Group items tagged

these spaces conveniently lend themselves to almost seamless integration of content from other online resources, often quite transparently

They are easy to create, and they allow people to jointly collaborate on complex projects using low-cost, simple tools.

The essential attribute of the technologies in this set is that they make it easy for people to share interests and ideas, work on joint projects, and easily monitor collective progress. All of these are needs common to student work, research, collaborative teaching, writing and authoring, development of grant proposals, and more. Using them, groups can collaborate on projects online, anywhere there is Internet access; interim results of research can be shared among a team, supporting illustrations and tables created, and all changes and iterations tracked, documented, and archived. In class situations, faculty can evaluate student work as it progresses, leaving detailed comments right in the documents if desired in almost real time. Students can work with other students in distant locations, or with faculty as they engage in fieldwork.

Support needs are greatly reduced as nothing needs to be installed or upgraded.

A virtual collaborative workspace for a course or study group can be assembled quickly using tools, or widgets, that can pull information from a variety of sources

The same tools can be used to set up a personal portfolio where a student can display his or her work in any form—photos, blog posts, shared videos, and more can be pulled to the page by widgets that grab the student’s contributions on other sites.

Using similar approaches, online conferences and symposia can offer session archives that persist over time; simply request that participants use a particular tag when they post related content, and the widgets will continue to update the conference page as new content appears.

Instead of the campus LMS, the courses use Facebook as their primary interaction and information tool.

A course in Digital Entrepreneurship at Rochester Institute of Technology created a Ning network on the topic, bringing undergrads enrolled in the course into contact with over a hundred graduate students, venture capitalists, faculty, practitioners, and business owners around the world.

An educational technology course at George Mason University uses Pageflakes as the hub of a learning community. Content is dynamically assembled from a variety of timely sources, integrating it with student work from Flickr and other sources, all via RSS.

The Flat Classroom Project (flatclassroomproject.ning.com) uses a Ning workspace to create a sense of space that is shared by students located in the U.S. and in Qatar.

to allow faculty to collaborate on course materials and leverage one another’s work.

It is true that blogs are Web pages, but their reverse-chronological structure implies a different rhetorical purpose than a Web page, which has no inherent timeliness. That altered rhetoric helped shape a different audience, the blogging public, with its emergent social practices of blogrolling, extensive hyperlinking, and discussion threads attached not to pages but to content chunks within them. Reading and searching this world is significantly different from searching the entire Web world. Still, social software does not indicate a sharp break with the old but, rather, the gradual emergence of a new type of practice.

Rather than following the notion of the Web as book, they are predicated on microcontent. Blogs are about posts, not pages. Wikis are streams of conversation, revision, amendment, and truncation. Podcasts are shuttled between Web sites, RSS feeds, and diverse players. These content blocks can be saved, summarized, addressed, copied, quoted, and built into new projects. Browsers respond to this boom in microcontent with bookmarklets in toolbars, letting users fling something from one page into a Web service that yields up another page. AJAX-style pages feed content bits into pages without reloading them, like the frames of old but without such blatant seams. They combine the widely used, open XML standard with Java functions.3 Google Maps is a popular example of this, smoothly drawing directional information and satellite imagery down into a browser.

Web 2.0 builds on this original microcontent drive, with users developing Web content, often collaboratively and often open to the world.

openness remains a hallmark of this emergent movement, both ideologically and technologically.

Drawing on the “wisdom of crowds” argument, Web 2.0 services respond more deeply to users than Web 1.0 services. A leading form of this is a controversial new form of metadata, the folksonomy.

Third, people tend to tag socially. That is, they learn from other taggers and respond to other, published groups of tags, or “tagsets.”

First, users actually use tags.

Social bookmarking is one of the signature Web 2.0 categories, one that did not exist a few years ago and that is now represented by dozens of projects.

This is classic social software—and a rare case of people connecting through shared metadata.

RawSugar (http://www.rawsugar.com/) and several others expand user personalization. They can present a user’s picture, some background about the person, a feed of their interests, and so on, creating a broader base for bookmark publishing and sharing. This may extend the appeal of the practice to those who find the focus of del.icio.us too narrow. In this way too, a Web 2.0 project learns from others—here, blogs and social networking tools.

How can social bookmarking play a role in higher education? Pedagogical applications stem from their affordance of collaborative information discovery.

First, they act as an “outboard memory,” a location to store links that might be lost to time, scattered across different browser bookmark settings, or distributed in e-mails, printouts, and Web links. Second, finding people with related interests can magnify one’s work by learning from others or by leading to new collaborations. Third, the practice of user-created tagging can offer new perspectives on one’s research, as clusters of tags reveal patterns (or absences) not immediately visible by examining one of several URLs. Fourth, the ability to create multi-authored bookmark pages can be useful for team projects, as each member can upload resources discovered, no matter their location or timing. Tagging can then surface individual perspectives within the collective. Fifth, following a bookmark site gives insights into the owner’s (or owners’) research, which could play well in a classroom setting as an instructor tracks students’ progress. Students, in turn, can learn from their professor’s discoveries.

After e-mail lists, discussion forums, groupware, documents edited and exchanged between individuals, and blogs, perhaps the writing application most thoroughly grounded in social interaction is the wiki. Wiki pages allow users to quickly edit their content from within the browser window.11 They originally hit the Web in the late 1990s (another sign that Web 2.0 is emergent and historical, not a brand-new thing)

How do social writing platforms intersect with the world of higher education? They appear to be logistically useful tools for a variety of campus needs, from student group learning to faculty department work to staff collaborations. Pedagogically, one can imagine writing exercises based on these tools, building on the established body of collaborative composition practice. These services offer an alternative platform for peer editing, supporting the now-traditional elements of computer-mediated writing—asynchronous writing, groupwork for distributed members

Blogging has become, in many ways, the signature item of social software, being a form of digital writing that has grown rapidly into an influential force in many venues, both on- and off-line. One reason for the popularity of blogs is the way they embody the read/write Web notion. Readers can push back on a blog post by commenting on it. These comments are then addressable, forming new microcontent. Web services have grown up around blog comments, most recently in the form of aggregation tools, such as coComment (http://www.cocomment.com/). CoComment lets users keep track of their comments across myriad sites, via a tiny bookmarklet and a single Web page.

Technorati (http://technorati.com/) and IceRocket (http://icerocket.com/) head in the opposite direction of these sites, searching for who (usually a blogger) has recently linked to a specific item or site. Technorati is perhaps the most famous blog-search tool. Among other functions, it has emphasized tagging as part of search and discovery, recommending (and rewarding) users who add tags to their blog posts. Bloggers can register their site for free with Technorati; their posts will then be searchable by content and supplemental tags.

Many of these services allow users to save their searches as RSS feeds to be returned to and examined in an RSS reader, such as Bloglines (http://www.bloglines.com/) or NetNewsWire (http://ranchero.com/netnewswire/). This subtle ability is neatly recursive in Web 2.0 terms, since it lets users create microcontent (RSS search terms) about microcontent (blog posts). Being merely text strings, such search feeds are shareable in all sorts of ways, so one can imagine collaborative research projects based on growing swarms of these feeds—social bookmarking plus social search.

Students can search the blogosphere for political commentary, current cultural items, public developments in science, business news, and so on.

The ability to save and share a search, and in the case of PubSub, to literally search the future, lets students and faculty follow a search over time, perhaps across a span of weeks in a semester. As the live content changes, tools like Waypath’s topic stream, BlogPulse’s trend visualizations, or DayPop’s word generator let a student analyze how a story, topic, idea, or discussion changes over time. Furthermore, the social nature of these tools means that collaboration between classes, departments, campuses, or regions is easily supported. One could imagine faculty and students across the United States following, for example, the career of an Islamic feminist or the outcome of a genomic patent and discussing the issue through these and other Web 2.0 tools. Such a collaboration could, in turn, be discovered, followed, and perhaps joined by students and faculty around the world. Extending the image, one can imagine such a social research object becoming a learning object or an alternative to courseware.

A glance at Blogdex offers a rough snapshot of what the blogosphere is tending to pay attention to.

A closer look at an individual Blogdex result reveals the blogs that link to a story. As we saw with del.icio.us, this publication of interest allows the user to follow up on commentary, to see why those links are there, and to learn about those doing the linking. Once again, this is a service that connects people through shared interest in information.

The rich search possibilities opened up by these tools can further enhance the pedagogy of current events. A political science class could explore different views of a news story through traditional media using Google News, then from the world of blogs via Memeorandum. A history class could use Blogdex in an exercise in thinking about worldviews. There are also possibilities for a campus information environment. What would a student newspaper look like, for example, with a section based on the Digg approach or the OhmyNews structure? Thematizing these tools as objects for academic scrutiny, the operation and success of such projects is worthy of study in numerous disciplines, from communication to media studies, sociology to computer science.

At the same time, many services are hosted externally to academia. They are the creations of enthusiasts or business enterprises and do not necessarily embrace the culture of higher education.

Lawrence Lessig, J. D. Lasica, and others remind us that as tools get easier to use and practices become more widespread, it also becomes easier for average citizens to commit copyright violations.19

Web 2.0’s lowered barrier to entry may influence a variety of cultural forms with powerful implications for education, from storytelling to classroom teaching to individual learning. It is much simpler to set up a del.icio.us tag for a topic one wants to pursue or to spin off a blog or blog departmental topic than it is to physically meet co-learners and experts in a classroom or even to track down a professor. Starting a wiki-level text entry is far easier than beginning an article or book.

How can higher education respond, when it offers a complex, contradictory mix of openness and restriction, public engagement and cloistering?

t's worth noting that in this particular study "social media" includes text messaging. Combined with blogging and social networking, these three technologies are used by 50% of U.S. adults for communication purposes.

85% of rely on one of the three platforms to stay in touch with others.

demographic

Side Note: Personally, I find the terminology "the great unwashed (masses)" a little demeaning. The fact is that those at the lower end of the technology-use spectrum don't use things like text messaging and the internet as much because they are usually economically disadvantaged - an unfortunate condition that has numerous causes including everything from poor educational resources to lack of job opportunities in their geographic region. Lumping this lower-income group into one "great unwashed" group was an unnecessarily cruel way to address those not participating in the social media revolution.

1 out of 10 U.S. adults now publish blogs (up from 5% last year) 1 out of 5 18-34-year olds publish blogs (up from 10% last year) 22% of U.S. adults use IM (up from 9% last year) 21% of 18-34-year olds use IM (up from 14% last year)

I think now it's taking off because social networks are taking off...People may have been doing it before, but may not have realized it. Now they're recognizing it for what it is."

Although these numbers look promising for our favorite genre, social media, they should probably be taken with a grain of salt. While we do believe that text messaging is an important method of communication, it doesn't quite fit with what the standard definition of social media is: blogging, social networking sites, and other web properties that engage collective groups of people to drive their content. We would like to see how the numbers really break down among the three "social media" activities they measured, but that data was not immediately available.

In exploratory qualitative research, we have undertaken indicates the consumer might take a broader view of what social media might mean. For example, it could be taken by consumers to mean any digital form of personal communication that helps enable peer collaboration and sharing. This softer, less-structured definition is possibly useful in determining possible future growth areas of personal social P2P media from a consumer-centric POV."

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.

The familiar "world to the desktop." Provides access to distant experts and archives and enables collaborations, mentoring relationships, and virtual communities of practice. This interface is evolving through initiatives such as Internet2. "Alice in Wonderland" multiuser virtual environments (MUVEs). Participants' avatars (self-created digital characters) interact with computer-based agents and digital artifacts in virtual contexts. The initial stages of studies on shared virtual environments are characterized by advances in Internet games and work in virtual reality. Ubiquitous computing. Mobile wireless devices infuse virtual resources as we move through the real world. The early stages of "augmented reality" interfaces are characterized by research on the role of "smart objects" and "intelligent contexts" in learning and doing.

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.

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.