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most profound impact of the Internet, an impact that has yet to be fully realized, is its ability to support and expand the various aspects of social learning. What do we mean by “social learning”? Perhaps the simplest way to explain this concept is to note that social learning is based on the premise that our understanding of content is socially constructed through conversations about that content and through grounded interactions, especially with others, around problems or actions. The focus is not so much on what we are learning but on how we are learning.5

This perspective shifts the focus of our attention from the content of a subject to the learning activities and human interactions around which that content is situated. This perspective also helps to explain the effectiveness of study groups. Students in these groups can ask questions to clarify areas of uncertainty or confusion, can improve their grasp of the material by hearing the answers to questions from fellow students, and perhaps most powerfully, can take on the role of teacher to help other group members benefit from their understanding (one of the best ways to learn something is, after all, to teach it to others).

This encourages the practice of what John Dewey called “productive inquiry”—that is, the process of seeking the knowledge when it is needed in order to carry out a particular situated task.

ecoming a trusted contributor to Wikipedia involves a process of legitimate peripheral participation that is similar to the process in open source software communities. Any reader can modify the text of an entry or contribute new entries. But only more experienced and more trusted individuals are invited to become “administrators” who have access to higher-level editing tools.8

by clicking on tabs that appear on every page, a user can easily review the history of any article as well as contributors’ ongoing discussion of and sometimes fierce debates around its content, which offer useful insights into the practices and standards of the community that is responsible for creating that entry in Wikipedia. (In some cases, Wikipedia articles start with initial contributions by passionate amateurs, followed by contributions from professional scholars/researchers who weigh in on the “final” versions. Here is where the contested part of the material becomes most usefully evident.) In this open environment, both the content and the process by which it is created are equally visible, thereby enabling a new kind of critical reading—almost a new form of literacy—that invites the reader to join in the consideration of what information is reliable and/or important.

Mastering a field of knowledge involves not only “learning about” the subject matter but also “learning to be” a full participant in the field. This involves acquiring the practices and the norms of established practitioners in that field or acculturating into a community of practice.

But viewing learning as the process of joining a community of practice reverses this pattern and allows new students to engage in “learning to be” even as they are mastering the content of a field.

Another interesting experiment in Second Life was the Harvard Law School and Harvard Extension School fall 2006 course called “CyberOne: Law in the Court of Public Opinion.” The course was offered at three levels of participation. First, students enrolled in Harvard Law School were able to attend the class in person. Second, non–law school students could enroll in the class through the Harvard Extension School and could attend lectures, participate in discussions, and interact with faculty members during their office hours within Second Life. And at the third level, any participant in Second Life could review the lectures and other course materials online at no cost. This experiment suggests one way that the social life of Internet-based virtual education can coexist with and extend traditional education.

Digital StudyHall (DSH), which is designed to improve education for students in schools in rural areas and urban slums in India. The project is described by its developers as “the educational equivalent of Netflix + YouTube + Kazaa.”11 Lectures from model teachers are recorded on video and are then physically distributed via DVD to schools that typically lack well-trained instructors (as well as Internet connections). While the lectures are being played on a monitor (which is often powered by a battery, since many participating schools also lack reliable electricity), a “mediator,” who could be a local teacher or simply a bright student, periodically pauses the video and encourages engagement among the students by asking questions or initiating discussions about the material they are watching.

John King, the associate provost of the University of Michigan

For the past few years, he points out, incoming students have been bringing along their online social networks, allowing them to stay in touch with their old friends and former classmates through tools like SMS, IM, Facebook, and MySpace. Through these continuing connections, the University of Michigan students can extend the discussions, debates, bull sessions, and study groups that naturally arise on campus to include their broader networks. Even though these extended connections were not developed to serve educational purposes, they amplify the impact that the university is having while also benefiting students on campus.14 If King is right, it makes sense for colleges and universities to consider how they can leverage these new connections through the variety of social software platforms that are being established for other reasons.

The project’s website includes reports of how students, under the guidance of professional astronomers, are using the Faulkes telescopes to make small but meaningful contributions to astronomy.

“This is not education in which people come in and lecture in a classroom. We’re helping students work with real data.”16

HOU invites students to request observations from professional observatories and provides them with image-processing software to visualize and analyze their data, encouraging interaction between the students and scientists

The site is intended to serve as “an open forum for worldwide discussions on the Decameron and related topics.” Both scholars and students are invited to submit their own contributions as well as to access the existing resources on the site. The site serves as an apprenticeship platform for students by allowing them to observe how scholars in the field argue with each other and also to publish their own contributions, which can be relatively small—an example of the “legitimate peripheral participation” that is characteristic of open source communities. This allows students to “learn to be,” in this instance by participating in the kind of rigorous argumentation that is generated around a particular form of deep scholarship. A community like this, in which students can acculturate into a particular scholarly practice, can be seen as a virtual “spike”: a highly specialized site that can serve as a global resource for its field.

I posted a list of links to all the student blogs and mentioned the list on my own blog. I also encouraged the students to start reading one another's writing. The difference in the writing that next week was startling. Each student wrote significantly more than they had previously. Each piece was more thoughtful. Students commented on each other's writing and interlinked their pieces to show related or contradicting thoughts. Then one of the student assignments was commented on and linked to from a very prominent blogger. Many people read the student blogs and subscribed to some of them. When these outside comments showed up, indicating that the students really were plugging into the international community's discourse, the quality of the writing improved again. The power of peer review had been brought to bear on the assignments.17

for any topic that a student is passionate about, there is likely to be an online niche community of practice of others who share that passion.

Finding and joining a community that ignites a student’s passion can set the stage for the student to acquire both deep knowledge about a subject (“learning about”) and the ability to participate in the practice of a field through productive inquiry and peer-based learning (“learning to be”). These communities are harbingers of the emergence of a new form of technology-enhanced learning—Learning 2.0—which goes beyond providing free access to traditional course materials and educational tools and creates a participatory architecture for supporting communities of learners.

We need to construct shared, distributed, reflective practicums in which experiences are collected, vetted, clustered, commented on, and tried out in new contexts.

An example of such a practicum is the online Teaching and Learning Commons (http://commons.carnegiefoundation.org/) launched earlier this year by the Carnegie Foundation for the Advancement of Teaching

The Commons is an open forum where instructors at all levels (and from around the world) can post their own examples and can participate in an ongoing conversation about effective teaching practices, as a means of supporting a process of “creating/using/re-mixing (or creating/sharing/using).”20

The original World Wide Web—the “Web 1.0” that emerged in the mid-1990s—vastly expanded access to information. The Open Educational Resources movement is an example of the impact that the Web 1.0 has had on education.

But the Web 2.0, which has emerged in just the past few years, is sparking an even more far-reaching revolution. Tools such as blogs, wikis, social networks, tagging systems, mashups, and content-sharing sites are examples of a new user-centric information infrastructure that emphasizes participation (e.g., creating, re-mixing) over presentation, that encourages focused conversation and short briefs (often written in a less technical, public vernacular) rather than traditional publication, and that facilitates innovative explorations, experimentations, and purposeful tinkerings that often form the basis of a situated understanding emerging from action, not passivity.

In the twentieth century, the dominant approach to education focused on helping students to build stocks of knowledge and cognitive skills that could be deployed later in appropriate situations. This approach to education worked well in a relatively stable, slowly changing world in which careers typically lasted a lifetime. But the twenty-first century is quite different.

We now need a new approach to learning—one characterized by a demand-pull rather than the traditional supply-push mode of building up an inventory of knowledge in students’ heads. Demand-pull learning shifts the focus to enabling participation in flows of action, where the focus is both on “learning to be” through enculturation into a practice as well as on collateral learning.

The demand-pull approach is based on providing students with access to rich (sometimes virtual) learning communities built around a practice. It is passion-based learning, motivated by the student either wanting to become a member of a particular community of practice or just wanting to learn about, make, or perform something. Often the learning that transpires is informal rather than formally conducted in a structured setting. Learning occurs in part through a form of reflective practicum, but in this case the reflection comes from being embedded in a community of practice that may be supported by both a physical and a virtual presence and by collaboration between newcomers and professional practitioners/scholars.

The building blocks provided by the OER movement, along with e-Science and e-Humanities and the resources of the Web 2.0, are creating the conditions for the emergence of new kinds of open participatory learning ecosystems23 that will support active, passion-based learning: Learning 2.0.

As a graduate student at UC-Berkeley in the late 1970s, Treisman worked on the poor performance of African-Americans and Latinos in undergraduate calculus classes. He discovered the problem was not these students’ lack of motivation or inadequate preparation but rather their approach to studying. In contrast to Asian students, who, Treisman found, naturally formed “academic communities” in which they studied and learned together, African-Americans tended to separate their academic and social lives and studied completely on their own. Treisman developed a program that engaged these students in workshop-style study groups in which they collaborated on solving particularly challenging calculus problems. The program was so successful that it was adopted by many other colleges. See Uri Treisman, “Studying Students Studying Calculus: A Look at the Lives of Minority Mathematics Students in College,” College Mathematics Journal, vol. 23, no. 5 (November 1992), pp. 362–72, http://math.sfsu.edu/hsu/workshops/treisman.html.

In the early 1970s, Stanford University Professor James Gibbons developed a similar technique, which he called Tutored Videotape Instruction (TVI). Like DSH, TVI was based on showing recorded classroom lectures to groups of students, accompanied by a “tutor” whose job was to stop the tape periodically and ask questions. Evaluations of TVI showed that students’ learning from TVI was as good as or better than in-classroom learning and that the weakest students academically learned more from participating in TVI instruction than from attending lectures in person. See J. F. Gibbons, W. R. Kincheloe, and S. K. Down, “Tutored Video-tape Instruction: A New Use of Electronics Media in Education,” Science, vol. 195 (1977), pp. 1136–49.

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.