From DSC:
After seeing the article entitled, “Scientists Are Turning Alexa into an Automated Lab Helper,” I began to wonder…might Alexa be a tool to periodically schedule & provide practice tests & distributed practice on content? In the future, will there be “learning bots” that a learner can employ to do such self-testing and/or distributed practice?
From page 45 of the PDF available here:
“Rise of the machines” — from January 2018 edition of InAVate magazine
AI is generating lots of buzz in other verticals, but what can AV learn from those? Tim Kridel reports.
From DSC:
Learning spaces are relevant as well in the discussion of AI and AV-related items.
Also in their January 2018 edition, see
an incredibly detailed project at the London Business School.
Excerpt:
A full-width frosted glass panel sits on the desk surface, above it fixed in the ceiling is a Wolfvision VZ-C12 visualiser. This means the teaching staff can write on the (wipeclean) surface and the text appears directly on two 94-in screens behind them, using Christie short-throw laser 4,000 lumens projectors. When the lecturer is finished or has filled up the screen with text, the image can be saved on the intranet or via USB. Simply wipe with a cloth and start again. Not only is the technology inventive, but it allows the teaching staff to remain in face-to-face contact with the students at all times, instead of students having to stare at the back of the lecturer’s head whilst they write.
Also relevant, see:
2018 Tech Trends For Journalism Report — from the Future Today Institute
Key Takeaways
Those in the news ecosystem should factor the trends in this report into their strategic thinking for the coming year, and adjust their planning, operations and business models accordingly.
2017 Tech Trends Annual Report — from the Future Today Institute; this is the first I’ve seen this solid report
Excerpts:
This year’s report has 159 trends.
This is mostly due to the fact that 2016 was the year that many areas of science and technology finally started to converge. As a result we’re seeing a sort of slow-motion explosion––we will undoubtedly look back on the last part of this decade as a pivotal moment in our history on this planet.
…
Our 2017 Trend Report reveals strategic opportunities and challenges for your organization in the coming year. The Future Today Institute’s annual Trend Report prepares leaders and organizations for the year ahead, so that you are better positioned to see emerging technology and adjust your strategy accordingly. Use our report to identify near-future business disruption and competitive threats while simultaneously finding new collaborators and partners. Most importantly, use our report as a jumping off point for deeper strategic planning.
Also see:
Emerging eLearning Tools and Platforms Improve Results — from learningsolutionsmag.com
DevLearn Attendees Learn How to ‘Think Like a Futurist’ — from learningsolutionsmag.com
Excerpt:
How does all of this relate to eLearning? Again, Webb anticipated the question. Her response gave hope to some—and terrified others. She presented three possible future scenarios:
In an attempt to end on a strong positive note, Webb said that “the future hasn’t happened yet—we think” and encouraged attendees to take action. “To build the future of learning that you want, listen to weak signals now.”
The era of easily faked, AI-generated photos is quickly emerging — from qz.com by Dave Gershgorn
Excerpt (emphasis DSC):
Until this month, it seemed that GAN-generated images [where GAN stands for “generative adversarial networks”] that could fool a human viewer were years off. But last week research released by Nvidia, a manufacturer of graphics processing units that has cornered the market on deep learning hardware, shows that this method can now be used to generate high-resolution, believable images of celebrities, scenery, and objects. GAN-created images are also already being sold as replacements for fashion photographers—a startup called Mad Street Den told Quartz earlier this month it’s working with North American retailers to replace clothing images on websites with generated images.
From DSC:
So AI can now generate realistic photos (i.e., image creation/manipulation). And then there’s Adobe’s VoCo Project, a sort of a Photoshop for audio manipulation plus other related technologies out there:
So I guess it’s like the first article concludes:
The era of easily-faked photos is quickly emerging—much as it did when Photoshop became widely prevalent—so it’s a good time to remember we shouldn’t trust everything we see.
…and perhaps we’ll need to add, “we shouldn’t trust everything we hear either.” But how will the average person with average tools know the real deal? The concept of watermarking visuals/audio may be increasingly involved. From the ending of bbc.com article:
For its part, Adobe has talked of its customers using Voco to fix podcast and audio book recordings without having to rebook presenters or voiceover artists.
But a spokeswoman stressed that this did not mean its release was imminent.
“[It] may or may not be released as a product or product feature,” she told the BBC.
“No ship date has been announced.”
In the meantime, Adobe said it was researching ways to detect use of its software.
“Think about watermarking detection,” Mr Jin said at the demo, referring to a method used to hide identifiers in images and other media.
But again, we see that technology often races ahead. “Look at what we can do!” But then the rest of society — such as developing laws, policies, questions about whether we should roll out such technologies, etc. — needs time to catch up. Morals and ethics do come into play here — as trust levels are most assuredly at stake.
Another relevant article/topic/example of this is listed below. (Though I’m not trying to say that we shouldn’t pursue self-driving cars. Rather, the topic serves as another example of technologies racing ahead while it takes a while for the rest of us/society to catch up with them).
Faculty Predict Virtual/Augmented/Mixed Reality Will Be Key to Ed Tech in 10 Years — from campustechnology.com by Rhea Kelly
Faculty in our 2017 Teaching with Technology Survey believe tech will play a positive role in the future of higher education — but some technologies will be more important than others.
Excerpt:
What technologies do faculty think will be important in education over the next decade? The most popular answer to that question by far was virtual/augmented/mixed reality, garnering 81 percent of responses (it topped the list last year as well). Mobile devices and apps, 3D modeling/scanning/printing, adaptive/personalized learning and video/streaming all rounded out the top five.
From DSC:
Great to see several of these items made the list. I would also add:
Finally, it was great to see #9 on the list as I, too, believe that a next gen learning platform is needed:
![The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV](http://danielschristian.com/learning-ecosystems/wp-content/uploads/2012/07/The-Living-Class-Room-Daniel-S-Christian-July-2012.jpg)
Excerpt:
The Top 200 Tools for Learning 2017 (11th Annual Survey) has been compiled by Jane Hart of the Centre for Learning & Performance Technologies from the votes of 2,174 learning professionals worldwide, together with 3 sub-lists
Excerpt from the Analysis page (emphasis DSC):
Here is a brief analysis of what’s on the list and what it tells us about the current state of personal learning, workplace learning and education.
Some facts
Some observations on what the Top Tools list tells us personal and professional learning
As in previous years, individuals continue to using a wide variety of:
All of which shows that many individuals have become highly independent, continuous modern professional learners – making their own decisions about what they need to learn and how to do it.
Smartwatches Deemed Least Valuable Technology in the Classroom — from campustechnology.com by Rhea Kelly
In our second annual Teaching with Technology Survey, faculty revealed what technologies they use in the classroom, the devices they most value, what they wish for and more.
Excerpts:
Smartwatches may be one of the hottest gadgets in the consumer market — making up nearly a third of all wearables sales this year — but the climate in the classroom is noticeably cooler for the wrist-worn devices. In our 2017 Teaching with Technology Survey, smartwatches came in dead last in the list of technologies faculty consider essential or valuable for teaching and learning. Just 9 percent of faculty called the devices “valuable” (an increase from 5 percent in 2016), and not a one deemed them “essential.” What’s more, 9 percent of respondents considered smartwatches “detrimental.”
When we asked faculty what computing devices were most valuable for teaching and learning, laptops came out on top, considered “essential” by 54 percent of respondents (up from 49 percent in 2016). Workstations (defined as higher-end computers with faster processors, more RAM, more storage and dedicated graphics cards) came in second, followed by all-in-one computers, traditional desktops and detachable tablets. (The lineup was similar last year.)
NameCoach
Create strong faculty and student relationships with student-recorded name pronunciations.
Also see:
Software helps instructors stop mangling hard-to-pronounce student names — from edsurge.com by Tina Nazerian
Excerpt (emphasis DSC):
Learning names at the beginning of the term has long been a challenge for instructors—especially when the names are ones professors have never encountered before. There are companies like NameCoach that give professors a way to hear and review the correct pronunciation before classes even begin.
The Redwood City, Calif.-based company lets students record their own names and pairs the recordings with campus systems so that professors can listen to them as they review their rosters. Stanford University and Northwestern University are among the higher education institutions that use NameCoach.
2017 Teaching with Technology Survey — from campustechnology.com by Rhea Kelly
Excerpts:
We asked faculty to dish on their use of technology, likes and dislikes, views of the future and more. Here’s what they told us.
The case for a next generation learning platform — from campustechnology.com by Mary Grush & Daniel Christian
Excerpt (emphasis DSC):
Grush: Then what are some of the implications you could draw from metrics like that one?
Christian: As we consider all the investment in those emerging technologies, the question many are beginning to ask is, “How will these technologies impact jobs and the makeup of our workforce in the future?”
While there are many thoughts and questions regarding the cumulative impact these technologies will have on our future workforce (e.g., “How many jobs will be displaced?”), the consensus seems to be that there will be massive change.
Whether our jobs are completely displaced or if we will be working alongside robots, chatbots, workbots, or some other forms of AI-backed personal assistants, all of us will need to become lifelong learners — to be constantly reinventing ourselves. This assertion is also made in the aforementioned study from McKinsey: “AI promises benefits, but also poses urgent challenges that cut across firms, developers, government, and workers. The workforce needs to be re-skilled to exploit AI rather than compete with it…”
A side note from DSC:
I began working on this vision prior to 2010…but I didn’t officially document it until 2012.
A global, powerful, next generation learning platform
What does the vision entail?
“I’ve been predicting that by 2030 the largest company on the internet is going to be an education-based company that we haven’t heard of yet,” Frey, the senior futurist at the DaVinci Institute think tank, tells Business Insider.
Addendum from DSC (regarding the resource mentioned below):
Note the voice recognition/control mechanisms on Westinghouse’s new product — also note the integration of Amazon’s Alexa into a “TV.”
Westinghouse’s Alexa-equipped Fire TV Edition smart TVs are now available — from theverge.com by Chaim Gartenberg
The key selling point, of course, is the built-in Amazon Fire TV, which is controlled with the bundled Voice Remote and features Amazon’s Alexa assistant.
Finally…also see:
AI will make forging anything entirely too easy — from wired.com by Greg Allen
Excerpt:
Today, when people see a video of a politician taking a bribe, a soldier perpetrating a war crime, or a celebrity starring in a sex tape, viewers can safely assume that the depicted events have actually occurred, provided, of course, that the video is of a certain quality and not obviously edited.
But that world of truth—where seeing is believing—is about to be upended by artificial intelligence technologies.
We have grown comfortable with a future in which analytics, big data, and machine learning help us to monitor reality and discern the truth. Far less attention has been paid to how these technologies can also help us to lie. Audio and video forgery capabilities are making astounding progress, thanks to a boost from AI. In the future, realistic-looking and -sounding fakes will constantly confront people. Awash in audio, video, images, and documents, many real but some fake, people will struggle to know whom and what to trust.
Also referenced in the above article:
