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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.

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.

the tracking of consumers has grown both far more pervasive and far more intrusive than is realized by all but a handful of people in the vanguard of the industry. • The study found that the nation's 50 top websites on average installed 64 pieces of tracking technology onto the computers of visitors, usually with no warning. A dozen sites each installed more than a hundred. The nonprofit Wikipedia installed none.

the Journal found new tools that scan in real time what people are doing on a Web page, then instantly assess location, income, shopping interests and even medical conditions. Some tools surreptitiously re-spawn themselves even after users try to delete them. • These profiles of individuals, constantly refreshed, are bought and sold on stock-market-like exchanges that have sprung up in the past 18 months.

Advertisers once primarily bought ads on specific Web pages—a car ad on a car site. Now, advertisers are paying a premium to follow people around the Internet, wherever they go, with highly specific marketing messages.

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.