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Thursday, April 26, 2018

Changing Mobile Learning Practices: A Multiyear Study 2012–2016 | EDUCAUSE Review

Student surveys on mobile technology usage highlight a need for better mobile integration in coursework and institutional strategy.


"Since the first iPhone was invented in 2007, mobile devices have progressed from a convenience in our daily lives to a necessity" says


In higher education, the use of mobile technologies in learning has also increased rapidly over that 10-year period.1 Given mobile's changing nature and affordances, however, it is still unclear how to best integrate the technology into both coursework and institutional strategy. 

At the University of Central Florida (UCF), we conducted online surveys in 2012, 2014, and 2016 to gather student perspectives on mobile learning at the university. Our goal was to get an overview of students' mobile device ownership and learning activities over time and understand related trends. This article compares the results of the 2016 survey to the previous two surveys and addresses three research questions: 
  1. What types of mobile devices do students use, and how has device ownership changed over time?
  2. How do students use mobile devices and apps, and how has that usage changed over time?
  3. What are students' beliefs about mobile usage, and how have those beliefs changed over time?

Mobile Technology and Education 
According to the ECAR Study of Undergraduate Students and Information Technology, 2017, 95 percent of undergraduate students own a laptop or a smartphone and 30 percent own a laptop, a smartphone, and a tablet.2 Mobile technology's high ownership has translated into increased usage to support student learning; this is particularly true with smartphones, which are conducive to agile tasks such as communication, easy information access, and photography.3

According to a recent survey, for example, 70–79 percent of University of Washington students reported using smartphones for academic purposes in at least one class.4 Other study results show that 78 percent of students consider their phones to be at least moderately important to their academic success,5 while 83 percent used a smartphone for course-related activities for one or more of their courses and 25 percent used a smartphone for all of their courses.6

Although usage for academic purposes has clearly increased, several challenges remain in implementing mobile technology in higher education. These challenges include a disconnect between student and instructor views of mobile technologies, a lack of pedagogical support or training for instructors, and a lack of effective technical support for mobile learning...

Next Steps 
Our mobile survey results offer a systematic view of mobile learning implementation and its implications for practice at UCF. Our hope is that it might also help other institutions promote and more systematically establish mobile learning practices of their own.

Among our short-term plans are to eliminate the disconnect between instructors and students through faculty training and pedagogical support. In addition to our stand-alone mobile training course, we intend to integrate learning concepts, such as universal design, into all training programs to help instructors design mobile-compatible online courses and assignments.

To support these mobile initiatives, UCF has created a new position, program director of mobile strategy, to focus on growth and awareness of mobile technologies.
Read more... 

Recommended Reading

Photo: leungchopan / Shutterstock © 2018

VR and AR: The Ethical Challenges Ahead by

Source: EDUCAUSE Review


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Tuesday, April 24, 2018

Nvidia's amazing deep learning tool can reconstruct incomplete photos | TechRadar

Phil Hall, Photography Editor inform, "A glimpse into the near future of image editing."

Photo: TechRadar

It might look like witchcraft, but researchers at Nvidia have developed an advanced deep learning image-retouching tool that can intelligently reconstruct incomplete photos.

While removing unwanted artefacts in image editing is nothing new – Adobe Photoshop's Content-Aware tools are pretty much the industry standard – the prototype tool that Nvidia is showcasing looks incredibly impressive. 

Don't take our word for it – check out the two-minute video below to get a taste of what this new technology is capable off.

Research at NVIDIA: AI Reconstructs Photos with Realistic Results 
 

What differentiates Nvidia's new tool from something like Content-Aware Fill in Photoshop is that it analyzes the image and understands what the subject should actually look like; Content-Aware Fill relies on surrounding parts of the image to fill in what it thinks should be there. 
Read more...

Source: TechRadar and NVIDIA Channel (YouTube)


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How Robots Are Helping MBA Students Be In Two Places At Once | BusinessBecause

"New technology lets b-schoolers attend classes and meet recruiters virtually via robots" summarizes Seb Murray at BusinessBecause.

Carey's “Gizmo”, one of three Segway robots at the business school
Photo: BusinessBecause

Albert Einstein once claimed that you can be in two places at once. The boffin was right—and you don’t need to be a quantum physicist to do it; merely a business school student. MBAs are attending campus classes using robots, controlled from halfway across the planet.  

Online learning has existed for decades, but schools are turning to newer forms of technology as the demand for digital degrees rockets and technology becomes increasingly prevalent in the workplace.

At Arizona’s W.P. Carey School of Business, MBA and Executive MBA students are able to attend classes virtually using “Gizmo”, one of three Segway robots with wheels that display a student’s face via an iPad strapped to the machine. A microphone and speaker enable conversations in real-time, while the wheels let students roam campus, interacting with anyone who crosses their path.

Lisa Bienstock says that she would not be able to get her Carey EMBA if it were not for technology such as Gizmo. “I’m a parent,” she says. “I also work full-time and I’m getting my Executive MBA all at the same time. I wouldn’t be able to do it if I didn’t have the support of ASU and technology like Gizmo to be in two places at once.”

She cites, as an example of how the robot has helped her, an instance in which she was attending a conference in Las Vegas but had to attend EMBA classes simultaneously in Arizona. “I was able to attend class through Gizmo, which was phenomenal as I didn’t miss anything,” says Lisa.

She controlled the Arizona-based bot from her Vegas hotel room using her laptop keyboard. “It’s great for parents or people who have sick children or disabilities — if you can’t get to class, you’re able to be there to participate [virtually],” Lisa says.

The robots may seem unusual but are now regularly roaming some campuses, with remote students routinely rolling into lecture theatres on wheeled machines, as well as meeting recruiters virtually using the devices.

MIT Sloan School of Management in Massachusetts, for instance, has been using robots designed by Double Robotics and Avaya Robotics since 2015, mostly in the executive education space where distance learning is more common than in MBAs.

Schools hope the robots mimic the feel of being on a buzzy campus, though nothing has truly replicated that experience yet. 
Read more... 

Recommended Reading: 

Photo: BusinessBecause

Be A Master Of Networking by Ania Zymelka at BusinessBecause.
"The ultimate guide to networking, from cycling clubs to lunching with CEOs. Plus how to write those pesky introductory emails."    

Source: BusinessBecause


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Sunday, April 22, 2018

3 Benefits of Online Programs at Community Colleges | Education - U.S. News & World Report

"Access to a physical campus is among the advantages of attending a local community college as an online student" reports Bradley Fuster, associate vice president of institutional effectiveness at SUNY Buffalo State.

Many community colleges offer seamless transfers to four-year colleges.
Photo: Maskot/Getty Images

Since the humble beginnings of American community colleges in 1901, these institutions have typically focused on meeting the academic, professional and vocational needs of nontraditional, financially constrained students bound to a certain location.

Community colleges have been successful, growing undergraduate enrollment faster than their four-year public, four-year private and for-profit competitors from 2000 to 2015.

Findings from the National Center for Education Statistics show that in fall 2014, of 6.4 million students attending public community colleges, 1.8 million students enrolled in at least one online course, with 690,000 students attending community colleges completely online.

Over time, more online programs and degrees have become available. For example, Wake Technical Community College in Raleigh, North Carolina, offers more than 100 online programs.

While community colleges may not have the reputational prestige of large, national online colleges, they generally have a much lower sticker price. Here are three additional advantages of attending an online program at a public community college. 
Read more...

Source: U.S. News & World Report


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NASA's women scientists rank space movies from worst to best - the list | Science - International Business Times, India Edition

The story is based on a BBC report on NASA's women and their take on films that project their profession.


Follow on Twitter as @JothamManny 
"Scientists at NASA are fans of film, more so when they are based in space - here is a ranking of what real space engineers think of space movies" according to Immanuel Jotham, Science and Technology reporter at International Business Times.

Photo: International Business Times

Scientists at NASA are a big fan of movies, especially space movies, however, not all movies based in space strike a chord with actual engineers who work and develop the technology that will one day take humans into the great beyond. Here is a list of movies that a team of women NASA employees thinks of space movies - ranked from worst to best.
Read more... 

Source: International Business Times, India Edition


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Saturday, April 21, 2018

Tour the Space Station in VR with This Amazing 3D, 360-Degree Video | Tech - Space.com

Follow on Twitter as @HarrisonTasoff
"The National Geographic Channel has revealed the first 3D, 360-degree video of space as a part of its new documentary series "One Strange Rock" reports 

We took a virtual tour with the astronauts aboard the International Space Station while hearing their thoughts on the enormity of space, and it left us speechless.

First-Ever 3D VR Filmed in Space | One Strange Rock


A special delivery arrived at the space station last November: a state-of-the-art Vuze VR camera. European Space Agency astronaut Paolo Nespoli brought the camera with him during his daily routine on the station. Nespoli received unique training on the device from series filmmaker Darren Aronofsky himself, who gave the Italian astronaut a crash course in VR filming via Skype. To experience the full impact of the video, watch it on your smartphone while wearing your favorite VR headset.

The video begins in low Earth orbit. An instrumental prelude plays as the space station approaches. The welcoming voice of retired Canadian astronaut Chris Hadfield relates how his 166 days in space changed his world view, both literally and metaphorically. Hadfield is soon joined by former NASA astronauts Mae Jemison, Mike Massimino and Nicole Stott, all of whom discuss their experience of Earth from the rarified vantage point of the space station. [The International Space Station: Inside and Out (Infographic)]

Nespoli carries the trusty camera through the tight quarters of the space station, providing viewers with a 360-degree perspective of life aboard the outpost in the sky. Wires, fixtures and equipment cover nearly every surface of the cabins, but that's nary a problem when you can float past them in microgravity. Nespoli also recorded super-high-definition footage of NASA astronaut Peggy Whitson, the first woman to command the space station, including her final day in space at the end of Expedition 52. The sequences will appear in the series' final episode, which airs on Monday, May 28 at 10 p.m. EDT/9 p.m. CDT.
Read more...

Source: Space.com and National Geographic Channel (YouTube)


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Seven Artificial Intelligence Advances Expected This Year | Technology - Forbes

"Artificial intelligence (AI) has had a variety of targeted uses in the past several years, including self-driving cars" continues Forbes Technology Council.

Photo: Shutterstock

Recently, California changed the law that required driverless cars to have a safety driver. Now that AI is getting better and able to work more independently, what's next?
Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
We asked seven technology experts from the Forbes Technology Council their thoughts on the advances and implementations in AI that they expect to see in the year ahead. All the responses touched on how AI can help humans now, instead of much further down the road. This is what they had to say.

1. Improved Patient Health Outcomes 

I expect that we will see an increased focus on improving health outcomes utilizing artificial intelligence. Patients are producing significant amounts of health data with mobile devices and connected wearables. Providers are using electronic health records generating enormous amounts of information. Applying artificial intelligence will utilize information from patients and providers to actively identify health conditions that may not have been detected until later. - Meghann Chilcott, OrderInsite, LLC
Read more...  

Source: Forbes  


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What You Need to Know About Artificial Intelligence | Parade

Photo: Kathleen McCleary
Kathleen McCleary, Contributor says, "Artificial intelligence, the top job trend, is here to stay and it’s changing the face of work."
 
Photo: iStock
If you’ve recently chatted online with customer service, had an X-ray taken or applied for a loan, you’ve likely experienced A.I., including “chatbots,” diagnostic imaging machines and loan algorithms. But the new wave of technology doesn’t necessarily mean unemployment.

“People fear a lot of jobs will be destroyed, but the reality is jobs will change as people team up with technology,” says Andrew Chamberlain, Ph.D., chief economist with job search website Glassdoor. A recent report by McKinsey Global Institute (MGI) found that up to 32 percent of the U.S. workforce (166 million people) will have to move out of their current occupational categories to find work over the next 12 years, but they’ll be taking on different jobs, including some that never existed before.

“Everybody’s job is going to look different by 2030,” says Susan Lund, partner with MGI and an author of the report. Think back to 1980, before personal computers and the internet. PCs have created 19.5 million new jobs in the U.S., from software developers to semiconductor manufacturers. At the same time, 3.5 million jobs have dried up, including typists, secretaries and typewriter manufacturers. Still, the economy has gained 16 million jobs over the past 35 years, thanks to new technology...

Natalie Choate, director of media relations and partnerships for the Texas Tribune, worked for the organization for more than five years in fundraising and membership before moving over to her current job. “I was stepping out into the unknown,” she says. “It was a completely different job—and different jargon.” The Tribune was willing to invest in the time it took her to learn her new gig in order to keep her on staff. “I have very patient co-workers who helped me get from point A to point B,” she says.
Read more...  

Source: Parade


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Changing the game: Machine learning in healthcare | Healthcare IT News

"When EHRs can learn – gather and remember – what works best for each user, they can attain maximum efficiency" according to Paul Black, CEO of Allscripts.
 

Photo: Healthcare IT News (blog)

As we live in the new world of quality, value-based care, we must be able to draw more insights and conclusions from ever-increasing amounts of information. We have the data, now we must put it to work. When we combine all of this data with machine learning, we are equipped to make smarter decisions. We have the power to transform healthcare – from the way we use electronic health records to the way we predict and deliver care.  

A game changer for EHRs 
Most EHRs are built on technology that is 20 or 30 years old. Generally, EHRs have kept up with rapid changes in healthcare by making incremental improvements over time. But it is challenging to retrofit EHRs to take full advantage of new innovations.

EHRs must do more than store data. They should be smart enough to deliver the right information at the right time, at the point of care. When an EHR is powered by machine learning, it can pre-populate information based on usage patterns and deliver preference reminders, constantly surveilling trends by user and organization to create opportunities for more effective care...

A game changer for population health, predictive modeling 
Machine learning is also empowering us to analyze patient data at a level never before possible. We can now transform data into insights and actionable information.

Just think how a "data lake," where we are able to store millions of de-identified patient information to structure and to analyze data and study problems that are meaningful to health care, could transform diabetes care, for example.

We now have the power to compare things like blood sugar levels, body mass index, age and other risk factors and analyze treatment outcomes...

The way of the future 
...extraordinarily exciting set of capabilities today that didn't exist a decade ago. It enables computers to handle greater amounts of work than human beings can undertake, and will become increasingly important in this era of consumerization...
Read more...

Source: Healthcare IT News (blog)


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Friday, April 20, 2018

Machine-learning system processes sounds like humans do | MIT News

"Neuroscientists train a deep neural network to analyze speech and music" says Anne Trafton, MIT News Office.

MIT neuroscientists have developed a machine-learning system that can process speech and music the same way that humans do.
Photo: Chelsea Turner/MIT
Using a machine-learning system known as a deep neural network, MIT researchers have created the first model that can replicate human performance on auditory tasks such as identifying a musical genre.

This model, which consists of many layers of information-processing units that can be trained on huge volumes of data to perform specific tasks, was used by the researchers to shed light on how the human brain may be performing the same tasks.

“What these models give us, for the first time, is machine systems that can perform sensory tasks that matter to humans and that do so at human levels,” says Josh McDermott, the Frederick A. and Carole J. Middleton Assistant Professor of Neuroscience in the Department of Brain and Cognitive Sciences at MIT and the senior author of the study. “Historically, this type of sensory processing has been difficult to understand, in part because we haven’t really had a very clear theoretical foundation and a good way to develop models of what might be going on.”

The study, which appears in the April 19 issue of Neuron, also offers evidence that the human auditory cortex is arranged in a hierarchical organization, much like the visual cortex. In this type of arrangement, sensory information passes through successive stages of processing, with basic information processed earlier and more advanced features such as word meaning extracted in later stages.

MIT graduate student Alexander Kell and Stanford University Assistant Professor Daniel Yamins are the paper’s lead authors. Other authors are former MIT visiting student Erica Shook and former MIT postdoc Sam Norman-Haignere. 

Modeling the brain
When deep neural networks were first developed in the 1980s, neuroscientists hoped that such systems could be used to model the human brain. However, computers from that era were not powerful enough to build models large enough to perform real-world tasks such as object recognition or speech recognition.

Over the past five years, advances in computing power and neural network technology have made it possible to use neural networks to perform difficult real-world tasks, and they have become the standard approach in many engineering applications. In parallel, some neuroscientists have revisited the possibility that these systems might be used to model the human brain.
Read more... 

Journal Reference:
Journal Alexander J.E. Kell, Daniel L.K. Yamins, Erica N. Shook, Sam V. Norman-Haignere, Josh H. McDermott. A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy. Neuron, 2018; DOI: 10.1016/j.neuron.2018.03.044

Source: MIT News


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