2018 NMC Horizon Report: The trends, challenges, and developments likely to influence ed tech

2018 NMC Horizon Report — from library.educause.edu

Excerpt:

What is on the five-year horizon for higher education institutions? Which trends and technology developments will drive educational change? What are the critical challenges and how can we strategize solutions? These questions regarding technology adoption and educational change steered the discussions of 71 experts to produce the NMC Horizon Report: 2018 Higher Education Edition brought to you by EDUCAUSE. This Horizon Report series charts the five-year impact of innovative practices and technologies for higher education across the globe. With more than 16 years of research and publications, the Horizon Project can be regarded as one of education’s longest-running explorations of emerging technology trends and uptake.

Six key trends, six significant challenges, and six developments in educational technology profiled in this higher education report are likely to impact teaching, learning, and creative inquiry in higher education. The three sections of this report constitute a reference and technology planning guide for educators, higher education leaders, administrators, policymakers, and technologists.

 

2018 NMC Horizon Report -- a glance at the trends, challenges, and developments likely to influence ed tech -- visual graphic

 

Also see:

 

 

Why higher ed should do more with blockchain tech — from by Dian Schaffhauser
Oral Roberts University recently held a conference to persuade higher education institutions that it’s time to get on board the blockchain train. Its recommendations: Learn about the technology’s potential, test it out and collaborate.

Excerpt:

As CIO Michael Mathews, the event’s organizer, explained, blockchain will be as important to transforming education as the internet was. He said he believes those colleges and universities that jump on the secure public ledger concept early enough and begin testing it out will be the ones who could see the biggest benefits.

Mathews believes blockchain will have the “biggest payback” within an organization’s processes where trust is essential as part of a “value chain”: student application processing, transcript evaluations, articulation agreements. Blockchain “templates” that run in the cloud could replace “entire cumbersome processes”…

 

 

From DSC:
It could easily be that blockchain-based technologies and processes feed into cloud/web-based learner profiles in the future. That’s one aspect of the next generation learning platform that I’m pulse checking — I call it Learning from the Living [Class] Room.

 

Blockchain could be involved with cloud/web-based learner profiles in the future

Blockchain -- something to keep on our radars in higher education

 

Also, from a while back…

Oracle to Launch Blockchain Products This Month — from investopedia.com by Shobhit Seth

Excerpt:

Tech corporations are seeing big opportunities in the blockchain space, and are now in a closely contested race to seize them sooner rather than later.

Oracle Corp. has announced that it will unveil its blockchain software later this month, reports Bloomberg. Oracle will launch its platform-as-a-service blockchain product later this month, which will be followed by launch of the decentralized ledger-based applications next month.

The Redwood City, California-based software giant is already having clients on board for its blockchain offerings. Santiago-based Banco de Chile is one of the early clients that Oracle is working with to record inter-bank transactions on a hyperledger. The world’s second-largest software company is also working with the government of Nigeria, which is aiming to document customs and import duties on a blockchain. Oracle is also hopeful of offering solutions to a large number of pharmaceutical companies to efficiently track and locate batches of drugs to help them reduce the number of recalls. Thomas Kurian, president of product development, said that Oracle’s products will be compatible with other platforms.

 

 

 

 

 

The title of this article is: Schools can not get facial recognition tech for free. Should they?

Schools can not get facial recognition tech for free. Should they? — from wired.com by Issie Lapowsky

Excerpt:

Over the past two years, RealNetworks has developed a facial recognition tool that it hopes will help schools more accurately monitor who gets past their front doors. Today, the company launched a website where school administrators can download the tool, called SAFR, for free and integrate it with their own camera systems. So far, one school in Seattle, which Glaser’s kids attend, is testing the tool and the state of Wyoming is designing a pilot program that could launch later this year. “We feel like we’re hitting something there can be a social consensus around: that using facial recognition technology to make schools safer is a good thing,” Glaser says.

 

From DSC:
Personally, I’m very uncomfortable with where facial recognition is going in some societies. What starts off being sold as being helpful for this or that application, can quickly be abused and used to control its citizens. For example, look at what’s happening in China already these days!

The above article talks about these techs being used in schools. Based upon history, I seriously question whether humankind can wisely handle the power of these types of technologies.

Here in the United States, I already sense a ton of cameras watching each of us all the time when we’re out in public spaces (such as when we are in grocery stores, or gas stations, or in restaurants or malls, etc.).  What’s the unspoken message behind those cameras?  What’s being stated by their very presence around us?

No. I don’t like the idea of facial recognition being in schools. I’m not comfortable with this direction. I can see the counter argument — that this tech could help reduce school shootings. But I think that’s a weak argument, as someone mentally unbalanced enough to be involved with a school shooting likely won’t be swayed/deterred by being on camera. In fact, one could argue that in some cases, being on the national news — with their face being plastered all over the nation — might even put gas on the fire.

 

 

Glaser, for one, welcomes federal oversight of this space. He says it’s precisely because of his views on privacy that he wants to be part of what is bound to be a long conversation about the ethical deployment of facial recognition. “This isn’t just sci-fi. This is becoming something we, as a society, have to talk about,” he says. “That means the people who care about these issues need to get involved, not just as hand-wringers but as people trying to provide solutions. If the only people who are providing facial recognition are people who don’t give a &*&% about privacy, that’s bad.”

 

 

 

The title of this article being linked here is: Inside China’s Dystopian Dreams: A.I., Shame and Lots of Cameras
Per this week’s Next e-newsletter from edsurge.com

Take the University of San Francisco, which deploys facial recognition software in its dormitories. Students still use their I.D. card to swipe in, according to Edscoop, but the face of every person who enters a dorm is scanned and run through a database, and alerts the dorm attendant when an unknown person is detected. Online students are not immune: the technology is also used in many proctoring tools for virtual classes.

The tech raises plenty of tough issues. Facial-recognition systems have been shown to misidentify young people, people of color and women more often than white men. And then there are the privacy risks: “All collected data is at risk of breach or misuse by external and internal actors, and there are many examples of misuse of law enforcement data in other contexts,” a white paper by the Electronic Frontier foundation reads.

It’s unclear whether such facial-scanners will become common at the gates of campus. But now that cost is no longer much of an issue for what used to be an idea found only in science fiction, it’s time to weigh the pros and cons of what such a system really means in practice.

 

 

Also see:

  • As facial recognition technology becomes pervasive, Microsoft (yes, Microsoft) issues a call for regulation — from techcrunch.com by Jonathan Shieber
    Excerpt:
    Technology companies have a privacy problem. They’re terribly good at invading ours and terribly negligent at protecting their own. And with the push by technologists to map, identify and index our physical as well as virtual presence with biometrics like face and fingerprint scanning, the increasing digital surveillance of our physical world is causing some of the companies that stand to benefit the most to call out to government to provide some guidelines on how they can use the incredibly powerful tools they’ve created. That’s what’s behind today’s call from Microsoft President Brad Smith for government to start thinking about how to oversee the facial recognition technology that’s now at the disposal of companies like Microsoft, Google, Apple and government security and surveillance services across the country and around the world.

 

 

 

 

Experts say we’re approaching a third wave of higher-ed reform — from ecampusnews.com by laura Ascione

Excerpt:

As the global economy changes and demands more highly-skilled workers, some experts are tracking what they call a third wave of postsecondary education reform focused on making sure graduates have career-long alignment between their education and the job market.

The new report from Jobs for the Future (JFF) and Pearson notes that a career path won’t have a single-job trajectory, but instead will require a lifetime of learning. Higher education will have to experience significant reform to create graduates equipped for such a workforce, the report’s authors claim.

 

Demand driven education and lifelong learning

 

 

To think about the future of work, first imagine a highway. 

Take Route 66 in the US, connecting Chicago to Los Angeles. Or, in the UK, the 410 miles of the A1 from London to Edinburgh. There are defined endpoints, directional signs, entrances, and exits. Millions reach their destinations via these roads. Route 66 and the A1 were fit for purpose.

Traditional routes to employment have functioned much like these roads. Conventional credentials, university degrees, and vocational training have offered defined entrances and exits for individuals looking for jobs that lead to careers. But the world of work is changing fast. The future of work will require a more flexible, dynamic, and equitable system of preparation. A map of this system may look less like a highway and more like the iconic web of circles and intersections of the London Underground.

This report, Demand-Driven Education, concludes that we are on the cusp of a new wave of postsecondary education reform. The first wave focused on access — getting more people to enter higher education. The second wave focused on improving academic success — getting more students to earn certificates and degrees. These waves served as the traditional highways to employment.

Now marks the transition to a third wave — which we call “demand driven education” — where programs focus more strongly than ever on ensuring graduates are job-ready and have access to rewarding careers over the course of their lifetimes. Demand-driven education adapts to the needs of the learner and the employer. It responds to signals from society to ensure alignment between desired qualifications and available training.

This wave represents the convergence of the worlds of education and work, creating new intersections, pathways, and possibilities for advancement. Much like the London Underground connecting its 32 boroughs via line, train, and bus, this new wave enables learners to take multiple routes throughout their lives to multiple destinations.

 

 

 

 

State of AI — from stateof.ai

Excerpt:

In this report, we set out to capture a snapshot of the exponential progress in AI with a focus on developments in the past 12 months. Consider this report as a compilation of the most interesting things we’ve seen that seeks to trigger informed conversation about the state of AI and its implication for the future.

We consider the following key dimensions in our report:

  • Research: Technology breakthroughs and their capabilities.
  • Talent: Supply, demand and concentration of talent working in the field.
  • Industry: Large platforms, financings and areas of application for AI-driven innovation today and tomorrow.
  • Politics: Public opinion of AI, economic implications and the emerging geopolitics of AI.

 

definitions of terms involved in AI

definitions of terms involved in AI

 

hard to say how AI is impacting jobs yet -- but here are 2 perspectives

 

 

There’s nothing artificial about how AI is changing the workplace — from forbes.com by Eric Yuan

Excerpt:

As I write this, AI has already begun to make video meetings even better. You no longer have to spend time entering codes or clicking buttons to launch a meeting. Instead, with voice-based AI, video conference users can start, join or end a meeting by simply speaking a command (think about how you interact with Alexa).

Voice-to-text transcription, another artificial intelligence feature offered by Otter Voice Meeting Notes (from AISense, a Zoom partner), Voicefox and others, can take notes during video meetings, leaving you and your team free to concentrate on what’s being said or shown. AI-based voice-to-text transcription can identify each speaker in the meeting and save you time by letting you skim the transcript, search and analyze it for certain meeting segments or words, then jump to those mentions in the script. Over 65% of respondents from the Zoom survey said they think AI will save them at least one hour a week of busy work, with many claiming it will save them one to five hours a week.

 

 

 

AI can now ‘listen’ to machines to tell if they’re breaking down — from by Rebecca Campbell

Excerpt:

Sound is everywhere, even when you can’t hear it.

It is this noiseless sound, though, that says a lot about how machines function.

Helsinki-based Noiseless Acoustics and Amsterdam-based OneWatt are relying on artificial intelligence (AI) to better understand the sound patterns of troubled machines. Through AI they are enabling faster and easier problem detection.

 

Making sound visible even when it can’t be heard. With the aid of non-invasive sensors, machine learning algorithms, and predictive maintenance solutions, failing components can be recognized at an early stage before they become a major issue.

 

 

 

Chinese university uses facial recognition for campus entry — from cr80news.com by Andrew Hudson

Excerpt:

A number of higher education institutions in China have deployed biometric solutions for access and payments in recent months, and adding to the list is Peking University. The university has now installed facial recognition readers at perimeter access gates to control access to its Beijing campus.

As reported by the South China Morning Post, anyone attempting to enter through the southwestern gate of the university will no longer have to provide a student ID card. Starting this month, students will present their faces to a camera as part of a trial run of the system ahead of full-scale deployment.

From DSC:
I’m not sure I like this one at all — and the direction that this is going in. 

 

 

 

Will We Use Big Data to Solve Big Problems? Why Emerging Technology is at a Crossroads — from blog.hubspot.com by Justin Lee

Excerpt:

How can we get smarter about machine learning?
As I said earlier, we’ve reached an important crossroads. Will we use new technologies to improve life for everyone, or to fuel the agendas of powerful people and organizations?

I certainly hope it’s the former. Few of us will run for president or lead a social media empire, but we can all help to move the needle.

Consume information with a critical eye.
Most people won’t stop using Facebook, Google, or social media platforms, so proceed with a healthy dose of skepticism. Remember that the internet can never be objective. Ask questions and come to your own conclusions.

Get your headlines from professional journalists.
Seek credible outlets for news about local, national and world events. I rely on the New York Times and the Wall Street Journal. You can pick your own sources, but don’t trust that the “article” your Aunt Marge just posted on Facebook is legit.

 

 

 

 

How blockbuster MOOCs could shape the future of teaching — from edsurge.com by Jeff Young

Excerpt:

There isn’t a New York Times bestseller list for online courses, but perhaps there should be. After all, so-called MOOCs, or massive open online courses, were meant to open education to as many learners as possible, and in many ways they are more like books (digital ones, packed with videos and interactive quizzes) than courses.

The colleges and companies offering MOOCs can be pretty guarded these days about releasing specific numbers on how many people enroll or pay for a “verified certificate” or microcredential showing they took the course. But both Coursera and EdX, two of the largest providers, do release lists of their most popular courses. And those lists offer a telling snapshot of how MOOCs are evolving and what their impact is on the instructors and institutions offering them.

Here are the top 10 most popular courses for each provider:

 

Coursera Top 10 Most Popular Courses (over past 12 months)

 

edX Top 10 Most Popular Courses (all time)

 

 

So what are these blockbuster MOOCs, then? Experiential textbooks? Gateways to more rigorous college courses? A new kind of entertainment program?

Maybe the answer is: all of the above.

 

 

 

Reimagining the Higher Education Ecosystem — from edu2030.agorize.com
How might we empower people to design their own learning journeys so they can lead purposeful and economically stable lives?

Excerpts:

The problem
Technology is rapidly transforming the way we live, learn, and work. Entirely new jobs are emerging as others are lost to automation. People are living longer, yet switching jobs more often. These dramatic shifts call for a reimagining of the way we prepare for work and life—specifically, how we learn new skills and adapt to a changing economic landscape.

The changes ahead are likely to hurt most those who can least afford to manage them: low-income and first generation learners already ill-served by our existing postsecondary education system. Our current system stifles economic mobility and widens income and achievement gaps; we must act now to ensure that we have an educational ecosystem flexible and fair enough to help all people live purposeful and economically stable lives. And if we are to design solutions proportionate to this problem, new technologies must be called on to scale approaches that reach the millions of vulnerable people across the country.

 

The challenge
How might we empower people to design their own learning journeys so they can lead purposeful and economically stable lives?

The Challenge—Reimagining the Higher Education Ecosystem—seeks bold ideas for how our postsecondary education system could be reimagined to foster equity and encourage learner agency and resilience. We seek specific pilots to move us toward a future in which all learners can achieve economic stability and lead purposeful lives. This Challenge invites participants to articulate a vision and then design pilot projects for a future ecosystem that has the following characteristics:

Expands access: The educational system must ensure that all people—including low-income learners who are disproportionately underserved by the current higher education system—can leverage education to live meaningful and economically stable lives.

Draws on a broad postsecondary ecosystem: While college and universities play a vital role in educating students, there is a much larger ecosystem in which students learn. This ecosystem includes non-traditional “classes” or alternative learning providers, such as MOOCs, bootcamps, and online courses as well as on-the-job training and informal learning. Our future learning system must value the learning that happens in many different environments and enable seamless transitions between learning, work, and life.

 

From DSC:
This is where I could see a vision similar to Learning from the Living [Class] Room come into play. It would provide a highly affordable, accessible platform, that would offer more choice, and more control to learners of all ages. It would be available 24×7 and would be a platform that supports lifelong learning. It would combine a variety of AI-enabled functionalities with human expertise, teaching, training, motivation, and creativity.

It could be that what comes out of this challenge will lay the groundwork for a future, massive new learning platform.

 

The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV

 

Also see:

 

Skill shift: Automation and the future of the workforce — from mckinsey.com by Jacques Bughin, Eric Hazan, Susan Lund, Peter Dahlström, Anna Wiesinger, and Amresh Subramaniam
Demand for technological, social and emotional, and higher cognitive skills will rise by 2030. How will workers and organizations adapt?

Excerpt:

Skill shifts have accompanied the introduction of new technologies in the workplace since at least the Industrial Revolution, but adoption of automation and artificial intelligence (AI) will mark an acceleration over the shifts of even the recent past. The need for some skills, such as technological as well as social and emotional skills, will rise, even as the demand for others, including physical and manual skills, will fall. These changes will require workers everywhere to deepen their existing skill sets or acquire new ones. Companies, too, will need to rethink how work is organized within their organizations.

This briefing, part of our ongoing research on the impact of technology on the economy, business, and society, quantifies time spent on 25 core workplace skills today and in the future for five European countries—France, Germany, Italy, Spain, and the United Kingdom—and the United States and examines the implications of those shifts.

Topics include:
How will demand for workforce skills change with automation?
Shifting skill requirements in five sectors
How will organizations adapt?
Building the workforce of the future

 

 

Microsoft’s meeting room of the future is wild — from theverge.com by Tom Warren
Transcription, translation, and identification

Excerpts:

Microsoft just demonstrated a meeting room of the future at the company’s Build developer conference.

It all starts with a 360-degree camera and microphone array that can detect anyone in a meeting room, greet them, and even transcribe exactly what they say in a meeting regardless of language.

Microsoft takes the meeting room scenario even further, though. The company is using its artificial intelligence tools to then act on what meeting participants say.

 

 

From DSC:
Whoa! Many things to think about here. Consider the possibilities for global/blended/online-based learning (including MOOCs) with technologies associated with translation, transcription, and identification.

 

 

Educause Releases 2018 Horizon Report Preview — from campustechnology.com by Rhea Kelly

Excerpt:

After acquiring the rights to the New Media Consortium’s Horizon project earlier this year, Educause has now published a preview of the 2018 Higher Education Edition of the Horizon Report — research that was in progress at the time of NMC’s sudden dissolution. The report covers the key technology trends, challenges and developments expected to impact higher ed in the short-, mid- and long-term future.

 

Also see:

 

 

 

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