.
It’s only a matter of time before A.I. chatbots are teaching in primary schools — from cnbc.com by Mikaela Cohen
Key Points
- Microsoft co-founder Bill Gates saying generative AI chatbots can teach kids to read in 18 months rather than years.
- Artificial intelligence is beginning to prove that it can accelerate the impact teachers have on students and help solve a stubborn teacher shortage.
- Chatbots backed by large language models can help students, from primary education to certification programs, self-guide through voluminous materials and tailor their education to specific learning styles [preferences].
The Rise of AI: New Rules for Super T Professionals and Next Steps for EdLeaders — from gettingsmart.com by Tom Vander Ark
Key Points
- The rise of artificial intelligence, especially generative AI, boosts productivity in content creation–text, code, images and increasingly video.
- Here are six preliminary conclusions about the nature of work and learning.
The Future Of Education: Embracing AI For Student Success — from forbes.com by Dr. Michael Horowitz
Unfortunately, too often attention is focused on the problems of AI—that it allows students to cheat and can undermine the value of what teachers bring to the learning equation. This viewpoint ignores the immense possibilities that AI can bring to education and across every industry.
The fact is that students have already embraced this new technology, which is neither a new story nor a surprising one in education. Leaders should accept this and understand that people, not robots, must ultimately create the path forward. It is only by deploying resources, training and policies at every level of our institutions that we can begin to realize the vast potential of what AI can offer.
AI Tools in Education: Doing Less While Learning More — from campustechnology.com by Mary Grush
A Q&A with Mark Frydenberg
Why Students & Teachers Should Get Excited about ChatGPT — from ivypanda.com with thanks to Ruth Kinloch for this resource
Excerpt re: Uses of ChatGPT for Teachers
- Diverse assignments.
- Individualized approach.
- Interesting classes.
- Debates.
- Critical thinking.
- Grammar and vocabulary.
- Homework review.
SAIL: State of Research: AI & Education — from buttondown.email by George Siemens
Information re: current AI and Learning Labs, education updates, and technology
Why ethical AI requires a future-ready and inclusive education system — from weforum.org
A specter is haunting higher education — from aiandacademia.substack.com by Bryan Alexander
Fall semester after the generative AI revolution
In this post I’d like to explore that apocalyptic model. For reasons of space, I’ll leave off analyzing student cheating motivations or questioning the entire edifice of grade-based assessment. I’ll save potential solutions for another post.
Let’s dive into the practical aspects of teaching to see why Mollick and Bogost foresee such a dire semester ahead.
Items re: Code Interpreter
Code Interpreter becoming available for all ChatGPT Plus users over the next week. Really amazing for any data science use case: https://t.co/hpel8xKyEg pic.twitter.com/Fd3SnPvVmT
— Greg Brockman (@gdb) July 6, 2023
I put together an initial prompt to set up Code Interpreter to create useful data visualizations. It gives it some basic principles of good chart design & also reminds it that it can output many kinds of files.
It is a first draft, feel free to improve: https://t.co/m4yAdKROiJ pic.twitter.com/r5A7PznqSC
— Ethan Mollick (@emollick) July 10, 2023
- What AI can do with a toolbox… Getting started with Code Interpreter — from oneusefulthing.org by Ethan Mollick
Democratizing data analysis with AI
Code Interpreter continues OpenAI’s long tradition of giving terrible names to things, because it might be most useful for those who do not code at all. It essentially allows the most advanced AI available, GPT-4, to upload and download information, and to write and execute programs for you in a persistent workspace. That allows the AI to do all sorts of things it couldn’t do before, and be useful in ways that were impossible with ChatGPT.
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BREAKING: Code Interpreter is FINALLY rolling out to all ChatGPT Plus users.
It’s the most powerful feature OpenAI has released since GPT-4. It makes everyone a data analyst.
Here are 15 mind-blowing use cases of Code Interpreter: pic.twitter.com/qX0txynENS
— Aakash Gupta ? Product Growth Guy (@aakashg0) July 7, 2023
Legal items
- 2 authors say OpenAI ‘ingested’ their books to train ChatGPT. Now they’re suing, and a ‘wave’ of similar court cases may follow. — from businessinsider.com by Gabriel Rivera
- Authors Are Suing OpenAI & Meta For Copyright Infringement — from theneurondaily.com by Noah Edelman
MISC items
- America’s first law regulating AI bias in hiring takes effect this week — from downes.ca by Stephen Downes
- Eric Schmidt: This is how AI will transform the way science gets done — from technologyreview.com by Eric Schmidt
Science is about to become much more exciting—and that will affect us all, argues Google’s former CEO. - Microsoft unveils first professional certificate for generative AI skills — from zdnet.com/ by Lance Whitney
With the new AI Skills Initiative, people can take free online training via LinkedIn to learn concepts of AI good toward a Career Essentials certificate. - What is Claude 2? How to access this ChatGPT competitor. — from mashable.com by Cecily Mauran
It’s a decent alternative, and it’s easy to use. - Claude 2 — from anthropic.com
On 07/07/2023,
in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, Asia, assessment, Australia, bots, change, cloud-based computing / apps / other cloud-related, colleges, community colleges, content development, aggregation, repositories, digital learning, digital textbooks, education, education reform, education technology, educational games / serious games, emerging technologies, ethics, experimentation, faculty, 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, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, library / librarians, morals/values, multimedia, new media literacies, online media, personalized/customized learning, platforms, productivity / tips and tricks, skills, society, staying relevant, student teaching/teacher education, student-related, teachers, teaching & learning, textbooks, the downsides of how people use tech, tools, United States, universities, vendors, vision/possibilities, youth,
by Daniel Christian
AI for Education Webinars — from youtube.com by Tom Barrett and others
Post-AI Assessment Design — from drphilippahardman.substack.com by Dr. Philippa Hardman
A simple, three-step guide on how to design assessments in a post-AI world
Excerpt:
Step 1: Write Inquiry-Based Objectives
Inquiry-based objectives focus not just on the acquisition of knowledge but also on the development of skills and behaviours, like critical thinking, problem-solving, collaboration and research skills.
They do this by requiring learners not just to recall or “describe back” concepts that are delivered via text, lecture or video. Instead, inquiry-based objectives require learners to construct their own understanding through the process of investigation, analysis and questioning.
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Massive Disruption Now: What AI Means for Students, Educators, Administrators and Accreditation Boards
— from stefanbauschard.substack.com by Stefan Bauschard; via Will Richardson on LinkedIn
The choices many colleges and universities make regarding AI over the next 9 months will determine if they survive. The same may be true for schools.
Excerpts:
Just for a minute, consider how education would change if the following were true –
- AIs “hallucinated” less than humans
- AIs could write in our own voices
- AIs could accurately do math
- AIs understood the unique academic (and eventually developmental) needs of each student and adapt instruction to that student
- AIs could teach anything any student wanted or need to know any time of day or night
- AIs could do this at a fraction of the cost of a human teacher or professor
Fall 2026 is three years away. Do you have a three year plan? Perhaps you should scrap it and write a new one (or at least realize that your current one cannot survive). If you run an academic institution in 2026 the same way you ran it in 2022, you might as well run it like you would have in 1920. If you run an academic institution in 2030 (or any year when AI surpasses human intelligence) the same way you ran it in 2022, you might as well run it like you would have in 1820. AIs will become more intelligent than us, perhaps in 10-20 years (LeCun), though there could be unanticipated breakthroughs that lower the time frame to a few years or less (Benjio); it’s just a question of when, not “if.”
On one creative use of AI — from aiandacademia.substack.com by Bryan Alexander
A new practice with pedagogical possibilities
Excerpt:
Look at those material items again. The voiceover? Written by an AI and turned into audio by software. The images? Created by human prompts in Midjourney. The music is, I think, human created. And the idea came from a discussion between a human and an AI?
…
How might this play out in a college or university class?
Imagine assignments which require students to craft such a video. Start from film, media studies, or computer science classes. Students work through a process:
Generative Textbooks — from opencontent.org by David Wiley
Excerpt (emphasis DSC):
I continue to try to imagine ways generative AI can impact teaching and learning, including learning materials like textbooks. Earlier this week I started wondering – what if, in the future, educators didn’t write textbooks at all? What if, instead, we only wrote structured collections of highly crafted prompts? Instead of reading a static textbook in a linear fashion, the learner would use the prompts to interact with a large language model. These prompts could help learners ask for things like:
- overviews and in-depth explanations of specific topics in a specific sequence,
- examples that the learner finds personally relevant and interesting,
- interactive practice – including open-ended exercises – with immediate, corrective feedback,
- the structure of the relationships between ideas and concepts,
- etc.
Also relevant/see:
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Generating The Future of Education with AI — from aixeducation.com
Designed for K12 and Higher-Ed Educators & Administrators, this conference aims to provide a platform for educators, administrators, AI experts, students, parents, and EdTech leaders to discuss the impact of AI on education, address current challenges and potentials, share their perspectives and experiences, and explore innovative solutions. A special emphasis will be placed on including students’ voices in the conversation, highlighting their unique experiences and insights as the primary beneficiaries of these educational transformations.
How Teachers Are Using ChatGPT in Class — from edweek.org by Larry Ferlazzo
Excerpt:
The use of generative AI in K-12 settings is complex and still in its infancy. We need to consider how these tools can enhance student creativity, improve writing skills, and be transparent with students about how generative AI works so they can better understand its limitations. As with any new tech, our students will be exposed to it, and it is our task as educators to help them navigate this new territory as well-informed, curious explorers.
Japan emphasizes students’ comprehension of AI in new school guidelines — from japantimes.co.jp by Karin Kaneko; via The Rundown
Excerpt:
The education ministry has emphasized the need for students to understand artificial intelligence in new guidelines released Tuesday, setting out how generative AI can be integrated into schools and the precautions needed to address associated risks.
Students should comprehend the characteristics of AI, including its advantages and disadvantages, with the latter including personal information leakages and copyright infringement, before they use it, according to the guidelines. They explicitly state that passing off reports, essays or any other works produced by AI as one’s own is inappropriate.
AI’s Teachable Moment: How ChatGPT Is Transforming the Classroom — from cnet.com by Mark Serrels
Teachers and students are already harnessing the power of AI, with an eye toward the future.
Excerpt:
Thanks to the rapid development of artificial intelligence tools like Dall-E and ChatGPT, my brother-in-law has been wrestling with low-level anxiety: Is it a good idea to steer his son down this path when AI threatens to devalue the work of creatives? Will there be a job for someone with that skill set in 10 years? He’s unsure. But instead of burying his head in the sand, he’s doing what any tech-savvy parent would do: He’s teaching his son how to use AI.
In recent months the family has picked up subscriptions to AI services. Now, in addition to drawing and sculpting and making movies and video games, my nephew is creating the monsters of his dreams with Midjourney, a generative AI tool that uses language prompts to produce images.
The AI Dictionary for Educators — from blog.profjim.com
To bridge this knowledge gap, I decided to make a quick little dictionary of AI terms specifically tailored for educators worldwide. Initially created for my own benefit, I’ve reworked my own AI Dictionary for Educators and expanded it to help my fellow teachers embrace the advancements AI brings to education.
7 Strategies to Prepare Educators to Teach With AI — from edweek.org by Lauraine Langreo; NOTE: Behind paywall
On 06/28/2023,
in Africa, Artificial Intelligence/Agents/LLMs/and Related, Asia, assessment, Australia, Canada, creativity, digital learning, education, education technology, educational games / serious games, emerging technologies, engagement / engaging students, entrepreneurship, Europe, experimentation, graphics, human-computer interaction (HCI), ideas, India, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning, learning ecosystem, Learning Experience Design, participation, platforms, presentations, productivity / tips and tricks, professional development, project-based learning, skills, student-related, teachers, tools, UK, United States, vendors, vision/possibilities, visualizing information, writing, youth,
by Daniel Christian
101 creative ideas to use AI in education, A crowdsourced collection — from zenodo.org by Chrissi Nerantzi, Sandra Abegglen, Marianna Karatsiori, & Antonio Martínez-Arboleda (Eds.); with thanks to George Veletsianos for this resource
As an example, here’s one of the ideas from the crowdsourced collection:
On a somewhat related note, also see:
Merlyn Mind launches education-focused LLMs for classroom integration of generative AI — from venturebeat.com by Victor Dey
Excerpt:
Merlyn Mind, an AI-powered digital assistant platform, announced the launch of a suite of large language models (LLMs) specifically tailored for the education sector under an open-source license.
Designing courses in an age of AI — from teachinginhighered.com by Maria Andersen
Maria Andersen shares about designing courses in an age of artificial intelligence (AI) on episode 469 of the Teaching in Higher Ed podcast.
With generative AI, we have an incredible acceleration of change happening.
Maria Andersen
On 06/27/2023,
in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, assessment, business, changing business models, colleges, community colleges, corporate / business world, digital learning, digital video, economics, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, generational differences, graphics, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, lifelong learning, new business models, open courseware and systems, personalized/customized learning, platforms, policy, society, teachers, teaching & learning, technologies for your home, tools, UK, United States, universities, workplace, writing,
by Daniel Christian
The economic potential of generative AI — from mckinsey.com; via Superhuman
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DC: It should prove to be interesting & fun to watch how #AI and #XR related technologies will be integrated into games & the #gamification of #learning .https://t.co/HO2CftqNrs via @VRScout
— Daniel Christian (he/him/his) (@dchristian5) June 23, 2023
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On giving AI eyes and ears — from oneusefulthing.org by Ethan Mollick
AI can listen and see, with bigger implications than we might realize.
Excerpt:
But even this is just the beginning, and new modes of using AI are appearing, which further increases their capabilities. I want to show you some examples of this emerging world, which I think will soon introduce a new wave of AI use cases, and accompanying disruption.
We need to recognize that these capabilities will continue to grow, and AI will be able to play a more active role in the real world by observing and listening. The implications are likely to be profound, and we should start thinking through both the huge benefits and major concerns today.
Ethan Mollick
5 Steps to Transforming Images into Videos Using AI Tools — from heatherbcooper.substack.com by Heather Cooper
A simple guide to layering AI tools for quick video creation
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‘Nobody wins in an academic-integrity arms race’ — from chonicle.com by Ian Wilhelm
How artificial intelligence is changing the way college thing about cheating
Even though generative AI is a new thing, it doesn’t change why students cheat. They’ve always cheated for the same reason: They don’t find the work meaningful, and they don’t think they can achieve it to their satisfaction. So we need to design assessments that students find meaning in.
Tricia Bertram Gallant
Caught off guard by AI — from chonicle.com by Beth McMurtrie and Beckie Supiano
Professor scrambled to react to ChatGPT this spring — and started planning for the fall
Excerpt:
Is it cheating to use AI to brainstorm, or should that distinction be reserved for writing that you pretend is yours? Should AI be banned from the classroom, or is that irresponsible, given how quickly it is seeping into everyday life? Should a student caught cheating with AI be punished because they passed work off as their own, or given a second chance, especially if different professors have different rules and students aren’t always sure what use is appropriate?
GPT-4 Can Use Tools Now—That’s a Big Deal — from every.to by Dan Shipper; resource via Sam DeBrule
What “function calling” is, how it works, and what it means
Excerpt:
…OpenAI built tool use right into the GPT API with an update called function calling. It’s a little like a child’s ability to ask their parents to help them with a task that they know they can’t do on their own. Except in this case, instead of parents, GPT can call out to external code, databases, or other APIs when it needs to.
Each function in function calling represents a tool that a GPT model can use when necessary, and GPT gets to decide which ones it wants to use and when. This instantly upgrades GPT capabilities—not because it can now do every task perfectly—but because it now knows how to ask for what it wants and get it.
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How ChatGPT can help disrupt assessment overload — from timeshighereducation.com by David Carless
Advances in AI are not necessarily the enemy – in fact, they should prompt long overdue consideration of assessment types and frequency, says David Carless
Excerpt:
Reducing the assessment burden could support trust in students as individuals wanting to produce worthwhile, original work. Indeed, students can be co-opted as partners in designing their own assessment tasks, so they can produce something meaningful to them.
A strategic reduction in quantity of assessment would also facilitate a refocusing of assessment priorities on deep understanding more than just performance and carries potential to enhance feedback processes.
If we were to tackle assessment overload in these ways, it opens up various possibilities. Most significantly there is potential to revitalise feedback so that it becomes a core part of a learning cycle rather than an adjunct at its end. End-of-semester, product-oriented feedback, which comes after grades have already been awarded, fails to encourage the iterative loops and spirals typical of productive learning.
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The full 12 uses are here: https://edgeoflearning.com/your-new-teaching-superpower-ai-tools/
The AI Tools in Education Database — from kiwi-path-612.notion.site by EdTech Insiders
Excerpt (emphasis DSC):
Since AI in education has been moving at the speed of light, we built this AI Tools in Education database to keep track of the most recent AI tools in education and the changes that are happening every day. This database is intended to be a community resource for educators, researchers, students, and other edtech specialists looking to stay up to date. This is a living document, so be sure to come back for regular updates.
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Time for Class 2023 Study finds students are earlier adopters of generative AI tools than faculty, and majority (69%) of learners prefer hybrid, blended or online course formats — from globenewswire.com by Tyton Partners
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AI Could Prevent Hiring Bias — Unless It Makes It Worse — from nerdwallet.com by Anna Helhoski
Advocates say AI can eliminate human biases in hiring. Skeptics point out that AI tools are trained by … humans.
Excerpt:
These claims conjure up the rosiest of images: human resource departments and their robot buddies solving discrimination in workplace hiring. It seems plausible, in theory, that AI could root out unconscious bias, but a growing body of research shows the opposite may be more likely.
…
Companies’ use of AI didn’t come out of nowhere: For example, automated applicant tracking systems have been used in hiring for decades. That means if you’ve applied for a job, your resume and cover letter were likely scanned by an automated system. You probably heard from a chatbot at some point in the process. Your interview might have been automatically scheduled and later even assessed by AI.
From DSC:
Here was my reflection on this:
DC: Along these lines, I wonder if Applicant Tracking Systems cause us to become like typecast actors and actresses — only thought of for certain roles. Pigeonholed.
— Daniel Christian (he/him/his) (@dchristian5) June 23, 2023
Also related to AI in hiring, see:
4 in 10 Companies Will Be Using AI Interviews by 2024 — from resumebuilder.com
In June, ResumeBuilder.com surveyed more than 1,000 employees who are involved in hiring processes at their workplaces to find out about their companies’ use of AI interviews.
The results:
- 43% of companies already have or plan to adopt AI interviews by 2024
- Two-thirds of this group believe AI interviews will increase hiring efficiency
- 15% say that AI will be used to make decisions on candidates without any human input
- More than half believe AI will eventually replace human hiring managers
Watch OpenAI CEO Sam Altman on the Future of AI — from bloomberg.com
Sam Altman, CEO & Co-Founder, OpenAI discusses the explosive rise of OpenAI and its products and what an AI-laced future can look like with Bloomberg’s Emily Chang at the Bloomberg Technology Summit.
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PowerSchool Announces Collaboration with Microsoft Azure OpenAI Service to Provide Personalized Learning at Scale in K-12 Education — from powerschool.com
Large-scale language models integrated within PowerSchool Performance Matters and PowerSchool LearningNav products will empower educators in delivering transformative personalized learning pathways
The implementation of generative AI within these products will dramatically improve educators’ ability to deliver personalized learning to students at scale by enabling the application of personalized assessments and learning pathways based on individual student needs and learning goals. K-12 educators will also benefit from access to OpenAI technology…
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FETC 2023 Virtual Roundtable: How AI Will Transform K-12 Education
AI could be the great equalizer!
Holly Clark
Example screenshots:
On 06/16/2023,
in 21st century, 24x7x365 access, Adobe, Apple, Artificial Intelligence/Agents/LLMs/and Related, business, corporate / business world, economics, education, education technology, Europe, future, game-changing environment, generational differences, Google, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, leadership, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, Microsoft, open courseware and systems, pace of change, pedagogy, platforms, productivity / tips and tricks, skills, strategy, teachers, teaching & learning, technologies for your home, the downsides of how people use tech, tools, United States, universities, vendors,
by Daniel Christian
Accenture announces jaw-dropping $3 billion investment in AI — from venturebeat.com by Carl Franzen; via Superhuman
Excerpt:
The generative AI announcements are coming fast and furious these days, but among the biggest in terms of sheer dollar commitments just landed: Accenture, the global professional services and consulting giant, today announced it will invest $3 billion (with a “b”!) in AI over the next three years in building out its team of AI professionals and AI-focused solutions for its clients.
“There is unprecedented interest in all areas of AI, and the substantial investment we are making in our Data & AI practice will help our clients move from interest to action to value, and in a responsible way with clear business cases,” said Julie Sweet, Accenture’s chairwoman and CEO.
Also related/see:
Artificial intelligence creates 40,000 new roles at Accenture — from computerweekly.com by Karl Flinders
Accenture is planning to add thousands of AI experts to its workforce as part of a $3bn investment in its data and artificial intelligence practice
Why leaders need to evolve alongside generative AI — from fastcompany.com by Kelsey Behringer
Even if you’re not an educator, you should not be sitting on the sidelines watching the generative AI conversation being had around you—hop in.
Excerpts (emphasis DSC):
Leaders should be careful to watch and support education right now. At the end of the day, the students sitting in K-12 and college classrooms are going to be future CPAs, lawyers, writers, and teachers. If you are parenting a child, you have skin in the game. If you use professional services, you have skin in the game. When it comes to education, we all have skin in the game.
…
Students need to master fundamental skills like editing, questioning, researching, and verifying claims before they can use generative AI exceptionally well.
GenAI & Education: Enhancement, not Replacement — from drphilippahardman.substack.com by Dr. Philipa Hardman
How to co-exist in the age of automation
Excerpts (emphasis DSC):
[On 6/15/23, I joined] colleagues from OpenAI, Google, Microsoft, Stanford, Harvard and other others at the first meeting of the GenAI Summit. Our shared goal [was] to help to educate universities & schools in Europe about the impact of Generative AI on their work.
…how can we effectively communicate to education professionals that generative AI will enhance their work rather than replace them?
A recent controlled study found that ChatGPT can help professionals increase their efficiency in routine tasks by ~35%. If we keep in mind that the productivity gains brought by the steam engine in the nineteenth century was ~25%, this is huge.
As educators, we should embrace the power of ChatGPT to automate the repetitive tasks which we’ve been distracted by for decades. Lesson planning, content creation, assessment design, grading and feedback – generative AI can help us to do all of these things faster than ever before, freeing us up to focus on where we bring most value for our students.
Google, one of AI’s biggest backers, warns own staff about chatbots — from reuters.com by Jeffrey Dastin and Anna Tong
Excerpt:
SAN FRANCISCO, June 15 (Reuters) – Alphabet Inc (GOOGL.O) is cautioning employees about how they use chatbots, including its own Bard, at the same time as it markets the program around the world, four people familiar with the matter told Reuters.
The Google parent has advised employees not to enter its confidential materials into AI chatbots, the people said and the company confirmed, citing long-standing policy on safeguarding information.
The economic potential of generative AI: The next productivity frontier — from mckinsey.com
Generative AI’s impact on productivity could add trillions of dollars in value to the global economy—and the era is just beginning.
Preparing for the Classrooms and Workplaces of the Future: Generative AI in edX — from campustechnology.com by Mary Grush
A Q&A with Anant Agarwal
Adobe Firefly for the Enterprise — Dream Bigger with Adobe Firefly.
Dream it, type it, see it with Firefly, our creative generative AI engine. Now in Photoshop (beta), Illustrator, Adobe Express, and on the web.
Apple Vision Pro, Higher Education and the Next 10 Years — from insidehighered.com by Joshua Kim
How this technology will play out in our world over the next decade.
Zoom can now give you AI summaries of the meetings you’ve missed — from theverge.com by Emma Roth
Mercedes-Benz Is Adding ChatGPT to Cars for AI Voice Commands — from decrypt.co by Jason Nelson; via Superhuman
The luxury automaker is set to integrate OpenAI’s ChatGPT chatbot into its Mercedes-Benz User Experience (MBUX) feature in the U.S.
On 06/16/2023,
in attention, creativity, digital audio, digital video, education, education technology, Emotion, engagement / engaging students, experimentation, homeschooling/homeschoolers, ideas, instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, love of learning, multimedia, music, passions, pedagogy, productivity / tips and tricks, professional development, teachers, youth,
by Daniel Christian
Teaching With Music: 5 Tips for Using it With Any Subject — from by Erik Ofgang
Tips for teaching with music as a helpful learning tool regardless of the subject from school social worker Sherena Small
Excerpt:
Teaching with music can enhance learning in almost any subject area, says Sherena Small, a school social worker at Champaign Unit 4 School District in Illinois.
“It’s just such a good way to enhance what kids are learning,” says Small, who uses hip-hop and other music to teach social-emotional learning skills, including empathy and active listening. Earlier this year, Nearpod recognized Small as an Educator of the Year for her innovative efforts using Nearpod’s Flocabulary tool to incorporate music into class.
Speaking of multimedia, also see:
And here’s another interesting item from Dr. Burns:
