The 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
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Minds on Fire: Open Education, the Long Tail, and Learning 2.0 (EDUCAUSE Review) | EDUC... - 0 views
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The openness of Wikipedia is instructive in another way: 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.
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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. 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.
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A very different sort of initiative that is using technology to leverage social learning is Digital StudyHall (DSH), which is designed to improve education for students in schools in rural areas and urban slums in India.
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many students in the United States and in many other parts of the world are already involved with online social networks that include their friends. John King, the associate provost of the University of Michigan, has attempted to bring attention to this phenomenon by asking how many students are being taught each year by his institution. Although about 40,000 students are enrolled in classes on the university’s campus in Ann Arbor, King believes that the actual number of students being reached by the school today is closer to 250,000.13
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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.
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Hands-On Universe (HOU) is also designed to promote collaborative learning in astronomy (http://www.handsonuniverse.org). Based at the Lawrence Hall of Science, University of California, Berkeley, 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. According to Kyle Cudworth, the science director at Yerkes Observatory, which is part of the HOU network: “This is not education in which people come in and lecture in a classroom. We’re helping students work with real data.”16
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the emphasis is on building a community of students and scholars as much as on providing access to educational content.
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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.
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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.
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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
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We are entering a world in which we all will have to acquire new knowledge and skills on an almost continuous basis.
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Light discovered that one of the strongest determinants of students’ success in higher education—more important than the details of their instructors’ teaching styles—was their ability to form or participate in small study groups. Students who studied in groups, even only once a week, were more engaged in their studies, were better prepared for class, and learned significantly more than students who worked on their own.6
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We need to construct shared, distributed, reflective practicums in which experiences are collected, vetted, clustered, commented on, and tried out in new contexts.
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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.
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Social Media is Killing the LMS Star - A Bootleg of Bryan Alexander's Lost Presentation... - 0 views
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Unfortunately, this margin and that niche don’t map well onto each other, to the extent that education extends beyond single classes and connects with the world.
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CMSes offer versions of most of these, but in a truncated way. Students can publish links to external objects, but can’t link back in. (In fact, a Blackboard class is a fine place to control access to content for one concerned about “deep linking”) An instructor can assign a reading group consisting of students in one’s class, but no one else. These virtual classes are like musical practice rooms, small chambers where one may try out the instrument in silent isolation. It is not connectivism but disconnectivism.
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professors can readily built media criticism assignments into class spaces. These experiences are analogous to the pre-digital classroom, and can work well enough. But both refuse to engage with today’s realities, namely that media are deeply shaped by the social. Journaling privately, restricted to an audience not of the writer’s choosing, is unusual.
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We’ve seen an explosion in computer-mediated teaching and learning practices based on Web 2.0, in variety and scope too broad to summarize here. Think of the range from class blogs to Wikipedia writing exercises, profcasting to Twitter class announcements, mashups and academic library folksonomies and researchers’ social bookmarking subscriptions. CMSes react in the following ways: first, by simply not recapitulating these functions; second, by imitating them in delayed, limited fashions; third, by attempting them in a marginal way (example: Blackboard’s Scholar.com). CMSes are retrograde in a Web 2.0 teaching world.
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CMSes shift from being merely retrograde to being actively regressive if we consider the broader, subtler changes in the digital teaching landscape. Web 2.0 has rapidly grown an enormous amount of content through what Yochai Benkler calls “peer-based commons production.” One effect of this has been to grow a large area for informal learning, which students (and staff) access without our benign interference.
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Moreover, those curious about teaching with social media have easy access to a growing, accessible community of experienced staff by means of those very media. A meta-community of Web 2.0 academic practitioners is now too vast to catalogue. Academics in every discipline blog about their work. Wikis record their efforts and thoughts, as do podcasts. The reverse is true of the CMS, the very architecture of which forbids such peer-to-peer information sharing. For example, the Resource Center for Cyberculture Studies (RCCS) has for many years maintained a descriptive listing of courses about digital culture across the disciplines. During the 1990s that number grew with each semester. But after the explosive growth of CMSes that number dwindled. Not the number of classes taught, but the number of classes which could even be described. According to the RCCS’ founder, David Silver (University of San Francisco), this is due to the isolation of class content in CMS containers.
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If we focus on the copyright issue, then the CMS makes for an apparently adequate shield. It also represents an uncritical acceptance of one school of copyright practice, as it enforces one form of fair use through software. However, it does not open up the question of copyright. Compare, for example, with the Creative Commons option increasingly available to content authors in platforms such as Flickr or WordPress. That experiential, teachable moment of selecting one’s copyright stance is eliminated by the CMS.
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Yet does this argument seem familiar, somehow? It was made during the 1990s, once the first Web ballooned, and new forms of information anxiety appeared. Mentioning this historicity is not intended as a point of style, but to remind the audience that, since this is an old problem, we have been steadily evolving solutions. Indeed, ever since the 20th century we can point to practices – out in the open, wild Web! – which help users cope with informational chaos. These include social sifting, information literacy, using the wisdom of crowds, and others. Such strategies are widely discussed, easily accessed, and continually revised and honed. Most of these skills are not well suited to the walled garden environment, but can be discussed there, of course. Without undue risk of exposure.
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Put another way, we can sum up the CMS alternative to Web 2.0’s established and evolving pedagogies as a sort of corporate model. This doesn’t refer to the fact that the leading CMS is a business product, produced by a fairly energetic marketplace player. No, the architecture of CMSes recapitulates several aspects of modern business. It enforces copyright compliance. It resembles an intranet, akin to those run by many enterprises. It protects users from external challenges, in true walled garden style. Indeed, at present, radio CMS is the Clear Channel of online learning.
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The academic uses of realtime search follow the pre-Web pedagogy of seeking timely references to a classroom topic. Think of a professor bringing a newspaper to class, carrying a report about the very subject under discussion. How can this be utilized practically? Faculty members can pick a Web service (Google News, Facebook, Twitter) and search themselves, sharing results; or students can run such queries themselves.
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Over the past near-decade CMSes have not only grown in scale, but feature development. Consider the variety: gradebooks, registrar system integration, e-Reserve integration, discussion tools, drop boxes, news alerts. Consider too the growth of parallel Web 2.0 tools: wikis, blogs, social bookmarking, podcasting.
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Now to compare CMSes and Web 2.0: imagine an alternate history, a counterfactual, whereby the world outside academia had Blackboard instead of Web 2.0: § White House health care reform debates: each citizen must log into a town-hall-associated “class,” registering by zip code and social security number. Information is exchanged between “town classes” via email. Relevant documents can be found, often in .doc format, by logging into one’s town class.
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§ Iranian activists collaborate via classes, frantically switching logins and handles to keep government authorities from registering and snooping. § “Citizen media” barely exist. Instead we rely on established authorities (CNN, BBC, Xinua, etc) to sift, select, and, eventually, republish rare selections of user-generated media. § Wikipedia, Flickr and Picasa, the blogosphere, Facebook and MySpace, the world of podcasting simply don’t exist. Instead, we rely on static, non-communicable Web documents, and consult the occasional e-Reserve, sometimes on a purchased DVD. § The Recording Industry Association of America (RIAA) maintains fan clubs, small, temporary groups where fans of certain bands and artists can sign in and listen to time-limited, DRM’d music. “It’s like tape trading, but legal!” says one promotional campaign.
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Once we had Bertold Brecht writing plays for radio, neighborhood-based radio shows, and the stupendous Orson Wells; then we moved on, through payola, and onto Kasey Kasem and Clear Channel.
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For now, the CMS landsape is a multi-institutional dark Web, an invisible, unsearchable, un-mash-up-able archipelago of hidden learning content.
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Can the practice of using a CMS prepare either teacher or student to think critically about this new shape for information literacy? Moreover, can we use the traditional CMS to share thoughts and practices about this topic?
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Now your iPhone can track your position on that custom map image as easily as it can on Google maps.”
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What world is better placed to connect academia productively with such projects, the open social Web or the CMS?
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CMS. What is it best used for? We have said little about its integration with campus information systems, but these are critical for class (not learning) management, from attendance to grading. Web 2.0 has yet to replace this function. So imagine the CMS function of every class much like class email, a necessary feature, but not by any means the broadest technological element. Similarly the e-reserves function is of immense practical value. There may be no better way to share copyrighted academic materials with a class, at this point. These logistical functions could well play on.
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It makes for a separation from the social media world, a paused space, perhaps one fertile for reflection. If that works for some situations, then it works, and should be selected… consciously, not as a default or unreflective option, but as the result of a pedagogical decision process.
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Why Wordle-By Steven W. Anderson - 0 views
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@mrsmac75-As a starter for students to try and guess where we're going with our lesson and create their own learning outcomes. @ktenkely-I use Wordle as warm up. I hate the question, "What are we doing today." I give word clues about what we are doing in class.
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Planning for Neomillennial Learning Styles: Implications for Investments in Technology ... - 0 views
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Research indicates that each of these media, when designed for education, fosters particular types of interactions that enable—and undercut—various learning styles.
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The familiar "world to the desktop." Provides access to distant experts and archives and enables collaborations, mentoring relationships, and virtual communities of practice. This interface is evolving through initiatives such as Internet2. "Alice in Wonderland" multiuser virtual environments (MUVEs). Participants' avatars (self-created digital characters) interact with computer-based agents and digital artifacts in virtual contexts. The initial stages of studies on shared virtual environments are characterized by advances in Internet games and work in virtual reality. Ubiquitous computing. Mobile wireless devices infuse virtual resources as we move through the real world. The early stages of "augmented reality" interfaces are characterized by research on the role of "smart objects" and "intelligent contexts" in learning and doing.
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Potentially quite powerful, situated learning is much less used for instruction than behaviorist or cognitivist approaches. This is largely because creating tacit, relatively unstructured learning in complex real-world settings is difficult.
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Net Generation learning styles stem primarily from the world-to-the-desktop interface; however, the growing prevalence of interfaces to virtual environments and augmented realities is beginning to foster so-called neomillennial learning styles in users of all ages.
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That's an interesting question - sometimes I think we are already on the other side of this, meaning we've already passed it in some ways. Last night I was out for dinner at the Main Street and I saw something that was a little crazy. My husband and I were using my cellphone to look up words that would help trigger a creative name for his new company - a UConn professor (who shall remain unnamed :)) was using his iPhone for something other than a phone call - and the women at the table across from me were also engaged in half converstation - half text message/email, etc. The reason that I bring this up is that all of these people, myself included, are NOT part of the millenial generation (way past I'm afraid!) and we were using this stuff. As history goes - if the "grown-ups" are using it, the kids are over it and on to something else.
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Immersion is the subjective impression that one is participating in a comprehensive, realistic experience.
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Beyond actional and symbolic immersion, advances in interface technology are now creating virtual environments and augmented realities that induce a psychological sense of sensory and physical immersion.
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Inducing a participant's symbolic immersion involves triggering powerful semantic associations via the content of an experience.
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The research on virtual reality Salzman and I conducted on frames of reference found that the exocentric and the egocentric FORs have different strengths for learning. Our studies established that learning ideally involves a "bicentric" perspective alternating between egocentric and exocentric FORs.
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The capability of computer interfaces to foster psychological immersion enables technology-intensive educational experiences that draw on a powerful pedagogy: situated learning.
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The major schools of thought cited are behaviorist theories of learning (presentational instruction), cognitivist theories of learning (tutoring and guided learning by doing), and situated theories of learning (mentoring and apprenticeships in communities of practice).
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Situated learning requires authentic contexts, activities, and assessment coupled with guidance from expert modeling, mentoring, and "legitimate peripheral participation."8 As an example of legitimate peripheral participation, graduate students work within the laboratories of expert researchers, who model the practice of scholarship. These students interact with experts in research as well as with other members of the research team who understand the complex processes of scholarship to varying degrees. While in these laboratories, students gradually move from novice researchers to more advanced roles, with the skills and expectations for them evolving.
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But what is so special about the egocentric perspectives and situated learning now enabled by emerging media? After all, each of us lives with an egocentric perspective in the real world and has many opportunities for situated learning without using technology. One attribute that makes mediated immersion different and powerful is the ability to access information resources and psychosocial community distributed across distance and time, broadening and deepening experience. A second important attribute is the ability to create interactions and activities in mediated experience not possible in the real world, such as teleporting within a virtual environment, enabling a distant person to see a real-time image of your local environment, or interacting with a (simulated) chemical spill in a busy public setting. Both of these attributes are actualized in the Alice-in-Wonderland interface.
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Initial research on Environmental Detectives and other AR-based educational simulations demonstrates that this type of immersive, situated learning can effectively engage students in critical thinking about authentic scenarios.
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However, virtual environments and ubiquitous computing can draw on the power of situated learning by creating immersive, extended experiences with problems and contexts similar to the real world.9 In particular, MUVEs and real-world settings augmented with virtual information provide the capability to create problem-solving communities in which participants can gain knowledge and skills through interacting with other participants who have varied levels of skills, enabling legitimate peripheral participation driven by intrinsic sociocultural forces.
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Situated learning is important in part because of the crucial issue of transfer. Transfer is defined as the application of knowledge learned in one situation to another situation and is demonstrated if instruction on a learning task leads to improved performance on a transfer task, typically a skilled performance in a real-world setting
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Moreover, the evolution of an individual's or group's identity is an important type of learning for which simulated experiences situated in virtual environments or augmented realities are well suited. Reflecting on and refining an individual identity is often a significant issue for higher education students of all ages, and learning to evolve group and organizational identity is a crucial skill in enabling innovation and in adapting to shifting contexts.
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Immersion is important in this process of identity exploration because virtual identity is unfettered by physical attributes such as gender, race, and disabilities.
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Thanks to out-of-game trading of in-game items, Norrath, the virtual setting of the MMOG EverQuest, is the seventy-seventh largest economy in the real world, with a GNP per capita between that of Russia and Bulgaria. One platinum piece, the unit of currency in Norrath, trades on real world exchange markets higher than both the Yen and the Lira (Castronova, 2001).14
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Multiple teams of students can access the MUVE simultaneously, each individual manipulating an avatar which is "sent back in time" to this virtual environment. Students must collaborate to share the data each team collects. Beyond textual conversation, students can project to each other "snapshots" of their current individual point of view (when someone has discovered an item of general interest) and also can "teleport" to join anyone on their team for joint investigation. Each time a team reenters the world, several months of time have passed in River City, so learners can track the dynamic evolution of local problems.
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In our research on this educational MUVE based on situated learning, we are studying usability, student motivation, student learning, and classroom implementation issues. The results thus far are promising: All learners are highly motivated, including students typically unengaged in classroom settings. All students build fluency in distributed modes of communication and expression and value using multiple media because each empowers different types of communication, activities, experiences, and expressions. Even typically low-performing students can master complex inquiry skills and sophisticated content. Shifts in the pedagogy within the MUVE alter the pattern of student performance.
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Research shows that many participants value this functionality and choose to access the Web page after leaving the museum.
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Participants in these distributed simulations use location-aware handheld computers (with GPS technology), allowing users to physically move throughout a real-world location while collecting place-dependent simulated field data, interviewing virtual characters, and collaboratively investigating simulated scenarios.
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he defining quality of a learning community is that there is a culture of learning, in which everyone is involved in a collective effort of understanding. There are four characteristics that such a culture must have: (1) diversity of expertise among its members, who are valued for their contributions and given support to develop, (2) a shared objective of continually advancing the collective knowledge and skills, (3) an emphasis on learning how to learn, and (4) mechanisms for sharing what is learned. If a learning community is presented with a problem, then the learning community can bring its collective knowledge to bear on the problem. It is not necessary that each member assimilate everything that the community knows, but each should know who within the community has relevant expertise to address any problem. This is a radical departure from the traditional view of schooling, with its emphasis on individual knowledge and performance, and the expectation that students will acquire the same body of knowledge at the same time.26
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This immersion in virtual environments and augmented realities shapes participants' learning styles beyond what using sophisticated computers and telecommunications has fostered thus far, with multiple implications for higher education.
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Students were most effective in learning and problem-solving when they collectively sought, sieved, and synthesized experiences rather than individually locating and absorbing information from some single best source.
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Rheingold's forecasts draw on lifestyles seen at present among young people who are high-end users of new media
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Notion of place is layered/blended/multiple; mobility and nomadicity prevalent among dispersed, fragmented, fluctuating habitats (for example, coffeehouses near campus)
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Rather than having core identities defined through a primarily local set of roles and relationships, people would express varied aspects of their multifaceted identities through alternate extended experiences in distributed virtual environments and augmented realities.
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one-third of U.S. households now have broadband access to the Internet. In the past three years, 14 million U.S. families have linked their computers with wireless home networks. Some 55 percent of Americans now carry cell phones
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Mitchell's forecasts25 are similar to Rheingold's in many respects. He too envisions largely tribal lifestyles distributed across dispersed, fragmented, fluctuating habitats: electronic nomads wandering among virtual campfires. People's senses and physical agency are extended outward and into the intangible, at considerable cost to individual privacy. Individual identity is continuously reformed via an ever-shifting series of networking with others and with tools. People express themselves through nonlinear, associational webs of representations rather than linear "stories" and co-design services rather than selecting a precustomized variant from a menu of possibilities.
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More and more, though, people of all ages will have lifestyles involving frequent immersion in both virtual and augmented reality. How might distributed, immersive media be designed specifically for education, and what neomillennial learning styles might they induce?
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Peer-developed and peer-rated forms of assessment complement faculty grading, which is often based on individual accomplishment in a team performance context Assessments provide formative feedback on instructional effectiveness
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Mediated immersion creates distributed learning communities, which have different strengths and limits than location-bound learning communities confined to classroom settings and centered on the teacher and archival materials.27
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Multipurpose habitats—creating layered/blended/personalizable places rather than specialized locations (such as computer labs)
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Emphasis is placed on implications for strategic investments in physical plant, technology infrastructure, and professional development.
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o the extent that some of these ideas about neomillennial learning styles are accurate, campuses that make strategic investments in physical plant, technical infrastructure, and professional development along the dimensions suggested will gain a considerable competitive advantage in both recruiting top students and teaching them effectively.
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These ideas are admittedly speculative rather than based on detailed evidence and are presented to stimulate reaction and dialogue about these trends.
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f we accept much of the analysis above
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students of all ages with increasingly neomillennial learning styles will be drawn to colleges and universities that have these capabilities. Four implications for investments in professional development also are apparent. Faculty will increasingly need capabilities in:
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Some of these shifts are controversial for many faculty; all involve "unlearning" almost unconscious beliefs, assumptions, and values about the nature of teaching, learning, and the academy. Professional development that requires unlearning necessitates high levels of emotional/social support in addition to mastering the intellectual/technical dimensions involved. The ideal form for this type of professional development is distributed learning communities so that the learning process is consistent with the knowledge and culture to be acquired. In other words, faculty must themselves experience mediated immersion and develop neomillennial learning styles to continue teaching effectively as the nature of students alters.
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Differences among individuals are greater than dissimilarities between groups, so students in any age cohort will present a mixture of neomillennial, millennial, and traditional learning styles
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The technologies discussed are emerging rather than mature, so their final form and influences on users are not fully understood. A substantial number of faculty and administrators will likely dismiss and resist some of the ideas and recommendations presented here.
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Using Twitter for Language Study « IdeaLogues - 0 views
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So how do you find non-English-writing Twits? Serendipity: Search Twitter for a term you’re interested in, see who’s talking about it. For example, I searched for “Dokdo,” hoping to learn more about the controversy between Japan and South Korea over the islands known as Dokdo in Korean and Takeshima in Japanese, and found Mojin, a Japanese Twit I now follow. Twitter Search’s Advanced Search Page: Select the language you want, put in words you’re interested in, and see what you get. Note that for Japanese I’ve found it to be a little difficult to use actual Japanese words for some reason… Use FriendFeed’s Rooms to find interesting Twits in your target language. Here’s a Japanese Room I belong to; here’s a Japanese News Room, although more of the links are in English. Search the followers and followings of a Twit you like. For example, I like the NHK (Japan’s version of PBS or BBC) Twitter feed, and have found some interesting Twits to follow from the list of who NHK follows.
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The FWK Licensing Model at iterating toward openness - 0 views
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If we want to improve learning ~today~, we have to meet learners where they are ~today~. And today and for the foreseeable future the overwhelming majority of learners will be going to schools and universities where their teachers will adopt textbooks based on things like the name recognition of the author(s), the quality of the textbook, supporting instructional materials like test item banks and PPT notes, and the availability (and marketing!) of review copies.
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having said that, there are some additional, very practical benefits of an open textbook for the faculty member who has to make the adoption decision. For example, when the license and the technology allow the faculty member to remove chapters from the book, change the order of chapters in the book, or even edit chapters in the book directly (e.g., adding locally relevant examples) BEFORE her/his students ever see the books online or in print, this gives the faculty member much greater control over the instructional experience. Most faculty members couldn’t care less about “open” for openness sake, but give them greater control over the instructional experience, and suddenly openness is translated into a concrete benefit - a difference beyond “openness for openness sake.”
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The Plus in our CC By-NC-SA Plus will indeed be More Permissions - it will grant blanket permissions for anyone and everyone to make Commercial Use of FWK-published textbook materials in the context of the FWK Marketplace. The Marketplace will be an area of the FWK site where people can post and sell their own study guides, audio chapters, flash cards, videos, case studies, and other study materials related to FWK textbooks at whatever price they set (of course, they can alternately choose to openly license the things they put in the Marketplace, too). The Marketplace will be an “eBay for study materials,” and like eBay when somone sells material through the Marketplace, a small portion of the sale will come back to FWK and be shared with the textbook author whose work has been derived from or augmented by the new material.
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Flat World Knowledge will be licensing it’s first books CC By-NC-SA Plus, with copyright held by the authors.
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» Oral Interview Essay FSEM 100C6- Toys as History - 0 views
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Open for Learning: The CMS and the Open Learning Network | in education - 0 views
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Through a series of comparative studies--in which students of different age groups studied different subject matters under different instructional conditions--Bloom established that the average student instructed individually by a tutor outperformed 98% of students instructed in a conventional classroom setting.
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Bloom, B. S. (1984). The 2-Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One tutoring. Educational Researcher, 13(6), 4–16.
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To be clear, our assertions about the weaknesses of the CMS paradigm should also be taken as critiques of the predominant pedagogical model in higher education
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The OLN model is aimed at leveraging these affordances in ways that the CMS does not. For example, discussions that last longer than 50 minutes can be conducted online without prompting or intervention by the instructor. And such discussions can include more voices than those of the students formally enrolled in the class. Whatever connections students make with each other can be maintained via social networking applications of their choosing. And students can capture, annotate, and archive the content they assemble and create in their courses as well as in their less formal learning experiences. And since they are using their tools, they maintain control of and access to the content as long as they choose.
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Given the ever increasing rate of change and improvement in learning technologies and approaches, committed teachers should be anxious to find and employ new, more effective tools to help their students learn more effectively.
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The OLN also has the significant advantage of being time-persistent. Compared with the frequent starts and stops in the CMS (see Figure 2), much of what happens in the OLN allows learners to build their learning networks over time, since it is not bound to semesters, terms, or even the institution. And the artificial boundaries of the CMS are removed thereby allowing the learner to benefit from participation in a broader community of networked learners, further removing the limitations on learner network growth (see Figure 4).
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One of the primary aims of the OLN model is to reestablish teachers and learners at the center of learning activity (both inside and outside of courses).
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By combining several functions into one application, the CMS has forced us to make a tradeoff that is suboptimal for learning. Because there is some confidential and proprietary data in the CMS, we have traditionally locked all course data behind a login screen, viewable only by an instructor and the officially enrolled members of his or her class - and then only for the duration of the semester or term. This is perhaps the most debilitating example of CMS technology being used to reinvent the past. The traditional classroom has always been a private, physically, and temporally bounded space. The natural inclination was to replicate that model within the CMS. However, doing so has imposed the limits of the old space in a new space where such limitations do not exist.
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there are several key components of the OLN that should be private and secure, situated within an institution's intranet. These include student information systems (SISs), identity and role repositories, proprietary content stores, and secure online assessment applications. These are and should remain core components of the institutional IT infrastructure. Beyond these, however, there are several OLN components that need not be private. Faculty and student blogs, wikis, portfolios, and open courseware and open educational resource repositories can be open (at the option and discretion of individual faculty members and students). These functions can exist, spread across multiple applications and websites, in the cloud. Some applications might even be mashups of intranet and cloud-based applications.
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Light's examination of the impact of group study among students at Harvard is particularly compelling. In Making the Most of College, Light presents evidence that "students who study outside of class in small groups of four to six students, even just once a week, benefit enormously. Group meetings are organized around discussions of the homework, and as a result of their study group discussion, students are far more engaged and better prepared for class, learning significantly more" (2001, 52).
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Learning is not a simple acquisition activity. A large body of critical analysis and research concur that learning is at least as much a function of social discourse as it is solitary cognition (e.g., Vygotsky, 1962, 1978, or Schon, Brown, et al., 1989).
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The same is true for the best educational content—it draws people into arguments, explorations, discussions, and relationships that add depth, meaning, and value to that content.
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Brown & Adler have argued that, "The 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" (2008, 18). This is in contrast to the prevailing "traditional Cartesian view" of instruction that focuses primarily on the transfer of knowledge—as if it were a substance—from teacher to learner (18). Educational theorists have long argued against the didactic approach. Freire critiqued what he called "banking education," a model in which student activity is limited to "receiving, filing, and storing the deposits" of information apportioned them by the instructor (1970, 72).
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We may fruitfully update Freire's metaphor of "banking education" to a metaphor of "downloading learning." So much of what passes for innovative uses of instructional technology today, like the OpenCourseWare collections available from MIT and other universities, restricts learners to downloading files.
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If "hyperlinks subvert hierarchy" (Levine, et al., 1999), Web 2.0 tools are making the learning space fundamentally and permanently flat. CIOs, academic leaders, and individual faculty members might argue that they need the structure and security of the CMS. We agree that some elements of the CMS should be maintained. But students, and a growing number of instructors, are engaging in rich, meaningful dialog, content creation, and sharing outside the CMS.
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When students enter the walled garden of the CMS, they are largely "acted upon." Efficacious, self-regulating learners, on the other hand, "act" as they participate in and take ownership of their own learning activities and ultimately what they learn and how they employ that new learning in pursuit of their various life projects.
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The center of gravity in the CMS is decidedly on institutional and instructor efficiency and convenience, not student participation and learning. This should not be surprising given Cuban's findings that educational technology is used largely to "maintain existing practices" rather than to "revolutionize," or even change in any substantial way, teaching and learning practices (2001).
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But the CMS paradigm actually works against such a transformation of the relationship between teachers and learners because it privileges the role of the instructor and technically restricts individual students from contributing and to shaping courses in any meaningful way. Sclater has argued that the term "learning management system" itself suggests "disempowerment—an attempt to manage and control the activities of the student by the university" (2008, p. 2). The tendencies of the CMS are not, he argues, just "minor irritations" but rather forces that "may overtly or subtly align the institutional processes with the software rather than having the system serve the requirements of the institution" (p. 3).
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Most (if not all) of these sorts of activities are absent from the typical CMS-based course. This is true primarily because there is no space provided for students to publish such content and engage in such activities of their own creation. Moreover, students engaged in such activities are unlikely to make the CMS the base of their activities because they would be walled off from the rest of the world, destined for deletion at the end of the semester.
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12-year-old home schooled girl, Heather Lawver, who created an online, fan-authored version of The Daily Prophet, the fictional newspaper in the Harry Potter series (see http://dprophet.com).
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Jenkins argues that Lawver's activities, and those of the reporters she recruited, went far beyond a creative outlet for fans—participants acquired knowledge creation, knowledge pooling, and knowledge sharing skills, gained experiences sharing and comparing value systems, learned how to express and interpret feelings about a literary work, and developed Internet publishing skills (p. 185). Gee has argued that similarly transferable skills can be acquired in online role-playing games, where players learn to work well with team members, collaborate to solve problems, and hone individual skills in the context while understanding and appreciating others' skills, etc. (2009).
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the overwhelming usage patterns of instructors indicate that the CMS has been used primarily to mimic the traditional, semester-based, lecture-driven, content-centric model of instruction - one of bestowing "course info" on students.
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the CMS was designed primarily to support and enhance traditional teaching. It is not coincidental that the first incarnation of Blackboard was branded "CourseInfo."
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While perhaps a bit stylized, the typical CMS-delivered, content-centric, lecture-driven course complete with multiple-choice midterm and final exams, does little to prepare students to succeed in a world in which there will always be more new knowledge created every day than they can possibly access, much less assimilate, master, and apply. Given the overwhelming flow of data all around us, our job should be increasingly less focussed on making our students "knowledgeable" and focused instead more on making them "knowledge-able" (Wesch, 2009).
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When a student at Ryerson University convened a chemistry study group inside Facebook in 2007, the University threatened to expel him for academic misconduct. In his defense, the student observed that he was simply replicating online what was common practice in face-to-face study group and tutorial sessions (Schaffhauser, 2008). The difference between these face-to-face sessions and the groups the student created in Facebook, however, was that the online versions of the study groups would persist over time, perhaps far beyond the students' time at Ryerson. Access to Facebook, unlike access to live study sessions or to the CMS, does not expire when a student graduates.
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mposing artificial time limits on learner access to course content and other learners, privileging the role of the instructor at the expense of the learner, and limiting the power of the network effect in the learning process.
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Bush & Mott (2009) have argued that the failure of technology to transform learning stems from a preoccupation with "the tactical implementation of specific technologies which often simply automate the past" (p. 17).
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such software has generally been focused primarily on helping teachers increase the efficiency of the administrative tasks of instruction (e.g., distribute documents, make assignments, give quizzes, initiate discussion boards, assign students to working groups, etc.).
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CMS are "fundamentally a conservative technology ... [for] managing groups, providing tools, and delivering content" (2006, 1).
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Cuban concluded that "teachers used technology to maintain existing practices" rather than to "revolutionize" the way they teach their students (p. 138).
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he industrial, course management model has its center of gravity in teachers generating content, teachers gathering resources, teachers grouping and sequencing information, and teachers giving the information to students (356). This is so, they argue, because teachers "often yield to the seductive appeal of a course management system, where it is easy enough to populate a weekly schedule with static resources and decontextualized tasks" which results in a "focus on content ... rather than the process of educating the student" (357).
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the CMS continues to artificially situate instruction and learning inside walled gardens that are disconnected from the rich and vibrant networks of learners and content in the wider world.
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the changes necessary to bridge the 2 sigma gap are at least as much cultural and pedagogical as they are technological.
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an unintended consequence of CMS deployment by artificially limiting the potential of the Web to keep students connected to each other and their content. While the CMS facilitates substantial interaction and community building around content within courses, the resulting learning communities are almost always limited to those formally enrolled in the course and those communities exist only for the duration of a particular semester or term. When each period of instruction draws to a close, CMS courses are routinely deactivated and sometimes even deleted to make way for the next semester's courses.
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no record left behind of the activity and learning that occurred within them. This is a pattern that repeats from semester to semester, throughout a student's learning career at a particular institution.
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These learning network disruptions are even more jarring for students who transfer from one institution to another or those who take courses from multiple institutions. Unless students fastidiously copy the content from their CMS courses and save the contact information of their classmates, the learning network connections they have made (both content and social) are essentially lost.
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flocking to time-persistent social networking and media sharing sites like Facebook, Flickr, YouTube, GMail, and Google Docs.
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blogs, and wikis
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While we know of no formal research on the topic, we believe that knowing that the fruits of their efforts will be categorically deleted at the end of term is a significant negative motivation for students to contribute meaningfully within the CMS, particularly when the same effort invested elsewhere would persist indefinitely.
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By eliminating access to the courses a student participates in within a CMS, an institution not only hampers them during their formal learning careers, but it takes away a potentially invaluable knowledge-able tool for continued success as a lifelong learner.
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The old paradigm of making our students "knowingly prepared" is rapidly losing its value. We should instead help our students be "unknowingly prepared—to be unknowing but to possess the tools and skills to rapidly become 'knowing' at the moment-of-need" (p. 3).
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No longer do students sit passively in the classroom, restricted only to the authority of the instructor and their textbook for the final word on the subject matter of a lecture. Now they can Google terms, concepts, and events mentioned by the instructor, they txt, Facebook, and Twitter each other about what's being said, and they carry their notes and even the lecture itself out of class with them, recorded on laptops, MP3 recorders, and digital pens to be reviewed and shared.
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Between 2000 and 2008, the average licensing cost per campus for commercial CMS skyrocketed 500% (Delta Initiative, 2009; slide 11).
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includes such factors as hosting, faculty development, curriculum and instructional course design, multimedia support, and help desk support while making literally no mention of student learning or student activity within the CMS (slide 21).
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Where once the instructor was the sole (or at lease substantially privileged) possessor of content expertise and certainly the exclusive provider of course materials, learners are now instantaneously able to Google virtually any information about the content of a course (often during the lectures themselves), independently publish their thoughts about it, and interact with others (both inside and outside of the official course roster) about the course and it's subject matter.
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instructors have largely employed the CMS to automate the past,
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In a learning context, he argues that no educational information and communication technology can be "universally good." Rather, he asserts, "the best way to invest in instructional technologies is an instrumental approach that analyzes the natures of the curriculum, students, and teachers to select the appropriate tools, applications, media and environments" (59).
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which learners select as they engage in their educational experiences (p. 59).
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When combined with tools and environments that afford opportunities for social interaction, educational resources become semiotic tools that influence learners' actions and mediate the learning process.
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it seems paradoxical that we would we put hundreds, thousands, or millions of learners in front of advanced communications technology so that they can simply retrieve data instead of interacting with each other around that data.
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We contend that its inadequacy stems from three specific weaknesses of the CMS—(1) the organization of learning experiences into discrete, artificially time-bound units, (2) the predominance of instructor-focused and content-centric tools in the CMS, and (3) the lack of persistent connections between learners, instructors, content, and the broader community across semesters and across class, program, and institutional boundaries.
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these disruptions are likely to come from educational technologists and leaders exploring new tools and new approaches to learning.
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while opening the space necessary for learners to act as co-instructors and for teachers to act as co-learners in a dynamically generated space (9).
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Most institutions of higher education appear focused on . . . content coverage, course structure, and pre-existing time arrangments such as semesters and hours of credit than . . . issues such as learning and performance (
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This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License.
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Curricula Designed to Meet 21st-Century Expectations | Resources | EDUCAUSE - 0 views
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W here students had once called a large number of their classes "death by lecture," she noted they were now calling them "death by PowerPoint." >
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here students had once called a large number of their classes "death by lecture," she noted they were now calling them "death by PowerPoint."
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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. Like all organizations, colleges and universities respond to the demands placed upon them. Students' and institutions' low expectations for the use of technology for learning provide insufficient impetus for faculties to change their behavior and make broader, more innovative use of these tools in the service of learning.
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Data obtained from these sessions with high school and college seniors in Indiana, Oregon, and Virginia
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From the beginning, however, a problem arose in that those middle school students went on to high schools and later to colleges that did not (and do not) provide this type of rich learning experience—a learning experience that can best be achieved when technology is used in the service of learning.
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Less attention has been given to how to help students achieve the desired learning outcomes through technology.
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comparatively little support has been devoted to helping faculty use computers and other technologies in creative and innovative ways to deepen student learning.
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institutional structures and practices to resolve technical problems that faculty invariably encounter are very limited or are not the type of aid needed. Such lack of support limits the amount of time faculty can spend on what they do best—building a compelling curriculum and integrating technology for more powerful learning.
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To develop intentional learners, the curriculum must go beyond helping students gain knowledge for knowledge's sake to engaging students in the construction of knowledge for the sake of addressing the challenges faced by a complex, global society.
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Faculty concerns perhaps center less on being "replaceable" and more on worrying that the teaching and learning enterprise will be reduced to students gathering information that can be easily downloaded, causing them to rely too heavily on technology instead of intellect.
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First, traditional age students overwhelmingly prefer face-to-face contact with faculty to mediated communication. Second, technology used in the service of learning will require more—not less—sophistication on the part of students as they engage in processes of integration, translation, audience analysis, and critical judgment.
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Faculty with expertise in one or more subjects, who have been exposed to what we know about how people learn, can determine how to enhance this learning through the use of technology. But simply understanding how to use technology will not provide the integration needed to reach the desired learning outcomes.
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There is a need for integrating technology that is in the service of learning throughout the curriculum. More intentional use of technology to capture what students know and are able to integrate in their learning is needed.
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Convenience, Communications, and Control: How Students Use Technology | Resources | EDU... - 0 views
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Doing is more important than knowing, and learning is accomplished through trial and error as opposed to a logical and rule-based approach.2 Similarly, Paul Hagner found that these students not only possess the skills necessary to use these new communication forms, but there is an ever increasing expectation on their part that these new communication paths be used
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This phrase makes me a little uneasy. I recognize that these students are different, but I understand this a difference in learning style, not content. "Doing is more important than knowing" implies, at least to me, that a full understanding of the content. There has to be a little of both.
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It's an interesting question. What is 'knowing'? And how do we know what we know?
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I guess doing is more important than knowing in the sense of actual research. We should have a theoritical background and KNOW what is behind but it is also important to try things out and make mistakes and have a feed back. I would say, it is more of an individual thing and it is up to the type of learners and how they learn things. They might be learners who learn by touching things and try it out or just by having a look at it and they will be fine
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Much of the work to date, while interesting and compelling, is intuitive and largely based on qualitative data and observation.
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There is an inexorable trend among college students to universal ownership, mobility, and access to technology.
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Students were asked about the applications they used on their electronic devices. They reported that they use technology first for educational purposes, followed by communication.
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presentation software was driven primarily by the requirements of the students' major and the curriculum.
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From student interviews, a picture emerged of student technology use driven by the demands of the major and the classes that students take. Seniors reported spending more time overall on a computer than do freshmen, and they reported greater use of a computer at a place of employment. Seniors spent more hours on the computer each week in support of their educational activities and also more time on more advanced applications—spreadsheets, presentations, and graphics.
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Confirming what parents suspect, students with the lowest grade point averages (GPAs) spend significantly more time playing computer games; students with the highest GPAs spend more hours weekly using the computer in support of classroom activities. At the University of Minnesota, Crookston, students spent the most hours on the computer in support of classroom activities. This likely reflects the deliberate design of the curriculum to use a laptop extensively. In summary, the curriculum's technology requirements are major motivators for students to learn to use specialized software.
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The interviews indicated that students are skilled with basic office suite applications but tend to know just enough technology functionality to accomplish their work; they have less in-depth application knowledge or problem solving skills.
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According to McEuen, student technology skills can be likened to writing skills: Students come to college knowing how to write, but they are not developed writers. The analogy holds true for information technology, and McEuen suggested that colleges and universities approach information technology in the same way they approach writing.6
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The comparative literature on student IT skill self-assessment suggests that students overrate their skills; freshmen overrate their skills more than seniors, and men overrate their skills more than women.7 Our data supports these conclusions. Judy Doherty, director of the Student Technologies Resource Group at Colgate University, remarked on student skill assessment, "Students state in their job applications that they are good if not very good, but when tested their skills are average to poor, and they need a lot of training."8
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Mary Jane Smetanka of the Minneapolis–St. Paul Star Tribune reported that some students are so conditioned by punch-a-button problem solving on computers that they approach problems with a scattershot impulsiveness instead of methodically working them through. In turn, this leads to problem-solving difficulties.
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We expected to find that the Net Generation student prefers classes that use technology. What we found instead is a bell curve with a preference for a moderate use of technology in the classroom (see Figure 1).
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It is not surprising that if technology is used well by the instructor, students will come to appreciate its benefits.
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A student's major was also an important predictor of preferences for technology in the classroom (see Table 3), with engineering students having the highest preference for technology in the classroom (67.8 percent), followed by business students (64.3 percent).
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we found that many of the students most skilled in the use of technology had mixed feelings about technology in the classroom.
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he highest scores were given to improved communications, followed by factors related to the management of classroom activities. Lower impact activities had to do with comprehension of classroom materials (complex concepts).
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The instructors' use of technology in my classes has increased my interest in the subject matter. 3.25 Classes that use information technology are more likely to focus on real-world tasks and examples.
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Interestingly, students do not feel that use of information technology in classes greatly increases the amount of time engaged with course activities (3.22 mean).12 This is in direct contrast to faculty perceptions reported in an earlier study, where 65 percent of faculty reported they perceived that students spend more time engaged with course materials
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Only 12.7 percent said the most valuable benefit was improved learning; 3.7 percent perceived no benefit whatsoever. Note that students could only select one response, so more than 12.7 percent may have felt learning was improved, but it was not ranked highest. These findings compare favorably with a study done by Douglas Havelka at the University of Miami in Oxford, Ohio, who identified the top six benefits of the current implementation of IT as improving work efficiency, affecting the way people behave, improving communications, making life more convenient, saving time, and improving learning ability.14
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Our data suggest that we are at best at the cusp of technologies being employed to improve learning.
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The interactive features least used by faculty were the features that students indicated contributed the most to their learning.
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he students in this study called our attention to performance by noting an uneven diffusion of innovation using this technology. This may be due, in part, to faculty or student skill. It may also be due to a lack of institutional recognition of innovation, especially as the successful use of course management systems affects or does not affect faculty tenure, promotion, and merit decisions
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What we found was that many necessary skills had to be learned at the college or university and that the motivation for doing so was very much tied to the requirements of the curriculum. Similarly, the students in our survey had not gained the necessary skills to use technology in support of academic work outside the classroom. We found a significant need for further training in the use of information technology in support of learning and problem-solving skills.
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Course management systems were used most by both faculty and students for communication of information and administrative activities and much less in support of learning.
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In 1997, Michael Hooker proclaimed, "higher education is on the brink of a revolution." Hooker went on to note that two of the greatest challenges our institutions face are those of "harnessing the power of digital technology and responding to the information revolution."18 Hooker and many others, however, did not anticipate the likelihood that higher education's learning revolution would be a journey of a thousand miles rather than a discrete event. Indeed, a study of learning's last great revolution—the invention of moveable type—reveals, too, a revolution conducted over centuries leading to the emergence of a publishing industry, intellectual property rights law, the augmentation of customized lectures with textbooks, and so forth.
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Qualitative data were collected by means of focus groups and individual interviews. We interviewed undergraduate students, administrators, and individuals identified as experts in the field of student technology use in the classroom. Student focus groups and interviews of administrators were conducted at six of the thirteen schools participating in the study.
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The institutions chosen represent a nonrepresentative mix of the different types of higher education institution in the United States, in terms of Carnegie class as well as location, source of funding, and levels of technology emphasis. Note, however, that we consider our findings to be instructive rather than conclusive of student experiences at different types of Carnegie institutions.
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Both the ECAR study on faculty use of course management systems and this study of student experiences with information technology concluded that, while information technology is indeed making important inroads into classroom and learning activities, to date the effects are largely in the convenience of postsecondary teaching and learning and do not yet constitute a "learning revolution." This should not surprise us. The invention of moveable type enhanced, nearly immediately, access to published information and reduced the time needed to produce new publications. This invention did not itself change literacy levels, teaching styles, learning styles, or other key markers of a learning revolution. These changes, while catalyzed by the new technology, depended on slower social changes to institutions. I believe that is what we are witnessing in higher education today.
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The qualitative data suggest a slightly different picture. Students have very basic office suite skills as well as e-mail and basic Web surfing skills. Moving beyond basic activities is problematic. It appears that they do not recognize the enhanced functionality of the applications they own and use.
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"Information technology is just a tool. Like all tools, if used properly it can be an asset. If it is used improperly, it can become an obstacle to achieving its intended purpose. Never is it a panacea."
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Print: The Chronicle: 6/15/2007: The New Metrics of Scholarly Authority - 0 views
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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.
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a time when scholarship, and how we make it available, will be affected by information abundance just as powerfully as food preparation has been.
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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.
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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,'"
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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.
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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.
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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.
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ecently some more "authoritative" editors have been given authority to override whining ax grinders.
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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
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As the online environment matures, most social spaces in many disciplines will have their own "boingboings."
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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.
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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
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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.
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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.
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the new authority metrics, instead of relying on scholarly publishers to establish the importance of material for them.
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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.
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Many of the values of scholarship are not well served yet by the Web: contemplation, abstract synthesis, construction of argument.
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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.
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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.
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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.
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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.
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When the system of scholarly communications was dependent on the physical movement of information goods, we did business in an era of information scarcity. As we become dependent on the digital movement of information goods, we find ourselves entering an era of information abundance. In the process, we are witnessing a radical shift in how we establish authority, significance, and even scholarly validity. That has major implications for, in particular, the humanities and social sciences.