Higher Education Needs to Move Toward Mass-Personalization — from fierceeducation.com by Susan Fourtané

Excerpt:

Every industry, from health sciences to marketing to manufacturing, is using Artificial Intelligence (AI) to facilitate the delivery of mass-personalization, yet education has been slow in its adoption. These smart systems create personalized solutions targeted to meet the unique needs of every individual.

Artificial Intelligence-based technologies have the potential of serving as tools for educators to provide personalized learning. However, for mass-personalization to work, institutions first need to align their leadership. In his feature session What Is It Going to Take to Move from Mass-Production to Mass-Personalization?, during the recent Online Learning Consortium virtual event, Dale Johnson, Director of Digital Innovation at Arizona State University, addressed the issue of mass personalization in higher education.

Johnson reinforced the idea that with mass-personalization professors can deliver the right lesson to the right student at the right time.

Mass-personalization software does not replace the professor. It makes the professor better, more focused on the students.

 

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

 

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?

 

Gartner: 4 Key Trends Speeding AI Innovation — from campustechnology.com by Rhea Kelly

Excerpt:

Research firm Gartner has identified four trends that are driving artificial intelligence innovation in the near term. These technologies and approaches will be key to scaling AI initiatives, the company emphasized in a news announcement…

 

In the US, the AI Industry Risks Becoming Winner-Take-Most — from wired.com by Khari Johnson
A new study illustrates just how geographically concentrated AI activity has become.

Excerpt:

A NEW STUDY warns that the American AI industry is highly concentrated in the San Francisco Bay Area and that this could prove to be a weakness in the long run. The Bay leads all other regions of the country in AI research and investment activity, accounting for about one-quarter of AI conference papers, patents, and companies in the US. Bay Area metro areas see levels of AI activity four times higher than other top cities for AI development.

“When you have a high percentage of all AI activity in Bay Area metros, you may be overconcentrating, losing diversity, and getting groupthink in the algorithmic economy. It locks in a winner-take-most dimension to this sector, and that’s where we hope that federal policy will begin to invest in new and different AI clusters in new and different places to provide a balance or counter,” Mark Muro, policy director at the Brookings Institution and the study’s coauthor, told WIRED.

Also relevant/see:

 

“Algorithms are opinions embedded in code.”

 

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.
 
 

Drexel Researchers Will Develop Artificial Intelligence Technologies for Adult Learning and Online Education as Part of $220 Million NSF Initiative — from drexel.edu with thanks to Ray Schroeder for this resource out on LinkedIn

Excerpt:

Researchers in Drexel University’s College of Computing & Informatics, who are studying artificial intelligence as a tool for teaching, have been selected to join a $220 million National Science Foundation initiative to expand the use of AI technology in areas ranging from agriculture and food supply chains to adult and online learning. Drexel’s team will join AI researchers from around the country in an effort to use the technology to make education more accessible for Americans who are adapting to rapidly changing workplaces. The NSF’s Adult Learning & Online Education (ALOE) Institute will be supported by $20 million over five years.

 

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.

 

11 Emerging Business Opportunities In The Internet Of Things Sector — from forbes.com by a panel of Young Entrepreneur Council members

Excerpt (emphasis DSC):

With this increased revenue comes a number of new ways for businesses to leverage IoT technology. Below, a panel of Young Entrepreneur Council members shared some business opportunities they see emerging in the IoT sector. Keep an eye out for these 11 growing trends in the B2B IoT space.

1. Voice-Powered Technologies
With the growing popularity of IoT devices, the interaction of business with customers is also changing. Take for instance Siri, Alexa and Cortana — who are advanced voice technologies — to perform countless searches as the customer orders. This one area of IoT is going to expand gigantically in the future.

 

Top 10 Post-Covid Tech Trends — from forbes.com by Gil Press

Excerpt:

In an online broadcast to a global audience, leading VC firm OurCrowd released [on 7/13/21] a list of what it considers the top tech trends in mid-2021, when global venture capital funding reached an all-time high with more than $288 billion invested worldwide in the first half of this year. “There is no better time to analyze what the tech trends are for the smart investor, and where the technology market is moving,” said Jon Medved, OurCrowd’s founder and CEO, opening the broadcast. And the top 10 tech trends are…

 

Global EdTech Funding 2021 – Half Year Update — from holoniq.com
A record half year in EdTech funding with 568 rounds raising $10B of investment as, ready or not, the world turns to technology to support learning and education delivery.

Global EdTech Funding 2021 - Half Year Update -- from HolonIQ.com

 

The Future of Social Media: Re-Humanisation and Regulation — by Gerd Leonhard

How could social media become ‘human’ again? How can we stop the disinformation, dehumanisation and dataism that has resulted from social media’s algorithmic obsessions? I foresee that the EXTERNALTIES i.e. the consequences of unmitigated growth of exponential digital technologies will become just as big as the consequences of climate change. In fact, today, the social media industry already has quite a few parallels to the oil, gas and coal business: while private make huge profits from extracting the ‘oil’ (i.e. user data), the external damage is left to society and governments to fix. This needs to change! In this keynote I make some precise suggestions as to how that could happen.

Some snapshots/excerpts:

The future of social media -- a video by Gerd Leonhard in the summer of 2021

 

 

 

 


From DSC:
Gerd brings up some solid points here. His presentation and perspectives are not only worth checking out, but they’re worth some time for us to seriously reflect on what he’s saying.

What kind of future do we want?

And for you professors, teachers, instructional designers, trainers, and presenters out there, check out *how* he delivers the content. It’s well done and very engaging.


 

10 AI tech trends data scientists should know — from by Lisa Morgan
The rising environmental and monetary costs of deep learning are catching enterprises’ attention, as are new AI techniques like graph neural networks and contrastive learning.

Excerpt:

AI adoption is accelerating across industries, driven by a combination of concrete results, high expectations and a lot of money. Among the many new AI concepts and techniques launching almost daily, 10 AI tech trends in particular grab data scientists’ attention.

 

6 Emerging Technology Trends in Higher Education — from edtechmagazine.com by Amelia Pang
From artificial intelligence to microcredentials, here’s a look at the future.

Excerpts:

1. The Growth of Artificial Intelligence in Higher Ed
2. Actualizing the Potential of Data Analytics to Improve Education
3. A Permanent Place for Blended and Hybrid Course Models
4. The Expansion of Open Educational Resources
5. Microcredentials Provide Business Opportunities for Higher Ed
6. More Investments in Quality Online Learning

 
© 2021 | Daniel Christian