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There is an inexorable trend among college students to universal ownership, mobility, and access to technology.

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.

presentation software was driven primarily by the requirements of the students' major and the curriculum.

Communications and entertainment are very much related to gender and age.

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.

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.

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.

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

he major requires the development of higher-level skill sets with particular applications.

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

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.

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).

It is not surprising that if technology is used well by the instructor, students will come to appreciate its benefits.

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).

Humanities 7.7% 47.9% 40.2

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).

I spend more time engaged in course activities in those courses that require me to use technology.

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.

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

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

Our data suggest that we are at best at the cusp of technologies being employed to improve learning.

The interactive features least used by faculty were the features that students indicated contributed the most to their learning.

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

we found that many of the students most skilled in the use of technology had mixed feelings about technology in the classroom.

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.

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.

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.

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.

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.

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Discoverable Resources

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

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

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

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

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

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

Jack Schofield

Guardian Unlimited

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

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

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

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

"My Maps" functionality

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

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

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

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

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

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

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

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.

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.

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.

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.

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.

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.

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.

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.

Notion of place is layered/blended/multiple; mobility and nomadicity prevalent among dispersed, fragmented, fluctuating habitats (for example, coffeehouses near campus)

Guided social constructivism and situated learning as major forms of pedagogy

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

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

Multipurpose habitats—creating layered/blended/personalizable places rather than specialized locations (such as computer labs)

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.

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.

Immersion is the subjective impression that one is participating in a comprehensive, realistic experience.

Inducing a participant's symbolic immersion involves triggering powerful semantic associations via the content of an experience.

The capability of computer interfaces to foster psychological immersion enables technology-intensive educational experiences that draw on a powerful pedagogy: situated learning.

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).

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.

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.

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.

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

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.

Immersion is important in this process of identity exploration because virtual identity is unfettered by physical attributes such as gender, race, and disabilities.

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

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.

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.

Research shows that many participants value this functionality and choose to access the Web page after leaving the museum.

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.

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.

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.

Rheingold's forecasts draw on lifestyles seen at present among young people who are high-end users of new media

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.

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

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.

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?

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

Neomillenial Versus Millennial Learning Styles

Emphasis is placed on implications for strategic investments in physical plant, technology infrastructure, and professional development.

such as textbooks linked to course ratings by students)

Mirroring": Immersive virtual environments provide replicas of distant physical settings

Middleware, interoperability, open content, and open source

Finding information Sequential assimilation of linear information stream

Student products generally tests or papers Grading centers on individual performance

These ideas are admittedly speculative rather than based on detailed evidence and are presented to stimulate reaction and dialogue about these trends.

f we accept much of the analysis above

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:

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.

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

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.