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Over time, this collective learning results in practices that reflect both the pursuit of our enterprises and the attendant social relations. These practices are thus the property of a kind of community created over time by the sustained pursuit of a shared enterprise. It makes sense, therefore to call these kinds of communities communities of practice. (Wenger 1998: 45)

Rather than looking to learning as the acquisition of certain forms of knowledge, Jean Lave and Etienne Wenger have tried to place it in social relationships – situations of co-participation.

The fact that they are organizing around some particular area of knowledge and activity gives members a sense of joint enterprise and identity. For a community of practice to function it needs to generate and appropriate a shared repertoire of ideas, commitments and memories. It also needs to develop various resources such as tools, documents, routines, vocabulary and symbols that in some way carry the accumulated knowledge of the community.

The interactions involved, and the ability to undertake larger or more complex activities and projects though cooperation, bind people together and help to facilitate relationship and trust

The characteristics of communities of practice According to Etienne Wenger (c 2007), three elements are crucial in distinguishing a community of practice from other groups and communities: The domain. A community of practice is is something more than a club of friends or a network of connections between people. 'It has an identity defined by a shared domain of interest. Membership therefore implies a commitment to the domain, and therefore a shared competence that distinguishes members from other people' (op. cit.). The community. 'In pursuing their interest in their domain, members engage in joint activities and discussions, help each other, and share information. They build relationships that enable them to learn from each other' (op. cit.). The practice. 'Members of a community of practice are practitioners. They develop a shared repertoire of resources: experiences, stories, tools, ways of addressing recurring problems—in short a shared practice. This takes time and sustained interaction' (op. cit.).

Initially people have to join communities and learn at the periphery. The things they are involved in, the tasks they do may be less key to the community than others.

One of the implications for schools, as Barbara Rogoff and her colleagues suggest is that they must prioritize 'instruction that builds on children's interests in a collaborative way'. Such schools need also to be places where 'learning activities are planned by children as well as adults, and where parents and teachers not only foster children's learning but also learn from their own involvement with children' (2001: 3). Their example in this area have particular force as they are derived from actual school practice.

It not so much that learners acquire structures or models to understand the world, but they participate in frameworks that that have structure. Learning involves participation in a community of practice. And that participation 'refers not just to local events of engagement in certain activities with certain people, but to a more encompassing process of being active participants in the practices of social communities and constructing identities in relation to these communities' (Wenger 1999: 4).

What is more, and in contrast with learning as internalization, ‘learning as increasing participation in communities of practice concerns the whole person acting in the world’ (Lave and Wenger 1991: 49). The focus is on the ways in which learning is ‘an evolving, continuously renewed set of relations’ (ibid.: 50). In other words, this is a relational view of the person and learning (see the discussion of selfhood).

'the purpose is not to learn from talk as a substitute for legitimate peripheral participation; it is to learn to talk as a key to legitimate peripheral participation'. This orientation has the definite advantage of drawing attention to the need to understand knowledge and learning in context. However, situated learning depends on two claims: It makes no sense to talk of knowledge that is decontextualized, abstract or general. New knowledge and learning are properly conceived as being located in communities of practice (Tennant 1997: 77).

There is a risk, as Jean Lave and Etienne Wenger acknowledge, of romanticizing communities of practice.

'In their eagerness to debunk testing, formal education and formal accreditation, they do not analyse how their omission [of a range of questions and issues] affects power relations, access, public knowledge and public accountability' (Tennant 1997: 79).

Perhaps the most helpful of these explorations is that of Barbara Rogoff and her colleagues (2001). They examine the work of an innovative school in Salt Lake City and how teachers, students and parents were able to work together to develop an approach to schooling based around the principle that learning 'occurs through interested participation with other learners'.

Learning is in the relationships between people. As McDermott (in Murphy 1999:17) puts it: Learning traditionally gets measured as on the assumption that it is a possession of individuals that can be found inside their heads… [Here] learning is in the relationships between people. Learning is in the conditions that bring people together and organize a point of contact that allows for particular pieces of information to take on a relevance; without the points of contact, without the system of relevancies, there is not learning, and there is little memory. Learning does not belong to individual persons, but to the various conversations of which they are a part.

Learning is, thus, not seen as the acquisition of knowledge by individuals so much as a process of social participation. The nature of the situation impacts significantly on the process.

hat, exactly, constitutes a valid, original work? What are the implications for how we assess and reward creativity? Can a college or university tap the same sources of innovative talent and energy as Google or Flickr? What are the risks of permitting or opening up to this activity?

Remix is the reworking or adaptation of an existing work. The remix may be subtle, or it may completely redefine how the work comes across. It may add elements from other works, but generally efforts are focused on creating an alternate version of the original. A mashup, on the other hand, involves the combination of two or more works that may be very different from one another. In this article, I will apply these terms both to content remixes and mashups, which originated as a music form but now could describe the mixing of any number of digital media sources, and to data mashups, which combine the data and functionalities of two or more Web applications.

Harper's article "The Ecstasy of Influence," the novelist Jonathan Lethem imaginatively reviews the history of appropriation and recasts it as essential to the act of creation.3

Lethem's article is a must-read for anyone with an interest in the history of ideas, creativity, and intellectual property. It brilliantly synthesizes multiple disciplines and perspectives into a wonderfully readable and compelling argument. It is also, as the subtitle of his article acknowledges, "a plagiarism." Virtually every passage is a direct lift from another source, as the author explains in his "Key," which gives the source for every line he "stole, warped, and cobbled together." (He also revised "nearly every sentence" at least slightly.) Lethem's ideas noted in the paragraph above were appropriated from Siva Vaidhyanathan, Craig Baldwin, Richard Posner, and George L. Dillon.

Reading Walter Benjamin's highly influential 1936 essay "The Work of Art in the Age of Mechanical Reproduction,"4 it's clear that the profound effects of reproductive technology were obvious at that time. As Gould argued in 1964 (influenced by theorists such as Marshall McLuhan5), changes in how art is produced, distributed, and consumed in the electronic age have deep effects on the character of the art itself.

Yet the technology developments of the past century have clearly corresponded with a new attitude toward the "aura" associated with a work of invention and with more aggressive attitudes toward appropriation. It's no mere coincidence that the rise of modernist genres using collage techniques and more fragmented structures accompanied the emergence of photography and audio recording.

Educational technologists may wonder if "remix" or "content mashup" are just hipper-sounding versions of the learning objects vision that has absorbed so much energy from so many talented people—with mostly disappointing results.

The question is, why should a culture of remix take hold when the learning object economy never did?

when most learning object repositories were floundering, resource-sharing services such as del.icio.us and Flickr were enjoying phenomenal growth, with their user communities eagerly contributing heaps of useful metadata via simple folksonomy-oriented tagging systems.

the standards/practices relationship implicit in the learning objects model has been reversed. With only the noblest of intentions, proponents of learning objects (and I was one of them) went at the problem of promoting reuse by establishing an arduous and complex set of interoperability standards and then working to persuade others to adopt those standards. Educators were asked to take on complex and ill-defined tasks in exchange for an uncertain payoff. Not surprisingly, almost all of them passed.

Discoverable Resources

Educators might justifiably argue that their materials are more authoritative, reliable, and instructionally sound than those found on the wider Web, but those materials are effectively rendered invisible and inaccessible if they are locked inside course management systems.

It's a dirty but open secret that many courses in private environments use copyrighted third-party materials in a way that pushes the limits of fair use—third-party IP is a big reason why many courses cannot easily be made open.

The potential payoff for using open and discoverable resources, open and transparent licensing, and open and remixable formats is huge: more reuse means that more dynamic content is being produced more economically, even if the reuse happens only within an organization. And when remixing happens in a social context on the open web, people learn from each other's process.

Part of making a resource reusable involves making the right choices for file formats.

To facilitate the remixing of materials, educators may want to consider making the source files that were used to create a piece of multimedia available along with the finished result.

In addition to choosing the right file format and perhaps offering the original sources, another issue to consider when publishing content online is the critical question: "Is there an RSS feed available?" If so, conversion tools such as Feed2JS (http://www.feed2JS.org) allow for the republication of RSS-ified content in any HTML Web environment, including a course management system, simply by copying and pasting a few lines of JavaScript code. When an original source syndicated with RSS is updated, that update is automatically rendered anywhere it has been republished.

Jack Schofield

Guardian Unlimited

"An API provides an interface and a set of rules that make it much easier to extract data from a website. It's a bit like a record company releasing the vocals, guitars and drums as separate tracks, so you would not have to use digital processing to extract the parts you wanted."1

What's new about mashed-up application development? In a sense, the factors that have promoted this approach are the same ones that have changed so much else about Web culture in recent years. Essential hardware and software has gotten more powerful and for the most part cheaper, while access to high-speed connectivity and the enhanced quality of online applications like Google Docs have improved to the point that Tim O'Reilly and others can talk of "the emergent Internet operating system."15 The growth of user-centered technologies such as blogs have fostered a DIY ("do it yourself") culture that increasingly sees online interaction as something that can be personalized and adapted on the individual level. As described earlier, light syndication and service models such as RSS have made it easier and faster than ever to create simple integrations of diverse media types. David Berlind, executive editor of ZDNet, explains: "With mashups, fewer technical skills are needed to become a developer than ever. Not only that, the simplest ones can be done in 10 or 15 minutes. Before, you had to be a pretty decent code jockey with languages like C++ or Visual Basic to turn your creativity into innovation. With mashups, much the same way blogging systems put Web publishing into the hands of millions of ordinary non-technical people, the barrier to developing applications and turning creativity into innovation is so low that there's a vacuum into which an entire new class of developers will be sucked."16

The ability to "clone" other users' mashups is especially exciting: a newcomer does not need to spend time learning how to structure the data flows but can simply copy an existing framework that looks useful and then make minor modifications to customize the result.19

As with content remixing, open access to materials is not just a matter of some charitable impulse to share knowledge with the world; it is a core requirement for participating in some of the most exciting and innovative activity on the Web.

"My Maps" functionality

For those still wondering what the value proposition is for offering an open API, Google's development process offers a compelling example of the potential rewards.

Elsewhere, it is difficult to point to significant activity suggesting that the mashup ethos is taking hold in academia the way it is on the wider Web.

Yet for the most part, the notion of the data mashup and the required openness is not even a consideration in discussions of technology strategy in higher educational institutions. "Data integration" across campus systems is something that is handled by highly skilled professionals at highly skilled prices.

Revealing how a more adventurous and inclusive online development strategy might look on campus, Raymond Yee recently posted a comprehensive proposal for his university (UC Berkeley), in which he outlined a "technology platform" not unlike the one employed by Amazon.com (http://aws.amazon.com/)—resources and access that would be invaluable for the institution's programmers as well as for outside interests to build complementary services.

All too often, college and university administrators react to this type of innovation with suspicion and outright hostility rather than cooperation.

those of us in higher education who observe the successful practices in the wider Web world have an obligation to consider and discuss how we might apply these lessons in our own contexts. We might ask if the content we presently lock down could be made public with a license specifying reasonable terms for reuse. When choosing a content management system, we might consider how well it supports RSS syndication. In an excellent article in the March/April 2007 issue of EDUCAUSE Review, Joanne Berg, Lori Berquam, and Kathy Christoph listed a number of campus activities that could benefit from engaging social networking technologies.26

What might happen if we allow our campus innovators to integrate their practices in these areas in the same way that social networking application developers are already integrating theirs? What is the mission-critical data we cannot expose, and what can we expose with minimal risk? And if the notion of making data public seems too radical a step, can APIs be exposed to selected audiences, such as on-campus developers or consortia partners?

a time when scholarship, and how we make it available, will be affected by information abundance just as powerfully as food preparation has been.

Scholarly communication before the Internet required the intermediation of publishers. The costliness of publishing became an invisible constraint that drove nearly all of our decisions. It became the scholar's job to be a selector and interpreter of difficult-to-find primary and secondary sources; it was the scholarly publisher's job to identify the best scholars with the best perspective and the best access to scarce resources.

Online scholarly publishing in Web 1.0 mimicked those fundamental conceptions. The presumption was that information scarcity still ruled. Most content was closed to nonsubscribers; exceedingly high subscription costs for specialty journals were retained; libraries continued to be the primary market; and the "authoritative" version was untouched by comments from the uninitiated. Authority was measured in the same way it was in the scarcity world of paper: by number of citations to or quotations from a book or article, the quality of journals in which an article was published, the institutional affiliation of the author, etc.

Google

Google

The challenge for all those sites pertains to abundance:

Such systems have not been framed to confer authority, but as they devise means to deal with predators, scum, and weirdos wanting to be a "friend," they are likely to expand into "trust," or "value," or "vouching for my friend" metrics — something close to authority — in the coming years.

ecently some more "authoritative" editors have been given authority to override whining ax grinders.

In many respects Boing Boing is an old-school edited resource. It doesn't incorporate feedback or comments, but rather is a publication constructed by five editor-writers

As the online environment matures, most social spaces in many disciplines will have their own "boingboings."

They differ from current models mostly by their feasible computability in a digital environment where all elements can be weighted and measured, and where digital interconnections provide computable context.

In the very near future, if we're talking about a universe of hundreds of billions of documents, there will routinely be thousands, if not tens of thousands, if not hundreds of thousands, of documents that are very similar to any new document published on the Web. If you are writing a scholarly article about the trope of smallpox in Shakespearean drama, how do you ensure you'll be read? By competing in computability. Encourage your friends and colleagues to link to your online document. Encourage online back-and-forth with interested readers. Encourage free access to much or all of your scholarly work. Record and digitally archive all your scholarly activities. Recognize others' works via links, quotes, and other online tips of the hat. Take advantage of institutional repositories, as well as open-access publishers. The list could go on.

the new authority metrics, instead of relying on scholarly publishers to establish the importance of material for them.

They need to play a role in deciding not just what material will be made available online, but also how the public will be allowed to interact with the material. That requires a whole new mind-set.

cholarly publishers

Many of the values of scholarship are not well served yet by the Web: contemplation, abstract synthesis, construction of argument.

Traditional models of authority will probably hold sway in the scholarly arena for 10 to 15 years, while we work out the ways in which scholarly engagement and significance can be measured in new kinds of participatory spaces.

if scholarly output is locked away behind fire walls, or on hard drives, or in print only, it risks becoming invisible to the automated Web crawlers, indexers, and authority-interpreters that are being developed. Scholarly invisibility is rarely the path to scholarly authority.

Web 1.0,

garbed new business and publishing models in 20th-century clothes.

fundamental presumption is one of endless information abundance.

Flickr, YouTube

micromarkets

multiple demographics

Abundance leads to immediate context and fact checking, which changes the "authority market" substantially. The ability to participate in most online experiencesvia comments, votes, or ratingsis now presumed, and when it's not available, it's missed.

Google interprets a link from Page A to Page B as a vote, by Page A, for Page B. But, Google looks at more than the sheer volume of votes, or links a page receives; for example, it also analyzes the page that casts the vote. Votes cast by pages that are themselves 'important' weigh more heavily and help to make other pages 'important,'"

It has its limits, but it also both confers and confirms authority because people tend to point to authoritative sources to bolster their own work.

That kind of democratization of authority is nearly unique to wikis that are group edited, since not observation, but active participation in improvement, is the authority metric.

user-generated authority, many of which are based on algorithmic analysis of participatory engagement. The emphasis in such models is often not on finding scarce value, but on weeding abundance

Authority 3.0 will probably include (the list is long, which itself is a sign of how sophisticated our new authority makers will have to be): Prestige of the publisher (if any). Prestige of peer prereviewers (if any). Prestige of commenters and other participants. Percentage of a document quoted in other documents. Raw links to the document. Valued links, in which the values of the linker and all his or her other links are also considered. Obvious attention: discussions in blogspace, comments in posts, reclarification, and continued discussion. Nature of the language in comments: positive, negative, interconnective, expanded, clarified, reinterpreted. Quality of the context: What else is on the site that holds the document, and what's its authority status? Percentage of phrases that are valued by a disciplinary community. Quality of author's institutional affiliation(s). Significance of author's other work. Amount of author's participation in other valued projects, as commenter, editor, etc. Reference network: the significance rating of all the texts the author has touched, viewed, read. Length of time a document has existed. Inclusion of a document in lists of "best of," in syllabi, indexes, and other human-selected distillations. Types of tags assigned to it, the terms used, the authority of the taggers, the authority of the tagging system.

Most technophile thinkers out there believe that Web 3.0 will be driven by artificial intelligences — automated computer-assisted systems that can make reasonable decisions on their own, to preselect, precluster, and prepare material based on established metrics, while also attending very closely to the user's individual actions, desires, and historic interests, and adapting to them.