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They have a maker space in a church, a place where the kids can learn how to build a computer, a bike shop where they can learn how to do repairs. The kid who runs this place, Jeff Sturges, is awesome.We're sending a bunch of Media Lab people to Detroit to work with local innovators already doing stuff on the ground."

in which any bright talent anywhere, academically qualified or not, can be part of the world's leading "antidisciplinary" research lab. "Opening up the lab is more about expanding our reach and creating our network," explains Ito, appointed director in April 2011.

as Ito sees it, the formal channels of academia today inhibit progress. "In the old days, being relevant was writing academic papers. Today, if people can't find you on the internet, if they're not talking about you in Rwanda, you're irrelevant. That's the worst thing in the world for any researcher. The people inventing things might be in Kenya, and they go to the internet and search. Funders do the same thing. The old, traditional academic channel is not a good channel for attracting attention, funding, people, or preventing other people from competing with you.

My experience in creating podcasts came through much nobler endeavors. It began with a research project in the working-class neighborhoods of North Belfast and a frustrated conversation over pints in a pub. I was on a research high after an interview with two women of very different political backgrounds. They were friends, brought together by the work of a local nonprofit, and their mutual admiration shone from the lightning-fast banter that they tossed back and forth throughout the interview. It was clear to me that they were a perfect example of a friendship from different sides of the political divide. But my friend at the pub just couldn't get it. He suggested that their friendship might be contrived, a mere show for my benefit, or that if real, it didn't mean as much as I thought. Exasperated, I pulled out my recorder and played the conversation back to him. As their Belfast accents filled up our corner booth, I could see his posture slacken and the battle turn my way. In that moment, I decided that only a podcast could finish telling my story. Over the next months, armed with just an MP3 player and some freeware suggested by a friend, I worked to piece together the story of North Belfast through interviews, conversations, and the sounds of the streets. The result was crude, elementary, and slightly difficult to listen to. But I was hooked.

Student Use (and Misuse) of Podcast Technology

In fact, the iPod topped the list of the most "in" things on campus in 2006, according to Student Monitor's Lifestyle & Media Study.

let me say another word or two about our friend, the student who thinks he can read Romeo and Juliet in 10 minutes. It seems to me that he has a lot in common with educational policy makers who think that the experience of reading the book can be reduced to a small number of items on a standardized test. Both have an instrumental understanding of reading and learning which sees learning as a product and has not respect for the process of really engaging deeply with the literary experience. In many ways, the student's attitude is a byproduct of the current structure of education as much as it is a byproduct of the instant gratification promised by digital culture. As someone who has been involved in the last year with a project which seeks to model ways we can teach Moby-Dick in contemporary schools, I can tell you the resistance we've gotten from some teachers comes at both levels. Yes, some teachers don't think their students have the attention span to deal with a novel of this length and complexity but many more simply say that they don't think they have time to teach a novel of such richness if they are going to stay on track and review all of the content they are supposed to cover under the new national standards. Both push back against a depth of experience and the student may simply trying to act efficiently to give the teachers what they want on the test. As someone who loves literature, both sides of this equation break my heart.

what the gamers are doing in the Korean Bong is better described as intense concentration, entering a state of flow, rather than multitasking per se. A growing body of work has stressed the kinds of active problem solving which surrounds the play of certain kinds of games, the collaboration which occurs through certain forms of participatory culture, etc. as other ways of engaging with the online world. To me, there's something reductive about continuing to return to issues of multitasking when depicting Katie Salen's game school for example. Katie's approach is not about turning students lose on the computer; it is about teaching them to look at the world as a complex system and developing skills as designers. In my White Paper for MacArthur, I identify multitasking as a skill -- but I don't mean by this what young people think they are doing when they talk about multitasking. I mean the ability to manage attention -- sometimes concentrating on a single text or problem, sometimes scanning the environment to form a hazier understanding of the bigger picture, much as a driver needs to keep their eyes on the road in front of them but also needs to scan the rear view mirror. I think schools have a role to play in helping young people sharpen their understanding of which mode of engagement is appropriate for different tasks and contexts.

The goal shouldn't be to decide if computers are good or bad. Our goal should be to identify what a more constructive relationship to this technology might look like and to insure that those skills and practices get transmitted to a broader segment of the population.

She is currently writing a book tentatively titled Cases for Using Students' Cell Phones in Education: A Practical Guide to Using Cell Phones in K–12 Schools, which looks at 11 U.S. and 5 international case studies of teachers integrating students' own cell phones into instruction.

One of Larry Cuban's (Teachers and Machines, Oversold and Underused) theories about why ed technology often fails in schools is that we use this top-down approach where administrators or tech coordinators introduce the technologies to the teachers, and they in turn try to introduce and teach it to the students. It's a very foreign concept for the students, as well as the teachers. And often what happens is maybe a handful of teachers end up using this very expensive technology, and students don't have any access to it outside of school. Cuban recommends a much more bottom-up approach to ed technology. Rather than making specialized software and hardware just for school learning, students and society introduce the technologies that schools should be integrating into learning.

People who know the history of ed technology know that it hasn't been that successful, long-term, with sustaining learning because it's often attached to a tool that students don't have access to outside of school.

The 21st century has changed the game completely. The infrastructure is driven by the continual advances in computing, storage and bandwidth. There's no stability in sight.

In a world of increasingly rapid change, the half life of a given skill is constantly shrinking and the predictability of future needs is increasingly less certain. We're having to move from stocks to flows. This means we move from protecting knowledge assets to participating in knowledge flows. This means that our learning strategy moves to having a strong tacit component as against a hoarding mindset of stocking knowledge.

We're creating a lot of information everyday more in every two days than we did from the dawn of man to 2003.

It turns out that virtual worlds are at their best when they look nothing like a traditional campus. Professors are finding that they can stage medical simulations, guide students through the inside of cell structures, or pre­sent other imaginative teaching exercises that cannot be done in a physical classroom.

OpenSimulator, and it is essentially a free knockoff of Second Life

The most ambitious attempt to build an education-friendly virtual world is a project called Open Cobalt,

Mr. Somade told me recently that "the general idea is that if I don't have to come to class, I don't want to come to class—and technology is giving students more and more reason not to come."

In an era when students can easily grab material online, including lectures by gifted speakers in every field, a learning environment that avoids courses completely—or seriously reshapes them—might produce a very effective new form of college.

much of what students rate as the most valuable part of their learning experience at college these days takes place outside the traditional classroom, citing data from the National Survey of Student Engagement, an annual study based at Indiana University at Bloomington. Four of the eight "high-impact" learning activities identified by survey participants required no classroom time at all: internships, study-abroad programs, senior thesis or other "capstone" projects, or the mundane-sounding "undergraduate research," meaning working with faculty members on original research, much as graduate students do.

And if you can't eat around it, or drink around it, just don't buy it. Education is messy - if your carpet or upholstery can't be easily cleaned, you've bought the wrong stuff.

Design so that lighting varies, bright, dim, warm, cool. The idea of uniform room lighting, pulled from turn-of-the-20th-century German factory design, has never been appropriate for human use

Design so that noise levels can vary as well. Not everyone needs auditory chaos, but many do. serve everyone. Don't pick "50 year" furniture.

Many students ask themselves, "which network should I join?", and they worry that they will make the wrong choice. After all, your social network defines your career in a profound way, and if you choose an unfriendly network then you can make your life miserable. But this is the wrong way to think about it. You are not choosing which network to join; rather, you are creating a new network of your own. Your network is made out of individuals -- the individuals whose research and outlook are related to your own. These individuals' own networks will overlap to some extent, but they will not be identical. Most of them will attend several different conferences, publish in several different journals, and so on. You should do the same. Don't spread yourself too thin by trying to cultivate everyone who could possibly be relevant. But don't confine yourself to existing boundaries either.

ELA: There are more sobering notes among the n-grams. For instance, here's the trajectory of Marc Chagall, an artist born in 1887. And this looks like the normal trajectory of a famous person. He gets more and more and more famous, except if you look in German. If you look in German, you see something completely bizarre, something you pretty much never see, which is he becomes extremely famous and then all of a sudden plummets, going through a nadir between 1933 and 1945, before rebounding afterward. And of course, what we're seeing is the fact Marc Chagall was a Jewish artist in Nazi Germany. Now these signals are actually so strong that we don't need to know that someone was censored. We can actually figure it out using really basic signal processing. Here's a simple way to do it. Well, a reasonable expectation is that somebody's fame in a given period of time should be roughly the average of their fame before and their fame after. So that's sort of what we expect. And we compare that to the fame that we observe. And we just divide one by the other to produce something we call a suppression index. If the suppression index is very, very, very small, then you very well might be being suppressed. If it's very large, maybe you're benefiting from propaganda.

Now when Google digitizes a book, they put it into a really nice format. Now we've got the data, plus we have metadata. We have information about things like where was it published, who was the author, when was it published. And what we do is go through all of those records and exclude everything that's not the highest quality data. What we're left with is a collection of five million books, 500 billion words, a string of characters a thousand times longer than the human genome -- a text which, when written out, would stretch from here to the Moon and back 10 times over -- a veritable shard of our cultural genome.

It has long been academe's dirty little secret that bad instructors and bad assignments create cheating.

"In today's information age, where a body of information in all but the narrowest of fields is beyond anyone's ability to master, why aren't colleges teaching students how to research, organize and evaluate the information that is out there?"

If, however, processing information is the issue, if creative solutions are being sought, if students are being asked to develop new syntheses, then cheating will be much rarer, and much more difficult, technology use will become essential, and learning will be far more relevant.

One of the best examples I have seen of the flex model was in Morgan Hill, California. This is a district south of San Jose where about a third of its students are Hispanic and I believe over a third of its students are on free-and-reduced price lunch. The school is called the Silicon Valley Flex Academy - Grades 6 through 12. As you walk into the school there are a couple of huge open spaces on either side where every student has his/her own office. In this space, each student has his/her own computer. The students are encouraged to decorate their own space with things they like (in the same way an adult might decorate an office at work). There are break out classrooms around the perimeter of the building. Here teachers are getting the data on how the kids are doing. Teachers can pull students into these break-out classrooms in very small groups. The teacher is then able to focus on a student's individual issues. The teacher's job is totally different in this arrangement. The fascinating thing was how much ownership the students have over their learning. They all knew exactly what was expected of them the entire year. They knew exactly how they were doing at any point. Their job was to learn the material. If they could get the work done during the school day there was no homework. So it was up to the individual students to make those decisions.

The teachers I spoke to explained that they had been trained to do lesson planning, lectures to large groups of students and classroom management -- none of which they were now doing. They explained that the adjustment was difficult. Training has not been built into the formal teacher training system for programs like this, and few are really thinking about it at the moment. Now, the teacher is still doing teaching or tutoring when pulling students out into small groups for project-based work, but instead of this being determined by a pacing guide, this is now being determined by where the students are in their learning. What was so interesting was that in this model, teachers were able to do the tutoring and value enrichment work that teachers really like to do but don't always get time to do in a classroom. One of the challenges the teachers mentioned was staying on top of scheduling. How do you keep track when you have students at different places in the curriculum? Those were tough decisions for teachers to make and they were, as you say, learning on the job.

When students own their learning, they feel responsible for it and motivated to do it. What they also appreciated was that the teacher was no longer there to "punish them" or "grade them down". Instead the teacher was there to help them reach their goal. This is much more of an environment built around success and motivation versus failure.