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I came across Wordle some time ago, thought it was pretty nifty, and then forgot about it. An article in the August 2009 issue of Learning & Leading with Technology ("Words in a Cloud" by Samantha Morra) made me reflect on the power of this fun tool. In the article, Morra describes using Wordle with her middle school students to visually analyze important documents, such as the Declaration of Independence. I began thinking about science and math class and wondered if the tool might help students identify the main concepts of a passage. However, I don't have access to any middle school textbooks to test this out!

If you want to use it as a pre-reading activity, copy and paste your text (or type a few paragraphs) into wordle to create the word cloud. The size of the words indicates the frequency of their use in the text. In essence, major concepts/terms will show up bigger than others. Have students create a prediction about the reading based on what appears in the word cloud.

If you want to use it as a post-reading activity, I have had students keep a running list of words that jump out at them while reading a particular passage (or you can give them a more specific purpose for selecting words). Then, they create their own word clouds. It's a nice formative assessment for teachers to see what students are noticing while reading (or NOT noticing...).

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.

The team found that students remembered the pairs much better when they first tried to retrieve the answer before it was shown to them. In a way this pretesting effect is counterintuitive:

Students were asked to read the essay and prepare for a test on it. However, in the pretest condition they were asked questions about the passage before reading it such as “What is total color blindness caused by brain damage called?” Asking these kinds of question before reading the passage obviously focuses students’ attention on the critical concepts. To control this “direction of attention” issue, in the control condition students were either given additional time to study, or the researchers focused their attention on the critical passages in one of several ways: by italicizing the critical section, by bolding the key term that would be tested, or by a combination of strategies. However, in all the experiments they found an advantage in having students first guess the answers. The effect was about the same magnitude, around 10 percent, as in the previous set of experiments.

This work has implications beyond the classroom. By challenging ourselves to retrieve or generate answers we can improve our recall. Keep that in mind next time you turn to Google for an answer, and give yourself a little more time to come up with the answer on your own. 

How can we take high tech tools and make them work in low tech classrooms?

Students in my kids’ class are learning the alphabet. After learning each set of

etters, they enjoy making “human” letters.

Brainstorming:

The goal is to activate the learners' horizon of expectation, and help learners identify what the text is about

ideally

With such specific applications of technology and the limited use of other forms (for example, multimedia), students' low expectations for the use of technology in the curriculum is not surprising. Such constrained use of technology by the faculty in the curriculum and low student expectations may serve to limit innovation and creativity as well as the faculty's capacity to engage students more deeply in their subject matter.

Teachers who respect students Understand the power of beliefs in shaping their practice. They rid themselves of any covert persuasion they may have that kids who are like them in race, economic status, language, beliefs, or motivation are somehow better or smarter than those who are unlike them. Believe their work can make previously unimpressive students shine—and can raise the ceilings of possibility for impressive students. Teach students how to grow academically and personally. Enlist students' partnership in creating a classroom that dignifies each person within it.

Teachers who respect students choose their words and tone carefully. They consciously Listen to students—and hear them. Use positive humor, not sarcasm. Provide corrective feedback in ways that foster student effort. Acknowledge student growth. Use their words to defuse difficult situations.

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.

such students learn “how to perform theory without polysyllabic words” and how to feel as well as to articulate.