On 10/18/2021,
in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning, career development, Daniel S. Christian, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, platforms, productivity / tips and tricks, professional development, UK, workplace,
by Daniel Christian
jobtensor.com/uk <– an AI job board from the UK — with thanks to Dr. Jakob Sidoruk for this resource.
From DSC:
Jakob mentioned that Jobtensor has built a tool for jobs in tech, science and engineering and that the goal of this tool is to make job searches more fun and efficient for job seekers. I’m glad to see this from the other side of the table. That is, there have been plenty Applicant Tracking Systems (ATSs) out there that have essentially weeded people out time and again — while making many job searches long, expensive, and emotionally draining.
From DSC:
It is exactly this kind of tool that could — and should — be integrated into a next-generation learning platform. Have an AI-enabled system of identifying the most current needs out in the workplace. Provide a mechanism/listing of those needs along with the existing courses, streams of content, podcasts, and more that could help someone learn those skills.
On 10/15/2021,
in Africa, Australia, business, Canada, change, corporate / business world, Daniel S. Christian, economics, emerging technologies, entrepreneurship, Europe, experimentation, future, future of legal industry, game-changing environment, global / globalization, India, innovation, law schools, legislatures / government / legal, marketplaces, Michigan, platforms, policy, society, trends, UK, United States, vendors, vision/possibilities,
by Daniel Christian
From DSC:
The articles below made me wonder…what will lawyers, judges, and legislators need to know about Bitcoin, Ethereum, and other cryptocurrencies? (#EmergingTechnologies)
- Bitcoin Is Boosting Cryptocurrency Firms’ Market Cap, Leaving Apple In the Dust — from interestingengineering.com by Ameya Paleja
Money is changing. - Bitcoin: Who owns it, who mines it, who’s breaking the law — from mitsloan.mit.edu by Betsy Vereckey
On 10/12/2021,
in 21st century, 24x7x365 access, Access to Justice (A2J), Daniel S. Christian, entrepreneurship, experimentation, ideas, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal,
by Daniel Christian
***
On 10/06/2021,
in 21st century, 24x7x365 access, accreditation, adjunct faculty, adult learning, algorithms, analytics, Artificial Intelligence / Machine Learning / Deep Learning, assessment, Canvas - and other Instructure-related items, career development, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communications, communities of practice, community colleges, competency-based learning/education, content development, corporate / business world, corporate universities / corporate training, credentialing, curriculum, Daniel S. Christian, data mining, emerging technologies, entrepreneurship, experimentation, faculty, future, future of higher education, future of legal industry, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, law schools, leadership, learning, learning ecosystem, Learning from the Living [Class] Room, Legal operations, legislatures / government / legal, lifelong learning, Michigan, New "Amazon.com" of Higher Education, new business models, online learning, platforms, professional development, reinvent, smart/connected TV, society, surviving, technologies for your home, tools, training / L&D, United States, universities, vision/possibilities, vocational / trades,
by Daniel Christian
On 09/28/2021,
in adjunct faculty, collaboration, colleges, communities of practice, community colleges, content development, corporate universities / corporate training, Daniel S. Christian, digital learning, distance education, faculty, higher education, instructional design, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning theories, online learning, online tutoring, participation, pedagogy, productivity / tips and tricks, remote teaching and learning, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online,
by Daniel Christian
From DSC:
For IDs, trainers, teachers, faculty members, & teams who are working on creating and delivering online-based learning……the following article is a good one for us to check out and reflect upon:
Most Online Courses Are a Waste of Your Time — Here’s How You Know — from medium.com by Eva Keiffenheim
A quick guide that helps you find the worthy ones.
Excerpts:
Not all learning investments are created equal. People who’ve excelled at their craft are often not the best teachers. Likewise, creators who write the best sales copy don’t offer the most value.
Here’s precisely how you can spot bad online courses so that you won’t waste your time and money.
…
On 09/28/2021,
in 21st century, 24x7x365 access, algorithms, Amazon, Artificial Intelligence / Machine Learning / Deep Learning, collaboration, content aggregration, content development, content repositories, Daniel S. Christian, disruption, education technology, emerging technologies, expectations, experimentation, innovation, instructional design, K-12 related, learning, learning ecosystem, Learning from the Living [Class] Room, platforms, teachers, tools, United States, vendors, youth,
by Daniel Christian
Discovery Education Collaborates with AWS to Enhance Recommendation Engine — from discoveryeducation.com
Excerpt:
SILVER SPRING, MD [On Monday,?September 27, 2021] — Discovery Education—a worldwide edtech leader supporting learning wherever it takes place — announced that it has enhanced its K-12 learning platform with Amazon Web Services (AWS) machine learning capabilities. The pioneering use of machine learning within the Discovery Education platform helps educators spend less time searching for digital resources and more time teaching.
…
Several months of planning and deep collaboration with AWS enabled Discovery Education to innovatively integrate Amazon Personalize technology into the “Just For You” area of its K-12 platform. The “Just For You” row connects educators to a unique, personalized set of resources based on the grade level taught, preferences, and assets used in the past.
“For some time, educators have desired more resources to help personalize teaching and learning. ML technology is already being used to curate our entertainment experiences, help with workforce productivity, and more, and it’s exciting to see this innovation is being integrated into classrooms,” said Alec Chalmers, Director, EdTech and GovTech Markets at AWS.
From DSC:
It looks like Amazon continues to make inroads into the education space. Team up this type of recommendation engine with an AI that’s pulling the latest skills that are needed for — and embedded within — job descriptions and you have a learning powerhouse.
Disruption ahead…?
Also see:
- How Machine Learning Is Having an Impact on Education — from techlearning.com by Erik Ofgang
Discovery Education has partnered with Amazon Web Services to enhance its platform with machine learning. It’s one of many ways machine learning is being used in K-12 today.
On 09/24/2021,
in Adobe, art, colleges, community colleges, content aggregration, content repositories, creativity, Daniel S. Christian, digital audio, digital learning, digital photography, digital storytelling, digital textbooks, digital video, education, education technology, experimentation, higher education, innovation, K-12 related, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, microlearning, multimedia, New "Amazon.com" of Higher Education, online learning, productivity / tips and tricks, professional development, streams of content, United States, vendors, vision/possibilities, web-based collaboration, webinars,
by Daniel Christian
From DSC:
Also check one of the things that Scott mentioned in his talk — Behance, a network of creatives. They consistently offer livestreams — where the learner has more choice, more control over what they learn about.
Also see:
- “Seeing The Matrix” For Product Builders, Opportunities & More — by Scott Belsky • Issue #14
On 09/24/2021,
in Access to Justice (A2J), change, Daniel S. Christian, future, future of legal industry, game-changing environment, ideas, law schools, legal reform, legal technologies, legislatures / government / legal, policy,
by Daniel Christian
Legal Tech’s Predictions for Legal Technology Innovation in 2022 — from legalreader.com by Smith Johnes
Excerpts:
- By 2024, non-lawyer workers will replace 20% of generalist lawyers in legal departments.
- Legal departments will have automated half of legal work connected to big corporate transactions by 2024.
- Legal departments will triple their investment in legal technology by 2025.
From DSC:
What are the ramifications for law schools and legal departments if these legal tech-related predictions come true?
On 09/24/2021,
in adjunct faculty, adult learning, business side of he, change, changing business models, colleges, consortiums, content aggregration, content development, content repositories, cost of getting a degree, dangers of the status quo, Daniel S. Christian, education technology, future, future of higher education, game-changing environment, higher education, ideas, innovation, instructional design, IT in HE, law schools, leadership, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, liberal arts, lifelong learning, Michigan, MOOCs -- Massive Open Online Courses, New "Amazon.com" of Higher Education, new business models, online learning, organizational change, platforms, reinvent, staying relevant, strategy, surviving, United States, universities,
by Daniel Christian
Surviving Among the Giants — from chronicle.com by Scott Carlson
As growth has become higher ed’s mantra, some colleges seek to stay small.
Excerpts:
The pressures on the higher-education business model are changing those attitudes. The Council of Independent Colleges’ fastest-growing initiative is the Online Course Sharing Consortium, which allows small colleges to offer certain courses to students at other institutions. Currently, there are 2,200 enrollments among almost 6,000 courses on the platform.
“The higher-ed business model is broken,” says Jeffrey R. Docking, who has been president of Adrian College for 16 years. “But where it’s most broken — and the first ones that are going to walk the plank — are the small private institutions. The numbers just don’t work.” Combining some backroom functions or arranging consortial purchases is just “dabbling around the edges” — and won’t get close to driving down the cost of tuition by 30 to 40 percent over the next several years, which is what Docking believes is necessary.
From DSC:
Docking’s last (highlighted) sentence above reminds me of what I predicted back in 2008 when I was working for Calvin College. The vision I relayed in 2008 continues to come to fruition — albeit I’ve since changed the name of the vision.
From DSC (cont’d):
I was trying to bring down the cost of higher education — which we did with Calvin Online for 4-5 years…before the administration, faculty members, and even the leadership within our IT and HR Departments let Calvin Online die on the vine. This was a costly mistake for Calvin, as they later became a university — thus requiring that they get into more online-based learning in order to address the adult learner. Had they supported getting the online-based learning plane off the runway, they could have dovetailed nicely into becoming a university. But instead, they dissed the biggest thing to happen within education in the last 500 years (since the invention of the printing press).
Which brings me to one last excerpted quote here:
“For so many years,” Docking says, “all of these really smart people in Silicon Valley, at the University of Phoenix, at for-profits were saying, We’re going to do it better” — and they came around with their “solutions” in the form of MOOCs, or massive open online courses, and other scaling plans. Small colleges didn’t want to hear it, and, Docking says, maybe it was to their peril.
On 09/20/2021,
in 21st century, algorithms, analytics, Artificial Intelligence / Machine Learning / Deep Learning, Blockchain, business, career development, change, corporate / business world, Daniel S. Christian, data mining, future, technology (general), trends, United States, vision/possibilities, workplace,
by Daniel Christian
How tech will change the way we work by 2030 — from techradar.com by Rob Lamb
Everyday jobs will be augmented by technology
Technologies like Artificial Intelligence (AI), Machine Learning (ML) and Blockchain will have a significant impact on work in the next decade and beyond. But if you believe the sci-fi hype or get bogged down in the technology, it can be difficult to relate them to today’s workplaces and jobs.
Excerpt:
Here are three everyday examples of their potential, expressed in terms of the business challenge they are addressing or how consumers will experience them. I don’t mean to over simplify – these are powerful tools – but I think their potential shines through best when they’re expressed in their simplest terms.
From DSC:
I have an issue with one of their examples that involves positioning AI as the savior of the hiring process:
The problem with this process isn’t just that it’s hugely time-consuming, it’s that all kinds of unconscious biases can creep in, potentially even into the job advert. These issues can be eradicated with the use of AI, which can vet ads for gendered language, sort through applicants and pick out the most suitable ones in a fraction of the time it would take an HR professional or any other human being.
AI can be biased as well — just like humans. Lamb recognizes this as well when he states that “Provided the algorithms are written correctly, AI will be key to organisations addressing issues around diversity and inclusion in the workplace.” But that’s a big IF in my mind. So far, it appears that the track record isn’t great in this area. Also, as Cathy O’Neil asserts: “Algorithms are opinions embedded in code.”
AI may not be as adept as a skilled HR professional in seeing the possibilities for someone. Can person A’s existing skillsets be leveraged in this new/other position?