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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?

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.

Consider this scenario:

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.

Data obtained from these sessions with high school and college seniors in Indiana, Oregon, and Virginia

Less attention has been given to how to help students achieve the desired learning outcomes through technology.

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.

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.

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.

integrating study abroad into courses back on the home campus;

comparatively little support has been devoted to helping faculty use computers and other technologies in creative and innovative ways to deepen student learning.

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.

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.

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.

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.

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

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

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

Google

Google

The challenge for all those sites pertains to abundance:

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

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

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

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

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

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

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

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

cholarly publishers

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

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

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

Web 1.0,

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

fundamental presumption is one of endless information abundance.

Flickr, YouTube

micromarkets

multiple demographics

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

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

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

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

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

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

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

We provide ample support and encouragement to "trailing edge" students whose online capabilities barely extend beyond e-mail, but at the same time, we leave the door open for those at the leading edge to suggest innovations that we ourselves would be incapable of imagining, much less of implementing.

By recasting students as researchers and teachers, we invite them to participate in what is arguably the most exciting and fulfilling aspect of university life: the production of new knowledge (Exhibit 2).

We would be hard pressed to name a profession—including academe itself—that does not demand some ability to interact effectively with other human beings. Yet higher education remains, especially in the humanities, a highly individualistic enterprise. In a typical English course, students write their essays for an audience of one—namely, the instructor who does the grading—while "group discussions" frequently consist of individuals talking directly to the teacher with little regard for their peers. In a discipline built around the ideal of the lone genius, our epigraph to this section remains as wishfully subversive today as it was a century and a half ago.

Teaching to the future involves harnessing the collaborative impulses already at large in digital culture and directing them toward educational ends, so that "group work" shifts in our students' perception from an eyeroll-inducing educational gimmick to a cutting-edge skill worthy of cultivation and scrutiny.

Later, they take part in a formative peer assessment exercise during which we project draft versions of their final projects onscreen while classmates ask questions and provide suggestions for improvement. The success of this "Live Crit" session (a concept borrowed from architecture and the fine arts) reflects the atmosphere of collaboration and trust that we have consciously cultivated among the students all semester

Exhibit 4).

Higher education is an aquifer, not a spigot.

"The Poem of the Contents of Everybody's Pockets"; on the second day, we send them off around campus to chalk poems on the ground in public places; on the third day, we engage them in a critical analysis of both events, prompting them to come up with inventive ways in which such multifaceted live performances might be recorded (photographed? taped? videoed? narrativized?) for posterity.

(Exhibit 7).

with the students' enthusiastic permission—as permanent exhibits in the Archives section of our course Web site

Exhibit 3

"In the coming decades," warns hypertext theorist Jerome McGann, "the entirety of our cultural inheritance will be transformed and re-edited in digital forms," a monumental task for which both we and our students remain, by and large, seriously underprepared (2005, 181).

to teach our students not to follow in our footsteps but to outstrip us.