2019 December

Another good example of a learning ecosystem!

On 12/07/2019, in business, career development, corporate / business world, corporate universities / corporate training, Daniel S. Christian, future of higher education, heutagogy, higher education, ideas, law schools, learning, learning ecosystem, lifelong learning, training / L&D, workplace, by Daniel Christian

From DSC:
Another good example of a learning ecosystem! Here’s a shout out to all of you checking in here:

Thanks for your time and for the check in!
Let’s all intentionally enhance our individual — as well as our organizations’ — learning ecosystems!

From Directed Learning to Self-Directed Learning: The role of L&D — from modernworkplacelearning.com

by

Considering AI in hiring? As its use grows, so do the legal implications for employers. [Martinez]

On 12/06/2019, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, corporate / business world, emerging technologies, ethics, law schools, leadership, legislatures / government / legal, morals/values, platforms, workplace, by Daniel Christian

Considering AI in hiring? As its use grows, so do the legal implications for employers. — from forbes.com by Alonzo Martinez; with thanks to Paul Czarapata for his posting on Twitter on this

Excerpt:

As employers grapple with a widespread labor shortage, more are turning to artificial intelligence tools in their search for qualified candidates.

Hiring managers are using increasingly sophisticated AI solutions to streamline large parts of the hiring process. The tools scrape online job boards and evaluate applications to identify the best fits. They can even stage entire online interviews and scan everything from word choice to facial expressions before recommending the most qualified prospects.

But as the use of AI in hiring grows, so do the legal issues surrounding it. Critics are raising alarms that these platforms could lead to discriminatory hiring practices. State and federal lawmakers are passing or debating new laws to regulate them. And that means organizations that implement these AI solutions must not only stay abreast of new laws, but also look at their hiring practices to ensure they don’t run into legal trouble when they deploy them.

Upwork debuts The Upwork 100, ranking the top 100 in-demand skills for independent professionals — from upwork.com

Excerpt:

The Upwork 100 ranks the top 100 skills and sheds light on skills that are both quickly growing and also experiencing a high level of demand, providing an indication of current trends in the independent labor market and tech industry. It also serves as a barometer of the skills businesses are seeking and that independent professionals are providing by balancing real-time insights with consistent patterns based on real work that’s been completed.

DC: This type of feature will likely be a part of our future learning ecosystems; algorithms/spiders/etc searching for top needs &providing a menu of learning selections 2meet those needs (available 24×7). Next Gen Platform #LearningfromtheLivingClassroom https://t.co/yKnbKmyvgT

— Daniel Christian (@dchristian5) December 6, 2019

Top artificial intelligence predictions for 2020 from IDC and Forrester [Press]

On 12/06/2019, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, career development, emerging technologies, future, game-changing environment, global / globalization, trends, United States, vendors, workplace, by Daniel Christian

Top artificial intelligence predictions for 2020 from IDC and Forrester — from forbes.com by Gil Press

Excerpts:

IDC and Forrester issued recently their predictions for artificial intelligence (AI) in 2020 and beyond. While external “market events” may make companies cautious about AI, says Forrester, “courageous ones” will continue to invest and expand the initial “timid” steps they took in 2019.

According to Forrester’s various surveys,

· 53% of global data and analytics decision makers say they have implemented, are in the process of implementing, or are expanding or upgrading their implementation of some form of artificial intelligence.

· 29% of global developers (manager level or higher) have worked on AI/machine learning (ML) software in the past year.

Technology is increasingly being used to provide legal services, which demands a new breed of innovative lawyer for the 21st century. Law schools are launching specialist LL.M.s in response, giving students computing skills — from llm-guide.com by Seb Murray

Excerpts:

Junior lawyers at Big Law firms have long been expected to work grueling hours on manual and repetitive tasks like reviewing documents and doing due diligence. Increasingly, such work is being undertaken by machines – which can be faster, cheaper and more accurately than humans. This is the world of legal technology – the use of technology to provide legal services.

The top law schools recognize the need to train not just excellent lawyers but tech-savvy ones too, who understand the application of technology and its impact on the legal market. They are creating specialist courses for those who want to be more involved with the technology used to deliver legal advice.

“Technology is changing the way we live, work and interact,” says Alejandro Touriño, co-director of the course. “This new reality demands a new breed of lawyers who can adapt to the emerging paradigm. An innovative lawyer in the 21st century needs not only to be excellent in law, but also in the sector where their clients operate and the technologies they deal with.”

The rapid growth in Legal Tech LL.M. offerings reflects a need in the professional world. Indeed, law firms know they need to become digital businesses in order to attract and retain clients and prospective employees.

From DSC:
In case it’s helpful or interesting, a person interested in a legal career needs to first get a Juris Doctor (J.D.) Degree, then pass the Bar. At that point, if they want to expand their knowledge in a certain area or areas, they can move on to getting an LL.M. Degree if they choose to.

As in the world of higher ed and also in the corporate training area, I have it that the legal field will need to move more towards the use of teams of specialists. There will be several members of the team NOT having law degrees. For example, technologists, programmers, user experience designers, etc. should be teaming up with lawyers more and more these days.

Canvas parent Instructure to go private in $2B deal — from educationdive.com by Hallie Busta

Also see:

New Ownership for an LMS Giant: Private Equity Firm to Buy Instructure for $2 Billion — from edsurge.com by Jeff Young

30 influential AI presentations from 2019 [re-work.co]

On 12/04/2019, in Adobe, Apple, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, blogs / blogging / vlogging, change, emerging technologies, Facebook / Meta Platforms, presentations, universities, vendors, by Daniel Christian

30 influential AI presentations from 2019 — from re-work.co

Excerpt:

It feels as though 2019 has gone by in a flash, that said, it has been a year in which we have seen great advancement in AI application methods and technical discovery, paving the way for future development. We are incredibly grateful to have had the leading minds in AI & Deep Learning present their latest work at our summits in San Francisco, Boston, Montreal and more, so we thought we would share thirty of our highlight videos with you as we think everybody needs to see them!. (Some are hosted on our Videohub and some on our YouTube, but all are free to view!).

Example presenters:

Dawn Song, Professor, UC Berkeley.
Doina Precup, Research Team Lead, DeepMind.
Natalie Jakomis, Group Director of Data, goCompare.
Ian Goodfellow, Director, Apple.
Timnit Gebru, Ethical AI Team, Google.
Cathy Pearl, Head of Conversation Design Outreach, Google.
Zoya Bylinskii, Research Scientist, Adobe Research.
…and many others

OPINION: The odds are still stacked against low-income college students; here are some ways to expand the possibilities — from hechingerreport-org by Aimee Eubanks-Davis; with thanks to Joseline Hardrick at the WMU-Cooley Law School for posting this on LinkedIn

Excerpts:

Unfortunately, the odds for low-income students are still stacked against them. In fact, only one in four will graduate with a strong first job or enter graduate school. There is no safety net for these students. In fact, for their families, they are the safety net. They’ll start college expecting to leave with good-paying jobs with benefits that allow them to pay back loans, help their parents or other family members financially, and lead a self-sustaining life. Instead, the jobs that college graduates from low-income backgrounds do eventually land set them on an incongruent path to earn 66 cents on the dollar compared to their more affluent peers.

When we help provide low-income and first-generation college students the tools to overcome gaps in skills, assist them in getting a foot in the door at a top internship and connect them with professionals in the field, they will blow us away every time. I, for one, am excited to see a world in which extraordinary diverse leaders can emerge truly from anywhere and everywhere.

Free downloads to transform your teaching & unleash the science of learning! [RetrievalPractice.org]

On 12/04/2019, in assessment, learning, learning ecosystem, learning theories, memory, metacognition / metacognitive skills, pedagogy, psychology, research, science, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, tools, youth, by Daniel Christian

Per RetrievalPractice.org:

Download ALL our free guides, research, and resources!

We’re here to make your life easier. In order to unleash the science of learning, we strive to make it easy to access and quick to implement.

That’s why we really want you to download everything from our library, including free practice guides, book club resources, research, and more.

2019 study of undergraduate students & information technology [educause]

On 12/03/2019, in accessibility / UDL, active learning, adjunct faculty, adult learning, analytics, attention, blended learning, CMS/LMS, colleges, community colleges, corporate universities / corporate training, Daniel S. Christian, data related items, digital learning, education technology, engagement / engaging students, face-to-face, faculty, flipping -- inverted learning, formal learning, higher education, hybrid learning, instructional design, interactivity, internet, IT in HE, learning, learning ecosystem, learning preferences, online learning, pedagogy, platforms, student teaching/teacher education, student-related, teaching & learning, teaching online, training / L&D, United States, universities, by Daniel Christian

2019 study of undergraduate students & information technology — from library.educause.edu

Excerpts:

Drawing on survey data from more than 40,000 students across 118 US institutions, this report highlights a number of important findings related to students’ technology preferences, supports, and experiences, with the goal of aiding technology and higher education professionals in improving student learning experiences and success.
…
But they want to be more than in-class spectators:

“I want my professors to stop reading PowerPoint slides word-for-word off of a screen, and to start using the technology at hand to create a different kind of lecture that will engage their students in the learning process.”
“I’d love for there to be more interactive polling and questions during class. Even though I don’t like the idea of being in lecture every day, that would keep me more engaged if the instructors were more dynamic with their tech use.”
“Integrate [technology] more into lectures. It’s very difficult to sit and watch you talk. Technology can be so beneficial to learning if used in the right ways to enhance and complement lectures. Use collaborative quizzes (Kahoot, etc.), let us research in class, etc.”
“Provide more online learning tools such as interactive lectures where people on laptops or tablets can also engage with the material being presented.”

Figure 2. Student learning environment preferences for specific course-related activities and assignments

Recommendations

Leverage analytics to gain a greater understanding of the student demographics that influence learning environment preferences.
Continue to promote online success tools and provide training to students on their use through orientations and advisement sessions.
Expand efforts to improve Wi-Fi reliability in campus housing and outdoor spaces.
Allow students to use the devices that are most important to their academic success in the classroom.
Establish a campus community to address accessibility issues and give “accessibility evangelists” a seat at the table.

From DSC:
Well students…you might find that you have a major surprise ahead of you — as a significant amount of your future learning/training will take place completely online. Go ask some folks who have graduated about their onboarding experiences. Then go ask people who have been in the workplace for over a decade. You’ll see what I mean.

If you need some humor on this day: Some great quotes from Steven Wright

On 12/03/2019, in Daniel S. Christian, by Daniel Christian

Some great quotes from Steven Wright — with thanks to Mr. Joe Byerwalter for the laughs this am!

5 – 82.7% of all statistics are made up on the spot.
10 – The early bird may get the worm, but the second mouse gets the cheese.
23 – My mechanic told me, “I couldn’t repair your brakes, so I made your horn louder.”
25 – If at first you don’t succeed, destroy all evidence that you tried.
26 – A conclusion is the place where you got tired of thinking.
27 – Experience is something you don’t get until just after you need it.
28 – The hardness of the butter is proportional to the softness of the bread.
34 – If at first you don’t succeed, skydiving is not for you.
35 – If your car could travel at the speed of light, would your headlights work?

Ten predictions for the very near future of higher education [Busteed]

On 12/03/2019, in 21st century, adjunct faculty, colleges, community colleges, cost of getting a degree, faculty, future of higher education, game-changing environment, higher education, learning ecosystem, marketplaces, society, United States, universities, workplace, by Daniel Christian

Ten predictions for the very near future of higher education — from forbes.com by Brandon Busteed

Excerpt:

Down (or flat) will be the new up when it comes to tuition prices.
“Elite” will shift from being the sought-after brand to a questionable one for all but the wealthy. Country clubs or colleges? That will be the question.

Instead of going to college to get a job, students will increasingly be going to a job to get a college degree.

The 20 top tech skills that employers want and that can help you find a job, according to recruiting site Indeed — from businessinsider.com by Rosalie Chan and Bani Sapra

Excerpt:

The job search site Indeed released a report this month about the top tech skills of 2019 based on job descriptions that are being posted.

Andrew Flowers, an economist at Indeed, says that in today’s job market, there are two major trends that drive the top skills in tech. The first is the rise of data science, machine learning, and artificial intelligence. The second is the rise of cloud computing.

“Python has had explosive growth,” Flowers told Business Insider. “If I’m around the dinner table and a nephew asks what should I learn? Having done this report, I would say, learn Python.”

Amazon’s Ring planned neighborhood “watch lists” built on facial recognition — from theintercept.com by Sam Biddle

Excerpts (emphasis DSC):

Ring, Amazon’s crime-fighting surveillance camera division, has crafted plans to use facial recognition software and its ever-expanding network of home security cameras to create AI-enabled neighborhood “watch lists,” according to internal documents reviewed by The Intercept.
…

Previous reporting by The Intercept and The Information revealed that Ring has at times struggled to make facial recognition work, instead relying on remote workers from Ring’s Ukraine office to manually “tag” people and objects found in customer video feeds.
…
Legal scholars have long criticized the use of governmental watch lists in the United States for their potential to ensnare innocent people without due process. “When corporations create them,” said Tajsar, “the dangers are even more stark.” As difficult as it can be to obtain answers on the how and why behind a federal blacklist, American tech firms can work with even greater opacity: “Corporations often operate in an environment free from even the most basic regulation, without any transparency, with little oversight into how their products are built and used, and with no regulated mechanism to correct errors,” Tajsar said.

From DSC:
Those working or teaching within the legal realm — this one’s for you. But it’s also for the leadership of the C-Suites in our corporate world — as well as for all of those programmers, freelancers, engineers, and/or other employees working on AI within the corporate world.

By the way, and not to get all political here…but who’s to say what happens with our data when it’s being reviewed in Ukraine…?

Also see:

Opinion: AI for good is often bad — from wired.com by Mark Latonero
Trying to solve poverty, crime, and disease with (often biased) technology doesn’t address their root causes.

AI innovators should be listening to kids — from wired.com by Urs Gasser, executive director of the Berkman Klein Center for Internet & Society at Harvard University, the principal investigator of the Center’s Youth and Media project, and a professor at Harvard Law School.
Input from the next generation is crucial when it comes to navigating the challenges of new technologies.

Excerpts:

With another monumental societal transformation on the horizon—the rise of artificial intelligence—we have an opportunity to engage the power and imagination of youth to shape the world they will inherit. Many of us were caught off guard by the unintended consequences of the first wave of digital technologies, from mass surveillance to election hacking. But the disruptive power of the internet to date only sets the stage for the even more radical changes AI will produce in the coming decades.

Instead of waiting for the youth to respond to the next crisis, we should proactively engage them as partners in shaping our AI-entangled future.

Young people have a right to participate as we make critical choices that will determine what kind of technological world we leave for them and future generations. They also have unique perspectives to contribute as the first generation to grow up surrounded by AI shaping their education, health, social lives, leisure, and career prospects.

Youth have the most at stake, and they also have valuable perspectives and experiences to contribute. If we want to take control of our digital future and respond effectively to the disruptions new technology inevitably brings, we must listen to their voices.

Learning Ecosystems

Another good example of a learning ecosystem!

Considering AI in hiring? As its use grows, so do the legal implications for employers. [Martinez]

Top artificial intelligence predictions for 2020 from IDC and Forrester [Press]

…a new breed of innovative lawyer is needed for the 21st century.

30 influential AI presentations from 2019 [re-work.co]

If you need some humor on this day: Some great quotes from Steven Wright

Ten predictions for the very near future of higher education [Busteed]

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