platforms - Learning Ecosystems

ChatGPT as a teaching tool, not a cheating tool [Rose]

On 03/14/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, colleges, digital learning, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, IT in HE, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, pedagogy, personalized/customized learning, platforms, productivity / tips and tricks, professional development, teaching & learning, tools, UK, United States, universities, by Daniel Christian

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?

Exploring generative AI and the implications for universities — from universityworldnews.com

Excerpt:

This is part of a weekly University World News special report series on ‘AI and higher education’. The focus is on how universities are engaging with ChatGPT and other generative artificial intelligence tools. The articles from academics and our journalists around the world are exploring developments and university work in AI that have implications for higher education institutions and systems, students and staff, and teaching, learning and research.

Fostering sustainable learning ecosystems [Blessinger]

On 03/13/2023, in 21st century, Africa, Asia, Australia, Canada, change, collaboration, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, culture, curriculum, education, education technology, Europe, formal learning, future, future of higher education, game-changing environment, global / globalization, Google, higher education, ideas, informal learning, instructional design, K-12 related, leadership, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, legislatures / government / legal, lifelong learning, MOOCs -- Massive Open Online Courses, more voice more choice more control, platforms, policy, society, strategy, technology (general), tools, training / L&D, UK, United States, vision/possibilities, youth, by Daniel Christian

Fostering sustainable learning ecosystems — from linkedin.com by Patrick Blessinger

Excerpt (emphasis DSC):

Learning ecosystems
As today’s global knowledge society becomes increasingly interconnected and begins to morph into a global learning society, it is likely that formal, nonformal, and informal learning will become increasingly interconnected. For instance, there has been an explosion of new self-directed e-learning platforms such as Khan Academy, Open Courseware, and YouTube, among others, that help educate billions of people around the world.

A learning ecosystem includes all the elements that contribute to a learner’s overall learning experience. The components of a learning ecosystem are numerous, including people, technology platforms, knowledge bases, culture, governance, strategy, and other internal and external elements that have an impact on learning. Therefore, moving forward, it is crucial to integrate learning across formal, nonformal, and informal learning processes and activities in a more strategic way.

5 Ideas To Incorporate AI In Your eLearning Course — from elearningindustry.com by Christopher Pappas

Summary:

Artificial Intelligence is now taking the world of learning by storm. Here are 5 ways you can successfully incorporate AI in online learning.

Let’s say you’re training sales reps on handling different customer personalities. You can use this technology to diversify your branching scenarios so that trainees can also speak and not only type. This way, not only will the training become more realistic, but you’ll also be able to assess and work on additional elements, such as tone of voice, volume, speech tempo, etc.

Love it or hate it, academics can’t ignore the already pervasive technology. [McMurtrie]

On 03/11/2023, in 21st century, 24x7x365 access, adjunct faculty, change, colleges, community colleges, digital learning, disruption, education technology, emerging technologies, experimentation, faculty, future of higher education, game-changing environment, generational differences, higher education, human-computer interaction (HCI), instructional design, intelligent systems, intelligent tutoring, IT in HE, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, online media, online tutoring, platforms, productivity / tips and tricks, professional development, student-related, teaching & learning, tools, United States, universities, by Daniel Christian

ChatGPT is Everywhere — from chronicle.com by Beth McMurtrie
Love it or hate it, academics can’t ignore the already pervasive technology.

Excerpt:

Many academics see these tools as a danger to authentic learning, fearing that students will take shortcuts to avoid the difficulty of coming up with original ideas, organizing their thoughts, or demonstrating their knowledge. Ask ChatGPT to write a few paragraphs, for example, on how Jean Piaget’s theories on childhood development apply to our age of anxiety and it can do that.

Other professors are enthusiastic, or at least intrigued, by the possibility of incorporating generative AI into academic life. Those same tools can help students — and professors — brainstorm, kick-start an essay, explain a confusing idea, and smooth out awkward first drafts. Equally important, these faculty members argue, is their responsibility to prepare students for a world in which these technologies will be incorporated into everyday life, helping to produce everything from a professional email to a legal contract.

“Artificial-intelligence tools present the greatest creative disruption to learning that we’ve seen in my lifetime.”

Sarah Eaton, associate professor of education at the University of Calgary

6 Tenets of Postplagiarism: Writing in the Age of #ArtificialIntelligence – In my 2021 book, #Plagiarism in #HigherEducation, I introduce the idea of life in the post-plagiarism era. Here I expand on those ideas.https://t.co/DGzelD9phc pic.twitter.com/hHej4e55zq

— Dr. Sarah Elaine Eaton?? (@DrSarahEaton) February 25, 2023

Artificial intelligence and academic integrity, post-plagiarism — from universityworldnews.com Sarah Elaine Eaton; with thanks to Robert Gibson out on LinkedIn for the resource

Excerpt:

The use of artificial intelligence tools does not automatically constitute academic dishonesty. It depends how the tools are used. For example, apps such as ChatGPT can be used to help reluctant writers generate a rough draft that they can then revise and update.

Used in this way, the technology can help students learn. The text can also be used to help students learn the skills of fact-checking and critical thinking, since the outputs from ChatGPT often contain factual errors.

When students use tools or other people to complete homework on their behalf, that is considered a form of academic dishonesty because the students are no longer learning the material themselves. The key point is that it is the students, and not the technology, that is to blame when students choose to have someone – or something – do their homework for them.

There is a difference between using technology to help students learn or to help them cheat. The same technology can be used for both purposes.

From DSC:
These couple of sentences…

In the age of post-plagiarism, humans use artificial intelligence apps to enhance and elevate creative outputs as a normal part of everyday life. We will soon be unable to detect where the human written text ends and where the robot writing begins, as the outputs of both become intertwined and indistinguishable.

…reminded me of what’s been happening within the filmmaking world for years (i.e., such as in Star Wars, Jurrasic Park, and many others). It’s often hard to tell what’s real and what’s been generated by a computer.

‘ChatGPT Already Outperforms a lot of Junior Lawyers’: An Interview With Richard Susskind — from law.com by Laura Beveridge
For the last 20 years, the U.K. author and academic has been predicting that technology will revolutionise the legal industry. With the buzz around generative AI, will his hypothesis now be proven true?

Excerpts:

For this generation of lawyers, their mission and legacy ought to be to build the systems that replace our old ways of working, he said. Moreover, Susskind identified new work for lawyers, such as legal process analyst or legal data scientist, emerging from technological advancement.

“These are the people who will be building the systems that will be solving people’s legal problems in the future.

“The question I ask is: imagine when the underpinning large language model is GPT 8.5.”

Blue J Legal co-founder Benjamin Alarie on how AI is powering a new generation of legal tech — from canadianlawyermag.com by Tim Wilbur

Excerpts:

We founded Blue J with the idea that we should be able to bring absolute clarity to the law everywhere and on demand. The name that we give to this idea is the legal singularity. I have a book with assistant professor Abdi Aidid called The Legal Singularity coming out soon on this idea.

The book paints the picture of where we think the law will go in the next several decades. Our intuition was not widely shared when we started the book and Blue J.

Since last November, though, many lawyers and journalists have been able to play with ChatGPT and other large language models. They suddenly understand what we have been excited about for the last eight years.

Neat Trick/Tip to Add To Your Bag! — from iltanet.org by Brian Balistreri

Excerpt:

If you need instant transcription of a Audio File, Word Online now allows you to upload a file, and it will transcribe, mark speaker changes, and provide time marks. You can use video files, just make sure they are small or office will kick you out.

Generative AI Is Coming For the Lawyers — from wired.com by Chris Stoken-Walker
Large law firms are using a tool made by OpenAI to research and write legal documents. What could go wrong?

Excerpts:

The rise of AI and its potential to disrupt the legal industry has been forecast multiple times before. But the rise of the latest wave of generative AI tools, with ChatGPT at its forefront, has those within the industry more convinced than ever.

“I think it is the beginning of a paradigm shift,” says Wakeling. “I think this technology is very suitable for the legal industry.”
…
The technology, which uses large datasets to learn to generate pictures or text that appear natural, could be a good fit for the legal industry, which relies heavily on standardized documents and precedents.

“Legal applications such as contract, conveyancing, or license generation are actually a relatively safe area in which to employ ChatGPT and its cousins,” says Lilian Edwards, professor of law, innovation, and society at Newcastle University. “Automated legal document generation has been a growth area for decades, even in rule-based tech days, because law firms can draw on large amounts of highly standardized templates and precedent banks to scaffold document generation, making the results far more predictable than with most free text outputs.”

But the problems with current generations of generative AI have already started to show.

Industry insight: Blockchaining to track current and potential employees’ skills [Boyd]

On 03/06/2023, in Blockchain, career development, global / globalization, learner profiles, learning ecosystem, Learning from the Living [Class] Room, platforms, skills, society, training / L&D, vision/possibilities, workplace, by Daniel Christian

Industry insight: Blockchaining to track current and potential employees’ skills — from chieflearningofficer.com by Tanya Boyd

Excerpts:

A learner who is aware of their unique strengths and development needs, as well as their preferred approach for gaining new skills, is often able to find the learning opportunities that they need more effectively and efficiently.

A global language for skills
While we might be tempted to focus within, looking for ways to address our own company’s talent challenges in isolation, this common concern invites a more global solution. We would all be better off if we could build a global language for skills. It’s at least one step toward achieving global processes for evaluating and developing them.
…
The top three challenges with skills and skill-based practices, as cited by McKinsey’s 2021 state of hiring survey, are: the ability to validate skills, sourcing job seekers with the right skills and scaling this approach.

Having a validated “chain” of skills for an employee helps not only in the selection process, but also as L&D departments seek to personalize learning. Blockchain creates a more valid approach to personalizing learning based on each employee’s competencies and skills gathered across their career, rather than just the skills they are demonstrating in their current organization and role.

Introducing Q-Chat, the world’s first AI tutor built with OpenAI’s ChatGPT [Bayer]

On 03/06/2023, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, digital learning, education, education technology, emerging technologies, engagement / engaging students, experimentation, game-changing environment, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interactivity, K-12 related, languages and translation, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, more voice more choice more control, participation, personalized/customized learning, platforms, productivity / tips and tricks, story, storytelling, student-related, teachers, teaching & learning, tools, vendors, virtual tutoring, vision/possibilities, by Daniel Christian

Introducing Q-Chat, the world’s first AI tutor built with OpenAI’s ChatGPT — from quizlet.com by Lex Bayer

Excerpt:

Modeled on research demonstrating that the most effective form of learning is one-on-one tutoring1, Q-Chat offers students the experience of interacting with a personal AI tutor in an effective and conversational way. Whether they’re learning French vocabulary or Roman History, Q-Chat engages students with adaptive questions based on relevant study materials delivered through a fun chat experience. Pulling from Quizlet’s massive educational content library and using the question-based Socratic method to promote active learning, Q-Chat has the ability to test a student’s knowledge of educational content, ask in-depth questions to get at underlying concepts, test reading comprehension, help students learn a language and encourage students on healthy learning habits.

Planning for AGI and beyond — from OpenAI.org by Sam Altman

Excerpt:

There are several things we think are important to do now to prepare for AGI.

First, as we create successively more powerful systems, we want to deploy them and gain experience with operating them in the real world. We believe this is the best way to carefully steward AGI into existence—a gradual transition to a world with AGI is better than a sudden one. We expect powerful AI to make the rate of progress in the world much faster, and we think it’s better to adjust to this incrementally.

A gradual transition gives people, policymakers, and institutions time to understand what’s happening, personally experience the benefits and downsides of these systems, adapt our economy, and to put regulation in place. It also allows for society and AI to co-evolve, and for people collectively to figure out what they want while the stakes are relatively low.

*AGI stands for Artificial General Intelligence

AI starter tools for video content creation — from techthatmatters.beehiiv.com by Harsh Makadia

Excerpt:

One of the most exciting applications of AI is in the realm of content creation. What if I told you there are tools to generate videos in mins?

Try these tools today:

Supercreator AI: Create short form videos 10x faster
Lumen5: Automatically turn blog posts into videos
InVideo: Idea to YouTube video
Synthesia: Create videos from plain text in minutes
Narakeet: Get a professionally sounding audio or video in minutes
Movio: Create engaging video content

A quick and sobering guide to cloning yourself — from oneusefulthing.substack.com by Professor Ethan Mollick
It took me a few minutes to create a fake me giving a fake lecture.

Excerpt:

I think a lot of people do not realize how rapidly the multiple strands of generative AI (audio, text, images, and video) are advancing, and what that means for the future.

With just a photograph and 60 seconds of audio, you can now create a deepfake of yourself in just a matter of minutes by combining a few cheap AI tools. I’ve tried it myself, and the results are mind-blowing, even if they’re not completely convincing. Just a few months ago, this was impossible. Now, it’s a reality.

To start, you should probably watch the short video of Virtual Me and Real Me giving the same talk about entrepreneurship. Nothing about the Virtual Me part of the video is real, even the script was completely AI-generated.

.

From DSC:
Also, I wanted to post the resource below just because I think it’s an excellent question!

If ChatGPT Can Disrupt Google In 2023, What About Your Company? — from forbes.com by Glenn Gow

Excerpts:

Board members and corporate execs don’t need AI to decode the lessons to be learned from this. The lessons should be loud and clear: If even the mighty Google can be potentially overthrown by AI disruption, you should be concerned about what this may mean for your company.
…
Professions that will be disrupted by generative AI include marketing, copywriting, illustration and design, sales, customer support, software coding, video editing, film-making, 3D modeling, architecture, engineering, gaming, music production, legal contracts, and even scientific research. Software applications will soon emerge that will make it easy and intuitive for anyone to use generative AI for those fields and more.
.

ChatGPT sets record for fastest-growing user base – analyst note — from reuters.com by Krystal Hu

Excerpt (emphasis DSC):

Feb 1 (Reuters) – ChatGPT, the popular chatbot from OpenAI, is estimated to have reached 100 million monthly active users in January, just two months after launch, making it the fastest-growing consumer application in history, according to a UBS study on Wednesday.

The report, citing data from analytics firm Similarweb, said an average of about 13 million unique visitors had used ChatGPT per day in January, more than double the levels of December.

“In 20 years following the internet space, we cannot recall a faster ramp in a consumer internet app,” UBS analysts wrote in the note.

From DSC:
This reminds me of the current exponential pace of change that we are experiencing…

..and how we struggle with that kind of pace.

Radar Trends to Watch: February 2023 [Loukides]

On 02/07/2023, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, computer science, data related items, emerging technologies, experimentation, legislatures / government / legal, machine-to-machine communications, platforms, programming, Uncategorized, by Daniel Christian

Radar Trends to Watch: February 2023 — from oreilly.com by Mike Loukides
Developments in Data, Programming, Security, and More

Excerpt:

One application for ChatGPT is writing documentation for developers, and providing a conversational search engine for the documentation and code. Writing internal documentation is an often omitted part of any software project.
…
DoNotPay has developed an AI “lawyer” that is helping a defendant make arguments in court. The lawyer runs on a cell phone, through which it hears the proceedings. It tells the defendant what to say through Bluetooth earbuds. DoNotPay’s CEO notes that this is illegal in almost all courtrooms. (After receiving threats from bar associations, DoNotPay has abandoned this trial.)
…
Matter, a standard for smart home connectivity, appears to be gaining momentum. Among other things, it allows devices to interact with a common controller, rather than an app (and possibly a hub) for each device.

Top 6 VR learning trends in 2023 [Anders Gronstedt out at chieflearningofficer.com]

On 02/03/2023, in emerging technologies, engagement / engaging students, engineering, marketing/social marketing, Mixed Reality (MR), platforms, simulations, skills, tools, training / L&D, trends, vendors, Virtual Reality (VR) / worlds / learning, XR - extended reality, by Daniel Christian

Top 6 VR learning trends in 2023 — from chieflearningofficer.com by Anders Gronstedt

Excerpt:

From virtual to mixed reality
A new class of “mixed reality” headsets will launch in 2023, promising to break the barriers between the real and virtual worlds. Meta launched a developer version of this technology a few months ago called “Quest Pro,” which superimposes computer-generated images into the real world around us. The mass-market version of this headset, Quest 3, will hit the shelves this fall for $400. Meanwhile, Apple is rumored to finally premiere a more premium mixed reality headset this spring. This can be an important step toward a vision of true augmented reality glasses that is still years away.

The new year will see the mainstream adoption of VR for safety, equipment operations and service, logistics, manufacturing, emergency response and health care training. Other applications will take several more years to mature. Current XR technology is not ripe for soft skills training, IT systems training, conferences and all-purpose collaboration (Meta can’t even get its own employees to hold regular meetings in VR). Procedural hands-on training simulations will be the edge of the new frontier of XR learning in the new year.

A couple of items re: how ChatGPT/GPT3 is hitting legaltech

On 02/02/2023, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, law schools, Legal operations, legal technologies, legislatures / government / legal, Microsoft, platforms, productivity / tips and tricks, tools, by Daniel Christian

“After testing GPT3 within Ironclad for several months, it’s clear that this is much more than novelty; it’s a groundbreaking innovation.”

“Today I’m thrilled to announce Ironclad’s latest AI advancement, AI Assist.™” https://t.co/a8hbyahENn

— Adam.GPT (@TheRealAdamG) February 1, 2023

Contracts Company Ironclad Taps Into GPT-3 For Instant Document Redlining Based On A Company’s Playbook — from lawnext.com by Robert Ambrogi

Excerpt:

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.

Addendum:

Will Generative AI Expedite Legal Tech Adoption? (Zach Abramowitz – Killer Whale Strategies) — from tlpodcast.com by Chad Main

Learning Ecosystems

ChatGPT as a teaching tool, not a cheating tool [Rose]

Exploring generative AI and the implications for universities [universityworldnews.com]

5 Ideas To Incorporate AI In Your eLearning Course [Pappas]

‘ChatGPT Already Outperforms a lot of Junior Lawyers’: An Interview With Richard Susskind [Beveridge] + other legaltech related items

Industry insight: Blockchaining to track current and potential employees’ skills [Boyd]

Planning for AGI and beyond [Sam Altman out at OpenAI.org]

A quick and sobering guide to cloning yourself [Professor Ethan Mollick]

ChatGPT sets record for fastest-growing user base – analyst note [Hu]

Top 6 VR learning trends in 2023 [Anders Gronstedt out at chieflearningofficer.com]

A couple of items re: how ChatGPT/GPT3 is hitting legaltech

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