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Introducing Teach AI — Empowering educators to teach w/ AI & about AI [ISTE & many others]

On 05/09/2023, in 21st century, 24x7x365 access, adjunct faculty, Amazon, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, change, collaboration, colleges, communities of practice, community colleges, computer science, content development, aggregation, repositories, copyright/ownership/NFTs, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, generational differences, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, leadership, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, learning theories, library / librarians, lifelong learning, Microsoft, more voice more choice more control, online media, online tutoring, open courseware and systems, personalized/customized learning, platforms, productivity / tips and tricks, professional development, programming, research, skills, society, strategy, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, the downsides of technology, tools, training / L&D, trends, United States, universities, vendors, virtual tutoring, vision/possibilities, web-based collaboration, workplace, youth, by Daniel Christian

Teach AI -- Empowering educators to teach with AI and about AI

Also relevant/see:

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The (almost daily) AI posting!

On 04/26/2023, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, change, colleges, community colleges, content development, aggregation, repositories, copyright/ownership/NFTs, corporate / business world, corporate universities / corporate training, disruption, education, education technology, elearning, emerging technologies, experimentation, future, game-changing environment, higher education, innovation, instructional design, intelligent systems, intelligent tutoring, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, legislatures / government / legal, music, online learning, online media, online tutoring, pace of change, personalized/customized learning, professional development, teachers, teaching & learning, tools, training / L&D, United States, universities, usability, user experience (UX), user interface design, vendors, vision/possibilities, by Daniel Christian

EdTech Is Going Crazy For AI — from joshbersin.com by Josh Bersin

Excerpts:

This week I spent a few days at the ASU/GSV conference and ran into 7,000 educators, entrepreneurs, and corporate training people who had gone CRAZY for AI.

No, I’m not kidding. This community, which makes up people like training managers, community college leaders, educators, and policymakers is absolutely freaked out about ChatGPT, Large Language Models, and all sorts of issues with AI. Now don’t get me wrong: I’m a huge fan of this. But the frenzy is unprecedented: this is bigger than the excitement at the launch of the i-Phone.

Second, the L&D market is about to get disrupted like never before. I had two interactive sessions with about 200 L&D leaders and I essentially heard the same thing over and over. What is going to happen to our jobs when these Generative AI tools start automatically building content, assessments, teaching guides, rubrics, videos, and simulations in seconds?

The answer is pretty clear: you’re going to get disrupted. I’m not saying that L&D teams need to worry about their careers, but it’s very clear to me they’re going to have to swim upstream in a big hurry. As with all new technologies, it’s time for learning leaders to get to know these tools, understand how they work, and start to experiment with them as fast as you can.

Speaking of the ASU+GSV Summit, see this posting from Michael Moe:

EIEIO…Brave New World
By: Michael Moe, CFA, Brent Peus, Owen Ritz

Excerpt:

Last week, the 14th annual ASU+GSV Summit hosted over 7,000 leaders from 70+ companies well as over 900 of the world’s most innovative EdTech companies. Below are some of our favorite speeches from this year’s Summit…

***

Also see:

Imagining what’s possible in lifelong learning: Six insights from Stanford scholars at ASU+GSV — from acceleratelearning.stanford.edu by Isabel Sacks

Excerpt:

High-quality tutoring is one of the most effective educational interventions we have – but we need both humans and technology for it to work. In a standing-room-only session, GSE Professor Susanna Loeb, a faculty lead at the Stanford Accelerator for Learning, spoke alongside school district superintendents on the value of high-impact tutoring. The most important factors in effective tutoring, she said, are (1) the tutor has data on specific areas where the student needs support, (2) the tutor has high-quality materials and training, and (3) there is a positive, trusting relationship between the tutor and student. New technologies, including AI, can make the first and second elements much easier – but they will never be able to replace human adults in the relational piece, which is crucial to student engagement and motivation.

A guide to prompting AI (for what it is worth) — from oneusefulthing.org by Ethan Mollick
A little bit of magic, but mostly just practice

Excerpt (emphasis DSC):

Being “good at prompting” is a temporary state of affairs. The current AI systems are already very good at figuring out your intent, and they are getting better. Prompting is not going to be that important for that much longer. In fact, it already isn’t in GPT-4 and Bing. If you want to do something with AI, just ask it to help you do the thing. “I want to write a novel, what do you need to know to help me?” will get you surprisingly far.
…

The best way to use AI systems is not to craft the perfect prompt, but rather to use it interactively. Try asking for something. Then ask the AI to modify or adjust its output. Work with the AI, rather than trying to issue a single command that does everything you want. The more you experiment, the better off you are. Just use the AI a lot, and it will make a big difference – a lesson my class learned as they worked with the AI to create essays.

From DSC:
Agreed –> “Being “good at prompting” is a temporary state of affairs.” The User Interfaces that are/will be appearing will help greatly in this regard.

From DSC:
Bizarre…at least for me in late April of 2023:

Excerpt from Lore Issue #28: Drake, Grimes, and The Future of AI Music — from lore.com

Here’s a summary of what you need to know:

  • The rise of AI-generated music has ignited legal and ethical debates, with record labels invoking copyright law to remove AI-generated songs from platforms like YouTube.
  • Tech companies like Google face a conundrum: should they take down AI-generated content, and if so, on what grounds?
  • Some artists, like Grimes, are embracing the change, proposing new revenue-sharing models and utilizing blockchain-based smart contracts for royalties.
  • The future of AI-generated music presents both challenges and opportunities, with the potential to create new platforms and genres, democratize the industry, and redefine artist compensation.

The Need for AI PD — from techlearning.com by Erik Ofgang
Educators need training on how to effectively incorporate artificial intelligence into their teaching practice, says Lance Key, an award-winning educator.

“School never was fun for me,” he says, hoping that as an educator he could change that with his students. “I wanted to make learning fun.”  This ‘learning should be fun’ philosophy is at the heart of the approach he advises educators take when it comes to AI. 

Coursera Adds ChatGPT-Powered Learning Tools — from campustechnology.com by Kate Lucariello

Excerpt:

At its 11th annual conference in 2023, educational company Coursera announced it is adding ChatGPT-powered interactive ed tech tools to its learning platform, including a generative AI coach for students and an AI course-building tool for teachers. It will also add machine learning-powered translation, expanded VR immersive learning experiences, and more.

Coursera Coach will give learners a ChatGPT virtual coach to answer questions, give feedback, summarize video lectures and other materials, give career advice, and prepare them for job interviews. This feature will be available in the coming months.

From DSC:
Yes…it will be very interesting to see how tools and platforms interact from this time forth. The term “integration” will take a massive step forward, at least in my mind.

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Interesting thoughts in “The Future of Teaching is Here” by Sam Chaltain

On 04/11/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, colleges, community colleges, digital learning, education, education reform, education technology, emerging technologies, experimentation, faculty, future, future of higher education, higher education, human-computer interaction (HCI), innovation, intelligent systems, intelligent tutoring, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, online tutoring, teachers, teaching & learning, tools, United States, universities, vision/possibilities, by Daniel Christian

The Future of Teaching is Here — from samchaltain.substack.com by Sam Chaltain

Excerpts (emphasis DSC):

It’s not sexy, but I feel like Sal Khan’s recent video introducing his Academy’s GPT-fueled AI tutor augurs the future of the teaching profession — and not just at Khan Academy.
…
The tutor is already fully capable of offering personalized feedback, hints and suggestions for just about any topic for which there are already clearly established answers — from solving math equations with parentheses to digesting John Locke’s political philosophy.
…
But now we’ve entered a new chapter — dare I say, a Technological Singularity (20 years early) — one in which Chat-GPT in particular, and the daily flood of AI tools more generally, has changed the nature of the teacher/student relationship even more irrevocably than before.

As a result, from this day forward, the job of a teacher REALLY needs to stop being about transmission.

So what should it start being instead?
…
In which case, the future of teaching is not about transmission, but it is about the other trans- words: transmedia exploration, transdisciplinary weaving, transcultural understanding, and, yes, personal and societal transformation.

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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

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.
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Best Document Cameras for Teachers [Edwards]

On 02/04/2023, in A/V -- audio/visual, adjunct faculty, colleges, community colleges, content development, aggregation, repositories, digital learning, digital video, distance education, education technology, experimentation, faculty, higher education, instructional design, K-12 related, law schools, learning ecosystem, learning hubs & pods & microschooling, learning spaces, multimedia, online learning, online media, online tutoring, pedagogy, productivity / tips and tricks, remote teaching and learning, student teaching/teacher education, teachers, teaching & learning, teaching online, technologies for your home, telelegal, telemedicine / telehealth / virtual health, tools, United States, universities, vendors, videoconferencing, visualizing information, web-based collaboration, by Daniel Christian

Best Document Cameras for Teachers — from techlearning.com by Luke Edwards
Get the best document camera for teachers to make the classroom more digitally immersive

Along the lines of edtech, also see:

Tech & Learning Names Winners of the Best of 2022 Awards — from techlearning.com by TL Editors
This annual award celebrates recognizing the very best in EdTech from 2022

.
The Tech & Learning Awards of Excellence: Best of 2022 celebrate educational technology from the last 12 months that has excelled in supporting teachers, students, and education professionals in the classroom, for professional development, or general management of education resources and learning. Nominated products are divided into three categories: Primary, Secondary, or Higher Education.

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Some example components of a learning ecosystem [Christian]

On 01/20/2023, in 21st century, A/V -- audio/visual, active learning, adjunct faculty, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), blended learning, blogs / blogging / vlogging, bots, Canvas - and other Instructure-related items, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communities of practice, community colleges, competency-based learning/education, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital audio, digital learning, digital textbooks, digital video, e-books, e-publishing related items (EPUB and more), education technology, educational games / serious games, elearning, face-to-face, faculty, heutagogy, higher education, human-computer interaction (HCI), hybrid learning, Hyflex learning, informal learning, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, learning theories, library / librarians, lifelong learning, microlearning, mobile learning, MOOCs -- Massive Open Online Courses, online learning, online media, online tutoring, open courseware and systems, parents, pedagogy, personalized/customized learning, platforms, play, podcasting, professional development, social learning / networks, social media, society, streams of content, student-related, teachers, teaching & learning, technology (general), tools, training / L&D, universities, videoconferencing, Virtual Reality (VR) / worlds / learning, vocational / trades, webinars, by Daniel Christian

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, 
  • LMS/CMS/Learning Experience Platforms
  • Tutorials
  • Videos — including on YouTube, Vimeo, other
  • Job-aids
  • E-learning-based resources
  • Books, digital textbooks, journals, and manuals
  • Enterprise social networks/tools
  • RSS feeds and blogging
  • Podcasts/vodcasts
  • Videoconferencing/audio-conferencing/virtual meetings
  • Capturing and sharing content
  • Tagging/rating/curating content
  • Decision support tools
  • Getting feedback
  • Webinars
  • In-person workshops
  • Discussion boards/forums
  • Chat/IM
  • VOIP
  • Online-based resources (periodicals, journals, magazines, newspapers, and others)
  • Learning spaces
  • Learning hubs
  • Learning preferences
  • Learning theories
  • Microschools
  • MOOCs
  • Open courseware
  • Portals
  • Wikis
  • Wikipedia
  • Slideshare
  • TED talks
  • …and many more components.

These people, tools, technologies, etc. are constantly morphing — as well as coming and going in and out of our lives.

 

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ChatGPT and The Professional’s Guide to Using AI [Miller]

On 12/22/2022, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, change, cloud-based computing / apps / other cloud-related, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, entrepreneurship, experimentation, future, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, lifelong learning, microlearning, online tutoring, productivity / tips and tricks, professional development, society, teachers, teaching & learning, technologies for your home, tools, training / L&D, universities, virtual tutoring, vision/possibilities, writing, by Daniel Christian

ChatGPT and The Professional’s Guide to Using AI — from linkedin.com by Allie K. Miller

Excerpt:

Real Ways Professionals Can Use ChatGPT to Improve Job Performance
Let’s dive into some real examples of how professionals across sales, marketing, product management, project management, recruiting, and teaching can take advantage of this new tool and leverage it for even more impact in their careers.

Teachers and ChatGPT

  1. Help with grading and feedback on student work.
    Example prompt: “Tell me every grammar rule that’s been violated in this student’s essay: [paste in essay]”
  2. Create personalized learning materials.
    Example prompt: “Help me explain photosynthesis to a 10th grade student in a way similar to sports.”
  3. Generate lesson plans and activities.
    Example prompt: “Create an activity for 50 students that revolves around how to learn the different colors of the rainbow.” or “Generate a lesson plan for a high school English class on the theme of identity and self-discovery, suitable for a 45-minute class period.”
  4. Write fake essays several reading levels below your class, then print them out, and have your students review and edit the AI’s work to make it better.
    Example prompt: “Generate a 5th grade level short essay about Maya Angelou and her work.”
  5. Providing one-on-one support to students.
    Example prompt: “How can I best empower an introverted student in my classroom during reading time?”

From DSC:
I haven’t tried these prompts. Rather I post this because I’m excited about the potential of Artificial Intelligence (AI) to help people teach and to help people to learn.

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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 / Machine Learning / Deep Learning / Algorithms, 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-books, e-publishing related items (EPUB and more), education, education technology, elearning, emerging technologies, engagement / engaging students, experimentation, face-to-face, faculty, 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, Metaverse, microlearning, Mixed Reality (MR), more voice more choice more control, multimedia, Natural Language Processing (NLP), online learning, online media, online tutoring, platforms, podcasting, presentations, productivity / tips and tricks, publishing, smart classrooms, smart/connected TV, special needs, 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, transmedia, trends, United States, universities, usability, user experience (UX), vendors, videoconferencing, Virtual courts, vision/possibilities, visualizing information, voice recognition / voice enabled interfaces, wearables, web-based collaboration, Web3, webinars, 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.

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DC: An interesting idea to offer 24/7 online-based tutoring and homework help to all Californians

On 09/26/2022, in library / librarians, online tutoring, United States, by Daniel Christian

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What if smart TVs’ new killer app was a next-generation learning-related platform? [Christian]

On 09/06/2022, in 21st century, 24x7x365 access, A/V -- audio/visual, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, change, changing business models, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communications, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, Design Thinking, digital audio, digital learning, digital photography, digital storytelling, digital textbooks, digital video, disruption, distance education, e-publishing related items (EPUB and more), education, education technology, educational games / serious games, emerging technologies, engagement / engaging students, experimentation, future of higher education, game-changing environment, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, legislatures / government / legal, liberal arts, library / librarians, lifelong learning, more voice more choice more control, multimedia, New "Amazon.com" of Higher Education, online learning, online media, online tutoring, Personal Learning Networks (PLNs), personalized/customized learning, platforms, second screen apps, skills, smart classrooms, smart/connected TV, social learning / networks, society, staying relevant, strategy, streams of content, surviving, teaching & learning, teaching online, technologies for your home, telelegal, telemedicine / telehealth / virtual health, telepresence, television, tools, training / L&D, transmedia, trends, ubiquitous learning, United States, universities, user experience (UX), vendors, videoconferencing, Virtual courts, virtual field trips, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, web-based collaboration, Web3, webinars, by Daniel Christian

TV makers are looking beyond streaming to stay relevant — from protocol.com by Janko Roettgers and Nick Statt

A smart TV's main menu listing what's available -- application wise

Excerpts:

The search for TV’s next killer app
TV makers have some reason to celebrate these days: Streaming has officially surpassed cable and broadcast as the most popular form of TV consumption; smart TVs are increasingly replacing external streaming devices; and the makers of these TVs have largely figured out how to turn those one-time purchases into recurring revenue streams, thanks to ad-supported services.
…
What TV makers need is a new killer app. Consumer electronics companies have for some time toyed with the idea of using TV for all kinds of additional purposes, including gaming, smart home functionality and fitness. Ad-supported video took priority over those use cases over the past few years, but now, TV brands need new ways to differentiate their devices.

Turning the TV into the most useful screen in the house holds a lot of promise for the industry. To truly embrace this trend, TV makers might have to take some bold bets and be willing to push the envelope on what’s possible in the living room.

 

From DSC:
What if smart TVs’ new killer app was a next-generation learning-related platform? Could smart TVs deliver more blended/hybrid learning? Hyflex-based learning?
.

The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV

.

Or what if smart TVs had to do with delivering telehealth-based apps? Or telelegal/virtual courts-based apps?

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The Metaverse Is Not a Place: It’s a communications medium. [O’Reilly]

On 08/10/2022, in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, cryptocurrencies, distance education, drama/theater, emerging technologies, engagement / engaging students, experimentation, future, global / globalization, human-computer interaction (HCI), ideas, immersion, innovation, IT in HE, K-12 related, law schools, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning spaces, Metaverse, multimedia, new media literacies, online learning, online media, online tutoring, participation, platforms, remote teaching and learning, social learning / networks, social media, society, technologies for your home, technology (general), telecommunications, telelegal, telemedicine / telehealth / virtual health, telepresence, tools, training / L&D, trends, United States, user experience (UX), vendors, videoconferencing, Virtual courts, virtual field trips, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, vision/possibilities, wearables, web-based collaboration, Web3, XR - extended reality, by Daniel Christian

The Metaverse Is Not a Place — from oreilly.com by Tim O’Reilly
It’s a communications medium.

Excerpt:

Foundations of the metaverse
You can continue this exercise by thinking about the metaverse as the combination of multiple technology trend vectors progressing at different speeds and coming from different directions, and pushing the overall vector forward (or backward) accordingly. No new technology is the product of a single vector.

So rather than settling on just “the metaverse is a communications medium,” think about the various technology vectors besides real-time communications that are coming together in the current moment. What news from the future might we be looking for?

  • Virtual Reality/Augmented Reality…
  • Social media…
  • Gaming…
  • AI…
  • Cryptocurrencies and “Web3”…
  • Identity…

#metaverse #AI #communications #gaming #socialmedia #cryptocurrencies #Web3 #identity #bots #XR #VR #emergingtechnologies

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20 ideas for using video meetings with students — infographic [elearninginfographics.com]

On 07/18/2022, in collaboration, communications, digital audio, digital learning, digital storytelling, digital video, education technology, engagement / engaging students, human-computer interaction (HCI), ideas, innovation, instructional design, K-12 related, learning, Learning Experience Design, Learning from the Living [Class] Room, online learning, online media, online tutoring, parents, participation, pedagogy, productivity / tips and tricks, professional development, reading, student teaching/teacher education, student-related, teachers, teaching & learning, vendors, videoconferencing, virtual field trips, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, by Daniel Christian

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What’s next for online education? + two other items from “The Educationalist” — by Alexandra Mihai

On 07/05/2022, in business side of he, change, changing business models, colleges, communities of practice, community colleges, Europe, experimentation, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), instructional design, leadership, learning, learning ecosystem, Learning Experience Design, online learning, online media, online tutoring, staying relevant, strategy, United States, universities, by Daniel Christian

What’s next for online education? — from educationalist.substack.com by Alexandra Mihai

Excerpt (emphasis DSC):

An ecosystem not a dichotomy
As you’re hopefully already getting from my thoughts so far, I personally see our options for quality education in the future more like an ecosystem and not a series of mutually exclusive paths. It’s time to discard- or at least question-the “online vs. in person” dichotomy, almost always unfavourable to online education. It’s time to think in a more nuanced way about this. And, yes, you’ve guessed, more nuanced is always more difficult. Seeing the shades of grey requires a critical lens that we don’t need to see black and white.

The extent to which online education will be used in the future does not depend only on people (micro level), it depends on institutions (meso level) and policies (macro level).

The learning ecosystem, in my view:

    • includes various modalities used in a complementary way and as a continuum;
    • serves a multitude of audiences, at different stages of learning, with different aims and degrees of engagement;
    • requires comprehensive and interconnected support structures at institutional level, for students and faculty.

Also from educationalist.substack.com by Alexandra Mihai, see:

Intentional learning design — from educationalist.substack.com by Alexandra Mihai

Excerpt:

My definition
Let’s start with a definition. By intentional learning design I mean designing learning experiences:

    • Focusing on the “why”: ensuring that any decision taken at the design stage is aligned with the overall narrative of the course and, more precisely, with the learning objectives; this requires self-reflection, at least some knowledge of the main pedagogical principles, attention to detail and openness to see learning design as an iterative process and not a box on a checklist;
    • Focusing on students’ experience: designing a course/ programme that is well tailored to students’ needs; this requires knowing your students well, making your design choices explicit to them and involving them in an ongoing dialogue.

Mid-term reflections on my American adventure

Excerpt:

A sneak peek into my research on Centres for Teaching and Learning (CTLs)
With a big part of the data collection already behind me, I thought I’d briefly share here some of my most important- and sometimes surprising- findings so far. While still pretty superficial, this can hopefully give you an insight into the discussions I’ve been having and hopefully make you curious to find out more once I’ll get to publish my results.

    • Positioning of CTLs.
    • Sense of CTL vulnerability.
    • The backgrounds and personalities of CTL leaders.
    • Integrated CTLs.
    • Credibility.
    • Who works in CTLs?
    • Professional development and career paths in CTLs.
    • CTL offer and programming.
    • Graduate student support.
    • Online education.
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Adobe Live — Is this one of the components of our future learning ecosystems? [Christian]

On 06/29/2022, in 21st century, 24x7x365 access, Adobe, business, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital learning, learning ecosystem, Learning from the Living [Class] Room, online learning, online media, online tutoring, streams of content, student-related, teachers, teaching & learning, teaching online, training / L&D, vendors, web-based collaboration, Web3, workplace, by Daniel Christian

Screenshot of Adobe Live -- is Adobe Live a type of component of our future learning ecosystems?

From DSC:
It seems to me that this is one of the types of learning experiences that we will have in the future — i.e., where you can tap into a variety of live/virtual streams of content whereby you can peer over the shoulder of experts using products and/or services.

streams of content are ever flowing by -- we need to tap into them and contribute to them

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Research reveals the benefits of online tutoring [Gaskell]

On 06/23/2022, in K-12 related, learning, learning ecosystem, Learning from the Living [Class] Room, learning spaces, online tutoring, research, United States, universities, by Daniel Christian

Research reveals the benefits of online tutoring — from adigaskell.org by Adi Gaskell

Excerpt:

The Covid pandemic resulted in considerable disruption to the education of pupils around the world, with many parents resorting to online tutoring in a bid to ensure their children didn’t fall behind. Research from the University of California San Diego highlights the effectiveness of such tutoring.

While there have long been suspicions around the effectiveness of such schemes, concerns have existed about both the high costs associated with them and the limited availability of tutors.

“Our program explores the possibilities of a low-cost model with volunteer tutors which has the potential to reach more students in need,” the researchers explain.

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