workplace

Creativity Required: How a Tesla Partnership is Setting the Stage for Program and Credential Innovation — from evolllution.com by Lenore Rodicio
By building strong employer partnerships and bringing a creative approach to program design and credentialing, it’s possible for colleges to create opportunities for learners to build the skills they need to work while progressing toward a degree.

Excerpt:

So for this particular program, a new state-of-the-art facility is being specifically constructed at MDC’s west campus from the ground up. Tesla provides the vehicles, equipment, instructors, tools and curriculum for hands-on learning.

Here’s another item that deals with creativity:

Digital Transformation: A Focus on Creativity, Not Tools — from campustechnology.com by Mary Grush and Ellen Wagner
Excerpt:
It is easier to talk about [the technology tools] than it is to talk about the things people need to do to adapt to working with the new tools. And what’s odd is the lack of anticipation about the potential of digital transformation to open up true innovation and creativity. That’s the real prize, and it seems like this point is often missed.
…
Of course, in my role as a researcher at the Mixed Emerging Technology Integration Lab (the METIL lab) at the University of Central Florida’s Institute for Simulation and Training, I’ve begun work on three new projects that incorporate simulation, mobile, and artificial intelligence. We don’t just learn about the tools; we study their impact and how they can extend creativity.For another example of related research, take a look at ShapingEdu and the Humersive Learning Project at Arizona State University. There, the researchers look specifically at immersive learning and how to humanize it while fostering innovation.

Artificial Intelligence has a gender problem — why it matters for everyone [Bondy]

On 12/09/2019, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning, career development, computer science, corporate / business world, morals/values, participation, programming, society, workplace, by Daniel Christian

Artificial Intelligence has a gender problem — why it matters for everyone — from nbcnews.com by Halley Bondy
To fight the rise of bias in AI, more representation is critical in the computing workforce, where only 26 percent of workers are women, 3 percent are African-American women, and 2 percent are Latinx.

Excerpt:

More women and minorities must work in tech, or else they risk being left behind in every industry.

This grim future was painted by Artificial Intelligence (AI) equality experts who spoke at a conference Thursday hosted by LivePerson, an AI company that connects brands and consumers.

In that future, if AI goes unchecked, workplaces will be completely homogenous, hiring only white, nondisabled men.

Guest speaker Cathy O’Neil, who authored “Weapons of Math Destruction,” explained how hiring bias works with AI: company algorithms are created by (mostly white male) data scientists, and they are based on the company’s historic wins. If a CEO is specifically looking for hirees who won’t leave the company after a year, for example, he might turn to AI to look for candidates based on his company’s retention rates. Chances are, most of his company’s historic wins only include white men, said O’Neil.

The Rise of Do-It-Yourself Education [Schroeder]

On 12/08/2019, in adult learning, corporate / business world, corporate universities / corporate training, cost of getting a degree, heutagogy, higher education, learning, learning ecosystem, Lifelong learning, Microlearning, MOOCs -- Massive Open Online Courses, online learning, online media, training / L&D, trends, United States, workplace, by Daniel Christian

The Rise of Do-It-Yourself Education — from insidehighered.com by Ray Schroeder
Do it yourself is more than just a trend for crafts and home improvements — it is an ethos that has reached higher education.

Excerpt (emphasis DSC):

More than 50 percent of the DIY-ers are between 24 and 44 years of age, and the numbers are growing. This trend is immutable now; it is continuing to grow in numbers and expand into new fields every year.
…
The pervasive DIY mind-set has spilled over into independent learning online, as Dian Schaffhauser writes:

A do-it-yourself mindset is changing the face of education worldwide, according to new survey results. Learners are “patching together” their education from a “menu of options,” including self-teaching, short courses and bootcamps, and they believe that self-service instruction will become even more prevalent for lifelong learning. In the United States specifically, 84 percent of people said learning would become even more self-service the older they get.

Heutagogy is the study and practice of self-determined learning.

As enrollments decline nationally, so many individual universities continue to experience declines year after year. Is it not worth considering these broad societal changes that are moving students toward skilling and upskilling via DIY, rather than marketing the same degrees in the same structure that is producing losses year after year? Who is leading this initiative at your university?

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, 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.

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

On 12/06/2019, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning, 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.

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.

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.”

6 reasons why higher education needs to be disrupted [Chamorro-Premuzic & Frankiewicz]

On 11/29/2019, in adjunct faculty, business side of he, change, changing business models, colleges, corporate / business world, corporate universities / corporate training, cost of getting a degree, Daniel S. Christian, disruption, faculty, higher education, research, training / L&D, United States, universities, workplace, by Daniel Christian

6 reasons why higher education needs to be disrupted — from hbr.org by Tomas Chamorro-Premuzic and Becky Frankiewicz

In our view, until the entire higher educational system prioritizes the classroom over the research lab, it will be a challenge for this dynamic to change.

Excerpts:

Employers need skills, not just knowledge or titles:
Students want jobs, not knowledge or titles:
Students are paying more and more to get less and less:
Students have unrealistic expectations (understandably) about college:
Many elite universities prioritize research, often at the expense of teaching:
Instead of boosting meritocracy, universities reinforce inequality:

The fundamental question we see is this: If a university claims to be a top educational institution, shouldn’t it admit the people with the lowest test scores, and turn them into the leader of tomorrow (as opposed to admitting the people with the highest income and test scores, who would probably rule the world tomorrow regardless of those three or four years in college)?

From DSC:
My hat’s off to those who teach in those institutions who “open wide” the gates of entry!!! They are the professors who have to work their tails off to help their students.

And shame on the elite institutions who continue to value research/grant $$ waaaaaay over teaching — all while charging more and more for less and less…and while many graduates students end up teaching a lot of the undergraduate students. Those graduate students most likely haven’t been taught how to teach either!

And what higher ed pays adjunct faculty members is a complete disgrace — while many coaches make millions of $’s. Full-time faculty members — and administrators/provosts/other members of leadership — who were suddenly put into the adjunct faculty member’s role/wages would be outraged and demand immediate change.

Why AI is a threat to democracy – and what we can do to stop it — from asumetech.com by Lawrence Cole

Excerpts:

In the US, however, we also have a tragic lack of foresight. Instead of creating a grand strategy for AI or for our long-term futures, the federal government has removed the financing of scientific and technical research. The money must therefore come from the private sector. But investors also expect a certain return. That is a problem. You cannot plan your R&D breakthroughs when working on fundamental technology and research. It would be great if the big tech companies had the luxury of working very hard without having to organize an annual conference to show off their newest and best whiz bang thing. Instead, we now have countless examples of bad decisions made by someone in the G-MAFIA, probably because they worked quickly. We begin to see the negative effects of the tension between doing research that is in the interest of humanity and making investors happy.
…
The problem is that our technology has become increasingly sophisticated, but our thinking about what free speech is and what a free market economy looks like has not become that advanced. We tend to resort to very basic interpretations: free speech means that all speech is free, unless it conflicts with defamation laws, and that’s the end of the story. That is not the end of the story. We need to start a more sophisticated and intelligent conversation about our current laws, our emerging technology, and how we can make the two meet halfway.

So I absolutely believe that there is a way forward. But we have to come together and bridge the gap between Silicon Valley and DC, so that we can all steer the boat in the same direction.

— Amy Webb, futurist, NYU professor, founder of the Future Today Institute

Also see:

“FRONTLINE investigates the promise and perils of artificial intelligence, from fears about work and privacy to rivalry between the U.S. and China. The documentary traces a new industrial revolution that will reshape and disrupt our lives, our jobs and our world, and allow the emergence of the surveillance society.”

The film has five distinct messages about:

1. China’s AI Plan
2. The Promise of AI
3. The Future of Work
4. Surveillance Capitalism
5. The Surveillance State

Legal Innovation [Raconteur; UK]

On 11/25/2019, in corporate / business world, Law Schools, leadership, legal technologies, legislatures / government / legal, strategy, UK, workplace, by Daniel Christian

How to adapt to the future of work [Daniel Goleman]

On 11/23/2019, in 21st century, business, change, changing business models, corporate / business world, corporate universities / corporate training, future, game-changing environment, ideas, leadership, legislatures / government / legal, strategy, student-related, technology (general), training / L&D, workplace, youth, by Daniel Christian

How to Adapt to the Future of Work https://t.co/JaosI4mMtx

— Simon Porter (@simonlporter) November 22, 2019

Also see:

“Much of what’s being sold as ‘AI’ today is snake oil.” [Arvind Narayanan; Assoc. Prof. of CS at Princeton ]

On 11/22/2019, in adjunct faculty, algorithms, analytics, Artificial Intelligence / Machine Learning / Deep Learning, blogs / blogging, bots, change, collaboration, communications, computer science, copyright / royalty-free, corporate / business world, engineering, ethics, faculty, health, ideas, innovation, learning, learning ecosystem, Natural Language Processing (NLP), Near Field Communication (NFC), platforms, productivity / tips and tricks, robotics, social learning / networks, social media, tools, United States, universities, voice recognition / voice enabled interfaces, web-based collaboration, workplace, by Daniel Christian

Much of what’s being sold as “AI” today is snake oil. It does not and cannot work. In a talk at MIT yesterday, I described why this happening, how we can recognize flawed AI claims, and push back. Here are my annotated slides: https://t.co/iCpyFw5urN pic.twitter.com/pmOTI3vq8p

— Arvind Narayanan (@random_walker) November 19, 2019

From DSC:
I wish that more faculty members would share their research, teaching methods, knowledge, and commentary with the world as this professor does (vs. talking to other professors behind publishers’ walled off content). In this case, Arvind happens to use Twitter. But if one doesn’t like to use Twitter, there’s also LinkedIn, WordPress/blogging, podcasting, and other outlets.

Learning Ecosystems

Artificial Intelligence has a gender problem — why it matters for everyone [Bondy]

The Rise of Do-It-Yourself Education [Schroeder]

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.

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

The 20 top tech skills that employers want & that can help you find a job [Chan & Sapra]

6 reasons why higher education needs to be disrupted [Chamorro-Premuzic & Frankiewicz]

“In the Age of AI” [PBS] + “Why AI is a threat to democracy – & what we can do to stop it” [Cole]

Legal Innovation [Raconteur; UK]

Categories

Tags

Looking for something?

Visit our friends!

Archives