The contract lifecycle management company Ironclad has tapped into the power of OpenAI’s GPT-3 to introduce AI Assist, a beta feature that instantly redlines contracts based on a company’s playbook of approved clauses and language.
The redlines, made using GPT-3’s generative artificial intelligence, appear as tracked changes in Microsoft Word, where a user can then scan the recommended changes and either accept or reject them.
Working remotely has brought a major shift to corporate training, making mobile learning more important than ever. Your top assets, and frankly your whole staff, will need to adjust to this new reality. To help you out, we decided to gather the best content providers for mobile learning in one place. Explore our top list and find the right partner to start your mobile learning project or even develop your own mobile app. Are you ready?
In this publication, we articulate the critical steps needed to unbundle the learning ecosystem, build core competencies, design learning experiences, curate new opportunities, and rebundle these experiences into coherent pathways. .
Vision
Every learner deserves an unlimited number of unbundled opportunities to explore, engage, and define experiences that advance their progress along a co-designed educational pathway. Each pathway provides equitable and personalized access to stacked learning experiences leading to post-secondary credentials and secure family-sustaining employment. Throughout the journey, supportive coaches focus on helping learners build skills to navigate with agency. In parallel, learners develop foundational skills (literacy, math), technical skills, and durable skills and connect these to challenging co-designed experiences. The breadth and depth of experiences increase over time, and, in partnership, learners and coaches map progress towards reaching community-defined goals. This vision is only enabled by an unbundled learning ecosystem.
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Recommendations
Solutions already exist in the ecosystem and need to be combined and scaled. Funding models (like My Tech High), badging/credentialing at the competency level (like VLACS), coaching models (like Big Thought), and open ecosystems (like NH Learn Everywhere) provide an excellent foundation. Thus, building unbundled systems has already begun but needs systemic changes to become widely available and accepted.
Build a robust competency-based system.
Create a two-way marketplace for unbundled learning.
Implement policy to support credit for out-of-system experiences.
Invest in technology infrastructure for Learning and Employment Records.
Design interoperable badging systems that connect to credentials.
Cleveland State case centers on remote proctoring software
Fourth Amendment protections in question before Sixth Circuit
Excerpt:
A legal dispute over a university’s use of exam proctoring software that allegedly scanned students’ rooms is set to shape the scope of Fourth Amendment and privacy protections for online college tests.
Cleveland State University last week asked a federal appeals court in Cincinnati to review a district court finding that the “room scans” were unconstitutional searches. The case could influence how other students litigate their privacy rights and change how universities virtually monitor their students during exams, attorneys said.
Now is the ideal time for a flexible and competent market leader to emerge and seize this opportunity, delivering personalized and lifelong educational solutions and experiences that meet the needs of a learning-hungry populace.
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Edtech businesses can address this widening skills gap and need for frequent job-switching through those same data-driven ecosystems, which can support the user through their career and leisure activities. For example, a user could sync their profile with their work’s employee portal to receive further professional development. Simultaneously, the technology would support the user during their spare time as they take courses or watch video content ranging from Adobe InDesign to gardening, further refining their skills. And, when it comes time to retire, the user’s trusted ecosystem has a backlog of data to recommend applicable hobbies and community events.
For example, a user could sync their profile with their work’s employee portal to receive further professional development.
From DSC: Let’s put together a nationwide campaign that would provide a website — or a series of websites if an agreement can’t be reached amongst the individual states — about learning how to learn. In business, there’s a “direct-to-consumer” approach. Well, we could provide a “direct-to-learner” approach — from cradle to grave. Seeing as how everyone is now required to be a lifelong learner, such a campaign would have enormous benefits to all of the United States. This campaign would be located in airports, subway stations, train stations, on billboards along major highways, in libraries, and in many more locations.
We could focus on things such as:
Quizzing yourself / retrieval practice
Spaced retrieval
Interleaving
Elaboration
Chunking
Cognitive load
Learning by doing (active learning)
Journaling
The growth mindset
Metacognition (thinking about one’s thinking)
Highlighting doesn’t equal learning
There is deeper learning in the struggle
…and more.
NOTE:
The URL I’m using above doesn’t exist, at least not at the time of this posting.
But I’m proposing that it should exist.
A learning ecosystem is composed of people, tools, technologies, content, processes, culture, strategies, and any other resource that helps one learn. Learning ecosystems can be at an individual level as well as at an organizational level.
Some example components:
Subject Matter Experts (SMEs) such as faculty, staff, teachers, trainers, parents, coaches, directors, and others
Fellow employees
L&D/Training professionals
Managers
Instructional Designers
Librarians
Consultants
Types of learning
Active learning
Adult learning
PreK-12 education
Training/corporate learning
Vocational learning
Experiential learning
Competency-based learning
Self-directed learning (i.e., heutagogy)
Mobile learning
Online learning
Face-to-face-based learning
Hybrid/blended learning
Hyflex-based learning
Game-based learning
XR-based learning (AR, MR, and VR)
Informal learning
Formal learning
Lifelong learning
Microlearning
Personalized/customized learning
Play-based learning
Cloud-based learning apps
Coaching & mentoring
Peer feedback
Job aids/performance tools and other on-demand content
Websites
Conferences
Professional development
Professional organizations
Social networking
Social media – Twitter, LinkedIn, Facebook/Meta, other
Communities of practice
Artificial Intelligence (AI) — including ChatGPT, learning agents, learner profiles,
The $330 billion corporate training market is enormous, fragmented, and complex. For years it was dominated by Learning Management Systems (LMS) and content providers, each pioneered in the early 2000s. These systems served well, but the needs of employees and organizations moved ahead.
Today companies want not only a place to find and administer learning, they want a “Learning Platform” that creates mastery. And this market, that of “Learning Delivery Platforms,” is far more complex than you think. Let me put it straight: video-based chapter by chapter courses don’t teach you much. Companies want a solution that is expert-led, engaging, includes assignments and coaching, and connects employees to experts and peers.
Well there’s a new breed of platforms focused in this area, and I call them Capability Academy systems.
These are platforms explicitly to bring together expert teachers, AI-enabled collaboration, assignments, and coaching to drive mastery. They can train thousands of people in small cohorts, offering hands-on support for technical or PowerSkills topics. And the results are striking: these vendors achieve 90% completion rates and netPromoter scores above 60 (far above traditional content libraries).
The guide is packed with tools that can meet so many of your needs as a teacher, and many of them are already well established and widely used. But every January, we like to choose six that we think deserve a little extra attention. Most are not actually brand-new to the world, but each one has something special about it. So here we go!
6 Google Scholar Tips From Its Co-Creator— from techlearning.com by Erik Ofgang Google Scholar can be a great tool for teachers and their students. Here’s how to get the most out of it.
Excerpt:
Anurag Acharya co-created Google Scholar in 2004. The Google engineer and former professor of computer science at the University of California at Santa Barbara was inspired to create the free search tool after being frustrated by being unable to access research articles as a student at the Kharagpur campus of the Indian Institute of Technology.
Today, Acharya is head of Google Scholar and an authority on how the scholarly search engine can best be used by teachers and their students. He offers these tips and best practices for teachers to use and share with their students.
Teaching: A Path to L&D aims to provide free guidance to teachers looking to move into the world of Learning and Development, specifically Instructional Design. Check out our website at www.teachlearndev.org for free coaching, webinars, and resources to help you on your journey!
The use of digital tools that help to connect students with real-world learning opportunities will expand global awareness and transform the learning experience.
Here are 12 digital tools to consider using in 2023.
StoryJumper is a digital storytelling platform that gives students so many ways to share their learning. Students can choose different characters, props, and background scenes and even add audio to the books that they create. StoryJumper helps educators promote student choice, and spark curiosity and creativity as they design their stories. There are also libraries full of books to explore. Books can also be shared with classmates and families.
Here’s the list of sources: https://t.co/fJd4rh8kLy. The larger resource area at https://t.co/bN7CReGIEC has sample ChatGPT essays, strategies for mitigating harm, and questions for teachers to ask as well as a listserv.
— Anna Mills, amills@mastodon.oeru.org, she/her (@EnglishOER) January 11, 2023
Microsoft is reportedly eyeing a $10 billion investment in OpenAI, the startup that created the viral chatbot ChatGPT, and is planning to integrate it into Office products and Bing search.The tech giant has already invested at least $1 billion into OpenAI. Some of these features might be rolling out as early as March, according to The Information.
This is a big deal. If successful, it will bring powerful AI tools to the masses.So what would ChatGPT-powered Microsoft products look like? We asked Microsoft and OpenAI. Neither was willing to answer our questions on how they plan to integrate AI-powered products into Microsoft’s tools, even though work must be well underway to do so. However, we do know enough to make some informed, intelligent guesses. Hint: it’s probably good news if, like me, you find creating PowerPoint presentations and answering emails boring.
I have maintained for several years, including a book ‘AI for Learning’, that AI is the technology of the age and will change everything. This is unfolding as we speak but it is interesting to ask who the winners are likely to be.
People who have heard of GPT-3 / ChatGPT, and are vaguely following the advances in machine learning, large language models, and image generators. Also people who care about making the web a flourishing social and intellectual space.
That dark forest is about to expand. Large Language Models (LLMs) that can instantly generate coherent swaths of human-like text have just joined the party.
It is in this uncertain climate that Hassabis agrees to a rare interview, to issue a stark warning about his growing concerns. “I would advocate not moving fast and breaking things.”
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“When it comes to very powerful technologies—and obviously AI is going to be one of the most powerful ever—we need to be careful,” he says. “Not everybody is thinking about those things. It’s like experimentalists, many of whom don’t realize they’re holding dangerous material.” Worse still, Hassabis points out, we are the guinea pigs.
Demis Hassabis
Excerpt (emphasis DSC):
Hassabis says these efforts are just the beginning. He and his colleagues have been working toward a much grander ambition: creating artificial general intelligence, or AGI, by building machines that can think, learn, and be set to solve humanity’s toughest problems.Today’s AI is narrow, brittle, and often not very intelligent at all. But AGI, Hassabis believes, will be an “epoch-defining” technology—like the harnessing of electricity—that will change the very fabric of human life. If he’s right, it could earn him a place in history that would relegate the namesakes of his meeting rooms to mere footnotes.
But with AI’s promise also comes peril.In recent months, researchers building an AI system to design new drugs revealed that their tool could be easily repurposed to make deadly new chemicals. A separate AI model trained to spew out toxic hate speech went viral, exemplifying the risk to vulnerable communities online. And inside AI labs around the world, policy experts were grappling with near-term questions like what to do when an AI has the potential to be commandeered by rogue states to mount widespread hacking campaigns or infer state-level nuclear secrets.
Headteachers and university lecturers have expressed concerns that ChatGPT, which can provide convincing human-sounding answers to exam questions, could spark a wave of cheating in homework and exam coursework.
Now, the bot’s makers, San Francisco-based OpenAI, are trying to counter the risk by “watermarking” the bot’s output and making plagiarism easier to spot.
Students need now, more than ever, to understand how to navigate a world in which artificial intelligence is increasingly woven into everyday life. It’s a world that they, ultimately, will shape.
We hail from two professional fields that have an outsize interest in this debate. Joanne is a veteran journalist and editor deeply concerned about the potential for plagiarism and misinformation. Rebecca is a public health expert focused on artificial intelligence, who champions equitable adoption of new technologies.
We are also mother and daughter. Our dinner-table conversations have become a microcosm of the argument around ChatGPT, weighing its very real dangers against its equally real promise. Yet we both firmly believe that a blanket ban is a missed opportunity.
ChatGPT: Threat or Menace? — from insidehighered.com by Steven Mintz Are fears about generative AI warranted?
The rapid pace of change is driven by a “perfect storm” of factors, including the falling cost of computing power, the rise of data-driven decision-making, and the increasing availability of new technologies. “The speed of current breakthroughs has no historical precedent,”concluded Andrew Doxsey, co-founder of Libra Incentix, in an interview. “Unlike previous technological revolutions, the Fourth Industrial Revolution is evolving exponentially rather than linearly. Furthermore, it disrupts almost every industry worldwide.”
An updated version of the AI chatbot ChatGPT was recently released to the public.
I got the chatbot to write cover letters for real jobs and asked hiring managers what they thought.
The managers said they would’ve given me a call but that the letters lacked personality.
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I mentor a young lad with poor literacy skills who is starting a landscaping business. He struggles to communicate with clients in a professional manner.
I created a GPT3-powered Gmail account to which he sends a message. It responds with the text to send to the client. pic.twitter.com/nlFX9Yx6wR
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AI already does and will continue to impact education – along with every other sector.
Innovative education leaders have an opportunity to build the foundation for the most personalized learning system we have ever seen.
Action
Education leaders need to consider these possible futures now. There is no doubt that K-12 and higher ed learners will be using these tools immediately. It is not a question of preventing “AI plagiarism” (if such a thing could exist), but a question of how to modify teaching to take advantage of these new tools.
From DSC: They go on to list some solid ideas and experiments to try out — both for students and for teachers. Thanks Nate and Rachelle!
From DSC: A few items re: ChatGPT — with some items pro-chat and other items against the use of ChatGPT (or at least to limit its use).
How About We Put Learning at the Center? — from insidehighered.com by John Warner The ongoing freak-out about ChatGPT sent me back to considering the fundamentals.
Excerpt:
So, when people express concern that students will use ChatGPT to complete their assignments, I understand the concern, but what I don’t understand is why this concern is so often channeled into discussions about how to police student behavior, rather than using this as an opportunity to exam the kind of work we actually ask students (and faculty) to do around learning.
If ChatGPT can do the things we ask students to do in order to demonstrate learning, it seems possible to me that those things should’ve been questioned a long time ago. It’s why I continue to believe this technology is an opportunity for reinvention, precisely because it is a threat to the status quo.
Top AI conference bans use of ChatGPT and AI language tools to write academic papers — from theverge.com by James Vincent; with thanks to Anna Mills for this resource AI tools can be used to ‘edit’ and ‘polish’ authors’ work, say the conference organizers, but text ‘produced entirely’ by AI is not allowed. This raises the question: where do you draw the line between editing and writing?
Excerpt:
The International Conference on Machine Learning (ICML) announced the policy earlier this week, stating, “Papers that include text generated from a large-scale language model (LLM) such as ChatGPT are prohibited unless the produced text is presented as a part of the paper’s experimental analysis.” The news sparked widespread discussion on social media, with AI academics and researchers both defending and criticizing the policy. The conference’s organizers responded by publishing a longer statement explaining their thinking. (The ICML responded to requests from The Verge for comment by directing us to this same statement.)
I am protective of my organic writing process, but when it’s time to edit, ChatGPT sometimes helps me notice which sentences aren’t quite put together as they should be. When I ask it why it suggested a revision, it sometimes describes a word choice nuance I hadn’t thought of.
— Anna Mills, amills@mastodon.oeru.org, she/her (@EnglishOER) January 5, 2023
Instead, I want to discuss the opportunity provided by AI, because it can help us teach in new ways. The very things that make AI scary for educators — its tedency to make up facts, its lack of nuance, and its ability to make excellent student essays — can be used to make education better.
This isn’t for some future theoretical version of AI. You can create assignments, right now, using ChatGPT, that we will help stretch students in knew ways. We wrote a paper with the instructions. You can read it here, but I also want to summarize our suggestions. These are obviously not the only ways to use AI to educate, but they solve some of the hardest problems in education, and you can start experimenting with them right now.
New York City students and teachers can no longer access ChatGPT — the new artificial intelligence-powered chatbot that generates stunningly cogent and lifelike writing — on education department devices or internet networks, agency officials confirmed Tuesday.
SINGAPORE – Teachers in Singapore say they will likely have to move from assignments requiring regurgitation to those that require greater critical thinking, to stay ahead in the fight against plagiarism.
This comes on the back of the rise of ChatGPT, an intelligent chatbot that is able to spin essays and solve mathematical equations in seconds.
ChatGPT Is Not Ready to Teach Geometry (Yet)— from educationnext.org by Paul T. von Hippel The viral chatbot is often wrong, but never in doubt. Educators need to tread carefully.
Excerpt:
Can ChatGPT provide feedback and answer questions about math in a more tailored and natural way? The answer, for the time being, is no. Although ChatGPT can talk about math superficially, it doesn’t “understand” math with real depth. It cannot correct mathematical misconceptions, it often introduces misconceptions of its own; and it sometimes makes inexplicable mathematical errors that a basic spreadsheet or hand calculator wouldn’t make.
From DSC:
Check out the items below. As with most technologies, there are likely going to be plusses & minuses regarding the use of AI in digital video, communications, arts, and music.
DC: What?!? Wow. I should have seen this coming. I can see positives & negatives here. Virtual meetings could become a bit more creative/fun. But apps could be a bit scarier in some instances, such as with #telelegal.
In 2023, we are going to a huge increase in content creation generated by AI avatars. The use cases the infinite – from demos and tutorials to billboards and even ads.
? Here are 6 companies that are currently defining the future of content creation:
