DC: Nice to see such a piece coming from the legal side of the house.#FacialRecognition #AI #Legal #Lawschools #EmergingTechnologies https://t.co/THVDUFL5cs
— Daniel Christian (@dchristian5) July 17, 2020
DC: Nice to see such a piece coming from the legal side of the house.#FacialRecognition #AI #Legal #Lawschools #EmergingTechnologies https://t.co/THVDUFL5cs
— Daniel Christian (@dchristian5) July 17, 2020
DC: Individuals or teams can use this tool that works on top of Zoom (i.e., doesn’t require the network effect to make a diff). How might such functionality impact online-based learning?#onlinelearning#inclusion#videoconferencing https://t.co/b2IFvHpsVO
— Daniel Christian (@dchristian5) July 15, 2020
“Existing meeting interfaces had been designed with a singular goal, to simply enable virtual conversations. How could we build a meeting interface from the ground-up that intentionally facilitates engaging, productive, and inclusive conversations?”
The increasingly essential role of the law librarian — from abovethelaw.com by Robert Ambrogi
Robots are not coming for law librarians’ jobs.
Excerpts:
Last year, I contributed a chapter to Law Librarianship in the Age of AI, a book published by the American Library Association. In my chapter, on the future of AI in law libraries, I described what I see as four roles of law librarians that exist already and that will become more essential as technology evolves.
Microsoft Teams Rolls Out Virtual Rooms to Fight ‘Meeting Fatigue’ — from cheddar.com by Taylor Craig
From DSC:
Again, the longer the Coronavirus hangs around and we are learning and meeting like this, the more innovations like these will occur.
Addendums on 7/14/20:
Microsoft’s Together mode can help address executives’ concerns over remote work productivity — from businessinsider.com by Hirsh Chitkara
Excerpt:
Together mode offers an alternative to “grid view,” in which video call participants are displayed on-screen — instead, through AI segmentation, participants are placed in a single virtual environment such as an auditorium or coffee bar, creating the illusion that they are in the same space.
The future of work—the good, the challenging & the unknown — from microsofot.com by Jared Spataro
Excerpt:
Together mode is a new option in the Teams meeting experience that uses AI segmentation technology to digitally place participants in a shared background. The view makes it feel like you’re sitting in the same room, which reduces background distractions, makes it easier to pick up on non-verbal cues, and makes back and forth conversation feel more natural.
From DSC:
As I’ve been listening to some sermons on my iPhone, I end up taking visual snapshots of the times that they emphasize something. Here are some examples:
Which got me to thinking…while tools like Panopto* give us something along these lines, they don’t present to the student what the KEY POINTS were in any given class session.
So professors — in addition to teachers, trainers, pastors, presenters, etc. — should be able to quickly and easily instruct the software to create a visual table of contents of key points based upon which items the professor favorited or assigned a time signature to. I’m talking about a ONE keystroke or ONE click of the mouse type of thing to instruct the software to take a visual snapshot of that point in time (AI could even be used to grab the closest image without someone’s eyes shut). At the end of the class, there are then just a handful of key points that were made, with links to those time signatures.
At the end of a course, a student could easily review the KEY POINTS that were made throughout the last ___ weeks.
****
But this concept falls apart if there are too many things to remember. So when a professor presents the KEY POINTs to any given class, they must CURATE the content. (And by the way, that’s exactly why pastors normally focus on only 3-4 key points…otherwise, it gets too hard to walk away with what the sermon was about.)
****
One could even build upon the table of contents. For example…for any given class within a law school’s offerings, the professor (or another team member at the instructions of the professor) could insert links to:
****
And maybe even:
At the end of the day, if your communication isn’t in a digital format, there is no playback available. What’s said is said…and gone.
* The functionality discussed here would take a day’s worth of work for a developer at Panopto (i.e., give a presenter a way to favorite existing TOC items and/or to assign a time signature to slots of time in a recording) — but it would save people and students sooooo much time. Such functionality would help us stay up-to-date — at least at a basic level of understanding — on a variety of topics.
From DSC:
The article below got me to thinking about designing learning experiences and what our learning experiences might be like in the future — especially after we start pouring much more of our innovative thinking, creativity, funding, entrepreneurship, and new R&D into technology-supported/enabled learning experiences.
LMS vs. LXP: How and why they are different — from blog.commlabindia.com by Payal Dixit
LXPs are a rising trend in the L&D market. But will they replace LMSs soon? What do they offer more than an LMS? Learn more about LMS vs. LXP in this blog.
Excerpt (emphasis DSC):
Building on the foundation of the LMS, the LXP curates and aggregates content, creates learning paths, and provides personalized learning resources.
Here are some of the key capabilities of LXPs. They:
So, this is about the LXP and what it offers; let’s now delve into the characteristics that differentiate it from the good old LMS.
From DSC:
Entities throughout the learning spectrum are going through many changes right now (i.e., people and organizations throughout K-12, higher education, vocational schools, and corporate training/L&D). If the first round of the Coronavirus continues to impact us, and then a second round comes later this year/early next year, I can easily see massive investments and interest in learning-related innovations. It will be in too many peoples’ and organizations’ interests not to.
I highlighted the bulleted points above because they are some of the components/features of the Learning from the Living [Class] Room vision that I’ve been working on.
Below are some technologies, visuals, and ideas to supplement my reflections. They might stir the imagination of someone out there who, like me, desires to make a contribution — and who wants to make learning more accessible, personalized, fun, and engaging. Hopefully, future generations will be able to have more choice, more control over their learning — throughout their lifetimes — as they pursue their passions.
From DSC:
If the first wave of the Coronavirus continues — and is joined by a second wave later this year or early next year — I think a more permanent, game-changing situation is inevitable. As such, now’s the time to change the paradigms that we’ve been operating under.
It’s time to move to *a team-based approach.* To build up the set of skills an organization needs to pivot and adapt — regardless of what comes their way.
Let’s stop asking one faculty member to do it all! Consider this:
With the move to online learning, one person can’t do it all anymore — at least not at the level that the newer generations are coming to expect. They have grown accustomed to amazing, team-based/built content and products.
Plus, newer generations are going to know and experience much more telehealth-related services…then much more telelegal-related services. They will come to experience/expect high-quality learning-related products and services that way as well. Going forward, there are too many skillsets required by the creation and production of high-quality, online-based learning — not to mention the continued hard work of staying up-to-date on the main subject matter expertise at hand.
So if the kind of perspective continues as found in this piece — SURVEY: Students say they shouldn’t have to pay full price for online classes — then colleges and universities would do well to invest money in new Research & Development efforts, in team-based content creation, and in reimagining what online-learning could act/be like. Same for the vendors out there. And faculty members would be wise to invest the time and energy it takes to be able to teach online as well as in a face-to-face setting. Not only are they more marketable once they’ve done this, but they are then also more prepared to find their place within an uncertain future.
All of this will likely be an expensive process. Also, greater collaboration will be needed within a department (as we can’t be building a course per professor) as well as between organizations. Perhaps the use of consortiums will increase…I’m not sure.
Perhaps a new platform will develop — similar to what’s contained in this vision. Such a platform will feature content that was designed and built by a team. Such a learning-related platform will offer streams of highly-relevant content — while providing continuous, affordable, up-to-date, convenient, and very well done means of staying marketable/employed.
For another paradigm shift, accreditation bodies/practices are going to have to also change, adapt, pivot, and help innovative ideas come to fruition. But that’s another posting for another day.
This unique free event is designed to give our learning community a chance to explore the most popular topics discussed at Learning Technologies.
The 2020 Learning Technologies Summer Forum (#LTSF20) takes place online, looking at some of the key topics we examined at February’s conference. Once again, the Summer event is an opportunity to interact, experiment and try some new things together.
Wrongfully accused by an algorithm — from nytimes.com by Kashmir Hill
Excerpt:
On a Thursday afternoon in January, Robert Julian-Borchak Williams was in his office at an automotive supply company when he got a call from the Detroit Police Department telling him to come to the station to be arrested. He thought at first that it was a prank.
An hour later, when he pulled into his driveway in a quiet subdivision in Farmington Hills, Mich., a police car pulled up behind, blocking him in. Two officers got out and handcuffed Mr. Williams on his front lawn, in front of his wife and two young daughters, who were distraught. The police wouldn’t say why he was being arrested, only showing him a piece of paper with his photo and the words “felony warrant” and “larceny.”
His wife, Melissa, asked where he was being taken. “Google it,” she recalls an officer replying.
…
“Is this you?” asked the detective.
The second piece of paper was a close-up. The photo was blurry, but it was clearly not Mr. Williams. He picked up the image and held it next to his face.
“No, this is not me,” Mr. Williams said. “You think all black men look alike?”
Also relevant/see:
Acts of meaning: How AI-based interviewing will transform career preparation in higher education — from er.educause.edu by Alan Jones, Suzan Harkness and Nathan Mondragon
Excerpt:
Machines parrot and correlate information. They do not comprehend or synthesize information the way humans do. Factors such as accents in pronunciation, word ambiguity (especially if a word has multiple meanings), deeply coded biases, limited association data sets, narrow and limited network layers used in job screening, and static translations will continue to provide valid ground for caution in placing too much weight or attributing too much confidence in AI in its present form. Nonetheless, AI has crept into job candidate screening, the medical field, business analytics, higher education, and social media. What is currently essential is establishing an understanding of how best to harness and shape the use of AI to ensure it is equitable, valid, and reliable and to understand the shifting paradigm that professional career counselors play on campus as AI becomes more ubiquitous.
There appear to be three points worth considering: the AI interview in general, the predominance of word choice, and expressiveness as read by facial coding.
From DSC:
Until there is a lot more diversity within the fields of computer science and data science, I’m not as hopeful that biases can be rooted out. My niece, who worked for Microsoft for many years, finally left the company. She was tired of fighting the culture there. The large tech companies will need to do a lot better if AI is going to make FAIR and JUST inroads.
Plus, consider how many biases there are!
IBM, Amazon, and Microsoft abandon law enforcement face recognition market — from which-50.com by Andrew Birmingham
Excerpt:
Three global tech giants — IBM, Amazon, and Microsoft — have all announced that they will no longer sell their face recognition technology to police in the USA, though each announcement comes with its own nuance.
The new policy comes in the midst of ongoing national demonstrations in the US about police brutality and more generally the subject of racial inequality in the country under the umbrella of the Black Lives Matter movement.
From DSC:
While I didn’t read the fine print (so I don’t know all of the “nuances” they are referring to) I see this as good news indeed! Well done whomever at those companies paused, and thought…
Addendum on 6/18/20:
Per Kim O’Leary, here are some resources re: the topic of giving/receiving feedback:
Other items re: feedback worth checking out:
How ‘Learning Engineering’ Hopes to Speed Up Education — from edsurge.com by Jeff Young
Excerpt (emphasis DSC):
One insight Lepper brought is that when education software tools simply list all the errors students made and points out what they should have done instead, what many end up hearing is, “You’re wrong, you’re wrong, you’re wrong.” For students, this is a discouraging engagement, Lepper says.
“That kind of feedback would be perfect if you had a robot learner on the other end,” he says. “The robot learner would be delighted to have you say, ‘Okay, you made three errors in problem number one,’ and being a robot learner, they’d be able to take out those bugs and do better the next time. Real kids, especially real kids who are kind of phobic about math and who think they can’t do it, they leave and say, ‘See I can’t do it.’”
Don’t water down feedback to your student — from teachingprofessor.com by John Orlando
RetrievalPractice.org/feedback
From OLC session “Carl Rogers, Teaching Presence, and Student Engagement in Online Learning” Cheng-Chia (Brian) Chen, Denise Bockmier-Sommers, & Karen Swan (emphasis DSC)
Leveraging Feedback Experiences in Online Learning — from er.educause.edu by Erin Crisp
Here are some design tips to increase the probability for success.
DC: As the technologies get more powerful, so do the ramifications/consequences. #AI #emergingtechnologies #society #politics #elections https://t.co/QnDfIjOdOf
— Daniel Christian (@dchristian5) June 8, 2020
From DSC:
As the technologies get more powerful, so do the ramifications/consequences. And here’s the kicker. Just like we’re seeing with trying to deal with systemic racism in our country…like it or not, it all comes back to the state of the hearts and minds out there. I’m not trying to be preachy or to pretend that I’m better than anyone. I’m a sinner. I know that full well. And I view all of us as equals trying to survive and to make our way in this tough-to-live-in world. But the unfortunate truth is that technologies are tools, and how the tools are used depends upon one’s heart.
Proverbs 4:23 New International Version (NIV) — from biblegateway.com
23 Above all else, guard your heart,
for everything you do flows from it.
This startup is using AI to give workers a “productivity score” — from technologyreview.com by Will Douglas
Enaible is one of a number of new firms that are giving employers tools to help keep tabs on their employees—but critics fear this kind of surveillance undermines trust.
Excerpt:
In the last few months, millions of people around the world stopped going into offices and started doing their jobs from home. These workers may be out of sight of managers, but they are not out of mind. The upheaval has been accompanied by a reported spike in the use of surveillance software that lets employers track what their employees are doing and how long they spend doing it.
Companies have asked remote workers to install a whole range of such tools. Hubstaff is software that records users’ keyboard strokes, mouse movements, and the websites that they visit. Time Doctor goes further, taking videos of users’ screens. It can also take a picture via webcam every 10 minutes to check that employees are at their computer. And Isaak, a tool made by UK firm Status Today, monitors interactions between employees to identify who collaborates more, combining this data with information from personnel files to identify individuals who are “change-makers.”
Machine-learning algorithms also encode hidden bias in the data they are trained on. Such bias is even harder to expose when it’s buried inside an automated system. If these algorithms are used to assess an employee’s performance, it can be hard to appeal an unfair review or dismissal.
DC: As with the increased use of #drones during this time of the #Coronavirus here’s yet another slippery slope.#EmergingTechnologies #law #legal #policy #legislation #society #ethics #AI #workplace https://t.co/ImIw4yAwag
— Daniel Christian (@dchristian5) June 6, 2020
From DSC:
And this phenomenon of learning from the living [class] room will likely pick up steam; some learning-related services are already heading that way.
Also see:
Preparing Students for a Lifelong Disruptive Future: The 60-Year Curriculum — from evolllution.com by Chris Dede | Professor of Learning Technologies in the Graduate School of Education, Harvard University and John Richards | Professor in the Graduate School of Education, Harvard University
Although written before the pandemic, a just-published book, The 60-Year Curriculum: New Models for Lifelong Learning in the Digital Economy (Dede and Richards, 2020), describes the looming challenge/opportunity of a coming, epic half-century whose intensity of disruption will rival the historic period civilization faced from 1910-1960: two world wars, a global pandemic, a long-lasting economic depression and unceasing conflicts between capitalism and communism.
…
In our tactical responses to moving teaching online because of the pandemic, we have the strategic opportunity to develop a new model that blends higher and continuing education and realizes the potential of next-generation methods of instruction and assessment (National Academy of Sciences, Engineering and Medicine, 2018) to focus on lifelong learning.