The Implications of Gartner’s Top 10 Tech Trends of 2018 for Education — from gettingsmart.com by Jim Goodell, Liz Glowa and Brandt Redd

Excerpt:

In October, Gartner released a report with predictions about the top tech trends for business in 2018. Gartner uses the term the intelligent digital mesh to describe “the entwining of people, devices, content and services” that will create the “foundation for the next generation of digital business models and ecosystems.” These trends are classified within three categories.

  • Intelligent: How AI is seeping into virtually every technology and with a defined, well-scoped focus can allow more dynamic, flexible and potentially autonomous systems.
  • Digital: Blending the virtual and real worlds to create an immersive digitally enhanced and connected environment.
  • Mesh: The connections between an expanding set of people, business, devices, content and services to deliver digital outcomes.

What are the implications of these trends for education?
Education often falls behind the business world in realizing the potential of new technologies. There are however a few bright spots where the timing might be right for the tech trends in the business world to have a positive impact in education sooner rather than later.

The top 10 trends according to Gartner are analyzed below for their implications for education…

1) Artificial Intelligence Foundation
2) Intelligent Apps and Analytics
3) Intelligent Things

 

 

 

Top 10 IT Issues, 2018: The Remaking of Higher Education – from er.educause.edu by Susan Grajek and the 2017–2018 Educause IT Issues Panel

2018 Top 10 IT Issues

  1. Information Security: Developing a risk-based security strategy that keeps pace with security threats and challenges
  2. Student Success: Managing the system implementations and integrations that support multiple student success initiatives
  3. Institution-wide IT Strategy: Repositioning or reinforcing the role of IT leadership as an integral strategic partner of institutional leadership in achieving institutional missions
  4. Data-enabled Institutional Culture: Using BI and analytics to inform the broad conversation and answer big questions
  5. Student-centered Institution: Understanding and advancing technology’s role in defining the student experience on campus (from applicants to alumni)
  6. Higher Education Affordability: Balancing and rightsizing IT priorities and budget to support IT-enabled institutional efficiencies and innovations in the context of institutional funding realities
  7. IT Staffing and Organizational Models: Ensuring adequate staffing capacity and staff retention in the face of retirements, new sourcing models, growing external competition, rising salaries, and the demands of technology initiatives on both IT and non-IT staff
  8. (tie) Data Management and Governance: Implementing effective institutional data governance practices
  9. (tie) Digital Integrations: Ensuring system interoperability, scalability, and extensibility, as well as data integrity, standards, and governance, across multiple applications and platforms
  10. Change Leadership: Helping institutional constituents (including the IT staff) adapt to the increasing pace of technology change

 

 

Also see:

2018 Top 10 IT Issues — from educause.edu

Excerpt:

The Remaking of Higher Education
Higher education’s biggest concerns are converging with technology’s greatest capabilities. Evidence is mounting that digital technology is a major differentiator and a key to productivity and success within higher education. The 2018 Top 10 Issues reveal the broader strategic impact of technology on the entire institution.

IT organizations will be focusing on four areas this year:

  • Institutional adaptiveness
  • IT adaptiveness
  • Improved student outcomes
  • Improved decision-making

IT organizations won’t focus on these areas alone. Leaders from across campus are invested collaborators with IT. When information technology brings strategic value, the solutions and the technologies that power them are less important than the people, processes, and culture—which make all the difference in the 2018 Top 10 IT Issues.

 

 

Also see:

Strategic IT and the 2018 Top 10 IT Issues — from er.educause.edu by John O’Brien
While those of us in campus IT organizations have long considered the topic of technology as a strategic asset, this year—the 20th anniversary of EDUCAUSE—may well mark a far broader realization of information technology as a strategic asset for higher education.

Excerpt:

Still, the landscape and strategic placement of technology has changed. IT advances are constant, not occasional, and technology on campus is ubiquitous and enterprise-critical. Meanwhile, presidents, provosts, and boards — under considerable pressure to improve student success — appreciate that technology offers some of the brightest hopes for moving this hard-to-move needle. For this reason, among others, student success became the foundational focus of the 2017 Top 10 IT Issues. And the 2016 Top 10 IT Issues stressed the degree to which information technology is an institutional differentiator when it comes to not only student success but also affordability, teaching, and research excellence.

It’s one thing, of course, to ask ourselves about the strategic nature of information technology and quite another to find evidence that those outside the IT organization are experiencing this strategic sea change. Yet in recent months we’ve seen exactly that. One example is the American College President Study 2017, from the American Council on Education (ACE). Written by and for college and university presidents, the report advises presidents to attend fully to technology, especially “using analytics functions to make better decisions and leveraging technology to scale out quality, cost-effective best practices.”

 

 

From DSC:
I appreciate the following statement — and have often reflected upon its truth:

While those of us in campus IT organizations have long considered the topic of technology as a strategic asset, this year—the 20th anniversary of EDUCAUSE—may well mark a far broader realization of information technology as a strategic asset for higher education.

 

On a separate note…while obtaining and reviewing data / analytics certainly helps, often that isn’t enough.

Steve Jobs didn’t acquire data or do focus groups before introducing the Macintosh, nor before introducing the iPod, nor before introducing the iPad, nor before introducing the iPhone. But these devices literally changed the world.

Solid vision and innovation are what really count — they bring about the real game-changers.

 

 

 

Top 10 Technology Trends for 2018: IEEE Computer Society Predicts the Future of Tech — from computer.org

Excerpts:

The top 10 technology trends predicted to reach adoption in 2018 are:

  1. Deep learning (DL)
  2. Digital currencies.
  3. Blockchain.
  4. Industrial IoT.
  5. Robotics.
  6. Assisted transportation.
  7. Assisted reality and virtual reality (AR/VR).
  8. Ethics, laws, and policies for privacy, security, and liability.
  9. Accelerators and 3D.
  10. Cybersecurity and AI.

Existing Technologies: We did not include the following technologies in our top 10 list as we assume that they have already experienced broad adoption:

A. Data science
B. “Cloudification”
C. Smart cities
D. Sustainability
E. IoT/edge computing

 

 

 


Also relevant/see:


 

 

 

eLearning: Predictions for 2018 — from news.elearninginside.com by Cait Etherington

Excerpts:

The educational technology sector grew substantially in 2017 and all signs point to even greater growth in 2018. Over the past year, the sector was buoyed by several key factors, including a growing recognition that as big data restructures work at an unprecedented pace, there is an urgent need to rethink how education is delivered. In fact, there is now growing evidence that colleges and universities, especially if they continue to operate as they have in the past, will simply not be able to produce the workers needed to fill tomorrow’s jobs. Ed tech, with its capacity to make education more affordable, flexible, and relevant, is increasingly being embraced as the answer to the Fourth Industrial Revolution’s growing talent pipeline challenges.

  • K-12 virtual schools will become a preferred choice
  • Voice-activation will transform the Learning Management System (LMS) sector
  • Data will drive learning
  • Higher ed will increase online course and program offerings

 


 

12 tech trends that will define 2018 — from businessinsider.com by Chris Weller

Excerpts:

No one can predict how the future will shake out, but we can make some educated guesses.

Global design and strategy firm frog has shared with Business Insider its forecasts for the technologies that will define the upcoming year. Last year, the firm correctly predicted that buildings would harness the power of nature and that businesses would continue using artificially-intelligent bots to run efficiently.

Get ready to step into the future.

  • Artificial intelligence will inspire how products are designed
  • Other companies will join Google in the ‘Algorithm Hall of Fame’
  • Virtual and augmented reality will become communal experiences
  • Democracy will cozy up to the blockchain
  • Augmented reality will invite questions about intellectual property
  • Consumer tech will feel even friendlier
  • Tech will become inclusive for all
  • Anonymous data will make life smarter but still private
  • Ultra-tiny robots will replace medicine for certain patients
  • The way we get around will fundamentally transform
  • Businesses will use data and machine learning to cater to customers
  • Social media will take on more corporate responsibility

 

 

 


 

 

 

 LinkedIn’s 2017 U.S. Emerging Jobs Report

 

LinkedIn’s 2017 U.S. Emerging Jobs Report — from economicgraph.linkedin.com

Excerpt:

Here’s what we found:

  • Tech is king: Jobs with the top growth potential are tech-focused, with demand coming from tech and non-tech companies alike. Machine learning engineer, data scientist, and big data engineers rank among the top emerging jobs — with companies in a wide range of industries seeking those skills.
  • Soft skills matter: Not all of the emerging tech jobs require technical skills. Sales development representative, customer success manager, and brand partner rank among the top emerging jobs at companies where a technical background is not a necessity. Traditional soft skills like communication and management underpin all of these emerging jobs.
  • Jobs with high mobility on the rise: Several top emerging jobs reflect broader societal trends, such as wellness, flexibility and location mobility. More people are getting healthy which could explain why barre instructor featured among our emerging jobs. Not quite as surprising, licensed realtors ranked highly as the post-Great Recession recovery of the real estate market rolls forward. Just in the past year, the number of licensed realtors has surged 40 percent. These type of roles tend to be more widely distributed across U.S. regions.
  • Low supply of talent for top jobs: Data scientist roles have grown over 650 percent since 2012, but currently 35,000 people in the US have data science skills, while hundreds of companies are hiring for those roles – even those you may not expect in sectors like retail and finance – supply of candidates for these roles cannot keep up with demand.
  • Future-proofing skills is critical: Some of these emerging skills didn’t even exist five years ago, and many professionals are not confident their current skill set will be relevant within the next 1-2 years.

 

top 20 fastest growing jobs in the united states

 

Software engineers are feeding into nearly all of these emerging jobs.

 

 

Even further, it’s estimated that 65% of children entering primary school today will ultimately hold jobs that don’t yet exist.

 

 

Future-proofing skills is critical: Some of these emerging skills didn’t even exist five years ago, and many professionals are not confident their current skill set will be relevant within the next 1-2 years.

 

 

 

Also see:

 

 

 

 

 

Innovating Pedagogy 2017 — from iet.open.ac.uk

Excerpt:

This series of reports explores new forms of teaching, learning and assessment for an interactive world, to guide teachers and policy makers in productive innovation. This sixth report proposes ten innovations that are already in currency but have not yet had a profound influence on education. To produce it, a group of academics at the Institute of Educational Technology in The Open University collaborated with researchers from the Learning In a NetworKed Society (LINKS) Israeli Center of Research Excellence (I-CORE). We proposed a long list of new educational terms, theories, and practices. We then pared these down to ten that have the potential to provoke major shifts in educational practice, particularly in secondary and tertiary education. Lastly, we drew on published and unpublished writings to compile the ten sketches of new pedagogies that might transform education. These are summarised below in an approximate order of immediacy and timescale to widespread implementation.

 

 

 

Google, Amazon Find Not Everyone Is Ready for AI — from wired.com by Tom Simonite

Excerpt:

Yet as Amazon and Google seek greater riches by infusing the world with artificial intelligence, they’ve started their own consulting operations, lending out some of their prized AI talent to customers. The reason: Those other businesses lack the expertise to take advantage of techniques such as machine learning.

The expertise shortage upsets the usual dynamic of the cloud market, where Amazon, Google, and others mostly compete on price and technical features. “If you’re a random manufacturing company in the midwest you may have money, but it’s hard to attract a $250,000-a-year Stanford PhD to work for you,” says Diego Oppenheimer, whose Google-backed startup provides tools that help companies deploy machine-learning software. Companies in that situation may be more swayed by an offer of help building AI, than pricing and performance, he says.

 

 

 

 

Ask About AI: The Future of Learning and Work — from gettingsmart.com by Tom Vander Ark

Excerpts:

Code that learns may prove to be the most important invention in human history. But in 2016, there was almost no discussion of the implications of artificial intelligence (AI) in K-12 education—either the immense implications for the employment landscape or the exciting potential to improve learning.

We spent two years studying the implications of AI and concluded that machine intelligence turbocharged by big data and enabling technologies like robotics is the most significant change force facing humanity. Given enormous benefits and challenges we’re just beginning to understand, we believe it is an important time to Ask About AI (#AskAboutAI).

After interviewing experts, hosting a dozen community conversations, and posting more than 50 articles we’re summarizing what we’ve learned in a new paper Ask About AI: The Future of Learning and Work.

The paper explores what’s happening in the automation economy, the civic and social implications, and how to prepare ourselves and our children for exponential change.

With this launch we’re also launching a new microsite on Future of Work.

 

 

 

 

To initiate lifelong learning, secondary schools should encourage students to be reflect on how they learn, and build habits of success. There are an increasing number of organizations interested in being lifelong learning partners for students—college alumni associations, professional schools and private marketplaces among them.

Self-directed learning is most powerfully driven by a sense of purpose. In our study of Millennial employment, Generation Do It Yourself, we learned that it is critical for young people to develop a sense of purpose before attending college to avoid the new worst-case scenario—racking up college debt and dropping out. A sense of purpose can be developed around a talent or issue, or their intersection; both can be cultivated by a robust guidance system.

We’ve been teaching digital literacy for two decades, but what’s new is that we all need to appreciate that algorithms curate every screen we see. As smart machines augment our capabilities, they will increasingly influence our perceptions, opportunities and decisions. That means that to self- and social awareness, we’ll soon need to add AI awareness.

Taken together, these skills and dispositions create a sense of agency—the ability to take ownership of learning, grow through effort and work with other people in order to do the learning you need to do.

 

 

 

 

High-Tech, High Touch: Digital Learning Report and Workbook, 2017 Edition — from Intentional Futures, with thanks to Maria Andersen on Linkedin for her posting therein which was entitled, “Spectrums to Measure Digital Learning
Excerpt (emphasis DSC):

Our work uncovered five high-tech strategies employed by institutions that have successfully implemented digital learning at scale across a range of modalities. The strategies that underscore the high-tech, high-touch connection are customizing through technology, leveraging adaptive courseware, adopting cost-efficient resources, centralizing course development and making data-driven decisions.

Although many of the institutions we studied are employing more than one of these strategies, in this report we have grouped the institutional use cases according to the strategy that has been most critical to achieving digital learning at scale. As institutional leaders make their way through this document, they should watch for strategies that target challenges similar to those they hope to solve. Reading the corresponding case studies will unpack how institutions employed these strategies effectively.

Digital learning in higher education is becoming more ubiquitous as institutions realize its ability to support student success and empower faculty. Growing diversity in student demographics has brought related changes in student needs, prompting institutions to look to technology to better serve their students. Digital courseware gives institutions the ability to build personalized, accessible and engaging content. It enables educators to provide relevant content and interventions for individual students, improve instructional techniques based on data and distribute knowledge to a wider audience (MIT Office of Digital Learning, 2017).

PARTICIPATION IN DIGITAL LEARNING IS GROWING
Nationally, the number of students engaged in digital learning is growing rapidly. One driver of this growth is rising demand for distance learning, which often relies on digital learning environments. Distance learning programs saw enrollment increases of approximately 4% between 2015 and 2016, with nearly 30% of higher education students taking at least one digital distance learning course (Allen, 2017). Much of this growth is occurring at the undergraduate level (Allen, 2017). The number of students who take distance learning courses exclusively is growing as well. Between 2012 and 2015, both public and private nonprofit institutions saw an increase in students taking only distance courses, although private, for-profit institutions have seen a decrease (Allen, 2017).

 

 

 

 

 

 

 

AI: Embracing the promises and realities — from the Allegis Group

Excerpts:

What will that future be? When it comes to jobs, the tea leaves are indecipherable as analysts grapple with emerging technologies, new fields of work, and skills that have yet to be conceived. The only certainty is
that jobs will change. Consider the conflicting predictions put forth by the analyst community:

  • According to the Organization of Economic Cooperation and Development, only 5-10% of labor would be displaced by intelligent automation, and new job creation will offset losses.  (Inserted comment from DSC: Hmmm. ONLY 5-10%!? What?! That’s huge! And don’t count on the majority of those people becoming experts in robotics, algorithms, big data, AI, etc.)
  • The World Economic Forum27 said in 2016 that 60% of children entering school today will work in jobs that do not yet exist.
  • 47% of all American job functions could be automated within 20 years, according to the Oxford Martin School on Economics in a 2013 report.
  • In 2016, a KPMG study estimated that 100 million global knowledge workers could be affected by robotic process automation by 2025.

Despite the conflicting views, most analysts agree on one thing: big change is coming. Venture Capitalist David Vandergrift has some words of advice: “Anyone not planning to retire in the next 20 years should be paying pretty close attention to what’s going on in the realm of AI. The supplanting (of jobs) will not happen overnight: the trend over the next couple of decades is going to be towards more and more automation.”30

While analysts may not agree on the timing of AI’s development in the economy, many companies are already seeing its impact on key areas of talent and business strategy. AI is replacing jobs, changing traditional roles, applying pressure on knowledge workers, creating new fields of work, and raising the demand for certain skills.

 

 

 

 

 

The emphasis on learning is a key change from previous decades and rounds of automation. Advanced AI is, or will soon be, capable of displacing a very wide range of labor, far beyond the repetitive, low-skill functions traditionally thought to be at risk from automation. In many cases, the pressure on knowledge workers has already begun.

 

 

 

 

Regardless of industry, however, AI is a real challenge to today’s way of thinking about work, value, and talent scarcity. AI will expand and eventually force many human knowledge workers to reinvent their roles to address issues that machines cannot process. At the same time, AI will create a new demand for skills to guide its growth and development. These emerging areas of expertise will likely be technical or knowledge-intensive fields. In the near term, the competition for workers in these areas may change how companies focus their talent strategies.

 

 

 

 

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