AI Conversations: Enabling Smarter, More Efficient Healthcare — from cio.com

Excerpt:

Healthcare providers face a wide range of critical challenges in delivering quality healthcare while containing rising costs. Many forward-looking providers are using artificial intelligence to streamline workflows, improve diagnostics, personalize medicine and reduce the length of hospital stays.

 

The pandemic pushed universities online. The change was long overdue. — from hbr-org.cdn.ampproject.org by Sean Gallagher and Jason Palmer; with thanks to Mike Mathews for his posting on LinkedIn re: this item

Excerpt:

A number of elite institutions — such as Princeton University, Williams College, Spelman College, and American University — have substantially discounted tuition for their fully online experience in an historically unprecedented fashion, highlighting pricing pressures and opening up Pandora’s box. This comes after a decade of growth in postsecondary alternatives, including “massively open online courses” (MOOCs), industry-driven certification programs, and coding bootcamps.

This moment is likely to be remembered as a critical turning point between the “time before,” when analog on-campus degree-focused learning was the default, to the “time after,” when digital, online, career-focused learning became the fulcrum of competition between institutions.

 

Radar trends to watch: October 2020 — from oreilly.com

Excerpt:

This month, the big surprise is that there’s no significant technology news about COVID. And there is more news than ever about legislation and regulation. I suspect that the legal system will be a big driver for technology over the next year. Another trend that doesn’t quite count as technology news but that definitely bears watching is that college enrollment in the US is down. Grad schools are up, 4 year colleges are down slightly; the big hit is in 2 year colleges. COVID is probably the biggest contributing factor, but regardless of the cause, this is an inauspicious trend.

 

 

From DSC:
Along these lines…

Sometimes, I think we need to be very careful with Artificial Intelligence (#AI) — which elements of it and which applications of it that we use in our society and which we don’t move forward with. But in the case of cloud-based learning profiles (some might say competency profiles), AI makes sense. Algorithms could make sense. Data mining could make sense.

A cloud-based learning profile might not make sense always to us — as it could be very large indeed. But AI-based algorithms could assist with finding appropriate matches between jobs, competencies, passions, skills, and candidates.

Such services will likely be part of a next-gen learning platform.

 

DC: You want to talk about learning ecosystems?!!? Check out the scopes included in this landscape from HolonIQ!

You want to talk about learning ecosystems?!!? Check this landscape out from HolonIQ!

Also see:

Education in 2030 -- a $10T market -- from HolonIQ.com

From DSC:
If this isn’t mind-blowing, I don’t know what is! Some serious morphing lies ahead of us!

 

Artificial Intelligence for Learning: How to use AI to Support Employee Development [Donald Clark]

So what is the book about? — from donaldclarkplanb.blogspot.com by Donald Clark; which discusses his book entitled, Artificial Intelligence for Learning: How to use AI to Support Employee Development

Excerpt:

AI changes everything. It changes how we work, shop, travel, entertain ourselves, socialize, deal with finance and healthcare. When online, AI mediates almost everything – Google, Google Scholar, YouTube, Facebook, Twitter, Instagram, TikTok, Amazon, Netflix. It would be bizarre to imagine that AI will have no role to play in learning – it already has.

Both informally and formally, AI is now embedded in many of the tools real learners use for online learning – we search for knowledge using AI (Google, Google Scholar), we search for practical knowledge using AI (YouTube), Duolingo for languages, and CPD is becoming common on social media, almost all mediated by AI. It is everywhere, just largely invisible. This book is partly about the role of AI in informal learning but it is largely about its existing and potential role in formal learning – in schools, Universities and the workplace. AI changes the world, so it changes why we learn, what we learn and how we learn.

Also see:

  • Abandon lectures: increase attendance, attitudes and attainment — from donaldclarkplanb.blogspot.com by Donald Clark
    Excerpt:
    The groups were taught a module in a physics course, in three one hour sessions in one week. In short; attendance increased, measured attitudes were better (students enjoyed the experience (90%) and thought that the whole course would be better if taught this way (77%)). More importantly students in the experimental group outperformed the control group, doing more than twice as well in assessment than the control group.
 

Artificial Intelligence (AI) for beginners  — from enterprisersproject.com by Stephanie Overby
Artificial intelligence can seem daunting as you start work. Let’s break down how AI works, common types of AI, how it improves big data insights, and strategy essentials.

Excerpt:

“The use of AI and machine learning (ML) is occurring in a wide range of solutions and applications, from ERP and manufacturing software to content management, collaboration, and user productivity. Artificial intelligence and machine learning are top of mind for most organizations today,” David Schubmehl, research director of Cognitive/Artificial Intelligence Systems at IDC said in conjunction with the guide, noting that AI will be the disrupting influence reshaping entire industries over the next decade.

It’s clear that AI will be on everyone’s roadmap soon. As Enterprisers Project noted in our Harvard Business Review Analytic Services report, An Executive’s Guide to Real-World AI, “Hype in tech is nothing new. What’s different this time is the degree to which reasonable and knowledgeable people believe that there is, indeed, a real urgency to get going with AI now.”

Addendum on 8/28/90

 
 

What should schools, colleges and Universities do in September? …7 actions — from donaldclarkplanb.blogspot.com by Donald Clark

Excerpts:

Let me start with a tough question. Weighing your wish to return to schools or campuses, given the current surge of Covid cases, is the return to the classroom or chasing the cash worth a single dead student, teacher or parent? Or should we see the September return as an opportunity to change things for the better and by that I mean for teachers, lecturers, students and parents? We need a reset.

Necessity is the mother of invention. I hope that this human tragedy allows us to transform the learning landscape to be better and more inclusive through Blended Learning. We have an opportunity to use contemporary technology to reduce teacher workload and improve learning at the same time.

 

 

“Existing meeting interfaces had been designed with a singular goal, to simply enable virtual conversations. How could we build a meeting interface from the ground-up that intentionally facilitates engaging, productive, and inclusive conversations?”

 

What will tools like Macro.io bring to the online-based learning table?!

 

‘No college degree required’: Google expands certificate program for in-demand job skills — from fastcompany.com by Lydia Dishman

Excerpt:

Google just announced that it is expanding its skills certification program to help more people land high-paying tech jobs without a college degree.

The Grow with Google Career Certificates will be available soon for in-demand jobs including Data Analyst, Project Manager, and UX designer. These jobs pay between $60,000 and $90,000, on average.

From DSC:
Does this get at what Professor Scott Galloway was talking about yesterday at the Remote Conference? That is, that Big Tech is coming for healthcare and education. Could be. 

Also see:

  • Google to launch 3 more tech certificates on Coursera — from educationdive.com by Natalie Schwartz
    Excerpt:
    The certificates — which will be in data analytics, project management and user experience design — will cost $49 a month and take three to six months to complete. Google will fund 100,000 need-based scholarships for those who take them.
 

From DSC:
For current and/or future data scientists out there.

Guides on how to ace your next data science interview

Required Skills
The data analyst position at Amazon requires specialization in knowledge and experience. Therefore, Amazon only hires highly qualified candidates with at least 3 years of industry experience working with data analysis, data modelling, advanced business analytics, and other related fields.

Other basic qualifications include:

  • Bachelor’s or Masters (PhD prefered) in Finance, Business, Economics, Engineering, math, statistics, computer science, Operation Research, or related fields.
  • Experience with scripting, querying, and data warehouse tools, such as Linux, R, SAS, and/or SQL
  • Extensive experience in programming languages like Python, R,  or Java.
  • Experience with querying relational databases (SQL) and hands-on experience with processing, optimization, and analysis of large data set.
  • Proficiency with Microsoft Excel, Macros and Access.
  • Experience in identifying metrics and KPIs, gathering data, experimentation, and presenting decks, dashboards, and scorecards.
  • Experience with business intelligence and automated self-service reporting tools such as Tableau, Quicksight, Microsoft Power BI, or Cognos.
  • Experience with AWS services such as RDS, SQS, or Lambda.
 

This unique free event is designed to give our learning community a chance to explore the most popular topics discussed at Learning Technologies.

The 2020 Learning Technologies Summer Forum (#LTSF20) takes place online, looking at some of the key topics we examined at February’s conference. Once again, the Summer event is an opportunity to interact, experiment and try some new things together.

 

Acts of meaning: How AI-based interviewing will transform career preparation in higher education — from er.educause.edu by Alan Jones, Suzan Harkness and Nathan Mondragon

Excerpt:

Machines parrot and correlate information. They do not comprehend or synthesize information the way humans do. Factors such as accents in pronunciation, word ambiguity (especially if a word has multiple meanings), deeply coded biases, limited association data sets, narrow and limited network layers used in job screening, and static translations will continue to provide valid ground for caution in placing too much weight or attributing too much confidence in AI in its present form. Nonetheless, AI has crept into job candidate screening, the medical field, business analytics, higher education, and social media. What is currently essential is establishing an understanding of how best to harness and shape the use of AI to ensure it is equitable, valid, and reliable and to understand the shifting paradigm that professional career counselors play on campus as AI becomes more ubiquitous.

There appear to be three points worth considering: the AI interview in general, the predominance of word choice, and expressiveness as read by facial coding.

From DSC:
Until there is a lot more diversity within the fields of computer science and data science, I’m not as hopeful that biases can be rooted out. My niece, who worked for Microsoft for many years, finally left the company. She was tired of fighting the culture there. The large tech companies will need to do a lot better if AI is going to make FAIR and JUST inroads.

Plus, consider how many biases there are!

 

Dawn of the Age of Digital Learning [Moe & Rajendran]

Dawn of the Age of Digital Learning — from medium.com by Michael Moe and Vignesh Rajendran
An Acceleration of Trends That Have Been Building for Years

Excerpts:

Some of these new online learners will sink. Some will crawl out of the pool and never go back in. But we believe most will get the hang of it, like it, and will no longer be confined to the shore. Effectively, the genie is not going back in the bottle… digital learning has come of age. We have a B.C. (Before Coronavirus) world transitioning to A.D. (After Disease).

The Coronavirus has brought forth the Dawn of the Age of Digital Learning — a time for builders to create the platforms, tools, and technology to propel society forward.

We now believe Digital Learning will reach 11% of the education market by 2026, representing a ~$1 Trillion market and a 30% CAGR, close to double the rate of growth projected in Before Covid-19

 

From DSC:
So many of the things in this article reminded me of the things, developments, trends, needs, and possibilities that I have been tracking for years in this vision of a next-generation, global learning platform that I have entitled:

We need a next gen learning platform -- I call this vision Learning from the Living Class Room

My guess is that the large, primarily online institutions/organizations will come out of this ordeal in much better shape than the majority of the traditional institutions of higher education. It won’t matter what faculty members at liberal arts institutions think about online learning. And as much as some faculty members won’t like to see or hear about it, students will no longer need for such faculty members to be sold on it. Students will come to realize that it was under those faculty members watch that their own enormous gorillas of debt were created. And they are beginning to witness and hear that it’s taking (or will take) older family members decades to pay down their debt.

So, I think that the market will decide the fate of many traditional institutions of higher education. Lifelong learners will vote with their feet — and fingers actually, by typing in a new URL — and simply move to the SNHU’s, ASU’s, UMass Online’s, WGU’s, and Liberty University’s of the world. After 5-10 years of investments in online learning, there will likely be some pretty amazing learning experiences out there.

 
© 2024 | Daniel Christian