Generative AI will require skills upgrades for workers, according to a report from IBM based on a survey of executives from around the world. One finding: Business leaders say 40% of their workforces will need to reskill as AI and automation are implemented over the next three years. That could translate to 1.4 billion people in the global workforce who require upskilling, according to the company.
If you are an e-learning professional, you know how important it is to showcase your skills and projects to potential clients, employers, or collaborators. An e-learning portfolio is a collection of your best work that demonstrates your abilities, creativity, and experience in designing, developing, and delivering online learning solutions. But how do you create and maintain an e-learning portfolio without pitfalls? In this article, you will learn some tips and best practices to help you avoid common mistakes and make your portfolio stand out.
Speaking of career-related postings, I thought this was an interesting article:
There’s a common misconception that our résumés ought to tell a linear story, free from breaks, twists, and turns. But this assumption is not borne out in reality. Nearly three out of every four college graduates work in a field unrelated to their major. The average worker holds over a dozen jobs by their fifties. And over half of today’s college students will work jobs that don’t yet exist.
Taking a nontraditional path will force you to grapple with what matters The greatest benefit of a nontraditional path is that you have to figure out what you care about. Rather than an employer telling you what you should value, you have to do the hard work of determining what you value for yourself.
So, as educators, mentors, and guides to our future generations, we must ask ourselves three pivotal questions:
What value do we offer to our students?
What value will they need to offer to the world?
How are we preparing them to offer that value?
The answers to these questions are crucial, and they will redefine the trajectory of our education system.
We need to create an environment that encourages curiosity, embraces failure as a learning opportunity, and celebrates diversity. We need to teach our students how to learn, how to ask the right questions, and how to think for themselves.
Leveraging ChatGPT for learning is the most meaningful skill this year for lifelong learners. But it’s too hard to find resources to master it.
As a learning science nerd, I’ve explored hundreds of prompts over the past months. Most of the advice doesn’t go beyond text summaries and multiple-choice testing.
That’s why I’ve created this article — it merges learning science with prompt writing to help you learn anything faster.
Midjourney AI Art for Teachers (for any kind of teacher, not just Art Teachers) — from The AI Educator on YouTube by Dan Fitzpatrick
From DSC: This is a very nice, clearly illustrated, free video to get started with the Midjourney (text-to-image) app. Nice work Dan!
In the new-normal of generative AI, how does one articulate the value of academic integrity? This blog presents my current response in about 2,500 words; a complete answer could fill a sizable book.
Massive amounts of misinformation are disseminated about generative AI, so the first part of my discussion clarifies what large language models (Chat-GPT and its counterparts) can currently do and what they cannot accomplish at this point in time. The second part describes ways in which generative AI can be misused as a means of learning; unfortunately, many people are now advocating for these mistaken applications to education. The third part describes ways in which large language models (LLM), used well, may substantially improve learning and education. I close with a plea for a robust, informed public discussion about these topics and issues.
Many of the more than a dozen teachers TIME interviewed for this story argue that the way to get kids to care is to proactively use ChatGPT in the classroom.
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Some of those creative ideas are already in effect at Peninsula High School in Gig Harbor, about an hour from Seattle. In Erin Rossing’s precalculus class, a student got ChatGPT to generate a rap about vectors and trigonometry in the style of Kanye West, while geometry students used the program to write mathematical proofs in the style of raps, which they performed in a classroom competition. In Kara Beloate’s English-Language Arts class, she allowed students reading Shakespeare’s Othello to use ChatGPT to translate lines into modern English to help them understand the text, so that they could spend class time discussing the plot and themes.
I found that other developed countries share concerns about students cheating but are moving quickly to use AI to personalize education, enhance language lessons and help teachers with mundane tasks, such as grading. Some of these countries are in the early stages of training teachers to use AI and developing curriculum standards for what students should know and be able to do with the technology.
Several countries began positioning themselves several years ago to invest in AI in education in order to compete in the fourth industrial revolution.
AI in Education— from educationnext.org by John Bailey The leap into a new era of machine intelligence carries risks and challenges, but also plenty of promise
In the realm of education, this technology will influence how students learn, how teachers work, and ultimately how we structure our education system. Some educators and leaders look forward to these changes with great enthusiasm. Sal Kahn, founder of Khan Academy, went so far as to say in a TED talk that AI has the potential to effect “probably the biggest positive transformation that education has ever seen.” But others warn that AI will enable the spread of misinformation, facilitate cheating in school and college, kill whatever vestiges of individual privacy remain, and cause massive job loss. The challenge is to harness the positive potential while avoiding or mitigating the harm.
Generative AI and education futures — from ucl.ac.uk Video highlights from Professor Mike Sharples’ keynote address at the 2023 UCL Education Conference, which explored opportunities to prosper with AI as a part of education.
Bringing AI Literacy to High Schools— from by Nikki Goth Itoi Stanford education researchers collaborated with teachers to develop classroom-ready AI resources for high school instructors across subject areas.
To address these two imperatives, all high schools need access to basic AI tools and training. Yet the reality is that many underserved schools in low-income areas lack the bandwidth, skills, and confidence to guide their students through an AI-powered world. And if the pattern continues, AI will only worsen existing inequities. With this concern top of mind plus initial funding from the McCoy Ethics Center, Lee began recruiting some graduate students and high school teachers to explore how to give more people equal footing in the AI space.
The company is increasingly emphasizing its portfolio of products built around the Canvas LMS, what they call the Instructure Unified Learning Platform. Perhaps the strongest change in message is the increased emphasis on the EdTech Collective, Instructure’s partner ecosystem. In fact, two of the three conference press releases were on the ecosystem – describing the 850 partners as “a larger partner community than any other LMS provider” and announcing a partnership with Khan Academy with its Khanmigo AI-based tutoring and teaching assistant tool (more on generative AI approach below).
The Anthology conference, held from July 17-19, marked the second gathering since Blackboard ceased operating as a standalone company and transformed into a brand for a product line.
What stood out was not just the number of added features but the extent to which these enhancements were driven by customer input. There has been a noticeable shift in how Anthology listens to clients, which had been a historical weakness for Blackboard. This positive change was emphasized not only by Anthology executives, but more importantly by customers themselves, even during unscripted side conversations.
D2L is a slow burn company, and in the past eight years in a good way. The company started working on its move to the cloud, tied to its user experience redesign as Brightspace, in 2014. Five years later, the company’s LMS was essentially all cloud (with one or two client exceptions). More importantly, D2L Brightspace in this time period became fully competitive with Instructure Canvas, winning head-to-head competitions not just due to specialized features but more broadly in terms of general system usability and intuitive design. That multi-year transformation is significant, particularly for a founder-led company.
The urgency to fill existing and prospective positions with digital talent and to upskill those already in the workforce are among the reasons why leading companies have boldly assessed and transformed their enterprise talent management strategies. Some key initiatives leading companies are undertaking include:
Direct involvement by the C-Suite in the formulation of the enterprise talent strategy and lifecycle;
A paradigmatic hiring shift from diplomas to skills;
Increased investment in upskilling and career advancement to promote retention and to identify high-performers early on;
Targeted collaboration with universities focused on training in areas of existing and projected talent supply demand
Promoting a learning-for-life mindset and encouraging creative thinking, cross-cultural collaboration, and forging a culture that values these and other humanistic values.
Collaborating with other companies to create joint solutions for fulfilling skill demand
Consider this comparison: In more passive online learning, a participant will learn primarily by listening, watching and observing. Conversely, in an interactive model, the participant will be expected to engage with a story or situation by being asked to make choices that will show potential consequences.
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Here are some of the elements that, when combined, make interactive learning especially effective:
Inspired by my recent Review: Shure MV7 dynamic hybrid studio microphone – near, far and beyond, Beaker Films of Fairfield, Connecticut, US has developed and deployed a first batch of 10 kits to capture remote conversations from different locations worldwide. Beaker Films is frequently contracted to record remote interviews or testimonials from medical professionals. For this project, Beaker Films’ clients wanted consistent, high quality audio and video, but with 3 additional challenges: they preferred to have no visible microphone in the shot, they needed a teleprompter function and the whole kit needed to be as simple as possible for non-technical guests.
West Suffolk College in the UK has opened its Extended Reality Lab (XR Lab), the facilities comprise of four distinct areas: an Immersion Lab, a Collaboration Theatre, a Green Room, and a Conference Room. The project was designed by architects WindsorPatania for Eastern Colleges Group.
Systems integrator CJP Broadcast Service Solutions, has won a tender to build a virtual production environment for Solent University in the UK.
The new facilities, converted from an existing studio space, will provide students on the film production courses with outstanding opportunities to develop their creative output.
Generative AI and the future of work in America — from mckinsey.com by Kweilin Ellingrud, Saurabh Sanghvi, Gurneet Singh Dandona, Anu Madgavkar, Michael Chui, Olivia White, and Paige Hasebe
At a glance
During the pandemic (2019–22), the US labor market saw 8.6 million occupational shifts, 50 percent more than in the previous three-year period.
By 2030, activities that account for up to 30 percent of hours currently worked across the US economy could be automated—a trend accelerated by generative AI.
Federal investment to address climate and infrastructure, as well as structural shifts, will also alter labor demand.
An additional 12 million occupational transitions may be needed by 2030.
The United States will need workforce development on a far larger scale as well as more expansive hiring approaches from employers.
Employers will need to hire for skills and competencies rather than credentials, recruit from overlooked populations (such as rural workers and people with disabilities), and deliver training that keeps pace with their evolving needs.
The AI-Powered, Totally Autonomous Future of War Is Here — from wired.com by Will Knight Ships without crews. Self-directed drone swarms. How a US Navy task force is using off-the-shelf robotics and artificial intelligence to prepare for the next age of conflict.
From DSC: Hhhhmmmmm…..not good. Is anyone surprised by this? No, I didn’t think so either. That’s why the United States and China are so heated up about semiconductor chips.
The proliferation of new technologies like generative artificial intelligence is making recent graduates uneasy, a new study released Thursday found. A third of the 1,000 people who graduated in the past year said they are second-guessing their career choice, while roughly half reported questioning their workforce preparedness and feeling threatened by AI, according to the 2023 Employability Report by Cengage Group, a global education technology company.
“The workplace has changed rapidly in the last few years, and now we are witnessing a new shift asAI begins to reshape worker productivity, job requirements, hiring habits and even entire industries,” Michael Hansen, Cengage Group CEO, said in a news release.
More than half of recent graduates question whether they are properly prepared for the workforce in light of the rise of artificial intelligence, a survey finds.
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There is also more of a preference for skills training credentials. Among employers, nearly 40 percent said skills training credentials are most important, while only 19 percent ranked a college degree as most important.
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However, recent graduates did cite an issue with most higher education institutions’ ability to teach employability skills. In 2023, 43 percent of students said their degree program taught them the necessary skills for their first job, down 20 percentage points from 2022.
The news is that Instructure, one of the few public education companies and the market leader in learning management with their signature product Canvas, struck a partnership with Khan Academy to create an AI-powered tutoring and teaching assistant tool – merging Khan’s innovative instructional content and Instructure’s significant reach, scale, and data insights. The partnership and related tools will be known as Khanmigo, according to the announcement.
On brand names alone, this is a big deal. On potential impact, it could be even bigger.
How To Use AI to Write Scenarios — from christytuckerlearning.com by Christy Tucker How can you use AI to write scenarios for learning? Read this example with prompts and results using ChatGPT and Bard.
Excerpts:
So far, I have found these tools helpful in generating ideas, writing first drafts, and summarizing. They work better for general knowledge tasks than really specific topics unless I provide more details to them, which makes sense.
This post isn’t going to give you “5 magical prompts to instantly write scenarios for you” or anything like that. Instead, this is a “working out loud” post where I’ll share some prompts I have used.
DC: I’m sympathetic to those who are supposed to be making policy when what we’re dealing with continues to evolve/change so quickly. https://t.co/1KB8dSFWaO
— Daniel Christian (he/him/his) (@dchristian5) July 27, 2023
The Rise of the Talent Economy — from drphilippahardman.substack.com by Dr. Philippa Hardman How Education & Training Will Dictate the Future & Impact of AI
“Talent, more than capital, will represent the critical factor of production.” … In short, the demand for AI skills requires a significant transformation in training and education models. To bridge the global skills gap, educational institutions, online learning providers, and employers must design and deliver training programs that cater to the rapidly evolving AI-driven labor market.
To combat this problem, we modified some of our prompts this summer to try to prevent students from using AI to avoid learning. I’m sharing some of our strategies in the hope that they help you out as you adapt your course to a world of generative AI.
Use prompts that force a personal opinion.
Have students include their source(s) as an attachment.
The Rundown: A new cybercrime generative AI tool called FraudGPT is being advertised on the Dark web and Telegram channels, offering offensive capabilities like crafting spear-phishing emails and creating undetectable malware.
… Why it matters: Scammers can now look more realistic than ever before and at a larger scale. The sad truth is that the emergence of cybercrime AI tools like FraudGPT is just beginning.
From DSC: If true and if it could help build and/or contribute to cloud-based learner profiles, this could be huge.
It is kind of weird. So many sites that list Q&A’s – mine included, look at it from the reader’s standpoint – what I refer to as consumers, even though they may have an audience consisting of PEs (Private Equity), outside their industry (C-Level and similar), vendors in the specific industry (e-learning) and sub-segments OR just a variety of folks who are not on the consumer side of the house, instead on the vendor or investment side.
And yet, I receive a lot of inquiries from vendors, including PE and investment firms. They all have questions. They all seek answers. I will hold back from the investment and PE side; let’s take a peek at the vendor side.
The boom in artificial intelligence is touching nearly every industry, and eLearning is no exception. From content creation to instructional design, industry professionals and organizations are finding innovative ways to apply AI in elearning. Whether creating training modules for corporate employees or crafting educational programs, professionals are making AI part of their standard toolkit.
At Teamed, we have the privilege of working and speaking with people from all over the elearning industry including instructional designers, content developers, and organizations considering how to apply it for productivity and the benefit of learners. AI and machine learning come up frequently in these conversations. Here’s what we’ve learned and observed about AI in elearning from experts in our industry.
“…what if generative AI could provide every instructor with a genuine teaching assistant – a teaching assistant that actually assisted instructors with their teaching?”
For my cryptography course, Mollick’s first option would probably mean throwing out all my existing reading questions. My intent with these reading questions was noble, that is, to guide students to the big questions and debates in the field, but those are exactly the kinds of questions for which AI can write decent answers. Maybe the AI tools would fare worse in a more advanced course with very specialized readings, but in my intro to cryptography course, they can handle my existing reading questions with ease.
What about option two? I think one version of this would be to do away with the reading response assignment altogether.
Generative AI imagines new protein structures — from news.mit.edu by Rachel Gordon; resource from Sunday Signal MIT researchers develop “FrameDiff,” a computational tool that uses generative AI to craft new protein structures, with the aim of accelerating drug development and improving gene therapy.
Ready to Sing Elvis Karaoke … as Elvis? The Weird Rise of AI Music — from rollingstone.com by Brian Hiatt; resource from Misha da Vinci From voice-cloning wars to looming copyright disputes to a potential flood of nonhuman music on streaming, AI is already a musical battleground
Why use animation in eLearning? Many people may think of animation in terms of entertainment value alone. Animation is far more valuable for its ability to engage learners, explain or illustrate ideas, and improve recall of complex relationships, such as cause and effect.
Look up these specific animation types for use in your projects:
Whiteboard animation: Not necessary to be able to draw the characters. Multiple brands.
Humans are good storytellers, and humans respond well to stories. We know this from our own experience. Not only that, people remember stories for a long time, far longer than we remember a lot of teaching. Do you recall stories that someone in your family told you? Why don’t we remember lessons from school as long or as vividly? Stories are powerful if we know how to use them. In this article I will introduce you to a way to use stories to achieve outcomes.
Any time you are designing a course, a learning experience, or just pitching an idea to your boss or an L&D stakeholder, it’s a story. Even if it does not seem like one, a successful production—whether it is an animated presentation, a virtual supporting example or other content—is based on some fundamental storytelling tactics. It doesn’t have to begin “Once Upon A Time,” it just needs to be constructed the right way for your purpose – To make it a memory.
Fueled by new AI tools and skills technology, nearly every company wants to become a “skills-based organization.” Now that we’ve had a few years to study this trend, I’d like to share some of the realities and calm some of the hype.
According to Accessibility.com, at least 2,387 web accessibility lawsuits were filed in 2022. Those lawsuits were either filed under the Americans with Disabilities Act (ADA) or California’s Unruh Act; any violation of the ADA is considered a violation of the Unruh Act.
While the plaintiffs cited a variety of issues, multimedia accessibility is a common point of concern. In 2015, the National Association of the Deaf (NAD) and other plaintiffs settled a lawsuit with Netflix, which cited a lack of captions for certain featured movies and TV shows.
That prompts an interesting question: Does the ADA require captions for internet videos — and if so, how can businesses make sure that they’re compliant?
Rachel Kapp, M.Ed., BCET, and Stephanie Pitts, M.Ed., BCET welcome back College Learning Disability Specialist Elizabeth Hamblet to discuss her new book 7 Steps to College Success: A Pathway for Students with Disabilities. She discusses the origin story of the book and the disconnect between what college disability services can do for learners and what learners and parents expect. She talks about reading this book when the learner is in 8th grade because of the specific impact it can have on parent and learner decisions on course selection. Elizabeth discusses how parents and learners can get surprised in the college disability process. Elizabeth talks about the critical importance of non-academic skills and how the drive for success in high school can stand in the way of independence necessary for college success.
If you’re interested in accessible digital design, pay attention to Apple. The company seems to approach accessibility from the perspective of users with disabilities.
Apple’s messaging treats accessibility as a fundamental design principle: Accessibility must be built into digital systems from the start, not tacked on as an afterthought. In other words, they take an accessibility-first mindset, and their commitment seems consistent.
The company’s track record continued in May 2023, when Apple announced its latest suite of accessibility features to launch later that year. One of these features, Assistive Access for iPhone and iPad, holds valuable lessons that web designers can apply to their own work.
Here’s what Apple accomplished with Assistive Access, plus a few ways web designers can achieve similar goals.
Coursera’s Global Skills Report for 2023 — from coursera.org Benchmark talent and transform your workforce with skill development and career readiness insights drawn from 124M+ learners.
Excerpt:
Uncover global skill trends
See how millions of registered learners in 100 countries are strengthening critical business, technology, and data science skills.
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