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!

 

ROSS Chrome Extension For Legal Research — from artificiallawyer.com

Excerpt:

ROSS Intelligence, the legal research pioneer, has launched a free Chrome extension to find case law support for text found anywhere on the web.

In this latest AL TV Product Walk ThroughMaya Bielinski, Head of Product at ROSS, explains how it works and what its capabilities are in this 8-minute overview.

As Maya explains, all you have to do is highlight the text you are interested in, right click, and find decisions that express the concept you’ve searched.

The application uses ROSS’s Find Similar Language tool, which uses semantic search.

 

Radar trends to watch: August 2020 — from oreilly.com
Trends in COVID-19, AI, data, robotics, programming, VR, technology and society, and security.

Excerpt:

A promising new voice separation model allows voice recognition to distinguish up to five voices speaking simultaneously without knowing the number of speakers in advance.

 

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.

 

‘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.

 

What is blockchain technology? The ultimate guide for beginners. — from cryptocoinsociety.com by Jesús Cedeño

Excerpt:

The purpose of this article is to address three central questions that should be discussed to fully understand and appreciate this revolutionary and disruptive technology called blockchain. This will include historical details about nascent technology and its evolutionary progress through the first decade of existence. We will also explore the different types of this technology and explain why the blockchain name is a misnomer and introduce a more proper name for the technology.

Why do we Need Blockchain Technology?
To answer this question we need to state what is the value proposition of Blockchain Technology. Blockchain’s value hinges on decentralization. Without decentralization blockchain technology is no different from regular databases. Decentralization removes the need to have an intermediary or a single authority that acts as gatekeepers of truth or having to trust an entity to ensure the trustworthiness of any transaction. Through blockchain, people will be able to transact with each other directly without having to worry that transactions will push through and will not be reversible.

 

 

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!

 

Blockchain Can Disrupt Higher Education Today, Global Labor Market Tomorrow — from cointelegraph.com by Andrew Singer
Blockchain can play its part in the education sector — record-keeping in 2–3 years and then adoption by the labor market?

Excerpt (emphasis DSC):

In the post-pandemic world, individuals will need to seize ownership and control of their educational credentials — documents like degrees and transcripts — from schools, universities and governments. That notion received key support last week from the American Council on Education in a study funded by the United States Department of Education focusing on the use of blockchain in higher education.

“Blockchain, in particular, holds promise to create more efficient, durable connections between education and work,” wrote Ted Mitchell, the president of ACE, in the foreword to the study published on June 8, adding: “In the wake of the COVID-19 crisis, learners will be more mobile, moving in and out of formal education as their job, health, and family situations change.”

A key theme of the report is personal data agency — i.e., how “distributed ledger technologies [DLT] can ‘democratize’ data and empower individuals with agency over their personal information.”

 

Blockchain has been described as a hammer in search of a nail. If so, academic credentialing appears to be as obvious a nail as one can find. The current international trade in fake academic degrees, after all, is “staggering,” as the BBC reported, and with a global labor market increasingly mobile, the world could badly use a decentralized, borderless, tamper-free ledger of verifiable credentials — both for education and the broader labor market.

 

 

 

Flipped Learning Review -- May/June 2020

 

Flipped Learning Review — May | June 2020

Except from one of the articles entitled, “Preparing to switch between in-class and online learning — from flr.flglobal.org by Thomas Mennella

“I claim that Flipped Learning is the perfect bridge between face-to-face, on-ground instruction, and an online format. It excels in both worlds and makes transitioning between the two seamless. I am not over-reaching. I am not extrapolating. And I claim to be no expert. I simply showed you the data.”

 

From DSC:
I can’t help but reflect on how slippery the slope is when we start talking about using drones — especially as sponsored and used by governments, including our government here in the U.S. Consider the following from The Future Institute.

The Future Institute Today -- discussing the slippery slope of using drones

Excerpt:

Eyes in the sky
As nationwide racial justice protests continue, some journalists and protestors have noticed a new addition to the armed police officers and National Guard troops: a drone flying a hexagon-shaped route 20,000 feet above the streets in Minneapolis. The drone, flown by U.S. Customs and Border Protection, is called a Predator, and is a piece of military technology used for identifying and targeting terrorists overseas. Lately, it’s become a more common sight domestically.

Last month, a number of New Yorkers witnessed a drone floating above them, barking orders to follow social distancing guidelines. The mysterious drone wasn’t official police equipment, but rather a privately owned device piloted by a man named Xavier Arthur in Queens, who was frustrated that people weren’t following stay-at-home orders. He claimed to represent the “Anti-Covid-19 Volunteer Drone Task Force. 

It’s not an isolated incident. During the outbreak, drones have been used extensively to monitor residents and encourage them to stay indoors, to inspect traffic stops and hospitals, and to spray cities with disinfectants. In Paris and Mumbai, they’re patrolling social distancing violators. In China, a video clip went viral, showing a drone breaking up a mahjong game—residents had defied local orders that they stay indoors. Drones with infrared cameras also allegedly flew overhead and checked for people with fevers.

Advanced drones can pinpoint certain behaviors in crowds from high altitudes, recognize and automatically follow targets, and communicate with each other or to command centers on the ground with remarkable precision and low latency. The pandemic and protests are playing to the strengths of an emerging real-time aerial surveillance ecosystem.

3 Things You Should Know

  1. The Flying Internet of Things is taking off.
  2. New drones can self-destruct.
  3. Shareable drones may drive growth in the industry.
 

litera tv dot com -- Daniel Linna and Bob Ambrogi's conversation on June 3, 2020

WEDNESDAY | 6.3 | Law Insights with Bob Ambrogi and Daniel Linna, Director of Law and Technology Initiatives, Northwestern University Pritzker School of Law

Notes (emphasis DSC):

  • Trying to build community, collaborate, work together
  • How do you manage a team remotely? How build community online?
  • Spontaneous interactions still needed
  • In what ways does the online ecosystem ADD to what we are doing?
  • Jury trial – online; equalizer for those involved in trial; “all in same space on the screen”
  • Start with some basic/smaller things – landlord/tenant
  • Racism going on heavily this week – a second pandemic
  • Developing a quality movement in law (Linna)
  • We need quality metrics and we need to measure the value being provided. What makes something effective, high-quality, and valuable? Now apply that thinking to the delivery of legal services.
  • Project mgmt / quality movement – less defects, etc. in 1980’s / lean thinking / 6 sigma in GE / but haven’t seen this in the area of law
  • Empiricism in law – 100 years ago medicine and law were in the same spot; since then medicine started more testing, empirical work, data-driven practices; but law didn’t
  • Daniel Linna’s blog – https://www.legaltechlever.com/
  • Can we come up with metrics?
  • Dan worked with a lawyer-assisted program in Lansing, MI – what happened? What was duration of cases? Data-driven thinking; measure; make it more of a science
  • Bob asked isn’t law less scientific and perhaps more art than a science?
  • What kinds of metrics are we talking about in litigation?
  • Contracts – can we figure out what adds value and what makes a contract “better?” (Insert from DSC: Better for whom though?)
  • What actually matters to the client? Clauses that lawyers think that are important, businesspeople don’t think are important. Risk mitigation is not all the client thinks about.
  • Incomprehensible contracts – too hard to understand
  • Natural language generation – what inputs do we need? We don’t want many contracts to be the dataset that an algorithm gets trained on.
  • (Insert from DSC: Daniel relayed some information that reminded me of Clayton Christensen’s disruptive thinking: 80% of impoverished folks get NOTHING. Totally disconnected. Perhaps we don’t need perfection, but even something is much better than nothing. For example, provide an online legal aid booklet to those who are trying to represent themselves.)
  • Go for low-hanging fruit for more empirical
  • Ambrogi: How does the work you are doing impact access to justice (#A2J)? How could quality movement impact police procedures? Is there applicability in terms of what you are writing about?
  • Human-Centered Design – uncovering biases. Why would people TRUST the criminal system if they can’t trust the CIVIL system? Perhaps if landlords thought differently. Disconnected.
  • Innovate, improve, project management;
  • Way decisions are made vary greatly; need more open data from our courts; lack of transparency from courts.
  • Leadership – commitment to resolve issues. Lacking vision. What do we want our legal systems to look like/act like?

Call to action:

  • Have or develop a quality mindset
  • Leadership needs to paint a vision for what the future looks like
  • Training around legal operations
  • How to measure quality and value – be more data-driven

We need disruption AND continuous improvement – not one or the other.
–Daniel Linna

 

Making complex data approachable through art and information design — from vtnews.vt.edu

Excerpt:

Michael Stamper, University Libraries at Virginia Tech’s data visualization designer, plays a unique role in the research process by transforming faculty and student clients’ complex research data into vibrant, interactive, and dynamic visualizations to better communicate their findings to a broad audience.

 

Why education is a ‘wicked problem’ for learning engineers to solve — from edsurge.com by Rebecca Koenig

Excerpts (emphasis DSC):

So, back to the wicked problem: How do we make education that’s both quality education and at the same time accessible and affordable?

“Now, we are building a new technology that we call Agent Smith. It’s another AI technology— and we’re very excited about it—that builds [a] Jill Watson for you. And Agent Smith can build a Jill Watson for you in less than 10 percent of the hours.”

So one question for online education is, can we build a new set of tools—and I think that’s where AI is going to go, that learning engineering is going to go—where AI is not helping individual humans as much as AI is helping human-human interaction.

Huge ethical issues and something that learning engineering has not yet started focusing on in a serious manner. We are still in a phase of, “Look ma, no hands, I can ride a bike without hands.”

Technology should not be left to technologists.

Learning from the living class room

 

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