human-computer interaction (HCI)

ChatGPT is changing the game, and I want to share real things you can do with this AI system today.

Please save this thread and start testing this technology NOW so you’re ahead of the curve.

— Allie K. Miller (@alliekmiller) December 13, 2022

AI bot ChatGPT stuns academics with essay-writing skills and usability [Hern]

On 12/14/2022, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, colleges, community colleges, computer science, content development, aggregation, repositories, digital learning, education, education technology, emerging technologies, experimentation, faculty/staff, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, instructional design, IT in HE, law schools, learning ecosystem, Learning Experience Design, Microsoft, online media, open courseware and systems, platforms, productivity / tips and tricks, programming, the downsides of how people use tech, tools, UK, United States, universities, vendors, writing, by Daniel Christian

AI bot ChatGPT stuns academics with essay-writing skills and usability — from theguardian.com by Alex Hern
Latest chatbot from Elon Musk-founded OpenAI can identify incorrect premises and refuse to answer inappropriate requests

Excerpt:

Professors, programmers and journalists could all be out of a job in just a few years, after the latest chatbot from the Elon Musk-founded OpenAI foundation stunned onlookers with its writing ability, proficiency at complex tasks, and ease of use.

The system, called ChatGPT, is the latest evolution of the GPT family of text-generating AIs. Two years ago, the team’s previous AI, GPT3, was able to generate an opinion piece for the Guardian, and ChatGPT has significant further capabilities.

In the days since it was released, academics have generated responses to exam queries that they say would result in full marks if submitted by an undergraduate, and programmers have used the tool to solve coding challenges in obscure programming languages in a matter of seconds – before writing limericks explaining the functionality.

Also related/see:

AI and the future of undergraduate writing — from chronicle.com by Beth McMurtrie

Excerpts:

Is the college essay dead? Are hordes of students going to use artificial intelligence to cheat on their writing assignments? Has machine learning reached the point where auto-generated text looks like what a typical first-year student might produce?

And what does it mean for professors if the answer to those questions is “yes”?
…
Scholars of teaching, writing, and digital literacy say there’s no doubt that tools like ChatGPT will, in some shape or form, become part of everyday writing, the way calculators and computers have become integral to math and science. It is critical, they say, to begin conversations with students and colleagues about how to shape and harness these AI tools as an aide, rather than a substitute, for learning.

“Academia really has to look at itself in the mirror and decide what it’s going to be,” said Josh Eyler, director of the Center for Excellence in Teaching and Learning at the University of Mississippi, who has criticized the “moral panic” he has seen in response to ChatGPT. “Is it going to be more concerned with compliance and policing behaviors and trying to get out in front of cheating, without any evidence to support whether or not that’s actually going to happen? Or does it want to think about trust in students as its first reaction and building that trust into its response and its pedagogy?”

ChatGPT is incredibly limited, but good enough at some things to create a misleading impression of greatness.

it’s a mistake to be relying on it for anything important right now. it’s a preview of progress; we have lots of work to do on robustness and truthfulness.

— Sam Altman (@sama) December 11, 2022

fun creative inspiration; great! reliance for factual queries; not such a good idea.

we will work hard to improve!

— Sam Altman (@sama) December 11, 2022

1/Large language models like Galactica and ChatGPT can spout nonsense in a confident, authoritative tone. This overconfidence – which reflects the data they’re trained on – makes them more likely to mislead.

— Andrew Ng (@AndrewYNg) December 13, 2022

ChatGPT Could Be AI’s iPhone Moment — from bloomberg.com by Vlad Savov; with thanks to Dany DeGrave for his Tweet on this

Excerpt:

The thing is, a good toy has a huge advantage: People love to play with it, and the more they do, the quicker its designers can make it into something more. People are documenting their experiences with ChatGPT on Twitter, looking like giddy kids experimenting with something they’re not even sure they should be allowed to have. There’s humor, discovery and a game of figuring out the limitations of the system.

And on the legal side of things:

In the legal education context, I’ve been playing around with generating fact patterns and short documents to use in exercises.

— Rebecca Fordon (@theFordon) December 9, 2022

Understanding the Overlap Between UDL and Digital Accessibility — from boia.org

Excerpt:

Implementing UDL with a Focus on Accessibility
UDL is a proven methodology that benefits all students, but when instructors embrace universal design, they need to consider how their decisions will affect students with disabilities.

Some key considerations to keep in mind:

Instructional materials should not require a certain type of sensory perception.
A presentation that includes images should have accurate alternative text (also called alt text) for those images.
Transcripts and captions should be provided for all audio content.
Color alone should not be used to convey information, since some students may not perceive color (or have different cultural understandings of colors).
Student presentations should also follow accessibility guidelines. This increases the student’s workload, but it’s an excellent opportunity to teach the importance of accessibility.

Resources for Computer Science Education Week (December 5-11, 2022)

On 12/01/2022, in career development, computer science, education, human-computer interaction (HCI), K-12 related, programming, STEAM-related, vendors, youth, by Daniel Christian

Resources for Computer Science Education Week (December 5-11, 2022) — with thanks to Mark Adams for these resources

Per Mark, here are a few resources that are intended to show students how computers can become part of their outside interests as well as in their future careers.

Educating Engineers

A Guide to STEM Activities for Kids
https://educatingengineers.com/resources/stem-activities-for-kids/#Holiday_STEM_Activities_for_Kids

Maryville University

What Is Computer Science? An Introduction to a Limitless Industry
https://online.maryville.edu/online-bachelors-degrees/computer-science/resources/what-is-computer-science/
Online Math Tools for Students
https://online.maryville.edu/blog/math-tools-and-resources-for-students/

Fullstack Academy

How Much Do Coders Make? Salary Potential & Career Outlook
https://www.fullstackacademy.com/blog/how-much-do-coders-make

Also see:

MADE Podcast on Branching Scenarios [Tucker]

On 12/01/2022, in assessment, Canada, colleges, community colleges, corporate universities / corporate training, education technology, experimentation, higher education, human-computer interaction (HCI), instructional design, Learning Experience Design, multimedia, podcasting, tools, training / L&D, by Daniel Christian

MADE Podcast on Branching Scenarios — from christytuckerlearning.com by Christy Tucker
My interview for the MADE podcast on branching scenarios: when to use them, challenges, tools, planning, and getting started.

Excerpt:

MADE is the Media and Design in Education team for the University of Toronto. Inga Breede from this educational technology group recently interviewed me for their podcast. We talked about scenario-based learning and specifically about branching scenarios.

What we discussed
We covered several topics in our 20-minute conversation.

When should branching scenarios be used in learning experiences?
What are some of the challenges and limitations that designers typically come across when they’re building a branching scenario?
What are the key components to consider in the planning stage?
What are my favorite tools to use to build branching scenarios?
For learning designers who are interested in scenario building, where can they begin their journey of discovery?

TL;DR: Women prefer text contributions over talk in remote classes — from highereddive.com by Laura Spitalniak (BTW, TL;DR: is short for “too long; didn’t read”)

Dive Brief (emphasis DSC):

Female students show a stronger preference for contributing to remote classes via text chat than their male counterparts, according to peer-reviewed research published in PLOS One, an open-access journal.
Researchers also found all students were more likely to use the chat function to support or amplify their peers’ comments than to diminish them.
Given these findings, the researchers suggested incorporating text chats into class discussions could boost female participation in large introductory science classrooms, where women are less likely to participate than men.

“10 Must Read Books for Learning Designers” [Garg] + “10 must-read tech books for 2023” [Sanders]

On 11/29/2022, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, Bias | Diversity Equity & Inclusion (DE&I), cloud-based computing / apps / other cloud-related, colleges, community colleges, computer science, corporate universities / corporate training, data related items, education, emerging technologies, ethics, faculty/staff, future, higher education, human-computer interaction (HCI), instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, learning theories, memory, Microsoft, pedagogy, personalized/customized learning, productivity / tips and tricks, research, student-related, teachers, teaching & learning, technology (general), training / L&D, universities, by Daniel Christian

10 Must Read Books for Learning Designers — from linkedin.com by Amit Garg

Excerpt:

From the 45+ #books that I’ve read in last 2 years here are my top 10 recommendations for #learningdesigners or anyone in #learninganddevelopment

Speaking of recommended books (but from a more technical perspective this time), also see:

10 must-read tech books for 2023 — from enterprisersproject.com by Katie Sanders (Editorial Team)
Get new thinking on the technologies of tomorrow – from AI to cloud and edge – and the related challenges for leaders

This Copyright Lawsuit Could Shape the Future of Generative AI [Knight]

On 11/25/2022, in 21st century, 24x7x365 access, art, Artificial Intelligence/Agents/LLMs/and Related, computer science, content development, aggregation, repositories, creativity, future, human-computer interaction (HCI), ideas, innovation, law schools, legislatures / government / legal, platforms, programming, tools, trends, United States, by Daniel Christian

This Copyright Lawsuit Could Shape the Future of Generative AI — from wired.com by Will Knight
Algorithms that create art, text, and code are spreading fast—but legal challenges could throw a wrench in the works.

Excerpts:

A class-action lawsuit filed in a federal court in California this month takes aim at GitHub Copilot, a powerful tool that automatically writes working code when a programmer starts typing. The coder behind the suit argues that GitHub is infringing copyright because it does not provide attribution when Copilot reproduces open-source code covered by a license requiring it.
…
Programmers have, of course, always studied, learned from, and copied each other’s code. But not everyone is sure it is fair for AI to do the same, especially if AI can then churn out tons of valuable code itself, without respecting the source material’s license requirements. “As a technologist, I’m a huge fan of AI ,” Butterick says. “I’m looking forward to all the possibilities of these tools. But they have to be fair to everybody.”

Whatever the outcome of the Copilot case, Villa says it could shape the destiny of other areas of generative AI. If the outcome of the Copilot case hinges on how similar AI-generated code is to its training material, there could be implications for systems that reproduce images or music that matches the style of material in their training data.

Also legal-related, see:

Columbia, Georgetown and Stanford Law Schools Quit ‘U.S. News’ — from insidehighered.com by Scott Jaschik

Also related to AI and art/creativity from Wired.com, see:

Picture Limitless Creativity at Your Fingertips — by Kevin Kelly
Artificial intelligence can now make better art than most humans. Soon, these engines of wow will transform how we design just about everything.
This Uncensored AI Art Tool Can Generate Fantasies—and Nightmares — by Will Knight
Open source project Stable Diffusion allows anyone to conjure images with algorithms, but some fear it will be used to create unethical horrors.
Who Will Own the Art of the Future? — by Jessica Rizzo
OpenAI has announced that it’s granting Dall-E users the right to commercialize their art. For now.

Best webcams as well as wireless keyboards/mice for teachers and students [Edwards

On 11/17/2022, in A/V -- audio/visual, adjunct faculty, Apple, colleges, community colleges, corporate universities / corporate training, digital audio, digital learning, digital video, distance education, education, education technology, faculty/staff, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), Hyflex learning, instructional design, IT in HE, K-12 related, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning spaces, liberal arts, Microsoft, multimedia, new media literacies, online learning, parents/guardians, platforms, presentations, productivity / tips and tricks, remote teaching and learning, student teaching/teacher education, student-related, teachers, teaching & learning, technologies for your home, tools, training / L&D, United States, universities, usability, vendors, videoconferencing, web-based collaboration, by Daniel Christian

Best Webcams for Teachers and Students — from techlearning.com by Luke Edwards
Get the best webcams for teachers and students to help with hybrid learning and more

The Logitech C922 Pro Stream was selected as the best overall webcam for educators by techlearning dot com

Best Wireless Keyboard and Mouse for Teachers 2022 — from techlearning.com by Luke Edwards
The best wireless keyboard and mouse for teachers keep you connected to devices while staying mobile

How AI will change Education: Part I | Transcend Newsletter #59 [Arenaza]

On 11/05/2022, in 21st century, 24x7x365 access, art, Artificial Intelligence/Agents/LLMs/and Related, assessment, assistive technologies, bots, change, colleges, community colleges, content development, aggregation, repositories, copyright/ownership/NFTs, creativity, education, education technology, emerging technologies, future, future of higher education, game-changing environment, generational differences, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, languages and translation, law schools, learning, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, platforms, reading, teachers, teaching & learning, the downsides of how people use tech, tools, training / L&D, United States, universities, vendors, vision/possibilities, writing, youth, by Daniel Christian

How AI will change Education: Part I | Transcend Newsletter #59 — from transcend.substack.com by Alberto Arenaza; with thanks to GSV’s Big 10 for this resource

Excerpt:

You’ve likely been reading for the last few minutes my arguments for why AI is going to change education. You may agree with some points, disagree with others…

Only, those were not my words.

An AI has written every single word in this essay up until here.

The only thing I wrote myself was the first sentence: Artificial Intelligence is going to revolutionize education. The images too, everything was generated by AI.

“Using Virtual Reality for Career Training” + “AI interviews in VR prepare students for real jobseeking”

On 11/03/2022, in 24x7x365 access, A/V -- audio/visual, animation, Canada, career development, communications, education, education technology, Europe, human-computer interaction (HCI), immersion, innovation, instructional design, intelligent systems, intelligent tutoring, interaction design, interactivity, Learning Experience Design, Learning from the Living [Class] Room, multimedia, participation, pedagogy, platforms, presentations, productivity / tips and tricks, real-world assignments, simulations, skills, student-related, teachers, teaching & learning, technologies for your home, tools, United States, user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, vocational / trades, workplace, XR - extended reality, youth, by Daniel Christian

Using Virtual Reality for Career Training — from techlearning.com by Erik Ofgang
The Boys & Girls Clubs of Indiana have had success using virtual reality simulations to teach students about career opportunities.

a Woman with a virtual reality set on occupies one half of the screen. The other shows virtual tools that she is controlling.

Excerpts:

Virtual reality can help boost CTE programs and teach students about potential careers in fields they may know nothing about, says Lana Taylor from the Indiana Alliance of Boys & Girls Clubs of America.
…
One of those other resources has been a partnership with Transfer VR to provide students access to headsets to participate in career simulations that can give them a tactile sense of what working in certain careers might be like.

“Not all kids are meant to go to college, not all kids want to do it,” Taylor says. “So it’s important to give them some exposure to different careers and workforce paths that maybe they hadn’t thought of before.”

AI interviews in VR prepare students for real jobseeking — from inavateonthenet.net

“Get Ready to Relearn How to Use the Internet” + several other items re: AI

On 11/02/2022, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, business, change, computer science, content development, aggregation, repositories, corporate / business world, data related items, emerging technologies, entrepreneurship, future, game-changing environment, generational differences, global / globalization, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, IT in HE, languages and translation, Learning from the Living [Class] Room, Natural Language Processing (NLP), NVIDIA, platforms, programming, skills, social learning / networks, society, vendors, vision/possibilities, by Daniel Christian

Get Ready to Relearn How to Use the Internet — from bloomberg.com by Tyle Cowen; with thanks to Sam DeBrule for this resource
Everyone knows that an AI revolution is coming, but no one seems to realize how profoundly it will change their day-to-day life.

Excerpts:

This year has brought a lot of innovation in artificial intelligence, which I have tried to keep up with, but too many people still do not appreciate the import of what is to come. I commonly hear comments such as, “Those are cool images, graphic designers will work with that,” or, “GPT-3 is cool, it will be easier to cheat on term papers.” And then they end by saying: “But it won’t change my life.”

This view is likely to be proven wrong — and soon, as AI is about to revolutionize our entire information architecture. You will have to learn how to use the internet all over again.
…
Change is coming. Consider Twitter, which I use each morning to gather information about the world. Less than two years from now, maybe I will speak into my computer, outline my topics of interest, and somebody’s version of AI will spit back to me a kind of Twitter remix, in a readable format and tailored to my needs.

The AI also will be not only responsive but active. Maybe it will tell me, “Today you really do need to read about Russia and changes in the UK government.” Or I might say, “More serendipity today, please,” and that wish would be granted.

Of course all this is just one man’s opinion. If you disagree, in a few years you will be able to ask the new AI engines what they think.

Some other recent items from Sam DeBrule include:

Natural Language Assessment: A New Framework to Promote Education — from ai.googleblog.com by Kedem Snir and Gal Elidan

Excerpt:

In this blog, we introduce an important natural language understanding (NLU) capability called Natural Language Assessment (NLA), and discuss how it can be helpful in the context of education. While typical NLU tasks focus on the user’s intent, NLA allows for the assessment of an answer from multiple perspectives. In situations where a user wants to know how good their answer is, NLA can offer an analysis of how close the answer is to what is expected. In situations where there may not be a “correct” answer, NLA can offer subtle insights that include topicality, relevance, verbosity, and beyond. We formulate the scope of NLA, present a practical model for carrying out topicality NLA, and showcase how NLA has been used to help job seekers practice answering interview questions with Google’s new interview prep tool, Interview Warmup.

How AI could help translate extreme weather alerts — from axios.com by Ayurella Horn-Muller

Excerpt:

A startup that provides AI-powered translation is working with the National Weather Service to improve language translations of extreme weather alerts across the U.S.

Using GPT-3 to augment human intelligence — from escapingflatland.substack.com by Henrik Karlsson

Excerpt:

When I’ve been doing this with GPT-3, a 175 billion parameter language model, it has been uncanny how much it reminds me of blogging. When I’m writing this, from March through August 2022, large language models are not yet as good at responding to my prompts as the readers of my blog. But their capacity is improving fast and the prices are dropping.

Soon everyone can have an alien intelligence in their inbox.

How Long Should a Branching Scenario Be?— from christytuckerlearning.com by Christy Tucker
How long should a branching scenario be? Is 45 minutes too long? Is there an ideal length for a branching scenario?

Excerpt:

Most of the time, the branching scenarios and simulations I build are around 10 minutes long. Overall, I usually end up at 5-15 minutes for branching scenarios, with interactive video scenarios being at the longer end.

From DSC:
This makes sense to me, as (up to) 6 minutes turned out to be an ideal length for videos.

Excerpt from Optimal Video Length for Student Engagement — from blog.edx.org

The optimal video length is 6 minutes or shorter — students watched most of the way through these short videos. In fact, the average engagement time of any video maxes out at 6 minutes, regardless of its length. And engagement times decrease as videos lengthen: For instance, on average students spent around 3 minutes on videos that are longer than 12 minutes, which means that they engaged with less than a quarter of the content. Finally, certificate-earning students engaged more with videos, presumably because they had greater motivation to learn the material. (These findings appeared in a recent Wall Street Journal article, An Early Report Card on Massive Open Online Courses and its accompanying infographic.)

The take-home message for instructors is that, to maximize student engagement, they should work with instructional designers and video producers to break up their lectures into small, bite-sized pieces.

What might the ramifications be for text-to-everything? [Christian]

On 10/11/2022, in 21st century, 24x7x365 access, A/V -- audio/visual, art, Artificial Intelligence/Agents/LLMs/and Related, assistive technologies, Bias | Diversity Equity & Inclusion (DE&I), cloud-based computing / apps / other cloud-related, CMS/LMS, colleges, communications, communities of practice, community colleges, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, creativity, Daniel S. Christian, digital audio, digital learning, digital storytelling, digital textbooks, digital video, distance education, drama/theater, e-publishing related items (EPUB and more), education, education technology, elearning, emerging technologies, engagement / engaging students, experimentation, face-to-face, faculty/staff, future, future of higher education, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, IT in HE, K-12 related, languages and translation, law schools, learner profiles, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, legal technologies, media/film, microlearning, Mixed Reality (MR), more voice more choice more control, multimedia, Natural Language Processing (NLP), neurodivergent/special needs, online learning, online media, online tutoring, platforms, podcasting, presentations, productivity / tips and tricks, publishing, smart classrooms, story, storytelling, streams of content, teachers, teaching & learning, teaching online, technologies for your home, technology (general), telecommunications, telelegal, telemedicine / telehealth / virtual health, telepresence, television, tools, training / L&D, trends, TVs, United States, universities, usability, user experience (UX), vendors, videoconferencing, Virtual courts and law firms, vision/possibilities, visualizing information, voice recognition / voice enabled interfaces, wearables, web-based collaboration, workplace, by Daniel Christian

From DSC:

We can now type in text to get graphics and artwork.
We can now type in text to get videos.
There are several tools to give us transcripts of what was said during a presentation.
We can search videos for spoken words and/or for words listed within slides within a presentation.

Allie Miller’s posting on LinkedIn (see below) pointed these things out as well — along with several other things.

This raises some ideas/questions for me:

What might the ramifications be in our learning ecosystems for these types of functionalities? What affordances are forthcoming? For example, a teacher, professor, or trainer could quickly produce several types of media from the same presentation.
What’s said in a videoconference or a webinar can already be captured, translated, and transcribed.
Or what’s said in a virtual courtroom, or in a telehealth-based appointment. Or perhaps, what we currently think of as a smart/connected TV will give us these functionalities as well.
How might this type of thing impact storytelling?
Will this help someone who prefers to soak in information via the spoken word, or via a podcast, or via a video?
What does this mean for Augmented Reality (AR), Mixed Reality (MR), and/or Virtual Reality (VR) types of devices?
Will this kind of thing be standard in the next version of the Internet (Web3)?
Will this help people with special needs — and way beyond accessibility-related needs?
Will data be next (instead of typing in text)?

Hmmm….interesting times ahead.

“3D Scanner Lets You Capture The Real World In VR” + “NASA & Google Partner To Create An AR Solar System” [Melnick]

On 09/21/2022, in 3D, Augmented Reality (AR), content development, aggregation, repositories, creativity, design, education technology, engagement / engaging students, Google, human-computer interaction (HCI), ideas, innovation, vendors, Virtual Reality (VR) / worlds / learning, XR - extended reality, by Daniel Christian

3D Scanner Lets You Capture The Real World In VR — from vrscout.com by Kyle Melnick

Excerpt:

VR is about to get a whole lot more real.

Imagine having the power to capture your real-world environment as a hyper-realistic 3D model from the palm of your hand. Well, wonder no more, as peel 3d, a developer of professional-grade 3D scanners, today announced the launch of peel 3 and peel 3.CAD, two new easy-to-use 3D scanners capable of generating high-quality 3D scans for a wide variety of digital mediums, including VR and augmented reality (AR).

NASA & Google Partner To Create An AR Solar System — from vrscout.com by Kyle Melnick

Excerpt:

[On 9/14/22], Google Arts & Culture announced that is has partnered with NASA to further extend its virtual offerings with a new online exhibit featuring a collection of new-and-improved 3D models of our universe brought to life using AR technology.

These 3D models are for more than just entertainment, however. The virtual solar system exhibit features historical annotations that, when selected, display valuable information. Earth’s moon, for example, features landing sites for Apollo 11 and China’s Chang’e-4.

Learning Ecosystems

MADE Podcast on Branching Scenarios [Tucker]

“3D Scanner Lets You Capture The Real World In VR” + “NASA & Google Partner To Create An AR Solar System” [Melnick]

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