Per Jane Hart on LinkedIn:

Top 200 Tools for Learning 2019 is now published, together with:

PLUS analysis of how these tools are being used in different context, new graphics, and updated comments on the tools’ pages that show how people are using the tools.

 

 

 

The Global Landscape of Online Program Companies — from by Doug Lederman
New trove of data suggests a bigger, more complex, more varied ecosystem of companies that work with colleges to take their academic programs online.

Excerpt:

A new dataset promises to give college leaders, company officials and others involved in the online learning landscape much more information about who offers what programs, how they manage them and where the money is flowing, among other factors.

And the company behind the new data, Holon IQ, published a report today that gives a new name to the large and diversifying category of providers that are working with colleges to take their programs online: OPX, instead of OPM, for online program management companies. (More on that later.)

Also see:

Also see:

  • Multi-Faculty Collaboration to Design Online General Studies Courses — from facultyfocus.com by B. Jean Mandernach
    Excerpt:
    While this type of autonomy in course design makes sense for the face-to-face classroom, it may be less practical–and less effective–in the context of online education. Simply put, development of a high-quality online course takes considerable time and advanced knowledge of online pedagogy. If multiple faculty members are teaching the same course online (as is often the case with general studies or other high-demand courses), it is not an efficient use of departmental time, resources, or budget to have multiple faculty developing their own online classroom for different sections of the same course.
 

An artificial-intelligence first: Voice-mimicking software reportedly used in a major theft — from washingtonpost.com by Drew Harwell

Excerpt:

Thieves used voice-mimicking software to imitate a company executive’s speech and dupe his subordinate into sending hundreds of thousands of dollars to a secret account, the company’s insurer said, in a remarkable case that some researchers are calling one of the world’s first publicly reported artificial-intelligence heists.

The managing director of a British energy company, believing his boss was on the phone, followed orders one Friday afternoon in March to wire more than $240,000 to an account in Hungary, said representatives from the French insurance giant Euler Hermes, which declined to name the company.

 

From DSC:
Needless to say, this is very scary stuff here! Now what…? Who in our society should get involved to thwart this kind of thing?

  • Programmers?
  • Digital audio specialists?
  • Legislators?
  • Lawyers?
  • The FBI?
  • Police?
  • Other?


Addendum on 9/12/19:

 

After 40 Years of Constant Change, What’s Next for the Legal Industry?  — from law.com by Dan Packel
Few could have anticipated the dramatic shift in scope and scale the industry has undergone since The American Lawyer’s founding 40 years ago. We asked some of the law’s brightest thinkers what we can expect over the next 10.

Excerpts (emphasis DSC):

Technology and Upheaval
While it’s easy to conclude that the technological revolution that’s already been unleashed will continue to drive transformation over the next 10 years, it’s harder to pinpoint how.

Expect more and more tasks to become subject to automation—not just contracts and e-discovery but also areas like trademarks and due diligence for mergers, for starters.

Technology and artificial intelligence on their own are noteworthy, but what’s more compelling is the impact they will have on how firms are structured.

“Everything that can be taken out of the hands of subject-matter experts and handed over to the process experts and technologists will be,” says Orrick, Herrington & Sutcliffe Chairman and CEO Mitch Zuklie. “There will be far fewer associates sitting in rooms with documents and more strategic partnerships among law firms and legal tech providers.”

This transition could help chip away at the supremacy of the billable hour.

Not only will technology move up the value chain for litigation, it will also emerge as a greater player on the deal side. Jae Um, director of pricing strategy at Baker McKenzie, expects to see a much greater focus on compliance and regulatory technology in the next five years.

As AI solutions, which depend upon machine learning, are slowly deployed in the marketplace, their efficacy will inevitably grow.

 

How about a little wild speculation to wrap this up?  With more nonlawyer specialists finding professional homes in law firms, it’s a short leap to hybrids between law firms and professional services operations. Imagine consultants and accountants working together with lawyers and technologists to solve clients’ increasingly complex problems. And what about a high-profile merger between a Big Four firm and a global law firm? I wouldn’t rule it out.

 

 

Samsung’s take on the world of 2069 — from newatlas.com by David Szondy

Excerpt:

Samsung is looking forward to what life might be like in the year 2069. The new report, called Samsung KX50: The Future in Focus, draws on the opinions of six of Britain’s leading academics and futurists to look at a range of new technologies that will affect people’s everyday lives.

 

 

 

Take a tour of Google Earth with speakers of 50 different indigenous languages — from fastcompany.com by Melissa Locker

Excerpt:

After the United Nations declared 2019 the International Year of Indigenous Languages, Google decided to help draw attention to the indigenous languages spoken around the globe and perhaps help preserve some of the endangered ones too. To that end, the company recently launched its first audio-driven collection, a new Google Earth tour complete with audio recordings from more than 50 indigenous language speakers from around the world.

 

 

Reflections on “Clay Shirky on Mega-Universities and Scale” [Christian]

Clay Shirky on Mega-Universities and Scale — from philonedtech.com by Clay Shirky
[This was a guest post by Clay Shirky that grew out of a conversation that Clay and Phil had about IPEDS enrollment data. Most of the graphs are provided by Phil.]

Excerpts:

Were half a dozen institutions to dominate the online learning landscape with no end to their expansion, or shift what Americans seek in a college degree, that would indeed be one of the greatest transformations in the history of American higher education. The available data, however, casts doubt on that idea.

Though much of the conversation around mega-universities is speculative, we already know what a mega-university actually looks like, one much larger than any university today. It looks like the University of Phoenix, or rather it looked like Phoenix at the beginning of this decade, when it had 470,000 students, the majority of whom took some or all of their classes online. Phoenix back then was six times the size of the next-largest school, Kaplan, with 78,000 students, and nearly five times the size of any university operating today.

From that high-water mark, Phoenix has lost an average of 40,000 students every year of this decade.

 

From DSC:
First of all, I greatly appreciate both Clay’s and Phil’s thought leadership and their respective contributions to education and learning through the years. I value their perspectives and their work.  Clay and Phil offer up a great article here — one worth your time to read.  

The article made me reflect on what I’ve been building upon and tracking for the last decade — a next generation ***PLATFORM*** that I believe will represent a powerful piece of a global learning ecosystem. I call this vision, “Learning from the Living [Class] Room.” Though the artificial intelligence-backed platform that I’m envisioning doesn’t yet fully exist — this new era and type of learning-based platform ARE coming. The emerging signs, technologies, trends — and “fingerprints”of it, if you will — are beginning to develop all over the place.

Such a platform will:

  • Be aimed at the lifelong learner.
  • Offer up major opportunities to stay relevant and up-to-date with one’s skills.
  • Offer access to the program offerings from many organizations — including the mega-universities, but also, from many other organizations that are not nearly as large as the mega-universities.
  • Be reliant upon human teachers, professors, trainers, subject matter experts, but will be backed up by powerful AI-based technologies/tools. For example, AI-based tools will pulse-check the open job descriptions and the needs of business and present the top ___ areas to go into (how long those areas/jobs last is anyone’s guess, given the exponential pace of technological change).

Below are some quotes that I want to comment on:

Not nothing, but not the kind of environment that will produce an educational Amazon either, especially since the top 30 actually shrank by 0.2% a year.

 

Instead of an “Amazon vs. the rest” dynamic, online education is turning into something much more widely adopted, where the biggest schools are simply the upper end of a continuum, not so different from their competitors, and not worth treating as members of a separate category.

 

Since the founding of William and Mary, the country’s second college, higher education in the U.S. hasn’t been a winner-take-all market, and it isn’t one today. We are not entering a world where the largest university operates at outsized scale, we’re leaving that world; 

 

From DSC:
I don’t see us leaving that world at all…but that’s not my main reflection here. Instead, I’m not focusing on how large the mega-universities will become. When I speak of a forthcoming Walmart of Education or Amazon of Education, what I have in mind is a platform…not one particular organization.

Consider that the vast majority of Amazon’s revenues come from products that other organizations produce. They are a platform, if you will. And in the world of platforms (i.e., software), it IS a winner take all market. 

Bill Gates reflects on this as well in this recent article from The Verge:

“In the software world, particularly for platforms, these are winner-take-all markets.

So it’s all about a forthcoming platform — or platforms. (It could be more than one platform. Consider Apple. Consider Microsoft. Consider Google. Consider Facebook.)

But then the question becomes…would a large amount of universities (and other types of organizations) be willing to offer up their courses on a platform? Well, consider what’s ALREADY happening with FutureLearn:

Finally…one more excerpt from Clay’s article:

Eventually the new ideas lose their power to shock, and end up being widely copied. Institutional transformation starts as heresy and ends as a section in the faculty handbook. 

From DSC:
This is a great point. Reminds me of this tweet from Fred Steube (and I added a piece about Western Telegraph):

 

Some things to reflect upon…for sure.

 

What new trends and technologies can we use to design and deliver modern training experiences? — from modernworkplacelearning.com by Jane Hart
Here are 3 meta-trends that I’m seeing which show how new thinking, trends and technologies can be used to offer modern training experiences.

 

But more significantly, what this means is that these platforms are becoming a hub for work and learning. It’s no longer just about taking an online courses or classroom training – disconnected from the real world of work. Learning is now being seen in a very different light – as a work activity – and one that is highly performance-focused.

 

 

Is your college future-ready? — from jisc.ac.uk by Robin Ghurbhurun

Excerpt:

Artificial intelligence (AI) is increasingly becoming science fact rather than science fiction. Alexa is everywhere from the house to the car, Siri is in the palm of your hand and students and the wider community can now get instant responses to their queries. We as educators have a duty to make sense of the information out there, working alongside AI to facilitate students’ curiosities.

Instead of banning mobile phones on campus, let’s manage our learning environments differently

We need to plan strategically to avoid a future where only the wealthy have access to human teachers, whilst others are taught with AI. We want all students to benefit from both. We should have teacher-approved content from VLEs and AI assistants supporting learning and discussion, everywhere from the classroom to the workplace. Let’s learn from the domestic market; witness the increasing rise of co-bot workers coming to an office near you.

 

 

Blockchain: The move from freedom to the rigid, dominant system in learning — from oeb.global by Inge de Waard
In this post Inge de Waard gives an overview of current Blockchain options from industry and looks at its impact on universities as well as philosophises on its future.

Excerpt:

I mentioned a couple of Blockchain certification options already, but an even more advanced blockchain in learning example has entered on my radar too. It is a Russian implementation called Disciplina. This platform combines education (including vocational training), recruiting (comparable with what LinkedIn is doing with its economic graph) and careers for professionals. All of this is combined into a blockchain solution that keeps track of all the learners’ journey. The platform includes not only online courses as we know it but also coaching. After each training, you get a certificate.

TeachMePlease, which is a partner of Disciplina, enables teachers and students to find each other for specific professional training as well as curriculum-related children’s schooling. Admittedly, these initiatives are still being rolled out in terms of courses, but it clearly shows where the next learning will be located: in an umbrella above all the universities and professional academies. At present, the university courses are being embedded into course offerings by corporations that roll out a layer post-university, or post-vocational schooling.

Europe embraces blockchain, as can be seen with their EU Blockchain observatory and forum. And in a more national action, Malta is storing their certifications in a blockchain nationwide as well. We cannot deny that blockchain is getting picked up by both companies and governments. Universities have been piloting several blockchain certification options, and they also harbour some of the leading voices in the debate on blockchain certification.

 

Also see:

AI in education -- April 2019 by Inge de Waard

Future proof learning -- the Skills 3.0 project

 

Also see:

  • 7 blockchain mistakes and how to avoid them — from computerworld.com by Lucas Mearian
    The blockchain industry is still something of a wild west, with many cloud service offerings and a large universe of platforms that can vary greatly in their capabilities. So enterprises should beware jumping to conclusions about the technology.
 
 

10 things we should all demand from Big Tech right now — from vox.com by Sigal Samuel
We need an algorithmic bill of rights. AI experts helped us write one.

We need an algorithmic bill of rights. AI experts helped us write one.

Excerpts:

  1. Transparency: We have the right to know when an algorithm is making a decision about us, which factors are being considered by the algorithm, and how those factors are being weighted.
  2. Explanation: We have the right to be given explanations about how algorithms affect us in a specific situation, and these explanations should be clear enough that the average person will be able to understand them.
  3. Consent: We have the right to give or refuse consent for any AI application that has a material impact on our lives or uses sensitive data, such as biometric data.
  4. Freedom from bias: We have the right to evidence showing that algorithms have been tested for bias related to race, gender, and other protected characteristics — before they’re rolled out. The algorithms must meet standards of fairness and nondiscrimination and ensure just outcomes. (Inserted comment from DSC: Is this even possible? I hope so, but I have my doubts especially given the enormous lack of diversity within the large tech companies.)
  5. Feedback mechanism: We have the right to exert some degree of control over the way algorithms work.
  6. Portability: We have the right to easily transfer all our data from one provider to another.
  7. Redress: We have the right to seek redress if we believe an algorithmic system has unfairly penalized or harmed us.
  8. Algorithmic literacy: We have the right to free educational resources about algorithmic systems.
  9. Independent oversight: We have the right to expect that an independent oversight body will be appointed to conduct retrospective reviews of algorithmic systems gone wrong. The results of these investigations should be made public.
  10. Federal and global governance: We have the right to robust federal and global governance structures with human rights at their center. Algorithmic systems don’t stop at national borders, and they are increasingly used to decide who gets to cross borders, making international governance crucial.

 

This raises the question: Who should be tasked with enforcing these norms? Government regulators? The tech companies themselves?

 

 

Introduction: Leading the social enterprise—Reinvent with a human focus
2019 Global Human Capital Trends
— from deloitte.com by Volini?, Schwartz? ?, Roy?, Hauptmann, Van Durme, Denny, and Bersin

Excerpt (emphasis DSC):

Learning in the flow of life. The number-one trend for 2019 is the need for organizations to change the way people learn; 86 percent of respondents cited this as an important or very important issue. It’s not hard to understand why. Evolving work demands and skills requirements are creating an enormous demand for new skills and capabilities, while a tight labor market is making it challenging for organizations to hire people from outside. Within this context, we see three broader trends in how learning is evolving: It is becoming more integrated with work; it is becoming more personal; and it is shifting—slowly—toward lifelong models. Effective reinvention along these lines requires a culture that supports continuous learning, incentives that motivate people to take advantage of learning opportunities, and a focus on helping individuals identify and develop new, needed skills.

 

People, Power and Technology: The Tech Workers’ View — from doteveryone.org.uk

Excerpt:

People, Power and Technology: The Tech Workers’ View is the first in-depth research into the attitudes of the people who design and build digital technologies in the UK. It shows that workers are calling for an end to the era of moving fast and breaking things.

Significant numbers of highly skilled people are voting with their feet and leaving jobs they feel could have negative consequences for people and society. This is heightening the UK’s tech talent crisis and running up employers’ recruitment and retention bills. Organisations and teams that can understand and meet their teams’ demands to work responsibly will have a new competitive advantage.

While Silicon Valley CEOs have tried to reverse the “techlash” by showing their responsible credentials in the media, this research shows that workers:

    • need guidance and skills to help navigate new dilemmas
    • have an appetite for more responsible leadership
    • want clear government regulation so they can innovate with awareness

Also see:

  • U.K. Tech Staff Quit Over Work On ‘Harmful’ AI Projects — from forbes.com by Sam Shead
    Excerpt:
    An alarming number of technology workers operating in the rapidly advancing field of artificial intelligence say they are concerned about the products they’re building. Some 59% of U.K. tech workers focusing on AI have experience of working on products that they felt might be harmful for society, according to a report published on Monday by Doteveryone, the think tank set up by lastminute.com cofounder and Twitter board member Martha Lane Fox.

 

 

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