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it has made the work of educational administrators exponentially more difficult. Students now talk, up and down the years, via the recorded ratings on the site. It isn’t possible for an institution of higher education to disguise an individual who happens to be a world-class researcher but a rather ordinary lecturer. In earlier times, schools could foist these instructors on students, who’d be stuck for a semester. This no longer happens, because RateMyProfessors.com effectively warns students away from the poor-quality teachers.

This one site has undone all of the neat work of tenure boards and department chairs throughout the entire world of academia.

The battle for control over who stands in front of the classroom has now been decisively lost by the administration in favor of the students.

That knowledge, once pooled, takes on a life of its own, and finds itself in places where it has uses that its makers never intended.

If we are smart enough, we can learn a lesson here and now that we will eventually learn – rather more expensively – if we wait. The lesson is simple: control is over. This is not about control anymore. This is about finding a way to survive and thrive in chaos.

the shape of things to come. But there are some other trends which are also becoming visible. The first and most significant of these is the trend toward sharing lecture material online, so that it reaches a very large audience.

the possibility that some individuals or group of individuals might create their own context around the lectures. And this is where the future seems to be pointing.

When broken down to its atomic components, the classroom is an agreement between an instructor and a set of students. The instructor agrees to offer expertise and mentorship, while the students offer their attention and dedication. The question now becomes what role, if any, the educational institution plays in coordinating any of these components. Students can share their ratings online – why wouldn’t they also share their educational goals? Once they’ve pooled their goals, what keeps them from recruiting their own instructor, booking their own classroom, indeed, just doing it all themselves?

Why not create a new kind of “Open University”, a website that offers nothing but the kinds of scheduling and coordination tools students might need to organize their own courses?

In this near future world, students are the administrators.

Now since most education is funded by the government, there will obviously be other forces at play; it may be that “administration”, such as it is, represents the government oversight function which ensures standards are being met. In any case, this does not look much like the educational institution of the 20th century – though it does look quite a bit like the university of the 13th century, where students would find and hire instructors to teach them subjects.

The lecturer now helps the students find the material available online, and helps them to make sense of it, contextualizing and informing their understanding. even as the students continue to work their way through the ever-growing set of information. The instructor can not know everything available online on any subject, but will be aware of the best (or at least, favorite) resources, and will pass along these resources as a key outcome of the educational process. The instructor facilitates and mentors, as they have always done, but they are no longer the gatekeepers, because there are no gatekeepers,

The classroom in this fungible future of student administrators and evolved lecturers is any place where learning happens.

At one end of the scale, students will be able work online with each other and with an lecturer to master material; at the other end, students will work closely with a mentor in a specialist classroom. This entire range of possibilities can be accommodated without much of the infrastructure we presently associate with educational institutions. The classroom will both implode – vanishing online – and explode – the world will become the classroom.

Flexibility and fluidity are the hallmark qualities of the 21st century educational institution. An analysis of the atomic features of the educational process shows that the course is a series of readings, assignments and lectures that happen in a given room on a given schedule over a specific duration. In our drive to flexibility how can we reduce the class into to essential, indivisible elements? How can we capture those elements? Once captured, how can we get these elements to the students? And how can the students share elements which they’ve found in their own studies?

This is the basic idea that’s guiding Stanford and MIT: recording is cheap, lecturers are expensive, and students are forgetful. Somewhere in the middle these three trends meet around recorded media. Yes, a student at Stanford who misses a lecture can download and watch it later, and that’s a good thing. But it also means that any student, anywhere, can download the same lecture.

Every one of these recordings has value, and the more recordings you have, the larger the horde you’re sitting upon. If you think of it like that – banking your work – the logic of capturing everything becomes immediately clear.

While education definitely has value – teachers are paid for the work – that does not mean that resources, once captured, should be tightly restricted to authorized users only. In fact, the opposite is the case: the resources you capture should be shared as broadly as can possibly be managed. More than just posting them onto a website (or YouTube or iTunes), you should trumpet their existence from the highest tower. These resources are your calling card, these resources are your recruiting tool.

the more something is shared, the more valuable it becomes. You extend your brand with every resource you share. You extend the knowledge of your institution throughout the Internet. Whatever you have – if it’s good enough – will bring people to your front door, first virtually, then physically.

Stanford and MIT

show a different way to value education – as experience. You can’t download experience. You can’t bottle it. Experience has to be lived, and that requires a teacher.

Rather than going for a commercial solution, I would advise you to look at the open-source solutions. Rather than buying a solution, use Moodle, the open-source, Australian answer to digital courseware. Going open means that as your needs change, the software can change to meet those needs. Given the extraordinary pressures education will be under over the next few years, openness is a necessary component of flexibility.

Openness is also about achieving a certain level of device-independence.

here are many screens today, and while the laptop screen may be the most familiar to educators, the mobile handset has a screen which is, in many ways, more vital. Many students will never be very computer literate, but every single one of them has a mobile handset, and every single one of them sends text messages. It’s the big of computer technology we nearly always overlook – because it is so commonplace. Consider every screen when you capture, and when you share; dealing with them all as equals will help you work find audiences you never suspected you’d have.

Yet net filtering throws the baby out with the bathwater. Services like Twitter get filtered out because they could potentially be disruptive, cutting students off from the amazing learning potential of social messaging. Facebook and MySpace are seen as time-wasters, rather than tools for organizing busy schedules. The list goes on: media sites are blocked because the schools don’t have enough bandwidth to support them; Wikipedia is blocked because teachers don’t want students cheating. All of this has got to stop. The classroom does not exist in isolation, nor can it continue to exist in opposition to the Internet. Filtering, while providing a stopgap, only leaves students painfully aware of how disconnected the classroom is from the real world. Filtering makes the classroom less flexible and less responsive. Filtering is lazy.

Mind the maxim of the 21st century: connection is king. Students must be free to connect with instructors, almost at whim. This becomes difficult for instructors to manage, but it is vital. Mentorship has exploded out of the classroom and, through connectivity, entered everyday life.

Finally, students must be free to (and encouraged to) connect with their peers. Part of the reason we worry about lecturers being overburdened by all this connectivity is because we have yet to realize that this is a multi-lateral, multi-way affair. It’s not as though all questions and issues immediately rise to the instructor’s attention. This should happen if and only if another student can’t be found to address the issue. Students can instruct one another, can mentor one another, can teach one another. All of this happens already in every classroom; it’s long past time to provide the tools to accelerate this natural and effective form of education.

Connection is expensive, not in dollars, but in time. But for all its drawbacks, connection enriches us enormously. It allows us to multiply our reach, and learn from the best.

learning by listening is proved to be much harder than learning by reading.

RateMyProfessors is a good start, and anecdotes about how people use it is interesting, but it has a long long way to go before it comes close to being reliable let alone authoritative.

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).

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

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).

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.

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

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

Humanities 7.7% 47.9% 40.2

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.

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.

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.

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 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.

It cannot be assumed that they come to college prepared to use advanced software applications.

25.6 percent of the students preferred limited or no use of technology in the classroom.

"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."

At Harvard, we're seeing fewer hires because of the economy, but when we do make hires, we're looking for cross-disciplinary scholars.

for my students I ask them to write skill-based resumes. Their job histories should be downplayed and woven into the skills they can bring to employers.

For other professors, I've seen a lot of my colleagues come and go from here. Those who have been successful (either at Harvard or at their next jobs) understand that their learning only begins when they get a Ph.D. Some of my friends from graduate school thought they had reached some "finish line" when they got their doctorates. That's crazy. That's the starting line. Scholars who have successful careers diversify their skills and interests. They keep up with journals while also trying to become more "public intellectuals." I think of it this way: even though we're not in a Ph.D. program any longer, we should imagine ourselves getting a new Ph.D. every six years. We're not just in the "teaching business," we're in the "learning business." As the world changes, we need to, too.

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.

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.

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.

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

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.

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.

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.

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.

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

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.

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

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

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?

Guided social constructivism and situated learning as major forms of pedagogy

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

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

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

Neomillenial Versus Millennial Learning Styles

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

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.

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.

Sadly, this potential often fails to be realized because of the widespread belief that these tools are somehow inherently educational. The iPod might have an instructional potential, but it is the educators who arrange and structure instructional events around it to make learning happen, not the instrument itself. To realize the instructional potential of technology requires a set of skills that can only be acquired through adequate instruction and practice. Just as speaking a foreign language is not a qualification to teach it, knowing how to use a technology does not mean that one knows intuitively how to use it as a teaching tool.

a recent MLA report on the status of foreign language instruction in higher education3 underscored that most incoming foreign language faculty would be teaching at the undergraduate level. The report calls for the integration of technology training in the graduate curriculum, asking departments to “take the necessary steps to teach graduate students to use technology in language instruction and learning.” The report, which called for drastic transformations of foreign language academic programs nationwide, also emphasized the importance of providing graduate students with a good pedagogical basis.

Few graduate programs include such training as a part of the curriculum. As a matter of fact, pedagogy itself often represents a negligible fraction of graduate program requirements.

Because the field of language technology is at the crossroads of technology, instructional design, and languages, it calls for the close collaboration of experts in each area. Today, language centers are the only campus units where such a wide range of expertise can easily be found.

The role of language technologists goes beyond teaching what a blog is and how to set up a browser to display Japanese characters. It includes sorting through novel technologies, evaluating their instructional potential, researching current educational uses, and sharing findings with educators. The most promising applications available today were not designed for instructional use and do not come with an instruction manual. To use them in the classroom requires the ability to redirect their intended purpose and, more importantly, to think through possible consequences of doing so.

Fair use is critical to understand, say the code's developers, because copying, quoting, and reusing existing cultural material can help generate new cultural treasures.

Here are the code's five principles:

Educators' reliance on fair use therefore will be helped by this code of best practices, which will serve as a documentation of common understandings drawn from the experience of educators themselves and supported by legal analysis.

For students, wikis are beneficial primarily as a collaborative tool for things like group assignments in courses.

the earliest emergence of detailed rules implementing the Higher Education Opportunity Act of 2008 is likely to be July 1, 2010.

College faculty and IT staff agreed that a lack of technology know-how among professors is the biggest barrier to technology integration on campus. Although 85 percent of faculty members said their institutions provide some kind of technology training, 44 percent nevertheless said their biggest challenge is knowing how to use technology in their teaching.

But community colleges also lag in certain areas, the index suggests--including using social-networking tools to enhance faculty-student interaction and giving students access to their computer networks off campus.

longtail

If you have multiple teachers teaching sections of a course and they need to teach from the same materials, they have a central hub to which they can collaboratively contribute material ... and then from which they can teach and keep all their sections.