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We need to rethink how we learn and deal with the tacit knowledge.

Dusty wanted to put Maui on the surfing map. Dusty found four peers in the same age group and decided to build a scheme of collaboration - the likes of which the world has never seen. Dusty was the first junior champion ever in Maui and came up with a new genre - aerial surfing

Here are some things they did in their learning community:They are willing to keep failing because they knew they could learn from failure.They collectively analysed each frame of videos of the best surfers across the world.The used video camera to capture and analyse their own moves. They deconstruct their own technique by watching each frame of their work on the beach.They pulled ideas from various sports - windsurfing, skateboarding, mountain biking, motorcross, etc. The cool stuff is they've taken ideas from different domains and applied them to their own domain. They've understood the idea of 'spikes', where they've travelled to the expertise hotspots for surfing across the world to learn their trade. Now they're a bit of a spike in themselves.

This is an example of deep collaborative learning with each other. They are people that are passionate about a trade and they chase extreme performance with a deep questing disposition. They learn themselves from the things that others are doing around them. They have a commitment to indwelling -- they soak up the world around them.

The second story JSB has is about WOW - The World of Warcraft. It's a massively multi-player online role-playing game (MMORPG). There's a reason we need to care. This is the first domain where we've discovered a place where we don't have diminishing returns, we have exponentially increasing returns. The sense of joint collective activity is pretty awesome as one of the TWU students pointed as well. The core of the game is really more the social life on the edge of the game. The edge is often called a knowledge economy. WOW is way too complicated to play without complex analysis tools and dashboards, but these dashboards are tailored to each player to measure their own performance and are a key to their mastery at the game. This is quite curious -- don't managers develop dashboards to look at their people? This is obviously a game changing way to self-reflect. The cool thing that goes is after action reviews -- this is very in tune with the Agile Retrospectives idea. This is an example of blending the tacit and the cognitive. This is collective indwelling and reflection. While they marinate and learn in a social context, they also reflect together when they're done, so they can learn from each other. This is the way grandmasters learn -- they practice with peers and then reflect on what they did. This is the way hackers practice their trade.

There's an incredibly rich knowledge economy around this game. On a typical night there are about 10-15000 new ideas coming up about the game. There are blizzard forums, databases, blogs, wikis, videos and what not. The way people absorb all of this is that guilds (player teams) self-organise into being a knowledge refining community to work together, curate content and then collectively learn amongst themselves. This is the idea of a personal learning network (PLN) IMO.

This is what I asked each student to do: 1) create a series of three goals or metas, one progressively more complex than the other, and each building upon the other, that were to be accomplished his term. The first goal was to be done by the end of March, the second by the end of April, the third maybe by the end of the term…but probably not. 2) create a series of tasks that s/he felt would lead to realizing those goals. 3) blog about about his or her progress at least 2 times per week 4) At the end of the term: write up a final self assessment (in English or in Spanish), reflecting upon the progress completed, including the work done in class that would contribute to these goals, and assign a grade for the term. The students needed to evidence of their progress as a way of justifying their chosen grade. CAVEAT: If the grade s/he chose was lower than one than I would have selected, they would get my grade and an explanation. If the grade was higher, we would continue the conversation and try to see what it was that I was missing. I was willing to be (and wanted to be!) swayed, given that this was the student’s assessment of his/her personal learning goals in Spanish.

Some (but very few indeed) met ALL of their goals. Almost all acknowledged that they had set up unrealistic expectations for themselves (in terms of how much they could get done in a semester) and many used their self assessment as a way to set up future goals for their language growth. (Exactly the kinda thing you hope to see happen…learning extending beyond the limits imposed by the classroom).

A shy, timid young man, he did not mention in his evaluation the class discussion he led, and managed, and blogged about at the end of the term… nor did he see how any of this was helping him move towards his most lofty goal…to be able to travel with friends in Spain and to be able to communicate with ease and without anxiety.

It pains me to read this, but not because of the critiques she makes about me, the tools, or the class. It pains me because Edie passed on an opportunity to try something new, experiment, take a calculated risk…all things she will eventually have to do when she travels in another culture. It’s sad because she was the only student who did not “let go” of something during the semester and instead just held on tight to how she wanted this class to be, vs how it really, truly was. Unstructured to her meant undirected. Allowing the group to decide the flow of the class frustrated her, because the cadence of the class was not one that was controlled by the teacher and therefore predictable

In the end, she presented me with a chart that logged over 40 hours of Skype conversations with a native speaker she eventually found, and 110 pages (!) of chat transcripts with others with whom she tried to make regular contact. In class, as a result of her out of class experiences, she became more involved and engaged, eventually leading a class discussion about her interests in music, but doing so such that it wove itself in with the topic the class was discussing that week.

I have also asked students to write a beginning of the year letter to me about themselves. We then "wordle" the letter and print the graphic. I hang the graphics on the wall of the classrooms to show a snapshot of the different people in the class.

Already in the mainstream of consumer use, electronic books are appearing on campuses with increasing frequency.

applications for laptops and smart phones overlay digital information onto the physical world quickly and easily.

Devices that are controlled by natural movements of the finger, hand, arm, and body are becoming more common. Game companies in particular are exploring the potential offered by consoles that require no handheld controller, but instead recognize and interpret body motions.

Visual data analysis is an emerging field, a blend of statistics, data mining, and visualization, that promises to make it possible for anyone to sift through, display, and understand complex concepts and relationships.

students need to be able to highlight important passages, make notes in the margins of the text, and quickly skim through passages to refresh and compare information. In all three pilots, the students felt that e-readers were not yet ready to meet these academic needs.

the Kindle’s small keyboard makes the annotation process very labor-intensive

Because the keyboard is so small, and because there was a significant latency between typing the note and the note appearing on screen, a lot of students found that they were overtyping. Many of the students got fed up with the keyboard, so they would just read on their Kindle and make notes in a separate notebook.” Also, the Kindle allows readers to make annotations only in e-book-format files, meaning that students couldn’t insert notes on any PDF-format files that were on the devices. “I think the first [e-reader] manufacturer that figures out how to make a PDF that you can also annotate is going to snag this market,” Temos predicts.

He is hesitant, though, to say that this problem is primarily because of a deficiency in the device, when it could just as easily be that the students need to adapt to using a new technology. “[ASU is] going to look at whether this is something that students get used to in the second semester of the pilot and eventually prefer, or if it remains consistent that they continue to prefer paper,” he says. “I think we don’t know that yet.”

Highlighting text with the Kindle was not much easier or more satisfying for Princeton students. Much of the difficulty was due to the inability to highlight in color on the grayscale E Ink screen. “The highlighting on the Kindle isn’t actually highlighting; it just makes an underline,” Temos explains. “The students want something more emphatic than that.” Students also found it awkward to highlight long passages using the trackball. “Highlighting over a page break on the Kindle is a real feat,” Temos laughs. “If you actually extend your highlight from one page to the next you feel a real sense of accomplishment.”

"It is a sea change in the way the industry works," says Omar Tawakol, CEO of BlueKai. "Advertisers want to buy access to people, not Web pages."

The Journal found that Microsoft Corp.'s popular Web portal, MSN.com, planted a tracking file packed with data: It had a prediction of a surfer's age, ZIP Code and gender, plus a code containing estimates of income, marital status, presence of children and home ownership, according to the tracking company that created the file, Targus Information Corp.

Tracking is done by tiny files and programs known as "cookies," "Flash cookies" and "beacons." They are placed on a computer when a user visits a website. U.S. courts have ruled that it is legal to deploy the simplest type, cookies, just as someone using a telephone might allow a friend to listen in on a conversation. Courts haven't ruled on the more complex trackers.

tracking companies sometimes hide their files within free software offered to websites, or hide them within other tracking files or ads. When this happens, websites aren't always aware that they're installing the files on visitors' computers.

Often staffed by "quants," or math gurus with expertise in quantitative analysis, some tracking companies use probability algorithms to try to pair what they know about a person's online behavior with data from offline sources about household income, geography and education, among other things. The goal is to make sophisticated assumptions in real time—plans for a summer vacation, the likelihood of repaying a loan—and sell those conclusions.

Consumer tracking is the foundation of an online advertising economy that racked up $23 billion in ad spending last year. Tracking activity is exploding. Researchers at AT&T Labs and Worcester Polytechnic Institute last fall found tracking technology on 80% of 1,000 popular sites, up from 40% of those sites in 2005.

The Journal found tracking files that collect sensitive health and financial data. On Encyclopaedia Britannica Inc.'s dictionary website Merriam-Webster.com, one tracking file from Healthline Networks Inc., an ad network, scans the page a user is viewing and targets ads related to what it sees there.

Beacons, also known as "Web bugs" and "pixels," are small pieces of software that run on a Web page. They can track what a user is doing on the page, including what is being typed or where the mouse is moving.

The majority of sites examined by the Journal placed at least seven beacons from outside companies. Dictionary.com had the most, 41, including several from companies that track health conditions and one that says it can target consumers by dozens of factors, including zip code and race.

After the Journal contacted the company, it cut the number of networks it uses and beefed up its privacy policy to more fully disclose its practices.

Flash cookies can also be used by data collectors to re-install regular cookies that a user has deleted. This can circumvent a user's attempt to avoid being tracked online. Adobe condemns the practice.

Most sites examined by the Journal installed no Flash cookies. Comcast.net installed 55.

Wittingly or not, people pay a price in reduced privacy for the information and services they receive online. Dictionary.com, the site with the most tracking files, is a case study.

Think about how these technologies and the associated analytics can be used in other industries and social settings (e.g. education) for real beneficial impacts. This is nothing new for the web, the now that it has matured, it can be a positive game-changer.

Media6Degrees Inc., whose technology was found on three sites by the Journal, is pitching banks to use its data to size up consumers based on their social connections. The idea is that the creditworthy tend to hang out with the creditworthy, and deadbeats with deadbeats.

"There are applications of this technology that can be very powerful," says Tom Phillips, CEO of Media6Degrees. "Who knows how far we'd take it?"

Hidden inside Ashley Hayes-Beaty's computer, a tiny file helps gather personal details about her, all to be put up for sale for a tenth of a penny.

"We can segment it all the way down to one person," says Eric Porres, Lotame's chief marketing officer.

One of the fastest-growing businesses on the Internet, a Wall Street Journal investigation has found, is the business of spying on Internet users.

Yahoo Inc.'s ad network,

"Every time I go on the Internet," she says, she sees weight-loss ads. "I'm self-conscious about my weight," says Ms. Reid, whose father asked that her hometown not be given. "I try not to think about it…. Then [the ads] make me start thinking about it."

Information about people's moment-to-moment thoughts and actions, as revealed by their online activity, can change hands quickly. Within seconds of visiting eBay.com or Expedia.com, information detailing a Web surfer's activity there is likely to be auctioned on the data exchange run by BlueKai, the Seattle startup.