Cambridge library installation gives readers control of their sensory space — from cambridge.wickedlocal.com by Hannah Schoenbaum

Excerpts:

A luminous igloo-shaped structure in the front room of the Cambridge Public Library beckoned curious library visitors during the snowy first weekend of March, inviting them to explore a space engineered for everyone, yet uniquely their own.

Called “Alterspace” and developed by Harvard’s metaLAB and Library Innovation Lab, this experiment in adaptive architecture granted the individual control over the sensory elements in his or her space. A user enters the LED-illuminated dome to find headphones, chairs and an iPad on a library cart, which displays six modes: Relax, Read, Meditate, Focus, Create and W3!Rd.

From the cool blues and greens of Relax mode to a rainbow overload of excitement in the W3!Rd mode, Alterspace is engineered to transform its lights, sounds and colors into the ideal environment for a particular action.

 

 

From DSC:
This brings me back to the question/reflection…in the future, will students using VR headsets be able to study by a brook? An ocean? In a very quiet library (i.e., the headset would come with solid noise cancellation capabilities build into it)?  This type of room/capability would really be helpful for our daughter…who is easily distracted and doesn’t like noise.

 

 

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.

 

 

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)

 

 

A Chinese subway is experimenting with facial recognition to pay for fares — from theverge.com by Shannon Liao

Excerpt:

Scanning your face on a screen to get into the subway might not be that far off in the future. In China’s tech capital, Shenzhen, a local subway operator is testing facial recognition subway access, powered by a 5G network, as spotted by the South China Morning Post.

The trial is limited to a single station thus far, and it’s not immediately clear how this will work for twins or lookalikes. People entering the station can scan their faces on the screen where they would normally have tapped their phones or subway cards. Their fare then gets automatically deducted from their linked accounts. They will need to have registered their facial data beforehand and linked a payment method to their subway account.

 

 

From DSC:
I don’t want this type of thing here in the United States. But…now what do I do? What about you? What can we do? What paths are open to us to stop this?

I would argue that the new, developing, technological “Wild Wests” in many societies throughout the globe could be dangerous to our futures. Why? Because the pace of change has changed. And these new Wild Wests now have emerging, powerful, ever-more invasive (i.e., privacy-stealing) technologies to deal with — the likes of which the world has never seen or encountered before. With this new, rapid pace of change, societies aren’t able to keep up.

And who is going to use the data? Governments? Large tech companies? Other?

Don’t get me wrong, I’m generally pro-technology. But this new pace of change could wreak havoc on us. We need time to weigh in on these emerging techs.

 

Addendum on 3/20/19:

  • Chinese Facial Recognition Database Exposes 2.5 Million People — from futurumresearch.com by Shelly Kramer
    Excerpt:
    An artificial intelligence company operating a facial recognition system in China recently left its database exposed online, leaving the personal information of some 2.5 million Chinese citizens vulnerable. Considering how much the Chinese government relies on facial recognition technology, this is a big deal—for both the Chinese government and Chinese citizens.

 

 

4 key tech strategies for the survival of the small liberal arts college — from campustechnology.com by Kellie B. Campbell
In a recent study on the use of technology to reduce academic costs in liberal arts colleges, four distinct themes emerged: the strategic role of IT; the importance of data; the potential of alternative education delivery modes; and opportunities for institutional partnerships. Here’s how IT leaders at these small colleges understand the future of their institutions.

Excerpt:

In this study, the flexibility of the semi-constructed interview format resulted in a fascinating level of honesty and bluntness from participants. In particular, participants’ language changed when they were asked to take off their professional hat and consider a new point of view — it was a chance to be vulnerable and honest. What was probably most interesting was that almost everyone signaled that the status quo is not sustainable. Something in the higher education model has to change for institutions to stay open, yet many lack a strategy for effecting change. Even if they do have a strategy in place on the business side, many are hesitant to dive into analysis and change on the academic side of the institution.

Institutions simply cannot continue to nibble at the edges of change. Significant change is needed in order to sustain the financial model of higher education. The ideas for doing so are out there, though the work must be guided by the institutional mission and consider new models for delivering education. CIOs and their departments can play an important role in that work — providing infrastructure, data, access, services and ideas — but institutional leadership at large needs to understand IT’s strategic role and position the organization to make that impact.

When participants were able to think about the “what if” question — what if the institution were forced to drastically cut academic costs — several had detailed, “out there” ideas that might not be traditionally welcomed into higher education cultures. Yet a number of participants were not being asked by their institutions to think about such ideas. The question is, if everyone agrees that the status quo is not sustainable, why aren’t they thinking about it?

 

 

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.

 

 

 

Blockchain Deployment Checklist — from The Journal by Sara Friedman
While the technology is still in the nascent stages, blockchain-based education systems have the potential to revolutionize how school districts manage student data.

 

 

 

From DSC:
Unfortunately, the checklist provided in this solid article was too long and complicated…it needs to be streamlined. But I think it’s likely that we’ll see more products out there in the future that will remove these complexities.

Along these lines, I think we’ll see cloud-based learner profiles in the future. Throughout our lifetimes, we will own the data and direct who can — and can’t — access it.

 


Also see:

 


 

 

56% of employees lack digital skills needed for future jobs — from techrepublic.com by Macy Bayern
Only 29% of employees globally said their digital skills are sufficient, according to a Vodafone report.

Excerpt:

The majority of respondents (85%) said digital skills are necessities for their jobs, but only 29% of employees felt their skills are currently strong enough, according to the report. Specifically in the US, only 32% of respondents said their companies give them the opportunities or tools to continue gaining digital skills.

 

 

Excerpt:

CONCLUSION
This paper has outlined the plethora of new credential types, uses, and modes of delivery. It also has highlighted advancements in assessment. In terms of assessment content, the progression of mastery-based assessments is a distinct departure from the traditional knowledge-based assessment approaches. New assessments are likely to enter the market, as companies see the tremendous growth of competency-based assessments that will be critical and necessary in the future ecosystem described.

Assessments are no longer just a source of grades for gradebooks. They have forged two meaningful bypass routes to seat time in higher education. In the first, competency-based education assessments gate the pace of student progress through the curriculum. In the second, certification by an exam delivers not a grade, but a degree-like credential in a relevant occupation, indicating skill and expertise. For some occupations, this exam-as-credential has already been market validated by employers’ willingness to require it, hire by it, and pay a salary premium for it.

All of these innovations are driving towards a common end. The future learning-to employment ecosystem will be heavily reliant on credentials and assessments. We see:

  • A future in which credentials will no longer be limited to degrees, but will come in varying shapes and sizes, offered by many organizations, training providers, and employers;
  • A future in which credentials will, however, be able to articulate a set of underlying “know” knowledge and “do” performance skill competencies;
  • A future in which a credential’s scope will be described by the set of competencies it covers, and measured via assessment;
  • A future in which a credential’s quality will be indicated by evidence of mastery within each competency before it is awarded;
  • A future in which quality metrics, such as consumer reviews or employer use of credentials will come into play, bringing the best and most usable credentials and assessments to the forefront.

And, finally, the future ecosystem will depend heavily on online and technology-enabled strategies and solutions. The working learner will turn away from those stringent solutions that require seat time and offer little flexibility. They will drive the market hard for innovations that will lead to consumer-facing marketplaces that allow them a “one-stop shop” approach for working, learning, and living.

The massive market of the working learner/the learning worker is here to stay. The future is that learner. Credentials and assessment will find their own strong footing to help successfully meet both the learners’ needs and the employers’ needs. We applaud this SHIFT. For, it will be an ecosystem that services many more learners than today’s education to employment system serves.

 

 

Most coherent report I have read on the erosion of degrees and the rise of assessing-for-work and amassing certifications as the competencies for the modern workplace. Jamai Blivin, of www.innovate-educate.org, and Merrilea Mayo, of Mayo Enterprises, have put in one report the history, current trends and the illogic for many people of paying for a retail bachelor’s degree when abundant certifications are beginning to prove themselves. Workforce and community colleges, this is a must-read. Kudos! 

Per Gordon Freedman on LinkedIn

 

 

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?

 

 

 
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