Cognizant Computing in Your Pocket (or on your wrist)

Two years ago, I wrote about the prediction that your ever-smarter phone will be smarter than you by 2017. We are half way there and I still feel superior to my phone - though I admit that it remembers things that I can't seem to retain, like my appointments, phone numbers, birthdays and such.

The image I used on that post was a watch/phone from The Jetsons TV show which today might make you think of the Apple watch which is connected to that ever smarter phone.

But the idea of cognizant computing is more about a device having knowledge of or being aware of your personal experiences and using that in its calculations. Smartphones will soon be able to predict a consumer’s next move, their next purchase or interpret actions based on what it knows, according to Gartner, Inc.

This insight will be performed based on an individual’s data gathered using cognizant computing — "the next step in personal cloud computing.

“Smartphones are becoming smarter, and will be smarter than you by 2017,” said Carolina Milanesi, Research Vice President at Gartner. “If there is heavy traffic, it will wake you up early for a meeting with your boss, or simply send an apology if it is a meeting with your colleague."

The device will gather contextual information from your calendar, its sensors, your location and all the personal data  you allow it to gather. You may not even be aware of some of that data it is gathering. And that's what scares some people.

watchWhen your phone became less important for making phone calls and added apps, a camera, locations and sensors, the lines between utility, social, knowledge, entertainment and productivity got very blurry.

But does it have anything to do with learning?

Researchers at Pennsylvania State University already announced plans to test out the usefulness in the classroom of eight Apple Watches this summer.

Back in the 1980s, there was much talk about Artificial Intelligence (AI). Researchers were going to figure out how we (well, really how "experts") do what they do and reduce those tasks to a set of rules that a computer could follow. The computer could be that expert. The machine would be able to diagnose disease, translate languages, even figure out what we wanted but didn’t know we wanted. 

AI got lots of  VC dollars thrown at it. But it was not much of a success.

Part of the (partial) failure can be attributed to a lack of computer processing power at the right price to accomplish those ambitious goals. The increase in power, drop in prices and the emergence of the cloud may have made the time for AI closer.

Still, I am not excited when I hear that this next phase will allow "services and advertising to be automatically tailored to consumer demands."

Gartner released a newer report on cognizant computing that continues that idea of it being "the strongest forces in consumer-focused IT" in the next few years.

Mobile devices, mobile apps, wearables, networking, services and the cloud is going to change educational use too, though I don't think anyone has any clear predictions. 

Does more data make things smarter? Sometimes.

Will the Internet of Things and big data converge with analytics and make things smarter? Yes.

Is smarter better? When I started in education 40 years ago, I would have quickly answered "yes," but my answer is less certain these days.

 


In 4 Years Your Phone Will Be Smarter Than You (and the rise of cognizant computing)

Your smartphone will be smarter than you by the year 2017. That is from an analysis from market research firm Gartner. It won't have much to do with hardware. It will come from the data and computational ability in the cloud. Phones will appear smarter than you - if you equate smarts with being able to recall information and make inferences. It was a part of a discussion of smart devices at Gartner Symposium/ITxpo 2013, November 10-14 in Barcelona.
What made mobile phones smartphones was new tech and apps, Cameras, enabling locations and sensors, and tying them into apps and social interactions via apps has been the biggest trend over the past 5 years. The easier things are already in place - scheduling, sending out reminders, letting you know what friends are doing or where they are, and alerting you to things in your vicinity.

A newer trend is having phones that predict your next action based on personal data already gathered. This is called cognizant computing and many people see it as the next step in personal cloud computing.

Carolina Milanesi, research vice president at Gartner, says “If there is heavy traffic, it will wake you up early for a meeting with your boss, or simply send an apology if it is a meeting with your colleague. The smartphone will gather contextual information from its calendar, its sensors, the user’s location, and personal data.”
Of course, allowing your phone to do these things is part of the equation. And not everyone is okay with granting permissions to apps, opening up their data, and feeling confident in allowing apps and services to take control of aspects of their lives.

This idea of cognizant computing is said to occur in 4 phases. Those phases (according to Gartner) are: sync me, see me, know me and be me.

Sync me is familiar to users and probably appreciated: store copies of digital assets and sync them across devices. So, my iPhone knows what my iPad knows and my cloud documents are on all my devices, including several laptops.

See me is here in its early stages and means devices can track history and context. The phone knows where I am now and where I have been.

Using the data from those two phases (which many of us have granted permissions for), phones can move to phases 3 and 4. That's when things get a bit scary for some people. When my phone "knows me" it acts proactively. Do I want to purchase something now based on my earlier spending habits?

And, taking it a step further, how much do I want my device to "Be Me" and act on my behalf? It will pay my bills. It will send selected friends and relatives birthday greetings and pick out a gift. (After all, I have tied my wife's purchases to my account and it knows where she likes to shop and what she likes to buy.)

Scary? Or are you happy to let that little package of power make your life "easier"?

I still haven't gotten my jetpack or flying car, but I might get some cousin of The Jetsons' Rosie that can slip into my pocket - and into my life - quite easily.

Jetsons
 

Include Mobile When Blending Courses

blender

Blended learning is not a new course design concept. It refers to a mixing of different learning environments. Usually, that means blending traditional face-to-face (F2F) classroom methods and class time with online and computer-mediated activities.

There is not one definition of blended learning. In fact, I hear the terms "blended," "hybrid," and "mixed-mode" used interchangeably.

In blended learning, technology always plays a bigger role than in the traditional classroom. As schools "allow" and actually encourage the use of smartphones and tablets, these devices allow the F2F experience to overlap with the experiences outside the classroom.
diagram Students bringing their own devices to campus (known as BYOD) changes things. It changes technology policies and it lowers the cost of technology for blended-learning. Statistics are always changing but at least 75 percent of teens now own cellphones, according to a Pew Research Center report. Is there a socio-economic, racial "gap" with mobile technology as there was in the early days of personal computers and Internet access? Another Pew study reported that African Americans and English-speaking Hispanics are slightly more likely than whites to own a cell phone.

Remember 1:1 computing? Mobile devices, particularly smartphones, bring us much closer to that as a reality. And that also makes blended learning more viable.

The real blending may occur when students don't see a big difference between the experience in a classroom and the experience outside.

Mobile doesn't eliminate all the issues with blended courses - and many of those issues have been around since the earliest days of online learning. Some things are harder to do - maybe impossible - to do online. Assessments on mobile devices require considerations of academic integrity.

But anyone considering designing or teaching in a blended setting needs to be be making mobile part of the design.


Free Apps Dominate Downloads

apps


If you look across all mobile platforms, nearly 90% all app store downloads this year will be free apps.

Add to that information from a report from Gartner that says that 90 percent of the apps that users pay for will cost less than $3. The report, "Market Trends: Mobile App Stores, Worldwide, 2012."

App downloads in 2011 were at the 24.94 billion mark from Google Play/Android Market, the Apple App Store, and others. Of those, 88.4 percent (about 22 billion) were for free apps, while about 2.9 billion were for paid apps.

This year? The forecast is for 83% growth with annual growth projected at 50 to 79 percent each year through 2016.

What does this mean for educators? As mobile continues to move into classrooms, sometimes only because students bring it there, we will find ourselves using more and more free and cheap apps rather than traditional, expensive software.

That makes money available from school budgets and from students' budgets that could be used in other ways. It also open the door to using more mobile technology without considering software cost as a critical factor.

Read more: Free Apps To Make Up 89 Percent of Mobile Downloads This Year