Ernst and Young dug a little deeper. “Today’s disruptive working landscape requires organisations to largely restructure the way they are doing work,” they noted in a bulletin in March this year. “Time now spent on tasks will be equally divided between people and machines. For these reasons, workforce roles will change and so do the skills needed to perform them.”
The World Economic Forum has pointed to this global skills gap and estimates that, while 85 million jobs will be displaced, 50% of all employees will need reskilling and/or upskilling by 2025. This, it almost goes without saying, will require Learning and Development departments to do the heavy-lifting in this initial transformational phase but also in an on-going capacity.
“And that’s the big problem,” says Hardman. “2025 is only two and half years away and the three pillars of L&D – knowledge transference, knowledge reinforcement and knowledge assessment – are crumbling. They have been unchanged for decades and are now, faced by revolutionary change, no longer fit for purpose.”
ChatGPT is the shakeup education needs— from eschoolnews.com by Joshua Sine As technology evolves, industries must evolve alongside it, and education is no exception–especially when students heavily and regularly rely on edtech
Key points:
Education must evolve along with technology–students will expect it
Embracing new technologies helps education leverage adaptive technology that engage student interest
So you think you want to hire an instructional designer. Great choice. Instructional designers are eLearning industry superheroes. They create learning experiences and develop instructional materials to make learning accessible. Whether you’re creating training modules for your employees or building online courses for students, an instructional designer is an essential member of your eLearning team.
Addendum on 6/6/23, a somewhat relevant posting:
Professional Organizations for Instructional Designers — from christytuckerlearning.com by Christy Tucker What professional organizations are useful for instructional designers? The Learning Guild, ATD, TLDC, Training Magazine Network, and LDA.
In the fifth free webinar on AI for Education, I am joined by Dean Pearman, Head of Education at Beaconhills College and Tom Oliphant, Head of Technology and Enterprise at St John’s Grammar School. We explore questions about creativity, design and the new skills that are emerging. Join us to invest in your AI Literacy. Expand your toolset, broaden your understanding, and challenge your thinking.
You are watching the fourth free webinar, a dialogue about AI for education with Sophie Fenton, Steve Brophy and hosted by Tom Barrett Building Blocks – key AI concepts to learn. Practical frameworks for navigating the challenges of AI for education. Be part of a dialogue on provocations about AI and human centred education, truth and identity.
Using ChatGPT in Math Lesson Planning — from edutopia.org by Kristen Moore Artificial intelligence tools are useful beyond language arts classes. Math teachers can use them to save time and create interesting lessons.
Democratic Inputs to AI — from openai.com Our nonprofit organization, OpenAI, Inc., is launching a program to award ten $100,000 grants to fund experiments in setting up a democratic process for deciding what rules AI systems should follow, within the bounds defined by the law.
AI Canon — from a16z.com (Andreessen Horowitz) by Derrick Harris, Matt Bornstein, and Guido Appenzeller; via The Neuron newsletter
Excerpts:
Research in artificial intelligence is increasing at an exponential rate. It’s difficult for AI experts to keep up with everything new being published, and even harder for beginners to know where to start. So, in this post, we’re sharing a curated list of resources we’ve relied on to get smarter about modern AI. We call it the “AI Canon” because these papers, blog posts, courses, and guides have had an outsized impact on the field over the past several years.
Last night, Jensen Huang of NVIDIA gave his very first live keynote in 4-years.
The most show-stopping moment from the event was when he showed off the real-time AI in video games. A human speaks, the NPC responds, in real time and the dialogue was generated with AI on the fly. pic.twitter.com/TDoUM1zSiy
Bill Gates says AI is poised to destroy search engines and Amazon — from futurism.com by Victor Tangermann Who will win the AI [competition]? (DSC: I substituted the word competition here, as that’s what it is. It’s not a war, it’s a part of America’s way of doing business.)
“Whoever wins the personal agent, that’s the big thing, because you will never go to a search site again, you will never go to a productivity site, you’ll never go to Amazon again,” Gates said during a Goldman Sachs event on AI in San Francisco this week, as quoted by CNBC.
These AI assistants could “read the stuff you don’t have time to read,” he said, allowing users to get to information without having to use a search engine like Google.
The online learning platform edX introduced two new tools on Friday based on OpenAI’s ChatGPT technology: an edX plugin for ChatGPT and a learning assistant embedded in the edX platform, called Xpert.
According to the company, its plugin will enable ChatGPT Plus subscribers to discover educational programs and explore learning content such as videos and quizzes across edX’s library of 4,200 courses.
Bing is now the default search for ChatGPT— from theverge.com by Tom Warren; via superhuman.beehiiv.com The close partnership between Microsoft and OpenAI leads to plug-in interoperability and search defaults.
Excerpt:
OpenAI will start using Bing as the default search experience for ChatGPT. The new search functionality will be rolling out to ChatGPT Plus users today and will be enabled for all free ChatGPT users soon through a plug-in in ChatGPT.
Students with mobility challenges may find it easier to use generative AI tools — such as ChatGPT or Elicit — to help them conduct research if that means they can avoid a trip to the library.
Students who have trouble navigating conversations — such as those along the autism spectrum — could use these tools for “social scripting.” In that scenario, they might ask ChatGPT to give them three ways to start a conversation with classmates about a group project.
Students who have trouble organizing their thoughts might benefit from asking a generative AI tool to suggest an opening paragraph for an essay they’re working on — not to plagiarize, but to help them get over “the terror of the blank page,” says Karen Costa, a faculty-development facilitator who, among other things, focuses on teaching, learning, and living with ADHD. “AI can help build momentum.”
ChatGPT is good at productive repetition. That is a practice most teachers use anyway to reinforce learning. But AI can take that to the next level by allowing students who have trouble processing information to repeatedly generate examples, definitions, questions, and scenarios of concepts they are learning.
It’s not all on you to figure this out and have all the answers. Partner with your students and explore this together.
This week I spent a few days at the ASU/GSV conference and ran into 7,000 educators, entrepreneurs, and corporate training people who had gone CRAZY for AI.
No, I’m not kidding. This community, which makes up people like training managers, community college leaders, educators, and policymakers is absolutely freaked out about ChatGPT, Large Language Models, and all sorts of issues with AI. Now don’t get me wrong: I’m a huge fan of this. But the frenzy is unprecedented: this is bigger than the excitement at the launch of the i-Phone.
Second, the L&D market is about to get disrupted like never before. I had two interactive sessions with about 200 L&D leaders and I essentially heard the same thing over and over. What is going to happen to our jobs when these Generative AI tools start automatically building content, assessments, teaching guides, rubrics, videos, and simulations in seconds?
The answer is pretty clear: you’re going to get disrupted. I’m not saying that L&D teams need to worry about their careers, but it’s very clear to me they’re going to have to swim upstream in a big hurry. As with all new technologies, it’s time for learning leaders to get to know these tools, understand how they work, and start to experiment with them as fast as you can.
Speaking of the ASU+GSV Summit, see this posting from Michael Moe:
Last week, the 14th annual ASU+GSV Summit hosted over 7,000 leaders from 70+ companies well as over 900 of the world’s most innovative EdTech companies. Below are some of our favorite speeches from this year’s Summit…
High-quality tutoring is one of the most effective educational interventions we have – but we need both humans and technology for it to work. In a standing-room-only session, GSE Professor Susanna Loeb, a faculty lead at the Stanford Accelerator for Learning, spoke alongside school district superintendents on the value of high-impact tutoring. The most important factors in effective tutoring, she said, are (1) the tutor has data on specific areas where the student needs support, (2) the tutor has high-quality materials and training, and (3) there is a positive, trusting relationship between the tutor and student. New technologies, including AI, can make the first and second elements much easier – but they will never be able to replace human adults in the relational piece, which is crucial to student engagement and motivation.
ChatGPT, Bing Chat, Google’s Bard—AI is infiltrating the lives of billions.
The 1% who understand it will run the world.
Here’s a list of key terms to jumpstart your learning:
Being “good at prompting” is a temporary state of affairs.The current AI systems are already very good at figuring out your intent, and they are getting better. Prompting is not going to be that important for that much longer. In fact, it already isn’t in GPT-4 and Bing. If you want to do something with AI, just ask it to help you do the thing. “I want to write a novel, what do you need to know to help me?” will get you surprisingly far.
…
The best way to use AI systems is not to craft the perfect prompt, but rather to use it interactively. Try asking for something. Then ask the AI to modify or adjust its output. Work with the AI, rather than trying to issue a single command that does everything you want. The more you experiment, the better off you are. Just use the AI a lot, and it will make a big difference – a lesson my class learned as they worked with the AI to create essays.
From DSC: Agreed –> “Being “good at prompting” is a temporary state of affairs.” The User Interfaces that are/will be appearing will help greatly in this regard.
From DSC: Bizarre…at least for me in late April of 2023:
FaceTiming live with AI… This app came across the @ElunaAI Discord and I was very impressed with its responsiveness, natural expression and language, etc…
Feels like the beginning of another massive wave in consumer AI products.
The rise of AI-generated music has ignited legal and ethical debates, with record labels invoking copyright law to remove AI-generated songs from platforms like YouTube.
Tech companies like Google face a conundrum: should they take down AI-generated content, and if so, on what grounds?
Some artists, like Grimes, are embracing the change, proposing new revenue-sharing models and utilizing blockchain-based smart contracts for royalties.
The future of AI-generated music presents both challenges and opportunities, with the potential to create new platforms and genres, democratize the industry, and redefine artist compensation.
The Need for AI PD — from techlearning.com by Erik Ofgang Educators need training on how to effectively incorporate artificial intelligence into their teaching practice, says Lance Key, an award-winning educator.
“School never was fun for me,” he says, hoping that as an educator he could change that with his students. “I wanted to make learning fun.” This ‘learning should be fun’ philosophy is at the heart of the approach he advises educators take when it comes to AI.
At its 11th annual conference in 2023, educational company Coursera announced it is adding ChatGPT-powered interactive ed tech tools to its learning platform, including a generative AI coach for students and an AI course-building tool for teachers. It will also add machine learning-powered translation, expanded VR immersive learning experiences, and more.
Coursera Coach will give learners a ChatGPT virtual coach to answer questions, give feedback, summarize video lectures and other materials, give career advice, and prepare them for job interviews. This feature will be available in the coming months.
From DSC: Yes…it will be very interesting to see how tools and platforms interact from this time forth. The term “integration” will take a massive step forward, at least in my mind.
Learning happens throughout life and is not isolated to the K-12 or higher education sectors. Yet, often, validations of learning only happen in these specific areas. The system of evaluation based on courses, grades, and credit serves as a poor proxy for communicating skills given the variation in course content, grade inflation, and inclusion of participation and extra credit within course grades.
Credentialed learning provides a way to accurately document human capability for all learners throughout their life. A lifetime credentialed learning ecosystem provides better granularity around learning, better documentation of the learning, and more relevance for both the credential recipient and reviewer. This improves the match between higher education and/or employment with the individual, while also providing a more clear and accurate lifetime learning pathway.
With a fully-credentialed system, individuals can own well-documented evidence of a lifetime of learning and choose what and when to share this data. This technology enables every learner to have more opportunities for finding the best career match without today’s existing barriers around cost, access, and proxies.
Addendum on 4/28/23 — speaking of credentials:
First Rung — from the-job.beehiiv.com by Paul Fain New research shows stacking credentials pays off for low-income learners.
Stacking credentials pays off for many low-income students, new research finds, but only if learners move up the education ladder. Also, Kansas is hoping a new grant program will attract more companies to participate in microinternships.
Last week I received a text message from a friend to check out a March 29th Campus Technology article about French AI startup, Nolej. Nolej (pronounced “Knowledge”) has developed an OpenAI-based instructional content generator for educators called NolejAI.
Access to NolejAI is through a browser. Users can upload video, audio, text documents, or a website url. NolejAI will generate an interactive micro-learning package which is a standalone digital lesson including content transcript, summaries, a glossary of terms, flashcards, and quizzes. All the lesson materials generated is based upon the uploaded materials.
From DSC: I wonder if this will turn out to be the case:
I am sure it’s only a matter of time before NolejAI or another product becomes capable of generating a standard three credit hour college course. Whether that is six months or two years, it’s likely sooner than we think.
A recent analysis by researchers at NYU, Princeton and the Wharton School finds that many of the jobs that will be most “exposed” to generative AI such as ChatGPT are in the college teaching profession.
One of the first narratives to emerge from the sudden explosion in usage of ChatGPT is the risk of students cheating on writing assignments.
But use by college teachers is growing quickly too, and adoption by educators may be critical to making the case that AI will augment the jobs humans are doing rather than replace them.
6 Ways to Use ChatGPT to Save Time— from edutopia.org by Todd Finley Teachers can use the artificial intelligence tool to effectively automate some routine tasks.
Excerpt:
In the paragraphs that follow, I’ve divided these tasks into the following categories: planning instruction, handouts and materials, differentiation, correspondence, assessment, and writing instruction and feedback. Welcome to the revolution.
Lesson plans: Ask ChatGPT to write a lesson plan on, say, Westward Expansion. The tool composes assessments, activities, scaffolding, and objectives. Want that in the form of problem-based learning or revised for a flipped classroom? ChatGPT can adjust the lesson plan according to your instructions.
But one thing that is not changing is the best way for people to learn. We have made large advances in recent years in understanding pedagogy – the science of learning. We know some of the most effective techniques for making sure material sticks and that it can be retrieved and used when needed most.
Unfortunately, many of these advanced pedagogical techniques are time-consuming to prepare, and many instructors are often overworked and do not have the resources and time to add them to their teaching repertoire. But AI can help. In the rush to deliver AI benefits directly to students, the role of teachers is often overlooked.
Digital literacy is more important than ever. Artificial-intelligence tools, and generative AI in particular, raise a host of ethical, political, economic, and social questions. Plus, this tech is soon going to be everywhere, including students’ future professions. (The technology behind ChatGPT, in fact, just got an upgrade this week.) Colleges need to figure out how to graduate digitally savvy students in all disciplines.
“The integration of technology into our lives is so pervasive that the restriction of education about AI to the computer scientists and the computer engineers makes no more sense than the restriction of taking English classes by English majors,” said Weber.
I share here ten guiding principles that have shaped my design and facilitation of virtual synchronous edtech workshops. These guiding principles are based on lessons learned in both my previous role as a professional learning specialist at a major technology company and my current role as a faculty developer at a university. In the spirit of James M. Lang’s book Small Teaching, my hope is that the principles shared here may prompt reflection on the small yet impactful moves academic technology specialists, instructional designers, and educational developers can make to create virtual learning experiences whereby faculty leave feeling better equipped to implement the edtech tools they have learned.
Somewhat relevant/see:
Evidence-Based Learning Design 101 — by Dr. Philippa Hardman A practical guide on how to bake the science of learning into the art of course design
Excerpt:
As I reflect on the experience and what I’ve learned so far, I thought I’d share a response to the question I probably get asked most: what process do you use to go from an idea to a designed learning experience?
So, let’s do a rapid review of the four step process I and my bootcamp alumni use – aka the DOMS™? process – to go from zero to a designed learning experience.
ChatGPT as a teaching tool, not a cheating tool — from timeshighereducation.com by Jennifer Rose How to use ChatGPT as a tool to spur students’ inner feedback and thus aid their learning and skills development
Excerpt:
Use ChatGPT to spur student’s inner feedback
One way that ChatGPT answers can be used in class is by asking students to compare what they have written with a ChatGPT answer. This draws on David Nicol’s work on making inner feedback explicit and using comparative judgement. His work demonstrates that in writing down answers to comparative questions students can produce high-quality feedback for themselves which is instant and actionable. Applying this to a ChatGPT answer, the following questions could be used:
Which is better, the ChatGPT response or yours? Why?
What two points can you learn from the ChatGPT response that will help you improve your work?
What can you add from your answer to improve the ChatGPT answer?
How could the assignment question set be improved to allow the student to demonstrate higher-order skills such as critical thinking?
How can you use what you have learned to stay ahead of AI and produce higher-quality work than ChatGPT?
Last week, as I was interviewing Shaun Vecera about a new initiative he directs at the University of Iowa, he made a comment that stopped me in my tracks. The initiative, Learning at Iowa, is meant to create a common vocabulary, based on cognitive science, to support learning across the university. It focuses on “the three M’s for effective learning”: mind-set, metacognition, and memory.
“Not because those are the wrong ways of talking about that. But when you talk about learning, I think you can easily see how these skills transfer across not just courses, but also transfer from the university into a career.”
From DSC: This reminds me of what I was trying to get at here — i.e., let’s provide folks with more information on learning how to learn.
When the researchers asked their interview subjects how they first learned about peer instruction, many more cited informal discussions with colleagues than cited more formal channels like workshops. Even fewer pointed to a book or an article.
So even when there’s a really well-developed recipe, professors aren’t necessarily reading it.
…
In higher ed, teaching is often seen as something anyone who knows the content can automatically do. But the evidence suggests instead that teaching is an intellectual exercise that adds to subject-matter expertise.
This teaching-specific math knowledge, the researchers note, could be acquired in teacher preparation or professional development, however, it’s usually created on the job.
“Now, I’m much more apt to help them develop a deeper understanding of how people learn from a neuroscientific and cognitive-psychology perspective, and have them develop a model for how students learn.”
Erika Offerdahl, associate vp and director of the Transformational Change Initiative at WSU
From DSC: I love this part too:
There’s a role here, too, for education researchers. Not every evidence-based teaching practice has been broken into its critical components in the literature,
