How blockchain, virtual assistants and AI are changing higher ed — from educationdive.com by Ben Unglesbee

Dive Brief:

  • In the coming years, advanced technologies like mixed reality, artificial intelligence (AI), blockchain and virtual assistants could play a bigger role at colleges and universities, according to a new report from Educause, a nonprofit focused on IT’s role in higher ed.
  • The 2019 Horizon Report, based on a panel of higher ed experts, zeroes in on trends, challenges and developments in educational technology. Challenges range from the “solvable,” such as improving digital fluency and increasing demand for digital learning experiences, to the “wicked.” The latter includes rethinking teaching and advancing digital equity.
  • The panel contemplated blockchain’s use in higher ed for the first time in the 2019 report. Specifically, the authors looked at its potential for creating alternative forms of academic records that “could follow students from one institution to another, serving as verifiable evidence of learning and enabling simpler transfer of credits across institutions.”

 

 

The finalized 2019 Horizon Report Higher Education Edition (from library.educause.edu) was just released on 4/23/19.

Excerpt:

Key Trends Accelerating Technology Adoption in Higher Education:

Short-TermDriving technology adoption in higher education for the next one to two years

  • Redesigning Learning Spaces
  • Blended Learning Designs

Mid-TermDriving technology adoption in higher education for the next three to five years

  • Advancing Cultures of Innovation
  • Growing Focus on Measuring Learning

Long-TermDriving technology adoption in higher education for five or more years

  • Rethinking How Institutions Work
  • Modularized and Disaggregated Degrees

 

 

We Built an ‘Unbelievable’ (but Legal) Facial Recognition Machine — from nytimes.com by Sahil Chinoy

“The future of human flourishing depends upon facial recognition technology being banned,” wrote Woodrow Hartzog, a professor of law and computer science at Northeastern, and Evan Selinger, a professor of philosophy at the Rochester Institute of Technology, last year. ‘Otherwise, people won’t know what it’s like to be in public without being automatically identified, profiled, and potentially exploited.’ Facial recognition is categorically different from other forms of surveillance, Mr. Hartzog said, and uniquely dangerous. Faces are hard to hide and can be observed from far away, unlike a fingerprint. Name and face databases of law-abiding citizens, like driver’s license records, already exist. And for the most part, facial recognition surveillance can be set up using cameras already on the streets.” — Sahil Chinoy; per a weekly e-newsletter from Sam DeBrule at Machine Learnings in Berkeley, CA

Excerpt:

Most people pass through some type of public space in their daily routine — sidewalks, roads, train stations. Thousands walk through Bryant Park every day. But we generally think that a detailed log of our location, and a list of the people we’re with, is private. Facial recognition, applied to the web of cameras that already exists in most cities, is a threat to that privacy.

To demonstrate how easy it is to track people without their knowledge, we collected public images of people who worked near Bryant Park (available on their employers’ websites, for the most part) and ran one day of footage through Amazon’s commercial facial recognition service. Our system detected 2,750 faces from a nine-hour period (not necessarily unique people, since a person could be captured in multiple frames). It returned several possible identifications, including one frame matched to a head shot of Richard Madonna, a professor at the SUNY College of Optometry, with an 89 percent similarity score. The total cost: about $60.

 

 

 

 

From DSC:
What do you think about this emerging technology and its potential impact on our society — and on other societies like China? Again I ask…what kind of future do we want?

As for me, my face is against the use of facial recognition technology in the United States — as I don’t trust where this could lead.

This wild, wild, west situation continues to develop. For example, note how AI and facial recognition get their foot in the door via techs installed years ago:

The cameras in Bryant Park were installed more than a decade ago so that people could see whether the lawn was open for sunbathing, for example, or check how busy the ice skating rink was in the winter. They are not intended to be a security device, according to the corporation that runs the park.

So Amazon’s use of facial recognition is but another foot in the door. 

This needs to be stopped. Now.

 

Facial recognition technology is a menace disguised as a gift. It’s an irresistible tool for oppression that’s perfectly suited for governments to display unprecedented authoritarian control and an all-out privacy-eviscerating machine.

We should keep this Trojan horse outside of the city. (source)

 
 

The Growing Profile of Non-Degree Credentials: Diving Deeper into ‘Education Credentials Come of Age’ — from evolllution.com by Sean Gallagher
Higher education is entering a “golden age” of lifelong learning and that will mean a spike in demand for credentials. If postsecondary institutions want to compete in a crowded market, they need to change fast.

Excerpts (emphasis DSC):

One of the first levels of opportunity is simply embedding the skills that are demanded in the job market into educational programs. Education certainly has its own merits independent of professional outcomes. But critics of higher education who suggest graduates aren’t prepared for the workforce have a point in terms of the opportunity for greater job market alignment, and less of an “ivory tower” mentality at many institutions. Importantly, this does not mean that there isn’t value in the liberal arts and in broader ways of thinking—problem solving, leadership, critical thinking, analysis, and writing are among the very top skills demanded by employers across all educational levels. These are foundational and independent of technical skills.

The second opportunity is building an ecosystem for better documentation and sharing of skills—in a sense what investor Ryan Craig has termed a “competency marketplace.” Employers’ reliance on college degrees as relatively blunt signals of skill and ability is partly driven by the fact that there aren’t many strong alternatives. Technology—and the growth of platforms like LinkedIn, ePortfolios and online assessments—is changing the game. One example is digital badges, which were originally often positioned as substitutes to degrees or certificates.

Instead, I believe digital badges are a supplement to degrees and we’re increasingly seeing badges—short microcredentials that discretely and digitally document competency—woven into degree programs, from the community college to the graduate degree level.

 

However, it is becoming increasingly clear that the market is demanding more “agile” and shorter-form approaches to education. Many institutions are making this a strategic priority, especially as we read the evolution of trends in the global job market and soon enter the 2020s.

Online education—which in all its forms continues to slowly and steadily grow its market share in terms of all higher ed instruction—is certainly an enabler of this vision, given what we know about pedagogy and the ability to digitally document outcomes.

 

In addition, 64 percent of the HR leaders we surveyed said that the need for ongoing lifelong learning will demand higher levels of education and more credentials in the future.

 

Along these lines of online-based collaboration and learning,
go to the 34 minute mark of this video:

 

From DSC:
The various pieces are coming together to build the next generation learning platform. Although no one has all of the pieces yet, the needs/trends/signals are definitely there.

 

Daniel Christian-- Learning from the Living Class Room

 

Addendums on 4/20/19:

 

 

Blockchain could be used by at least 50% of all companies within 3 years, Oracle exec says — from forbes.com by Monica Melton with thanks to Michael Mathews for his LinkedIn-based posting on this

Excerpt:

Ten years after the idea of blockchain was conceived, the technology that underpins cryptocurrencies is starting to be used by large enterprises as a secure way to track goods. But mass utilization is still years away, and it won’t be for every company, said a panel of blockchain executives.

“My projection is that between 50% and 60% of companies will use blockchain in the next few years,” said Frank Xiong, Oracle’s group vice president of blockchain product development at the Forbes CIO Summit in Half Moon Bay, California, Monday.

 

 

Five Principles for Thinking Like a Futurist — from er.educause.edu by Marina Gorbis

Excerpt:

In 2018 we celebrated the fifty-year anniversary of the founding of the Institute for the Future (IFTF). No other futures organization has survived for this long; we’ve actually survived our own forecasts! In these five decades we learned a lot, and we still believe—even more strongly than before—that systematic thinking about the future is absolutely essential for helping people make better choices today, whether you are an individual or a member of an educational institution or government organization. We view short-termism as the greatest threat not only to organizations but to society as a whole.

In my twenty years at the Institute, I’ve developed five core principles for futures thinking:

  • Forget about predictions.
  • Focus on signals.*
  • Look back to see forward.
  • Uncover patterns.*
  • Create a community.

 

* From DSC:
I have a follow up thought regarding those bullet points about signals and patterns. With today’s exponential pace of technological change, I have asserted for several years now that our students — and all of us really — need to be skilled in pulse-checking the relevant landscapes around us. That’s why I’m a big fan of regularly tapping into — and contributing towards — streams of content. Subscribing to RSS feeds, following organizations and/or individuals on Twitter, connecting with people on LinkedIn, etc. Doing so will help us identify trends, patterns, and the signals that Marina talks about in her article.

It reminds me of the following graphic from January 2017:

 

From DSC:
First of all, an article:

The four definitive use cases for AR and VR in retail — from forbes.com by Nikki Baird

AR in retail

Excerpt (emphasis DSC):

AR is the go-to engagement method of choice when it comes to product and category exploration. A label on a product on a shelf can only do so much to convey product and brand information, vs. AR, which can easily tap into a wealth of digital information online and bring it to life as an overlay on a product or on the label itself.

 

From DSC:
Applying this concept to the academic world…what might this mean for a student in a chemistry class who has a mobile device and/or a pair of smart goggles on and is working with an Erlenmeyer flask? A burette? A Bunsen burner?

Along these lines...what if all of those confused students — like *I* was struggling through chem lab — could see how an experiment was *supposed to be done!?*

That is, if there’s only 30 minutes of lab time left, the professor or TA could “flip a switch” to turn on the AR cloud within the laboratory space to allow those struggling students to see how to do their experiment.

I can’t tell you how many times I was just trying to get through the lab — not knowing what I was doing, and getting zero help from any professor or TA. I hardly learned a thing that stuck with me…except the names of a few devices and the abbreviations of a few chemicals. For the most part, it was a waste of money. How many students experience this as well and feel like I did?

Will the terms “blended learning” and/or “hybrid learning” take on whole new dimensions with the onset of AR, MR, and VR-related learning experiences?

#IntelligentTutoring #IntelligentSystems #LearningExperiences
#AR #VR #MR #XR #ARCloud #AssistiveTechnologies
#Chemistry #BlendedLearning #HybridLearning #DigitalLearning

 

Also see:

 

“It is conceivable that we’re going to be moving into a world without screens, a world where [glasses are] your screen. You don’t need any more form factor than [that].”

(AT&T CEO)

 

 

Check out the top 10:

1) Alphabet (Google); Internet
2) Facebook; Internet
3) Amazon; Internet
4) Salesforce; Internet
5) Deloitte; Management Consulting
6) Uber; Internet
7) Apple; Consumer Electronics
8) Airbnb; Internet
9) Oracle; Information Technology & Services
10) Dell Technologies; Information Technology & Services

 

The growing marketplace for AI ethics — from forbes.com by Forbes Insights with Intel AI

Excerpt:

As companies have raced to adopt artificial intelligence (AI) systems at scale, they have also sped through, and sometimes spun out, in the ethical obstacle course AI often presents.

AI-powered loan and credit approval processes have been marred by unforeseen bias. Same with recruiting tools. Smart speakers have secretly turned on and recorded thousands of minutes of audio of their owners.

Unfortunately, there’s no industry-standard, best-practices handbook on AI ethics for companies to follow*—at least not yet. Some large companies, including Microsoft and Google, are developing their own internal ethical frameworks.

A number of think tanks, research organizations, and advocacy groups, meanwhile, have been developing a wide variety of ethical frameworks and guidelines for AI.

 

*Insert DSC:
Read this as a very powerful, chaotic, massive WILD, WILD, WEST.  Can law schools, legislatures, governments, businesses, and more keep up with this new pace of technological change?

 

Also see:

 

Artificial intelligence seeing massive surge in education — from campustechnology.com by David Nagel

Excerpt:

Education will experience the third-largest growth of any sector, coming in slightly behind government (44.3 percent) and “personal and consumer services” (43.3 percent).

The top use cases for AI at present, based on current market share, are:

  • Automated customer service agents (12.5 percent);
  • Sales process recommendation and automation (7.6 percent);
  • Automated threat intelligence and prevention systems (7.5 percent);
  • Program advisors and recommendation systems (6.4 percent); and
  • Automated preventative maintenance, diagnosis and treatment systems (6.2 percent).

 

 

The Changing Landscape of Online Education, 2019 is now available — from qualitymatters.org

 

The Changing Landscape of Online Education, 2019 is now available from Quality Matters

 

This report is the continuation of a multi-year study by QM and Eduventures to examine the changing landscape of online education, provide results to those who can use them and help those involved with online education place their institution within a broader context and possibly influence strategic decisions and organizational changes. Please complete the form on this page to gain access to the 2019 CHLOE 3 Report.

CHLOE 3 breaks new ground in identifying a number of different institutional approaches to online learning, as crystallized in the descriptions of five models (e.g. Enterprise Schools, Community Colleges). Major themes in CHLOE 3 include a more complete picture of the growth, prevalence, and scope of the Chief Online Officer position; the emergence of online committees and councils as a component of institutional shared governance; associations between online course structure, student engagement and outcomes; and the widespread neglect of coordinated blended learning.

 

Examples/excerpts:

fully online is the priority

 

teaching and learning techniques and activities

 

 

The state of AI in the enterprise: 10 telling stats — from enterprisersproject.com by Kevin Casey
How many of your peers already use AI? What are they spending? How’s the talent market? Let’s explore the data.

Excerpt:

80 percent of project management tasks done by AI by 2030: Gartner
There are other reminders that while AI may not necessarily put all of us out of our jobs, it will definitely change many jobs. Consider this new prediction from Gartner: 80 percent of project management tasks that would typically be handled by a person today will be eliminated by AI by 2030. This will span traditional PM functions such as data collection, tracking, and reporting, Gartner predicts.

 

 

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)

 

 

 

Higher Education’s 2019 Trend Watch & Top 10 Strategic Technologies — from EDUCAUSE Center for Analysis and Research (ECAR)

Most Influential Trends

  • Growing complexity of security threats
  • Student success focus/imperatives
  • Data-driven decision-making
  • Increasing complexity of technology, architecture, and data
  • Contributions of IT to institutional operational excellence
  • Each of these trends is influential at 63% or more of colleges and universities. And, they are enduring—these are the same trends that exerted the most influence on IT strategy in 2018.

 

 
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