Wednesday, November 27, 2013

Gartner Hype Cycle for Education, 2013

I've heard of the Gartner Hype Cycle for Emerging Technologies, but never realized there was one for Education. I guess it's all those rocks I've been hiding under.

The 2013 Gartner Hype Cycle for Education takes a focused look at digitalization trends on learning technologies, showing things like Quantum and Affective Computing on the uptick; Big Data and MOOCs at the peak; ideas like BYOD Strategies slipping into the trough; Tablets climbing the Slope; with E-Book Readers, Self-Publishing, and Mashups hitting the plateau.

Does this mesh what you're seeing?

Thursday, November 07, 2013

Kineo Konnect: on the road in NY December 5

Join us in New York on December 5 for an insightful networking event.

I'll be there and hope you will, too!

Here's the details:
Kineo, a global leader in innovative learning solutions, will be hosting an exclusive 'Konnect' leadership event in New York on Thursday, December 5th. The event presents an opportunity to tap into 10 new trends shaping the learning and technology landscape, and network with learning leaders. 
Full details on our site along with registration info.

Monday, October 28, 2013

10 Ways to Turn Your Learners into Zombies @kineo webinar Oct 30/31

It's going to be so very spooky!

Join me this Wednesday, October 30th at 11 am eastern for a session that's sure to give you nightmares.

Followed by a repeat performance that night at 10 pm eastern so we can horrify audiences all over the world!

More info and to reserve your spot...if you dare!

Friday, October 25, 2013

Talent Anarchy, Closing Keynote #DevLearn

This are my liveblogged notes from the closing keynote session on Friday, October 25 at the eLearning Guild DevLearn Conference, happening this week in Las Vegas. Forgive any incoherence or typos. I am in Vegas, after all...

Jason Lauritsen and Joe Gertstandt, @talentanarchy http://talentanarchy.com

Their breakthrough: the need to make work more human.

Innovation...this needs to be something that all employees contribute to all levels with in the org.

"Innovation is significant positive change." ~ Scott Berkun

The pyramid -- a reflection of how innovation actually happens. More often than not, innovation is an iterative thing that takes time. We tweak things and add on to what's there. After so long, we're sitting on top of a pyramid. Small improvements and experiments lead to innovation.

Hacking = innovation.

Today, people think hacking is a criminal activity. But hacking wasn't about stealing or breaking, it's about understanding how something works and trying to extend it's capabilities. There was a positive ethos around the hacking sub-culture. About sharing, openness, decentralization, free access to tools, world improvement.

Hacking is about building things, not breaking them.

Requirements: curiosity, experimentation, courage (to be a hacker)

Ask: Is it awesome? 

If the answer is Yes, then leave it alone.

If the answer is No, then ask "how could it be better?" Pull it apart, then hack. Then ask: is it awesome.

Ask: what does not-sucking look like?

When we take big, complex approaches to change that take 18 months...no one can survive failure. There's too much invested in it. So if this thing fails, we can't admit it.

Instead, we need to play with change on a smaller scale. And failure instead becomes FEEDBACK.

The System = what you want to change
Aspiration - the way you want the system to improve
Components = the individual pieces of that system
Hack = taking an individual component and making a change - then we can see, did that hack move us closer to our aspiration

And now we're going to do a collaborative HackLab as part of the session...

Hacking is about finding small changes that you can take action on.  You have to stay inside the box. A hack is something you can take action on. You don't need to get additional resources, or ask permission, authority, ability.  Hack inside your box. What's the smallest thing that makes the biggest difference?

If it works, you keep it.

Example: Hacking staff meetings: aspiration to keep them under 30 minutes.  List out all the components...Hack: arrive five minutes early or don't come. Hack: remove the chairs in your room.  If it works, keep it.

Everyone is involved in driving innovation in your organization. This approach put change in the hands of the people who do the work, who have the real knowledge about their work.  Instead of a team of three trying to make things better, this gives everyone in your org a way to feed deviation from the norm. Make sure your organization is benefiting from small improvements every day.







Thursday, October 24, 2013

Eli Pariser Keynote, #DevLearn "The Filter Bubble"

This are my liveblogged notes Eli Pariser morning keynote session on Thursday, October 24 at the eLearning Guild DevLearn Conference, happening this week in Las Vegas. Forgive any incoherence or typos. I am in Vegas, after all...

Eli Pariser, The Filter Bubble 

Facebook filters out what we say based on our perceived preferences. The sorting helps curate curate lots of data, but it puts us in a bubble where we only see things similar to us.

With only five data points, companies say they can predict with 80% accuracy some key things about you.

This shapes the products that are recommended to us...and what we see.

We don't all get the same Google anymore.

Google looks at 57 signals that say something about you: the computer you're using says something about your socioeconomic status, the browser you're using, where you're located...

Every major company is moving towards personalization and providing people with more relevant data.

This means we don't all see the same news...


There are three key problems with this:

1. The Distortion Problem
We get an inaccurate view of the world.

2. The Psychological Equivalent of Obesity

There's a pull within us -- we want great content but sometimes we just want to watch Ace Ventura a fourth time. It's a tug of war between our aspirational selves and our actual selves.

Great media sources help us balance our media sources.

We rely on these search algorithms more than we should -- there are still some things that human editors do a lot better:

1. Anticipation.
2. Risk-taking. (in restaurant recommendations, Chipotle always comes up. It's safe and we all mostly like it.  But it's not a risk.  These engines can't make that risk).
3. Provide the whole picture. Algorithms don't have that sense of how things hold together.
4. Pairing.
5. Social importance
6. Mind-blowingness. Think about the piece of media that most changed your life. It probably wasn't the most easy going. But it stuck with you afterward. Personalization doesn't give bonus points to things that stick with us -- Human editors are good with this.
7. Trust. I may not like football, but because I trust this magazine, I might read that article. This pulls us out of our comfort zone. Or friends make recommendations. Algorithms can't say "walk with me here because I think this might be something you find interesting.)

3. A Matter of Control
It's not really a choice if you don't know that you have it. A part of being human is knowing what choices you have so you can make your own decisions.  Right now, we're giving that choice over to code.

Eric Schmidt of Google: "They want Google to tell them what to do next." -- if that's true, then we need to make sure that these algorithms work in the right way.

The new gatekeepers are code. The code decides what information is most important. Without any sense of civic duty, which the best human editors have.

"Learning is by definition an encounter with what you don't know..." Siva Vaidhyanathan

The Google shields us from the radical encounters which can help us learn.

What can we do?

1. We need to make sure that the filterers are better. We need to make sure they're looking at a whole range of signals. That they're not just giving us what we like and what is similar to us...

2. We need to tailor data, not just based on what is relevant, but also other points of view and things that are challenging and uncomfortable.

We need to understand where the editor is coming from and what its point of view is.

Kranzberg's Law: "Technology is neither good nor bad, nor is it neutral."

3. Give students the tools to build better filters.

We create the Web. It is by no means finished.

The Web can be the technology that connects us to lots of new ways of thinking, that takes us out of our comfort zone.

You can turn off personalization on your Google search.  

If you google yourself, you'll get very different results than if someone else googles you.