Resource via @ernperez
at this article/page.

From DSC:

Cloud-based learner profiles are a likely element of our future learning ecosystems

 

14 Predictions for Higher Education in 2022 [Schaffhauser]

14 Predictions for Higher Education in 2022

14 Predictions for Higher Education in 2022 — from campustechnology.com by Dian Schaffhauser

Excerpt:

Ask people working in higher education what they expect will happen in the new year, and the outlook is filled with visions that build on what we’ve been experiencing on college and university campuses for the last two years: a major focus on learning formats; continued exploitation of new technology; and the use of new digital models that move users “beyond Zoom.” Here we present the collective predictions of 14 IT leaders, instructional folks and a student about what they anticipate seeing in 2022. As one put it, “Let’s go, 2022! We have work to do!”

From DSC:
I’d like to thank Dian Schaffhauser, Rhea Kelly, and Mary Grush for letting me contribute some thoughts to the various conversations that Campus Technology Magazine hosts and/or initiates. I inserted some reflections into the above article and I hope that you’ll take a moment to read my and others’ thoughts out there.

 
 

From DSC:
As I looked at the article below, I couldn’t help but wonder…what is the role of the American Bar Association (ABA) in this type situation? How can the ABA help the United States deal with the impact/place of emerging technologies?


Clearview AI will get a US patent for its facial recognition tech — from engadget.com by J. Fingas
Critics are worried the company is patenting invasive tech.

Excerpt:

Clearview AI is about to get formal acknowledgment for its controversial facial recognition technology. Politico reports Clearview has received a US Patent and Trademark Office “notice of allowance” indicating officials will approve a filing for its system, which scans faces across public internet data to find people from government lists and security camera footage. The company just has to pay administrative fees to secure the patent.

In a Politico interview, Clearview founder Hoan Ton-That claimed this was the first facial recognition patent involving “large-scale internet data.” The firm sells its tool to government clients (including law enforcement) hoping to accelerate searches.

As you might imagine, there’s a concern the USPTO is effectively blessing Clearview’s technology and giving the company a chance to grow despite widespread objections to its technology’s very existence. 

Privacy, news, facial recognition, USPTO, internet, patent,
Clearview AI, surveillance, tomorrow, AI, artificial intelligence

 

Top 7 Artificial Intelligence Trends In 2022 — from techfunnel.com by Anirudh Menon

Excerpt:

If we look at the last couple of years, we have seen a significant leap in the way Artificial Intelligence is becoming an integral part of many organizations’ business plans. Already the journey of digital transformation has catapulted thanks to Machine Learning and Artificial Intelligence and because of the pandemic situation, we saw significant innovation in the technology front, which will reach new heights in the year 2022 and further.

As strongly claimed by Sundar Pichai, CEO of Google Inc, the impact of artificial intelligence will be far greater than fire and electricity on humanity. Well, it might sound a bit exaggerated but what it implies is that the year 2022 is going to see new developments in this space and it will constantly create new benchmarks.

 
 
 

 

AI+ alumni + real-world practitioners + accreditation agencies = outcomes for next year -- by Daniel S. Christian

 

AI+ alumni + real-world practitioners + accreditation agencies = outcomes for next year -- by Daniel S. Christian

 

Learning from the living class room

 

Defining the skills citizens will need in the future world of work — from McKinsey & Company; with thanks to Ryan Craig for this resource

Excerpts:

Our findings help define the particular skills citizens are likely to require in the future world of work and suggest how proficiency in them can influence work-related outcomes, namely employment, income, and job satisfaction. This, in turn, suggests three actions governments may wish to take.

  1. Reform education systems
  2. Reform adult-training systems
  3. Ensure affordability of lifelong education

Establish an AI aggregator of training programs to attract adult learners and encourage lifelong learning. AI algorithms could guide users on whether they need to upskill or reskill for a new profession and shortlist relevant training programs. 

Foundational skills that will help citizens thrive in the future of work


From DSC:
No one will have all 56 skills that McKinsey recommends here. So (HR) managers, please don’t load up your job postings with every single skill listed here. The search for purple unicorns can get tiring, old, and discouraging for those who are looking for work.

That said, much of what McKinsey’s research/data shows — and what their recommendations are — resonates with me. And that’s why I keep adding to the developments out at:

Learning from the living class room

A powerful, global, next-generation learning platform — meant to help people reinvent themselves quickly, safely, cost-effectively, conveniently, & consistently!!!

 

Graphic of digital audio for the article entitled An Edtech User’s Glossary to Speech Recognition and AI in the Classroom

An Edtech User’s Glossary to Speech Recognition and AI in the Classroom — from edsurge.com by Thomas C. Murray

Per Thomas Murray:

Recently, I collaborated with SoapBox Labs’ Amelia Kelly, the vice president of speech technology there, to create a glossary to help educators and edtech developers better familiarize themselves with speech recognition and make informed decisions about its use in educational settings. Below are some of the key terms that are particularly important, along with an explanation for why those terms matter.

 

 

Personalized Learning Using AI — from datafloq.com by Dmitry Baraishuk

Excerpt:

Process of Implementing Personalized Learning Using AI

  • The system tested every learner using short quizzes and games. Then AI adapted the learning path to each learner’s knowledge of a topic based on the test results.
  • If a pilot struggled with a certain topic, the AI LMS repeated it by presenting the information in a new way.
  • After completing a section, every pilot was retested and progressed to the next module.

Personalized learning with AI encompasses all the core aspects of online training:

  • personalized learning path;
  • relevant content based on knowledge level, skills, interests, and goals;
  • automated knowledge checks;
  • prediction of knowledge gaps;
  • proactive learners’ support;
  • tutoring, etc.
 

There’s a New Wave of AI Research Coming to Transform Education — from edsurge.com by Nadia Tamez-Robledo

Preparing for Students’ Second Act
With a focus on adult learners, the AI Institute for Adult Learning and Online Education, or ALOE, will look to improve online education for the more than 100 million American workers who will need to “reskill” over the next 10 years.

It will also learn from the massive amounts of data generated by online students that isn’t accessible in traditional in-person classes.

 
© 2021 | Daniel Christian