FutureDigitalLearningDede-Adobe-April2015

 

From DSC:
Chris uses ecoMOBILE and ecoMUVE to highlight the powerful partnerships that can exist between tools and teachers — to the benefits of the students, who can enjoy personalized learning that they can interact with.  Pedagogical approaches such as active learning are discussed and methods of implementing active learning are touched upon.

Chris pointed out the National Research Council’s book from 2012 entitled, “Education for Life and Work: Developing Transferable Knowledge & Skills in the 21st Century” as he spoke about the need for all of us to be engaged in lifelong learning (Chris uses the term “life-wide” learning).

Also, as Chris mentioned, we often teach as we were taught…so we need communities that are able to UNlearn as well as to learn.

 

 

ecomobile-april2015

 

Also see:

 

AdobeCreate-YouTubeChannel

 

 

Certifying skills and knowledge: Four scenarios on the future of credentials — from knowledgeworks.org by Jason Swanson

Excerpts:

Disruptions to the education system and employment sector are changing what it means to acquire knowledge and skills. Fundamental changes in how we educate learners promise to change how we credential learning. In turn, changes to the way we work could alter the value placed on credentials and how individuals earn them.

This paper considers trends in the education and employment sectors to explore four possible scenarios reflecting how credentials might reflect individuals’ knowledge and skills in ten years’ time.

Exploring the Future of Credentials
In order to explore what credentials might look like in ten years, this paper considers four scenarios for the future of credentials:

A baseline future, “All Roads Lead to Rome,” imagines a future in which degrees awarded by the K-12 and post-secondary sectors still serve as the dominant form of credentials, but there are many roads toward gaining those credentials, such as diverse
forms of school and educational assessments.

An alternative future, “The Dam Breaks,” explores a future in which the employment sector accepts new forms of credentials, such as micro-credentials, on a standalone basis, leading to major shifts in both the K-12 and post-secondary sectors and new relationships between the academic and working worlds.

 

TheDamBreaksScenario-SwansonApril2015

 

A second alternative future, “Every Experience a Credential,” considers what credentials might look like if new technologies enabled every experience to be tracked and catalogued as a form of credential for both students and employees.

A wild card scenario, “My Mind Mapped,” imagines a future in which breakthroughs in both the mapping and tracking of brain functions have created a new type of credential reflecting students’ cognitive abilities and social and emotional skills.

Each scenario in this paper reflects different drivers of change and a different set of fundamental assumptions about how changes affecting credentials might play out across the K-12, post-secondary, and employment sectors.

 

 

From DSC:
I appreciate Jason’s futurist approach here and his use of scenarios. Such an approach helps stimulate our thinking about the potential “What if’s” that could occur — and if they did occur, what would our game plan be for addressing each one of these scenarios?

 

————-

 

A related addendum on 4/24/15:

 

Excerpt:

If you were an academic institution, you might feel a little bit threatened. Over 60% of organisations now believe that the crown jewel of traditional educators – certifications and diplomas – is about to be dethroned by a new uprising: Digital Badges. That’s the finding of research by Extreme Networks on the current adoption of Digital Badges and prospects for the future.

 

13 new trends in Big Data and Data Science — from bigdatanews.com by Mike Beneth

Excerpt:

  1. The rise of data plumbing, to make big data run smoothly, safely, reliably, and fast through all “data pipes” (Internet, Intranet, in-memory, local servers, cloud, Hadoop clusters etc.), optimizing redundancy, load balance, data caching, data storage, data compression, signal extraction, data summarization and more. We bought the domain name DataPlumbing.com last week.
  2. The rise of the data plumber, system architect, and system analyst (a new breed of engineers and data scientists), a direct result of the rise of data plumbing
  3. Use of data science in unusual fields such as astrophysics, and the other way around (data science integrating techniques from these fields)
  4. The death of the fake data scientist.

 

Top online engineering school responds to industry appetite for data science, energy, and cloud expertise — from prnewswire.com
NYU School of Engineering’s 3-course immersion offerings bridge technology skills gap

Excerpt:

NEW YORK, April 16, 2015 /PRNewswire-USNewswire/ — Fortune 500 companies looking to move the talent needle forward are now able to send employees through online certificate courses in data science, power engineering, and data center and cloud technologies. The NYU Polytechnic School of Engineering’s online learning unit has launched certificates of completion in these new three-course immersion programs.

The new Data Science certificate includes three courses in big data analysis, machine learning, and principles of database systems, with substitutions allowed for visualization or cloud computing courses. “Organizations are drowning in data but starving for insights,” said Professor Nasir Memon, chair of the Computer Science and Engineering Department. “The Data Science certificate provides coursework immediately applicable to data scientists working on complex data problems.”

 

 

 

     

 

 

 

 

 

 

For marketers every tech trend hinges on big data and analytics — from forbes.com by Daniel Newman

Excerpt:

But as we talk incessantly about new technologies, we may overlook the fact that it isn’t really technology that’s driving this revolution, but the data and the insights these technologies create. With this data we are able to better understand what interests people and motivates them to engage with a brand and buy their products, and we can also use this data to innovate products that are a perfect fit for our target audience. Let’s discuss how data and analytics underlie the true value of the technology we are so obsessed with.

 

3 big data science trends that will change business software — from diginomica.com by Phil Wainewright
The appliance of big data science to enterprise applications and data is driving rapid innovation in the business software market. Watch these three trends. 

 

From DSC:
Are we developing our students to be able to ride these waves?

 

 

Also see:

 

New from Educause:
Higher Ed IT Buyers Guide

 

HEITBuyersGuideEducauseApril2015

 

Excerpt:

Quickly search 50+ product and service categories, access thousands of IT solutions specific to the higher ed community, and send multiple RFPs—all in one place. This new Buyers Guide provides a central, go-to online resource for supporting your key purchasing decisions as they relate to your campus’s strategic IT initiatives.

Find the Right Vendors for Higher Education’s Top Strategic Technologies

Three of the Top 10 Strategic Technologies identified by the higher education community this year are mobile computing, business intelligence, and business performance analytics.* The new Buyers Guide connects you to many of the IT vendors your campus can partner with in the following categories related to these leading technologies, as well as many more.

View all 50+ product and service categories.

 

What does ‘learning’ have to learn from Netflix? — from donaldclarkplanb.blogspot.com by Donald Clark

Excerpts:

Of course, young people are watching way less TV these days, TV is dying, and when they do watch stuff, it’s streamed, at a time that suits them. Education has to learn from this. I’m not saying that we need to replace all of our existing structures but moving towards understanding what the technology can deliver and what learners want (they shape each other) is worth investigation. Hence some reflections on Netflix.

Areas discussed:

  • Timeshifting
  • Data driven delivery — Netflix’ recommendations engine
  • Data driven content
  • Content that’s accessible via multiple kinds of devices
  • Going global

 

From DSC:
I just wanted to add a few thoughts here:

  1. The areas of micro-credentials, nano-degrees, services like stackup.net, big data, etc. may come to play a role with what Donald is talking about here.
  2. I appreciate Donald’s solid, insightful perspectives and his thinking out loud — some great thoughts in that posting (as usual)
  3. Various technologies seem to be making progress as we move towards a future where learning platforms will be able to deliver a personalized learning experience; as digital learning playlists and educationally-related recommendation engines become more available/sophisticated, highly-customized learning experiences should be within reach.
  4. At a recent Next Generation Learning Spaces Conference, one of the speakers stated, “People are control freaks — so let them have more control.”  Along these lines…ultimately, what makes this vision powerful is having more choice, more control.

 

 

MoreChoiceMoreControl-DSC

 

 

 

Also, some other graphics come to my mind:

 

MakingTVMorePersonal-V-NetTV-April2014

 

EducationServiceOfTheFutureApril2014

 

 

 

Part 3: Google Search will be your next brain — from medium.com by Steven Levy
Inside Google’s massive effort in Deep Learning, which could make already-smart search into scary-smart search

Excerpt:

But about ten years ago, in Hinton’s lab at the University of Toronto, he and some other researchers made a breakthrough that suddenly made neural nets the hottest thing in AI. Not only Google but other companies such as Facebook, Microsoft and IBM began frantically pursuing the relatively minuscule number of computer scientists versed in the black art of organizing several layers of artificial neurons so that the entire system could be trained, or even train itself, to divine coherence from random inputs, much in a way that a newborn learns to organize the data pouring into his or her virgin senses. With this newly effective process, dubbed Deep Learning, some of the long-standing logjams of computation (like being able to see, hear, and be unbeatable at Breakout) would finally be untangled. The age of intelligent computers systems?—?long awaited and long feared?—?would suddenly be breathing down our necks. And Google search would work a whole lot better.

This breakthrough will be crucial in Google Search’s next big step: understanding the real world to make a huge leap in accurately giving users the answers to their questions as well as spontaneously surfacing information to satisfy their needs. To keep search vital, Google must get even smarter.

This is very much in character for the Internet giant. From its earliest days, the company’s founders have been explicit that Google is an artificial intelligence company. It uses its AI not just in search?—?though its search engine is positively drenched with artificial intelligence techniques?—?but in its advertising systems, its self-driving cars, and its plans to put nanoparticles in the human bloodstream for early disease detection.

Indeed, as of now, all Google’s deep learning work has yet to make a big mark on Google search or other products. But that’s about to change.

 

Also see the other parts in this series:

Part 1: The never ending search

Excerpt:

Google’s flagship product has been part of our lives for so long that we take it for granted. But Google doesn’t. Part One of a study of Search’s quiet transformation.

 

Part 2: How Google knows what you want to know
Eight times a day Google asks test subjects about their information needs. Their replies can be sobering.

Excerpt:

Google search really isn’t threatened by competition from other search engines. But the people on the search team constantly worry that they may be falling short in satisfying the needs of their users. To address that problem, of course, Google needs to know what those needs are. One way to do this is by examining the logs to see what queries are unsatisfied. But there are lots of things people want to know that they aren’t asking Google about.

How does Google know what those needs are?

It asks them.

Every year since 2011 Google has run an annual study to learn what people really, really want to know, whether it’s something Google provides or not. It’s called Daily Information Needs, but the psychologists at Google involved with the project just call it DIN.

 

Part 4: The Deep Mind of Demis Hassabis — from medium.com by Steven Levy
Google’s prize AI prodigy tells all. In the race to recruit the best AI talent, Google scored a coup by getting the team led by a former video game guru and chess prodigy

Excerpt:

From the day in 2011 that Demis Hassabis co-founded DeepMind—with funding by the likes of Elon Musk—the UK-based artificial intelligence startup became the most coveted target of major tech companies. In June 2014, Hassabis and his co-founders, Shane Legg and Mustafa Suleyman, agreed to Google’s purchase offer of $400 million. Late last year, Hassabis sat down with Backchannel to discuss why his team went with Google—and why DeepMind is uniquely poised to push the frontiers of AI. The interview has been edited for length and clarity.

 

 

 

Addendum on 3/16/15:

 

DeepLearning-Moz-March2015

 

 

Cognitoy-ElementalPath-March2015
CognitoyFramed-March2015

 

 

From DSC:
Given the above…what are the ramifications of that in our/your work?

 

 

Also see:

 

 

A related addendum on 3/11/15
Look at the different expectations of the generations found in this article:

 

A related addendum on 3/17/15:

Excerpt:
The overall goal for DragonBot (which, as far as I can tell, is a common platform used for many different projects) is to develop “personalized learning companions” for children. In other words, MIT is finding ways in which robots like DragonBot can effectively help kids learn.

DragonBot isn’t intended to work like that IBM Watson-based dinosaur robot; it’s not a primary source of knowledge, and it’s not actively teaching a whole bunch of new facts to kids who use it. Rather, DragonBot is intended to help with the process of learning itself, encouraging kids to be interactively engaged in whatever they happen to be learning about.

 

 

Technology predictions for the second half of the decade — from techcrunch.com by Lance Smith

Excerpts:

  • Big Data and IoT evolve into automated information sharing
  • Self-driving vehicles become mainstream
  • The appearance of artificial intelligent assistants
  • Real-time agility through data virtualization

 

 

EdTech trends for the coming years — from edtechreview.in

Excerpts:

EdTech is about to explode. The coming technology and the new trends on the rise can’t but forecast an extensive technology adoption in schools all around the globe.

Specific apps, systems, codable gadgets and the adaptation of general use elements to the school environment are engaging teachers and opening up the way to new pedagogical approaches. And while we are scratching the surface of some of them, others have just started to buzz persistently.

  • Wearables + Nano/Micro Technology + the Internet of Things
  • 3D + 4D printing
  • Big Data + Data Mining
  • Mobile Learning
  • Coding
  • Artificial Intelligence + Deep Learning
    • Adaptative learning: based on a student’s behaviour and results, an intelligent assistant can predict and readapt the learning path to those necessities. Combined with biometrics and the ubiquitous persona (explained below) a student could have the best experience ever.
    • Automatic courses on the fly, with contents collected by intelligent searching systems (data mining).
    • Virtual tutors.
  • The Ubiquitous Persona + Gamification + Social Media Learning
  • Specialised Staff in Schools

 

 

Phones and wearables will spur tenfold growth in wireless data by 2019 — from recode.net

Excerpts:

Persistent growth in the use of smartphones, plus the adoption of wireless wearable devices, will cause the total amount of global wireless data traffic to rise by 10 times its current levels by 2019, according to a forecast by networking giant Cisco Systems out [on 2/3/15].

The forecast, which Cisco calls its Visual Networking Index, is based in part on the growth of wireless traffic during 2014, which Cisco says reached 30 exabytes, the equivalent of 30 billion gigabytes. If growth patterns remain consistent, Cisco’s analysts reckon, the wireless portion of traffic crossing the global Internet will reach 292 exabytes by the close of the decade.

 

 

9 ed tech trends to watch in 2015 — from the Jan/Feb edition of Campus Technology Magazine

  1. Learning spaces
  2. Badges
  3. Gamification
  4. Analytics
  5. 3D Printing
  6. Openness
  7. Digital
  8. Consumerization
  9. Adaptive & Personalized Learning

 

 

 

Even though I’ve mentioned it before, I’ll mention it again here because it fits the theme of this posting:

NMC Horizon Report > 2015 Higher Education Edition — from nmc.org

Excerpt:

What is on the five-year horizon for higher education institutions? Which trends and technologies will drive educational change? What are the challenges that we consider as solvable or difficult to overcome, and how can we strategize effective solutions? These questions and similar inquiries regarding technology adoption and educational change steered the collaborative research and discussions of a body of 56 experts to produce the NMC Horizon Report: 2015 Higher Education Edition, in partnership with the EDUCAUSE Learning Initiative (ELI). The NMC Horizon Report series charts the five-year horizon for the impact of emerging technologies in learning communities across the globe. With more than 13 years of research and publications, it can be regarded as the world’s longest-running exploration of emerging technology trends and uptake in education.

 

 



From DSC:
Speaking of trends…although this item isn’t necessarily technology related, I’m going to include it here anyway:

Career trends students should be watching in 2015 — from hackcollege.com by

Excerpt:

Students Need to Pay Attention to Broader Trends, and Get Ready.
For better or worse, the post-college world is changing.

According to a variety of analysis sites, including Forbes, Time, and Bing Predicts, more and more of the workforce will be impacted by increased entrepreneurship, freelancing, work-from-home trends, and non-traditional career paths.

These experts are saying that hiring practices will shift, meaning that students need to prepare LinkedIn profiles, online portfolio, work at internships, and to network to build relationships with potential future employers.

———-

 

Addendum on 3/6/15:
Self-driving car technology could end up in robots — from pcworld.com by Fred O’Connor

Excerpt:

The development of self-driving cars could spur advancements in robotics and cause other ripple effects, potentially benefitting society in a variety of ways.

Autonomous cars as well as robots rely on artificial intelligence, image recognition, GPS and processors, among other technologies, notes a report from consulting firm McKinsey. Some of the hardware used in self-driving cars could find its way into robots, lowering production costs and the price for consumers.

Self-driving cars could also help people grow accustomed to other machines, like robots, that can complete tasks without the need for human intervention.

Addendum on 3/6/15:

  • Top 5 Emerging Technologies In 2015 — from wtvox.com
    Excerpt:
    1) Robotics 2.0
    2) Neuromorphic Engineering
    3) Intelligent Nanobots – Drones
    4) 3D Printing
    5) Precision Medicine
 

Adaptivity Tops Gartner’s Strategic Tech List for Ed — from campustechnology.com by Dian Schaffhauser

Excerpt:

Even as education spending is projected to inch up two percent this year to reach $67.8 billion worldwide, the way in which school districts, colleges and universities are spending that money is evolving to reflect the growing digital nature of teaching and learning, according to Gartner. In a new report, “Top 10 Strategic Technologies Impacting Education in 2015,” the business IT consulting firm ranked 10 innovations and tech trends that it believes the education CIO should plan for in 2015.

Many of the technologies aren’t emerging from within education itself, said Gartner Vice President Jan-Martin Lowendahl. They’re being “driven by major forces such as digital business and the consumerization and industrialization of IT.”

1. Adaptive Learning
2. Adaptive Digital Textbooks
3. CRM
4. Big Data
5. and 6. Sourcing Strategies and ‘Exostructure’
7. Open ‘Microcredentials’
8. Digital Assessment
9. Mobile
10. Social Learning

 

Can technology identify China’s top graduates? — from bbc.com by John Sudworth, Shanghai

Excerpts (emphasis DSC):

Has the humble CV finally met its match?

[L’Oreal] has chosen the world’s biggest jobs market – China – to utter two words that would be music to the ears of beleaguered recruitment executives everywhere: “Goodbye CV”. This year, the 33,000 applicants for the 70 places on the company’s Chinese graduate recruitment scheme have been asked to save themselves the paper, the printer ink and the pain. Instead, they were asked to answer three simple questions via their smartphones.

We have developed algorithms that can take the words that people use and derive context from them,” said Robin Young, the founder of Seedlink Tech.

Here’s how it works: students use their mobile phones to access L’Oreal’s website which prompts them to answer three open-ended questions.

The answers, which have to be at least 75 words long, are automatically fed into Seedlink’s database and the software gets to work. It analyses the language used and compares each candidate’s answers with the many thousands of others. Then, supposedly calibrated to mine for the specific personality traits that L’Oreal is looking for, it produces a ranking with, in theory, the person most suited for a career at L’Oreal at the top.

 

Excerpt from the March 1, 2015 edition of CIO Magazine (emphasis DSC):

The almighty algorithm is the fuel for today’s data-driven businesses. They stoke the data engines that recommend purchases, trade stocks, predict crime, spot medical conditions, monitor sleep apnea, find dating partners, calculate driving routes and so much more. “These math equations,” writes Managing Editor Kim S. Nash, “may someday run our lives.”

In the wrong application, they may someday ruin lives, as well.

The fascinating story that Nash unearthed will show you exactly why CIOs need to develop what one expert called “algorithmic accountability.”

 

My thanks to Mary Grush at Campus Technology for her continued work in bringing relevant topics and discussions to light — so that our institutions of higher education will continue delivering on their missions well into the future. By doing so, learners will be able to continue to partake of the benefits of attending such institutions. But in order to do so, we must adapt, be responsive, and be willing to experiment. Towards that end, this Q&A with Mary relays some of my thoughts on the need to move more towards a team-based approach.

When you think about it, we need teams whether we’re talking about online learning, hybrid learning or face-to-face learning. In fact, I just came back from an excellent Next Generation Learning Space Conference and it was never so evident to me that you need a team of specialists to design the Next Generation Learning Space and to design/implement pedagogies that take advantage of the new affordances being offered by active learning environments.

 

DanielSChristian-CampusTechologyMagazine-2-24-15

 

DanielSChristian-CampusTechologyMagazine2-2-24-15

 

 

 

MITTechReview-10Breakthroughs-2015

 

 

Excerpt:

Not all breakthroughs are created equal. Some arrive more or less as usable things; others mainly set the stage for innovations that emerge later, and we have to estimate when that will be. But we’d bet that every one of the milestones on this list will be worth following in the coming years.

 

 

MITTechReview-2015-magic-leap

 

 

 

From DSC:
To set the stage for the following reflections…first, an excerpt from
Climate researcher claims CIA asked about weaponized weather: What could go wrong? — from computerworld.com (emphasis DSC)

We’re not talking about chemtrails, HAARP (High Frequency Active Auroral Research Program) or other weather warfare that has been featured in science fiction movies; the concerns were raised not a conspiracy theorist, but by climate scientist, geoengineering specialist and Rutgers University Professor Alan Robock. He “called on secretive government agencies to be open about their interest in radical work that explores how to alter the world’s climate.” If emerging climate-altering technologies can effectively alter the weather, Robock is “worried about who would control such climate-altering technologies.”

 

Exactly what I’ve been reflecting on recently.

***Who*** is designing, developing, and using the powerful technologies that are coming into play these days and ***for what purposes?***

Do these individuals care about other people?  Or are they much more motivated by profit or power?

Given the increasingly potent technologies available today, we need people who care about other people. 

Let me explain where I’m coming from here…

I see technologies as tools.  For example, a pencil is a technology. On the positive side of things, it can be used to write or draw something. On the negative side of things, it could be used as a weapon to stab someone.  It depends upon the user of the pencil and what their intentions are.

Let’s look at some far more powerful — and troublesome — examples.

 



DRONES

Drones could be useful…or they could be incredibly dangerous. Again, it depends on who is developing/programming them and for what purpose(s).  Consider the posting from B.J. Murphy below (BTW, nothing positive or negative is meant by linking to this item, per se).

DARPA’s Insect and Bird Drones Are On Their Way — from proactiontranshuman.wordpress.com by B.J. Murphy

.

Insect drone

From DSC:
I say this is an illustrative posting because if the inventor/programmer of this sort of drone wanted to poison someone, they surely could do so. I’m not even sure that this drone exists or not; it doesn’t matter, as we’re quickly heading that way anyway.  So potentially, this kind of thing is very scary stuff.

We need people who care about other people.

Or see:
Five useful ideas from the World Cup of Drones — from  dezeen.com
The article mentions some beneficial purposes of drones, such as for search and rescue missions or for assessing water quality.  Some positive intentions, to be sure.

But again, it doesn’t take too much thought to come up with some rather frightening counter-examples.
 

 

GENE-RELATED RESEARCH

Or another example re: gene research/applications; an excerpt from:

Turning On Genes, Systematically, with CRISPR/Cas9 — from by genengnews.com
Scientists based at MIT assert that they can reliably turn on any gene of their choosing in living cells.

Excerpt:

It was also suggested that large-scale screens such as the one demonstrated in the current study could help researchers discover new cancer drugs that prevent tumors from becoming resistant.

From DSC:
Sounds like there could be some excellent, useful, positive uses for this technology.  But who is to say which genes should be turned on and under what circumstances? In the wrong hands, there could be some dangerous uses involved in such concepts as well.  Again, it goes back to those involved with designing, developing, selling, using these technologies and services.

 

ROBOTICS

Will robots be used for positive or negative applications?

The mechanized future of warfare — from theweek.com
OR
Atlas Unplugged: The six-foot-two humanoid robot that might just save your life — from zdnet.com
Summary:From the people who brought you the internet, the latest version of the Atlas robot will be used in its disaster-fighting robotic challenge.

 

atlasunpluggedtorso

 

AUTONOMOUS CARS

How Uber’s autonomous cars will destroy 10 million jobs and reshape the economy by 2025 — from sanfrancisco.cbslocal.com by

Excerpt:

Autonomous cars will be commonplace by 2025 and have a near monopoly by 2030, and the sweeping change they bring will eclipse every other innovation our society has experienced. They will cause unprecedented job loss and a fundamental restructuring of our economy, solve large portions of our environmental problems, prevent tens of thousands of deaths per year, save millions of hours with increased productivity, and create entire new industries that we cannot even imagine from our current vantage point.

One can see the potential for good and for bad from the above excerpt alone.

Or Ford developing cross country automotive remote control — from spectrum.ieee.org

 

Ford-RemoteCtrl-Feb-2015

Or Germany has approved the use of self driving cars on Autobahn A9 Route — from wtvox.com

While the above items list mostly positive elements, there are those who fear that autonomous cars could be used by terrorists. That is, could a terrorist organization make some adjustments to such self-driving cars and load them up with explosives, then remotely control them in order to drive them to a certain building or event and cause them to explode?

Again, it depends upon whether the designers and users of a system care about other people.

 

BIG DATA / AI / COGNITIVE COMPUTING

The rise of machines that learn — from infoworld.com by Eric Knorr; with thanks to Oliver Hansen for his tweet on this
A new big data analytics startup, Adatao, reminds us that we’re just at the beginning of a new phase of computing when systems become much, much smarter

Excerpt:

“Our warm and creepy future,” is how Miko refers to the first-order effect of applying machine learning to big data. In other words, through artificially intelligent analysis of whatever Internet data is available about us — including the much more detailed, personal stuff collected by mobile devices and wearables — websites and merchants of all kinds will become extraordinarily helpful. And it will give us the willies, because it will be the sort of personalized help that can come only from knowing us all too well.

 

Privacy is dead: How Twitter and Facebook are exposing you — from finance.yahoo.com

Excerpt:

They know who you are, what you like, and how you buy things. Researchers at MIT have matched up your Facebook (FB) likes, tweets, and social media activity with the products you buy. The results are a highly detailed and accurate profile of how much money you have, where you go to spend it and exactly who you are.

The study spanned three months and used the anonymous credit card data of 1.1 million people. After gathering the data, analysts would marry the findings to a person’s public online profile. By checking things like tweets and Facebook activity, researchers found out the anonymous person’s actual name 90% of the time.

 

iBeacon, video analysis top 2015 tech trends — from progressivegrocer.com

Excerpt:

Using digital to engage consumers will make the store a more interesting and – dare I say – fun place to shop. Such an enhanced in-store experience leads to more customer loyalty and a bigger basket at checkout. It also gives supermarkets a competitive edge over nearby stores not equipped with the latest technology.

Using video cameras in the ceilings of supermarkets to record shopper behavior is not new. But more retailers will analyze and use the resulting data this year. They will move displays around the store and perhaps deploy new traffic patterns that follow a shopper’s true path to purchase. The result will be increased sales.

Another interesting part of this video analysis that will become more important this year is facial recognition. The most sophisticated cameras are able to detect the approximate age and ethnicity of shoppers. Retailers will benefit from knowing, say, that their shopper base includes more Millennials and Hispanics than last year. Such valuable information will change product assortments.

Scientists join Elon Musk & Stephen Hawking, warn of dangerous AI — from rt.com

Excerpt:

Hundreds of leading scientists and technologists have joined Stephen Hawking and Elon Musk in warning of the potential dangers of sophisticated artificial intelligence, signing an open letter calling for research on how to avoid harming humanity.

The open letter, drafted by the Future of Life Institute and signed by hundreds of academics and technologists, calls on the artificial intelligence science community to not only invest in research into making good decisions and plans for the future, but to also thoroughly check how those advances might affect society.

 

 

SMART/ CONNECTED TVs

 



Though there are many other examples, I think you get the point.

That biblical idea of loving our neighbors as ourselves…well, as you can see,
that idea is as highly applicable, important, and relevant today as it ever was.



 

 

Addendum on 3/19/15 that gets at exactly the same thing here:

  • Teaching robots to be moral — from newyorker.com by Gary Marcus
    Excerpt:
    Robots and advanced A.I. could truly transform the world for the better—helping to cure cancer, reduce hunger, slow climate change, and give all of us more leisure time. But they could also make things vastly worse, starting with the displacement of jobs and then growing into something closer to what we see in dystopian films. When we think about our future, it is vital that we try to understand how to make robots a force for good rather than evil.

 

 

Addendum on 3/20/15:

 

Jennifer A. Doudna, an inventor of a new genome-editing technique, in her office at the University of California, Berkeley. Dr. Doudna is the lead author of an article calling for a worldwide moratorium on the use of the new method, to give scientists, ethicists and the public time to fully understand the issues surrounding the breakthrough.
Credit Elizabeth D. Herman for The New York Times

 

NMC Horizon Report > 2015 Higher Education Edition — from nmc.org

Excerpt:

What is on the five-year horizon for higher education institutions? Which trends and technologies will drive educational change? What are the challenges that we consider as solvable or difficult to overcome, and how can we strategize effective solutions? These questions and similar inquiries regarding technology adoption and educational change steered the collaborative research and discussions of a body of 56 experts to produce the NMC Horizon Report: 2015 Higher Education Edition, in partnership with the EDUCAUSE Learning Initiative (ELI). The NMC Horizon Report series charts the five-year horizon for the impact of emerging technologies in learning communities across the globe. With more than 13 years of research and publications, it can be regarded as the world’s longest-running exploration of emerging technology trends and uptake in education.

 

NMCHorizonReport-2015

 

NMCHorizonReport-2015-toc

 

 
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