The Great Resignation: The toll taken on the legal field and what comes next — from abajournal.com by Thomas MacDonald

Excerpt:

The pandemic has reshaped thinking around the value of work. The Thomson Reuters Stellar Performance: Skills and Progression Mid-Year Survey uncovered three specific priorities legal professionals are factoring into their career decisions.

  • Balance: Young professionals are more in tune with work-life balance and place a higher value on mental well-being, leisure and other activities outside of work than previous generations.
  • Family: A higher percentage of the professional workforce are mothers. Likewise, men are taking a more active role in child-rearing than previous generations, as younger professionals juggle more domestic responsibilities across the board.
  • The Long Game: Many Generation X and millennial employees have long since conceded that their retirement will likely come much later in life than their elder counterparts. The prospect of working for an extra decade—or more—has tempered the enthusiasm for grinding away during their formative years.

Also relevant/see the following articles:

8 Legal Experts on the Future of the Billable Hour — from artificiallawyer.com

Excerpt:

Are you still billing by the hour? The reality is that most lawyers are and plenty will still be using it in the year 2032. However, many legal experts agree: the billable hour is under pressure, forcing lawyers to investigate other billing methods as well.

Laura Rosseel, Senior Associate at Cambrian, explains clearly why the billable hour is a topic for discussion: ‘There are countless arguments against working with billable hours. Invoicing based on billable hours puts the risk of both unpredictability in the scope of work as well as potential inefficiency on the client, instead of the law firm that is providing the service.

‘It does not differentiate based on the value of the task at hand, the urgency, or the time of day (or night), with which the task is carried out. Additionally, it is a performance metric for lawyers that favours working more over working better, and the relentless pressure is causing junior and mid-level lawyers to leave their firms.’

Digital exhaustion: Redefining work-life balance — from enterprisersproject.com by Irvin Bishop Jr.
Is your team suffering from the digital exhaustion that so often comes with remote and hybrid work? Consider these strategies to ease the stress

As workers continue to create and collaborate in digital spaces, one of the best things we can do as leaders is to let go. Let go of preconceived schedules, of always knowing what someone is working on, of dictating when and how a project should be accomplished – in effect, let go of micromanagement. Instead, focus on hiring productive, competent workers and trust them to do their jobs. Don’t manage tasks – gauge results. Use benchmarks and deadlines to assess effectiveness and success.

What did we learn at the CLOC Conference? — from zachabramowitz.substack.com by Zach Abramowitz
QR Codes, Outside Counsel Startups Make Great Shirts and Standing Out in a Sea of CLM

Some of the tools/products/vendors Zach mentioned were:

 

The Future of Work and the Jobs we might have in 2040 — from futurist.com by Nikolas Badminton & Marianne Powers

Excerpt:

So, let’s set our sights on a future horizon of 2040 and we can wonder what the future of work and the future of jobs for our children may be. The world may feel and look the same but underneath we’ll need people to transition to new careers to support the hyper-fast, data-obsessed world. Let’s take a look at the Future of Work and Jobs in 2040

  • Human-centred Designers and Ethicists
  • Artificial Intelligence Psychologists
  • Metaverse Architects
 

AI research is a dumpster fire and Google’s holding the matches — from thenextweb.com by Tristan Greene
Scientific endeavor is no match for corporate greed

Excerpts:

The world of AI research is in shambles. From the academics prioritizing easy-to-monetize schemes over breaking novel ground, to the Silicon Valley elite using the threat of job loss to encourage corporate-friendly hypotheses, the system is a broken mess.

And Google deserves a lion’s share of the blame.

Google, more than any other company, bears responsibility for the modern AI paradigm. That means we need to give big G full marks for bringing natural language processing and image recognition to the masses.

It also means we can credit Google with creating the researcher-eat-researcher environment that has some college students and their big-tech-partnered professors treating research papers as little more than bait for venture capitalists and corporate headhunters.

But the system’s set up to encourage the monetization of algorithms first, and to further the field second. In order for this to change, big tech and academia both need to commit to wholesale reform in how research is presented and reviewed.

Also relevant/see:

Every month Essentials publish an Industry Trend Report on AI in general and the following related topics:

  • AI Research
  • AI Applied Use Cases
  • AI Ethics
  • AI Robotics
  • AI Marketing
  • AI Cybersecurity
  • AI Healthcare

It’s never too early to get your AI ethics right — from protocol.com by Veronica Irwin
The Ethical AI Governance Group wants to give startups a framework for avoiding scandals and blunders while deploying new technology.

Excerpt:

To solve this problem, a group of consultants, venture capitalists and executives in AI created the Ethical AI Governance Group last September. In March, it went public, and published a survey-style “continuum” for investors to use in advising the startups in their portfolio.

The continuum conveys clear guidance for startups at various growth stages, recommending that startups have people in charge of AI governance and data privacy strategy, for example. EAIGG leadership argues that using the continuum will protect VC portfolios from value-destroying scandals.

 

From DSC:
For the last few years, I’ve been thinking that we need to make learning science-related information more accessible to students, teachers, professors, trainers, and employees — no matter what level they are at.

One idea on how to do this — besides putting posters up in the hallways, libraries, classrooms, conference rooms, cafeterias, etc. — is that we could put a How best to study/learn link in all of the global navigation bars and/or course navigation bars out there in organizations’ course management systems and learning management systems. Learners of all ages could have 24 x 7 x 365, easy, instant access as to how to be more productive as they study and learn about new things.

For example, they could select that link in their CMS/LMS to access information on:

  • Retrieval practice
  • Spacing
  • Interleaving
  • Metacognition
  • Elaboration
  • The Growth Mindset
  • Accessibility-related tools / assistive technologies
  • Links to further resources re: learning science and learning theories

What do you think? If we started this in K12, kept it up in higher ed and vocational programs, and took the idea into the corporate world, valuable information could be relayed and absorbed. This is the kind of information that is highly beneficial these days — as all of us need to be lifelong learners now.

 

Coursera launches skills training academy for colleges and companies — from highereddive.com by Natalie Schwartz
Experts say the move could help the company strengthen its focus on selling courses to colleges rather than consumers.

Excerpts:

Coursera, like other popular MOOC platforms, has made its name by bringing online classes to the masses. But lately, the company has been expanding efforts to provide these offerings to colleges and employers rather than solely to consumers.

The company doubled down on that strategy Wednesday, when it announced the launch of a career training academy that enables users to earn entry-level certificates from companies like Meta and IBM in fields such as data analytics, social media marketing and user experience design. Institutions — including colleges, businesses and government organizations — can sign up to make the platform available to their students or employees.

The move signals a shift in strategy for the company. While Coursera is still focused on delivering courses directly to consumers, it’s also been building out its offerings to colleges and employers. This business segment includes Coursera for Campus, which allows colleges to use the platform’s content in their classes. 


From DSC:
For those who think MOOCs have come and gone:

Coursera has been using academic content created by universities for years to build its audience, amassing some 97 million users by the end of last year, according to its latest earnings report. 


Addendum on 5/11/22:

 
 

12 examples of artificial intelligence in everyday life — from itproportal.com by Christopher Oldman

Excerpt:

4. Plagiarism
The college students’ (or is it professor’s?) nightmare. Whether you are a content manager or a teacher grading essays, you have the same problem – the internet makes plagiarism easier.

There is a nigh unlimited amount of information and data out there, and less-than-scrupulous students and employees will readily take advantage of that.

Indeed, no human could compare and contrast somebody’s essay with all the data out there. AIs are a whole different beast.

They can sift through an insane amount of information, compare it with the relevant text, and see if there is a match or not.

Furthermore, thanks to advancement and growth in this area, some tools can actually check sources in foreign languages, as well as images and audio.

Intel calls its AI that detects student emotions a teaching tool. Others call it ‘morally reprehensible.’ — from protocol.com by Kate Kaye
Virtual school software startup Classroom Technologies will test the controversial “emotion AI” technology.

Excerpts:

But Intel and Classroom Technologies, which sells virtual school software called Class, think there might be a better way. The companies have partnered to integrate an AI-based technology developed by Intel with Class, which runs on top of Zoom. Intel claims its system can detect whether students are bored, distracted or confused by assessing their facial expressions and how they’re interacting with educational content.

But critics argue that it is not possible to accurately determine whether someone is feeling bored, confused, happy or sad based on their facial expressions or other external signals.

The classroom is just one arena where controversial “emotion AI” is finding its way into everyday tech products and generating investor interest. It’s also seeping into delivery and passenger vehicles and virtual sales and customer service software.

MIT’s FutureMakers programs help kids get their minds around — and hands on — AI — from news.mit.edu by Kim Patch
The programs are designed to foster an understanding of how artificial intelligence technologies work, including their social implications.

Excerpt:

During one-week, themed FutureMakers Workshops organized around key topics related to AI, students learn how AI technologies work, including social implications, then build something that uses AI.

“AI is shaping our behaviors, it’s shaping the way we think, it’s shaping the way we learn, and a lot of people aren’t even aware of that,” says Breazeal. “People now need to be AI literate given how AI is rapidly changing digital literacy and digital citizenship.”

AI can now kill those annoying cookie pop-ups — from thenextweb.com by Thomas Macaulay
The notifications have been put on notice

Excerpt:

After years of suffering this digital torture, a new AI tool has finally offered hope of an escape.

Named CookieEnforcer, the system was created by researchers from Google and the University of Wisconsin-Madison.

The system was created to stop cookies from manipulating people into making website-friendly choices that put their privacy at risk. Yet it could also end the constant hassle of navigating the notices.

Using machine learning to improve student success in higher education — from mckinsey.com
Deploying machine learning and advanced analytics thoughtfully and to their full potential may support improvements in student access, success, and the overall student experience.

Excerpt:

Yet higher education is still in the early stages of data capability building. With universities facing many challenges (such as financial pressures, the demographic cliff, and an uptick in student mental-health issues) and a variety of opportunities (including reaching adult learners and scaling online learning), expanding use of advanced analytics and machine learning may prove beneficial.

Below, we share some of the most promising use cases for advanced analytics in higher education to show how universities are capitalizing on those opportunities to overcome current challenges, both enabling access for many more students and improving the student experience.

Artificial intelligence (AI): 7 roles to prioritize now — from enterprisersproject.com by Marc Lewis
Which artificial intelligence (AI) jobs are hottest now? Consider these seven AI/ML roles to prioritize in your organization

Excerpt:

Rather than a Great Resignation, this would suggest a Great Reallocation of the workforce. As a global search consultant, we are seeing this precipitous shift in positions, with great demand for skills in artificial intelligence and machine learning (AI/ML).

With that in mind, here are seven artificial intelligence (AI)-related roles to consider prioritizing right now as the workforce reallocates talent to new jobs that drive economic value for leading companies…

4 ways AI will be a great teaching assistant — from thetechedvocate.org by Matthew Lynch

 

The rise of alternative credentials in hiring — from shrm.org; with thanks to Ryan Craig for this resource
Increasingly, U.S. workers are turning to alternative credentials as a way to enhance and demonstrate skills and work readiness. But can certifications, badges and apprenticeships stand in for traditional education and work experience when seeking a new job?

Excerpts:

Alternative credentials can be defined as any microcredential, industry or professional certification, acknowledgment of apprenticeship (registered or nonregistered), or badging that indicates one’s competencies and skills within a particular field. Alternative credentials do not include traditional academic degrees or required occupational licensures.

However, one potential barrier to employers’ wider recognition of alternative credentials is actually a technical one. Automated applicant tracking systems (ATS) frequently don’t pick up on them, because often there is still no standard approach to collecting this information as systems do for traditional education and work experience. Only one-third of HR professionals whose organizations use automated prescreening say this prescreening even recognizes alternative credentials. Such inconsistency offers a clear direction for both HR and the providers of applicant screening tools to improve the ways alternative credentials are captured in the application process.

 

New portal connects employers with neurodivergent job seekers — from protocol.com by Sarah Roach
Google, Dell and others are contributing to the Neurodiversity Career Connector.

Excerpt:

Microsoft, Google, Dell and a handful of other tech companies are helping to roll out a career portal for neurodivergent job seekers.

The Neurodiversity @ Work Employer Roundtable and Disability:IN introduced the Neurodiversity Career Connector, a platform for neurodivergent job candidates to find employers, the organizations announced today. Almost 50 companies that are part of the Roundtable, including Ford and SAP, are contributing to the portal.

 

Why One University Is Moving Toward a Subscription Model — a podcast from edsurge.com by Jeffrey R. Young

Excerpts:

One big theme in education-innovation circles is that the professional world is changing faster than ever, and so schools and colleges must adjust how they teach to meet those needs.

One college in St. Louis, Maryville University, is embracing that argument in a big way by revamping its curriculum and even changing its business model to include options like a subscription model—with the goal of helping its students get good jobs after graduation.

“By the end of this decade or before, students should pay for higher ed the way they pay for Netflix or their cell phone bill,” Lombardi says.

From DSC:
I thought this was an interesting conversation and I agreed with much of what Mark Lombardi, President of Maryville University, had to say. 

I appreciated Jeff’s attempts at trying to get Mark to hear that “learning styles” aren’t supported by the research. I wish Mark would have used the word “preferences” instead…as I do think learners have preferences when it comes to them learning about new topics.

 

 

Hot Economy, Rising Inflation: The Fed Has Never Successfully Fixed a Problem Like This — from wsj.com on 4/18/22 by Jon Hilsenrath and Nick Timiraos; behind a paywall
Central bank says it is possible, but many factors are out of its control; ‘they are strikingly behind’

Excerpt:

The Federal Reserve is setting out to do something it has never accomplished before: reduce inflation a lot without significantly raising unemployment.

Nasdaq slides 2%, Dow falls more than 350 points in sharp reversal as rising rates weigh on stocks — from cnbc.com on 4/20/22 by Fred Imbert Tanaya Macheel Hannah Miao

Excerpt:

The 10-year started the year near 1.5% and has shot up as the Federal Reserve tightens monetary policy to get a hold of soaring prices in the U.S.

“Although we expect inflation to peak very soon, if it hasn’t already done so, continued supply chain disruptions and a slow increase in labor force participation due to retirements and continued concerns over Covid, could easily keep the inflation rate more than double the Fed’s 2% target,” wrote Joseph Kalish, chief global macro strategist at Ned Davis Research.

 

“Unpaid internships should be illegal:” Why colleges should reconsider unpaid internships. — from newamerica.org by Mauriell H. Amechi and Iris Palmer; with thanks to Goldie Blumenstyk for this resource

Excerpts:

College leaders must do more to facilitate access to paid work experience, especially for historically underserved, low-income, and racially minoritized student populations.

  • Require all internships offered through career services to be paid. The inequitable practice of not paying interns makes such opportunities impossible to access for many students. Colleges should require that internships they offer be paid for by the employer or through matching funds from the college. Paying interns for their time is the right thing to do and the best way to start creating access for all students.
  • Maintain some on-campus internship opportunities to ease transportation and care needs and offer on-campus care.
  • Provide shuttles, transit passes, or travel stipends to internship sites.
  • Consider working with employers to make internships renewable across semesters.
  • Consider student populations that are typically excluded from internships.
  • Document what works to create sustainable funding streams.
 

We need to use more tools — that go beyond screen sharing — where we can collaborate regardless of where we’re at. [Christian]

From DSC:
Seeing the functionality in Freehand — it makes me once again think that we need to use more tools where faculty/staff/students can collaborate with each other REGARDLESS of where they’re coming in to partake in a learning experience (i.e., remotely or physically/locally). This is also true for trainers and employees, teachers and students, as well as in virtual tutoring types of situations. We need tools that offer functionalities that go beyond screen sharing in order to collaborate, design, present, discuss, and create things.  (more…)

 

From DSC:
Hmmm…many colleges and universities keep a close eye on their peers and often respond with similar strategies that their peers are pursuing. But who is an organization’s peer? The Chronicle of Higher Education‘s posting below — “How a College Decides Who Its Peers Are” — stated that “there is clearly no shared definition of what constitutes a peer institution.” 

Plus, I found this item especially interesting:

Harvard University selected only three peer institutions: Yale, Princeton, and Stanford. But 22 institutions, including Bowdoin, named Harvard as a peer. Bowdoin, a small, liberal-arts college with about 1,800 undergraduate students and no graduate programs, chose 98 “peers,” including the entire Ivy League and many large universities, some of which enroll more than 10,000 students. Bowdoin itself was picked by 35 institutions as a peer. All of them were small, liberal-arts colleges or universities that primarily serve undergraduates.

I have often thought that colleges and universities should care far less about what their peers are doing. Rather, they should move forward with their own solid visions, bold actions, and well-thought-through strategies — as there can be a great deal of danger and risk in the status quo.

Too many alternatives have been appearing — and will likely continue to appear — on the lifelong learning landscapes. Most likely, these new organizations will offer in-demand credentials/skills as well as the capabilities of helping people constantly reinvent themselves — with far less expensive price tags associated with these types of offerings.


How a College Decides Who Its Peers Are — from chronicle.com by Susan Poser
Questions of institutional identity are at the core of the process.

Excerpt (emphasis DSC):

The mismatch between whom an institution chose as peers, and the colleges that reciprocated, pervades the data set. It raises the question of how institutions designate peers, which is a mystery. In some cases it is likely to be decided by someone in the Office of Institutional Research or the provost’s office in response to the Ipeds survey, while in others perhaps some process leads to a consensus among administrators. Regardless, there is clearly no shared definition of what constitutes a peer institution.

Also relevant/see:


 

2022 EDUCAUSE Horizon Report | Teaching and Learning Edition

 

2022 EDUCAUSE Horizon Report | Teaching and Learning Edition — from library.educause.edu

Sections include:

  • Trends: Scanning the Horizon
  • Key Technologies & Practices
  • Scenarios
  • Implications: What Do We Do Now?

 Also relevant/see:

 


Also relevant/see:

2022 Educause Horizon Report Suggests Change Is Here to Stay; No Return to ‘Normal’ — from campustechnology.com by Rhea Kelly

Excerpt:

If the COVID-19 pandemic has been a time of unprecedented change in higher education — characterized by rapid pivots to remote work and learning and an explosion in the use of technology across the institution — the future is about reframing those changes into long-term realities, according to the 2022 Educause Horizon Report Teaching and Learning Edition, released this week. Colleges and universities are shifting their mindsets to “reflect an evolution from short-term ’emergency’ or ‘reactive’ modes of offering education during extraordinary circumstances to making strategic and sustainable investments in a future that will be very much unlike our past,” the report suggested.

6 Technologies and Practices Impacting the Future of Higher Education — from campustechnology.com by Rhea Kelly

 
© 2024 | Daniel Christian