Group items tagged

You can't actually tell people to think for themselves, or be creative. You have to work with them and have them learn it themselves."

"Being open, you're much less likely to have someone competitive emerge and you're also much more likely to find somebody who wants to come to work with you. Innovation is happening everywhere -- not just in the Ivy League schools. And that's why we're working with you guys [at Wired] too -- in the old days, academics didn't want to be in popular magazines. Openness is a survival trait."

It was, according to a 1984 briefing document by Negroponte, "designed to be a place where people of dramatically different backgrounds can simultaneously use and invent new media, and where the computer itself is seen as a medium -- part of a communications network of people and machines -- not just an object in front of which one sits."

As Ito sees it, the lab's mission "is to come up with ideas that would never be able to occur anywhere else because most places are incremental, directed and disciplinary".

There are lots of kids who are not happy with this massive consumerism, this unsustainable growth, but who have really smart science and technology values. That's a type of person we can draw into what I think will become a movement."

"We aim to capture serendipity. You don't get lucky if you plan everything -- and you don't get serendipity unless you have peripheral vision and creativity.

Our funding model allows our students to do anything they want without asking permission. It's like venture capital: we don't expect every experiment to succeed -- in fact, a lot are failures. But that's great -- failure is another word for discovery. We're very much against incrementalism -- we look for unexplored spaces, and our key metrics for defining a good project are uniqueness, impact and magic."

Ito set out some of his key principles. These included: "Encourage rebellion instead of compliance"; "Practice instead of theory"; " Constant learning instead of education"; "Compass over map". "The key principles include disobedience -- no one ever won a Nobel prize by doing as they're told," he explains later. "And it's about resilience versus strength -- you don't try to resist failure, you allow failure and bounce back. And compass over map is important -- you need to know where you're going, but the cost of planning often exceeds the cost of actually trying. The maps you have are often wrong. These principles affect and apply to just about any organisation."

In the old days, you needed hundreds of millions of dollars and armies of people to do anything that mattered. Today a couple of kids using open-source software, a generic PC and the internet can create a Google, a Yahoo! and a Facebook in their dorm room, and plug it in and it's working even before they've raised money. That takes all the innovation from the centre and pushes it to the edges -- into the little labs inside the Media Lab; inside dorm rooms; even inside terrorist cells. Suddenly the world is out of control -- the people innovating, disrupting, creating these tools, they're not scholars. They don't care about disciplines. They're antidisciplinary."

So when Ito was appointed, Negroponte wanted the press release headlined: "University dropout named director of Media Lab". "But," he says with raised eyebrows, "the fact that he didn't have a degree was buried near the last paragraph. That's the good Peter Thiel -- if you do drop out and do something creative, more power to you."

However, in order for education to work within the larger structure of integrated societal systems, clear outcomes are still needed.

How can we achieve learning targets when the educator is no longer able to control the actions of learners?

I’ve come to view teaching as a critical and needed activity in the chaotic and ambiguous information climate created by networks. In the future, however, the role of the teacher, the educator, will be dramatically different from the current norm. Views of teaching, of learner roles, of literacies, of expertise, of control, and of pedagogy are knotted together. Untying one requires untying the entire model.

Most likely, a teacher will be one of the more prominent nodes in a learner’s network. Thoughts, ideas, or messages that the teacher amplifies will generally have a greater probability of being seen by course participants.

A curatorial teacher acknowledges the autonomy of learners, yet understands the frustration of exploring unknown territories without a map. A curator is an expert learner. Instead of dispensing knowledge, he creates spaces in which knowledge can be created, explored, and connected.

The curator, in a learning context, arranges key elements of a subject in such a manner that learners will “bump into” them throughout the course. Instead of explicitly stating “you must know this”, the curator includes critical course concepts in her dialogue with learners, her comments on blog posts, her in-class discussions, and in her personal reflections. As learners grow their own networks of understanding, frequent encounters with conceptual artifacts shared by the teacher will begin to resonate.

When I first started learning about the internet (pre-web days), I felt like I had stepped into a alternate realm with its own norms of behaviour and conduct. Bulletin boards and chat rooms presented a challenging mix of navigating social protocols while developing technical skills. By engaging with these conversation spaces – and forming a few tentative connections with others – I was able to find a precarious foothold in the online medium.

Today’s social web is no different – we find our way through active exploration. Designers can aid the wayfinding process through consistency of design and functionality across various tools, but ultimately, it is the responsibility of the individual to click/fail/recoup and continue.

Social structures are filters. As a learner grows (and prunes) her personal networks, she also develops an effective means to filter abundance. The network becomes a cognitive agent in this instance – helping the learner to make sense of complex subject areas by relying not only on her own reading and resource exploration, but by permitting her social network to filter resources and draw attention to important topics. In order for these networks to work effectively, learners must be conscious of the need for diversity and should include nodes that offer critical or antagonistic perspectives on all topic areas. Sensemaking in complex environments is a social process.

Imagine a course where the fragmented conversations and content are analyzed (monitored) through a similar service. Instead of creating a structure of the course in advance of the students starting (the current model), course structure emerges through numerous fragmented interactions. “Intelligence” is applied after the content and interactions start, not before. This is basically what Google did for the web – instead of fully defined and meta-described resources in a database, organized according to subject areas (i.e. Yahoo at the time), intelligence was applied at the point of search. Aggregation should do the same – reveal the content and conversation structure of the course as it unfolds, rather than defining it in advance.

Educators often have years or decades of experience in a field. As such, they are familiar with many of the concepts, pitfalls, confusions, and distractions that learners are likely to encounter. As should be evident by now, the educator is an important agent in networked learning. Instead of being the sole or dominant filter of information, he now shares this task with other methods and individuals.

Filtering can be done in explicit ways – such as selecting readings around course topics – or in less obvious ways – such as writing summary blog posts around topics. Learning is an eliminative process. By determining what doesn’t belong, a learner develops and focuses his understanding of a topic. The teacher assists in the process by providing one stream of filtered information. The student is then faced with making nuanced selections based on the multiple information streams he encounters. The singular filter of the teacher has morphed into numerous information streams, each filtered according to different perspectives and world views.

During CCK08/09, one of Stephen’s statements that resonated with many learners centers on modelling as a teaching practice: “To teach is to model and to demonstrate. To learn is to practice and to reflect.”

Apprenticeship learning models are among the most effective in attending to the full breadth of learning. Apprenticeship is concerned with more than cognition and knowledge (to know about) – it also addresses the process of becoming a carpenter, plumber, or physician.

Without an online identity, you can’t connect with others – to know and be known. I don’t think I’m overstating the importance of have a presence in order to participate in networks. To teach well in networks – to weave a narrative of coherence with learners – requires a point of presence.

In CCK08/09, we used The Daily, the connectivism blog, elearnspace, OLDaily, Twitter, Facebook, Ning, Second Life, and numerous other tools to connect with learners. Persistent presence in the learning network is needed for the teacher to amplify, curate, aggregate, and filter content and to model critical thinking and cognitive attributes that reflect the needs of a discipline.

We’re

We’re still early in many of these trends. Many questions remain unanswered about privacy, ethics in networks, and assessment. My view is that change in education needs to be systemic and substantial. Education is concerned with content and conversations. The tools for controlling both content and conversation have shifted from the educator to the learner. We require a system that acknowledges this reality.

Aggregation had so much potential. And yet has delivered relatively little over the last decade.

Perhaps we need to spend more time in information abundant environments before we turn to aggregation as a means of making sense of the landscape.

I’d like a learning system that functions along the lines of RescueTime – actively monitoring what I’m doing – but then offers suggestions of what I should (or could) be doing additionally. Or a system that is aware of my email exchanges over the last several years and can provide relevant information based on the development of my thinking and work.

"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.