Gartner: Top 10 Strategic Technologies Impacting Higher Ed in 2019 — from campustechnology.com by Rhea Kelly

Excerpt:

  • Artificial intelligence conversational interfaces. Gartner defines these as “a subset of conversational user interfaces (CUIs), in which user and machine interactions occur in the user’s spoken or written natural language.” The benefit for higher ed insitutions: “CUIs place responsibility on the machine interface to learn what the user wants, rather than the user having to learn the software, saving user time, increasing student satisfaction, and being available to use 24/7.”
  • Smart campus. This is “a physical or digital environment in which humans and technology-enabled systems interact to create more immersive and automated experiences for university stakeholders.” While smart campus initiatives are still in the early stages, there has been a rising interest across higher ed institutions, according to Gartner. “The smart campus will drive growth in markets like robotic process automation solutions and augmented and virtual reality in the higher education space. Campus efficiency will be enhanced and student learning will be enriched with the new capabilities they bring. It’s a win all-around, except for the data security implications that come with most technology initiatives today,” said Morgan.
  • Digital credentialing technologies. “Students, faculty and the higher education institutions they are a part of are starting to expect the ability to quickly and freely exchange credentials to enhance the verification and recruitment process,” noted Gartner. Technologies such as blockchain and data encryption are driving change in this area. “In many ways, credentials issued by an education institution are the only tangible evidence of higher education. They should be considered the currency of the education ecosystem,” said Morgan. “These technologies really enable universities to leverage technology to improve the student experience by giving them more control over their information. The only hurdle is a general lack of understanding of digital credentialing technologies and risk-averseness in the high-stakes nature of the higher education market.”

 

 

Map of fundamental technologies in legal services — from remakinglawfirms.com by Michelle Mahoney

Excerpt:
The Map is designed to help make sense of the trends we are observing:

  • an increasing number of legal technology offerings;
  • the increasing effectiveness of legal technologies;
  • emerging new categories of legal technology;
  • the layering and combining of fundamental technology capabilities; and
  • the maturation of machine learning, natural language processing and deep learning artificial intelligence.

Given the exponential nature of the technologies, the Fundamental Technologies Map can only depict the landscape at the current point in time.

 

Information processing in legal services (PDF file)

 

Also see:
Delta Model Update: The Most Important Area of Lawyer Competency — Personal Effectiveness Skills — from legalexecutiveinstitute.comby Natalie Runyon

Excerpt:

Many legal experts say the legal industry is at an inflection point because the pace of change is being driven by many factors — technology, client demand, disaggregation of matter workflow, the rise of Millennials approaching mid-career status, and the faster pace of business in general.

The fact that technology spend by law firms continues to be a primary area of investment underscores the fact that the pace of change is continuing to accelerate with the ongoing rise of big data and workflow technology that are greatly influencing how lawyering gets done. Moreover, combined with big unstructured data, artificial intelligence (AI) is creating opportunities to analyze siloed data sets to gain insights in numerous new ways.

 

 

HBS Online: Why Harvard Business School’s digital rebrand is big news for online learning — from businessbecause.com by Seb Murray
Name change from HBX to Harvard Business School Online symbolizes a maturing market. We speak to Patrick Mullane, executive director of HBS Online, to find out more

Excerpt:

At first glance, it may have seemed like an inconsequential name change: Harvard Business School’s digital learning platform HBX would be called HBS Online.

But commentators have billed the recent rebrand as having the potential for a big impact on online education. For one, the makeover could help to further legitimize the market.

Online learning was initially considered second-rate to campus study, due to concerns about teaching quality and interactivity online. Nitin Nohria, the dean of HBS, saying in 2010 that the school would never go online in his lifetime, appeared to confirm the scepticism.

But he has since admitted he ‘misjudged the potential of online education’ and is…

 

From DSC:
This is very old hat…but those who haven’t taught online should not judge online teaching and learning. If I gave you the writeups from my students from a class that I have taught in both a face-to-face format as well as in an online format — where I ask them what they learned during the class — I swear that you could not tell which documents represented those courses taught online vs. those taught face-to-face. I guarantee it. So as the saying goes…don’t judge it if you haven’t tried it.

Oh…and by the way, many of the innovations in teaching and learning are happening in the digital/virtual realm. Not all, but many. And we haven’t seen anything yet. 

 

 

MIT has just announced a $1 billion plan to create a new college for AI — from technologyreview.com

Excerpt:

One of the birthplaces of artificial intelligence, MIT, has announced a bold plan to reshape its academic program around the technology. With $1 billion in funding, MIT will create a new college that combines AI, machine learning, and data science with other academic disciplines. It is the largest financial investment in AI by any US academic institution to date.

 

From this page:

The College will:

  • reorient MIT to bring the power of computing and AI to all fields of study at MIT, allowing the future of computing and AI to be shaped by insights from all other disciplines;
  • create 50 new faculty positions that will be located both within the College and jointly with other departments across MIT — nearly doubling MIT’s academic capability in computing and AI;
  • give MIT’s five schools a shared structure for collaborative education, research, and innovation in computing and AI;
  • educate students in every discipline to responsibly use and develop AI and computing technologies to help make a better world; and
  • transform education and research in public policy and ethical considerations relevant to computing and AI.

 

 

Collaboration technology is fueling enterprise transformation – increasing agility, driving efficiency and improving productivity. Join Amy Chang at Enterprise Connect where she will share Cisco’s vision for the future of collaboration, the foundations we have in place and the amazing work we’re driving to win our customers’ hearts and minds. Cognitive collaboration – technology that weaves context and intelligence across applications, devices and workflows, connecting people with customers & colleagues, to deliver unprecedented experiences and transform how we work – is at the heart of our efforts. Join this session to see our technology in action and hear how our customers are using our portfolio of products today to transform the way they work.

 

 

 

 

Is Thomas Frey right? “…by 2030 the largest company on the internet is going to be an education-based company that we haven’t heard of yet.”

From a fairly recent e-newsletter from edsurge.com — though I don’t recall the exact date (emphasis DSC):

New England is home to some of the most famous universities in the world. But the region has also become ground zero for the demographic shifts that promise to disrupt higher education.

This week saw two developments that fit the narrative. On Monday, Southern Vermont College announced that it would shut its doors, becoming the latest small rural private college to do so. Later that same day, the University of Massachusetts said it would start a new online college aimed at a national audience, noting that it expects campus enrollments to erode as the number of traditional college-age students declines in the coming years.

“Make no mistake—this is an existential threat to entire sectors of higher education,” said UMass president Marty Meehan in announcing the online effort.

The approach seems to parallel the U.S. retail sector, where, as a New York Times piece outlines this week, stores like Target and WalMart have thrived by building online strategies aimed at competing with Amazon, while stores like Gap and Payless, which did little to move online, are closing stores. Of course, college is not like any other product or service, and plenty of campuses are touting the richness of the experience that students get by actually coming to a campus. And it’s not clear how many colleges can grow online to a scale that makes their investments pay off.

 

“It’s predicted that over the next several years, four to five major national players with strong regional footholds will be established. We intend to be one of them.”

University of Massachusetts President Marty Meehan

 

 

From DSC:
That last quote from UMass President Marty Meehan made me reflect upon the idea of having one or more enormous entities that will provide “higher education” in the future. I wonder if things will turn out to be that we’ll have more lifelong learning providers and platforms in the future — with the idea of a 60-year curriculum being an interesting idea that may come into fruition.

Long have I predicted that such an enormous entity would come to pass. Back in 2008, I named it the Forthcoming Walmart of Education. But then as the years went by, I got bumbed out on some things that Walmart was doing, and re-branded it the Forthcoming Amazon.com of Higher Education. We’ll see how long that updated title lasts — but you get the point. In fact, the point aligns very nicely with what futurist Thomas Frey has been predicting for years as well:

“I’ve been predicting that by 2030 the largest company on the internet is going to be an education-based company that we haven’t heard of yet,” Frey, the senior futurist at the DaVinci Institute think tank, tells Business Insider. (source)

I realize that education doesn’t always scale well…but I’m thinking that how people learn in the future may be different than how we did things in the past…communities of practice comes to mind…as does new forms of credentialing…as does cloud-based learner profiles…as does the need for highly efficient, cost-effective, and constant opportunities/means to reinvent oneself.

Also see:

 

 

Addendum:

74% of consumers go to Amazon when they’re ready to buy something. That should be keeping retailers up at night. — from cnbc.com

Key points (emphasis DSC)

  • Amazon remains a looming threat for some of the biggest retailers in the country — like Walmart, Target and Macy’s.
  • When consumers are ready to buy a specific product, nearly three-quarters of them, or 74 percent, are going straight to Amazon to do it, according to a new study by Feedvisor.
  • By the end of this year, Amazon is expected to account for 52.4 percent of the e-commerce market in the U.S., up from 48 percent in 2018.

 

“In New England, there will be between 32,000 and 54,000 fewer college-aged students just seven years from now,” Meehan said. “That means colleges and universities will have too much capacity and not enough demand at a time when the economic model in higher education is already straining under its own weight.” (Marty Meehan at WBUR)

 

 

The Future Today Institute’s 12th Annual Emerging Tech Trends Report — from futuretodayinstitute.com

Excerpts:

At the Future Today Institute, we identify emerging tech trends and map the future for our clients. This is FTI’s 12th annual Tech Trends Report, and in it we identify 315 tantalizing advancements in emerging technologies — artificial intelligence, biotech, autonomous robots, green energy and space travel — that will begin to enter the mainstream and fundamentally disrupt business, geopolitics and everyday life around the world. As of the publication date, the annual FTI Tech Trend Report report has garnered more than 7.5 cumulative views.

Key findings for 2019 (emphasis DSC)

  • Privacy is dead. (DC: NOT GOOD!!! If this is true, can the situation be reversed?)
  • Voice Search Optimization (VSO) is the new SEO.
  • The Big Nine.
  • Personal data records are coming. (DC: Including cloud-based learner profiles I hope.)
  • China continues to ascend, and not just in artificial intelligence.
  • Lawmakers around the world are not prepared to deal with new challenges that arise from emerging science and technology.
  • Consolidation continues as a key theme for 2019.

 

 

How MIT’s Mini Cheetah Can Help Accelerate Robotics Research — from spectrum.ieee.org by Evan Ackerman
Sangbae Kim talks to us about the new Mini Cheetah quadruped and his future plans for the robot

 

 

From DSC:
Sorry, but while the video/robot is incredible, a feeling in the pit of my stomach makes me reflect upon what’s likely happening along these lines in the militaries throughout the globe…I don’t mean to be a fear monger, but rather a realist.

 

 

Instructure: Plans to expand beyond Canvas LMS into machine learning and AI — from mfeldstein.com by Phill Hill

Excerpts:

On the same day as Instructure’s earnings call and release of FY2018 financial results, the company announced the acquisition of Portfolium for $43 million, a small startup focusing on “ePortfolio network, student-centered assessment, job matching capabilities, and academic and co-curricular pathways”.

Instructure now views itself as a company with a suite of products, and they are much more open to using corporate M&A to build this portfolio.

We already have analytical capabilities in our Canvas platform. I want to be really clear and delineate the difference between an analytics and reporting capability, and a machine learning and AI platform.

We have the most comprehensive database on the educational experience in the globe. So given that information that we have, no one else has those data assets at their fingertips to be able to develop those algorithms and predictive models.

What’s even more interesting and compelling is that we can take that information, correlate it across all sorts of universities, curricula, etc, and we can start making recommendations and suggestions to the student or instructor in how they can be more successful. Watch this video, read this passage, do problems 17-34 in this textbook, spend an extra two hours on this or that. When we drive student success, we impact things like retention, we impact the productivity of the teachers, and it’s a huge opportunity. That’s just one small example. Our DIG initiative, it is first and foremost a platform for ML and AI, and we will deliver and monetize it by offering different functional domains of predictive algorithms and insights. Maybe things like student success, retention, coaching and advising, career pathing, as well as a number of the other metrics that will help improve the value of an institution or connectivity across institutions.

 

 

 

 

Why AI is a threat to democracy — and what we can do to stop it — from technologyreview.com by Karen Hao and Amy Webb

Excerpt:

Universities must create space in their programs for hybrid degrees. They should incentivize CS students to study comparative literature, world religions, microeconomics, cultural anthropology and similar courses in other departments. They should champion dual degree programs in computer science and international relations, theology, political science, philosophy, public health, education and the like. Ethics should not be taught as a stand-alone class, something to simply check off a list. Schools must incentivize even tenured professors to weave complicated discussions of bias, risk, philosophy, religion, gender, and ethics in their courses.

One of my biggest recommendations is the formation of GAIA, what I call the Global Alliance on Intelligence Augmentation. At the moment people around the world have very different attitudes and approaches when it comes to data collection and sharing, what can and should be automated, and what a future with more generally intelligent systems might look like. So I think we should create some kind of central organization that can develop global norms and standards, some kind of guardrails to imbue not just American or Chinese ideals inside AI systems, but worldviews that are much more representative of everybody.

Most of all, we have to be willing to think about this much longer-term, not just five years from now. We need to stop saying, “Well, we can’t predict the future, so let’s not worry about it right now.” It’s true, we can’t predict the future. But we can certainly do a better job of planning for it.

 

 

 

 

From DSC:
Our family uses AT&T for our smartphones and for our Internet access. What I would really like from AT&T is to be able to speak into an app — either located on a smartphone or have their routers morph into Alexa-type of devices — to be able to speak to what I want my router to do:

“Turn off Internet access tonight from 9pm until 6am tomorrow morning.”
“Only allow Internet access for parents’ accounts.”
“Upgrade my bandwidth for the next 2 hours.”

Upon startup, the app would ask whether I wanted to setup any “admin” types of accounts…and, if so, would recognize that voice/those voices as having authority and control over the device.

Would you use this type of interface? I know I would!

P.S. I’d like to be able to speak to our
thermostat in that sort of way as well.

 

The 10+ best real-world examples of augmented reality — from forbes.com by Bernard Marr

Excerpt:

Augmented reality (AR) can add value, solve problems and enhance the user experience in nearly every industry. Businesses are catching on and increasing investments to drive the growth of augmented reality, which makes it a crucial part of the tech economy.

 

As referenced by Bernard in his above article:

 

 

From DSC:
Along these lines, I really appreciate the “translate” feature within Twitter. It helps open up whole new avenues of learning for me from people across the globe. A very cool, practical, positive, beneficial feature/tool!!!

 

 

India Just Swore in Its First Robot Police Officer — from futurism.com by Dan Robitzski
RoboCop, meet KP-Bot.

Excerpt:

RoboCop
India just swore in its first robotic police officer, which is named KP-Bot.

The animatronic-looking machine was granted the rank of sub-inspector on Tuesday, and it will operate the front desk of Thiruvananthapuram police headquarters, according to India Today.

 

 

From DSC:
Whoa….hmmm…note to the ABA and to the legal education field — and actually to anyone involved in developing laws — we need to catch up. Quickly.

My thoughts go to the governments and to the militaries around the globe. Are we now on a slippery slope? How far along are the militaries of the world in integrating robotics and AI into their weapons of war? Quite far, I think.

Also, at the higher education level, are Computer Science and Engineering Departments taking their responsibilities seriously in this regard? What kind of teaching is being done (or not done) in terms of the moral responsibilities of their code? Their robots?

 

 

 
 

For a next gen learning platform: A Netflix-like interface to check out potential functionalities / educationally-related “apps” [Christian]

From DSC:
In a next generation learning system, it would be sharp/beneficial to have a Netflix-like interface to check out potential functionalities that you could turn on and off (at will) — as one component of your learning ecosystem that could feature a setup located in your living room or office.

For example, put a Netflix-like interface to the apps out at eduappcenter.com (i.e., using a rolling interface at first, then going to a static page/listing of apps…again…similar to Netflix).

 

A Netflix-like interface to check out potential functionalities / educationally-related apps

 

 

 
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