The idea that social media might transform the entirety of higher education may seem hyperbolic to some. For the first decade of the Internet, it was largely possible to think of the online world as separate and separable from the face-to-face experience of conventional pedagogy. One could choose to include an online element or even teach an online course, but one could also keep the Web out of the classroom, even going so far as to forbid the use of “online sources.” Today, however, participatory media networks and wireless technology bring social media into every pedagogic context. The immediate nature of face-to-face instruction often leads us to imagine that the practice of such teaching is largely driven by the local interactions between students and faculty. However, drawing on actor-network theory (ANT), developed by sociologist Bruno Latour (2005) and others, one can map how local events are linked as nodes on extensive networks of materials, institutions, policies, and technologies. Latour offers some insight into the networked condition of face-to-face pedagogy in the following assessment of the lecture hall:
This local site has been made to be a place by some locus through the now silent mediation of drawings, specifications, wood, concrete, steel, varnish, and paint; through the work of many workers and artisans who have now deserted the scene because they let objects carry their action in absentia; through the agency of alumni whose generous deeds might be rewarded by some bronze plaque. Locals are localized. Places are placed. And to remain so, myriads of people, behind the doors, have to keep up the premises so that you can remain, you along with your students, safely “in it.” (2005)
This only begins us thinking about the distributed network supporting the physical space of the classroom. One might also consider the international network of disciplinary structures that authorizes both the professor and the curriculum, which ranges from publishers to reviewers to accrediting bodies. And there are the broad range of college institutional structures, financing programs, and of course technological networks as well. There are a near inexhaustible list of nodes on the distributed network that supports the gathering of students and faculty into a classroom. Each of these mediates the events in this locale; each provides a degree of agency. The addition of social media alters the characteristics of the place in which we teach regardless of whether we choose to incorporate them or they are simply present because wireless access flows through the room. Social media have a different quality from these other nodes however because the dramatically reorient academia’s relationship with the rest of the world, bringing a global participatory network into direct contact with the classroom.
In the Fall 2007 semester, I employed Second Life for the first time in one of my courses. I had been exploring SL for about a year and knew that several of my colleagues in the library were very involved in it. The college had established a small grant program to support teaching “millennial students,” and my librarian colleagues and I received $2500. We also received some support from Information Resources to purchase an island. The librarians built Cortland’s island, while I piloted courses there, along with a few other faculty I had recruited. The librarians had developed their knowledge of SL by collaborating with faculty and staff from other colleges who had already established an SL presence. Similarly I drew upon online communities like the SL educators discussion list and wiki. Such professional development strategies are familiar to faculty and staff who already work with social media. However it is difficult to imagine that a college would have sought to implement new educational technology, even as a pilot, by such means five years ago. Ten years ago, such resources simply wouldn’t have existed. In short, an entirely new network of media and information structures the development of pedagogies in social media, and clearly not all of it emerges from existing educational institutions.
While new networks and actors are becoming involved in education through social media, more traditional institutional entities find themselves struggling. As we piloted Second Life, our academic computing staff faced the challenge of providing access to the SL client for students in campus computing labs. There was little or no campus technical support for students beyond the faculty and staff participants in the pilot. Two semesters later, the number of faculty interested in Second Life continues to grow but issues of support continue to be a challenge. So far, we have only implemented SL as a portion of courses. It is uncertain if the college could respond to a course taught in real time, with a scheduled meeting time, but a virtual location. Such matters may seem easy to address, but this rarely turns out to be the case. At a medium-sized institution like SUNY Cortland, the coordination costs of campus management are extensive. It has proven difficult to incorporate the campus CMS into the college’s curriculum. It is harder to imagine institutionalizing the perpetual beta of social media. As Clay Shirky (2008) explains, “Small decreases in transaction costs make businesses more efficient, because the constraints of the institutional dilemma get less severe. Large decreases in transaction costs create activities that can’t be taken on by businesses, or indeed by an institution, because no matter how cheap it becomes to perform a particular activity, there isn’t enough payoff to support the cost incurred by being an institution in the first place.”
There is a fundamental disconnect between the low-risk--and thus experimental--environment of social media and the risk-averse--and thus conservative--environment of higher education. In the perpetual beta of social media, one is continually adopting new practices. Because the costs involved in such practices are low, failure is not a significant concern. From an institutional perspective, higher education is not only averse to the risks of failure, it also desires to succeed in predictable, measurable, reproducible ways. This has increasingly become the case with the growing pressure for external assessment of colleges and universities. The emphasis on predictably contravenes one of the integral values of social media. While we may be able to predict on a general level that social media engenders the formation of new social groups, behaviors, and goals, it is far more difficult to predict which groups will be sustainable, what particular behaviors they will develop, and how they will articulate their goals. This is even more difficult looking at a relatively small group of participants. That is, what we might say about 18-24 year-old Americans in relation to YouTube may not apply to students on my campus and will say even less about the particular students enrolled in my course. Indeed, if one makes a range of social media available to students in a course, one will discover that attitudes toward, and use of, that social media will vary from one section of the course to another. This unpredictability is then intensified over time as applications develop and new practices emerge from one semester to the next. Of course it is possible to reduce this unpredictability by asserting teacherly authority and establishing specific directions for the use of various social media, but in doing this, one is counteracting the interactive potential that leads one to social media in the first place. Total control is not possible. A free-for-all is undesirable for pedagogic purposes. Instead, a social media pedagogy must necessarily be contextual, flexible, and responsive. Such pedagogies are shaped by the complex network of materials, institutions, and disciplines in which they are situated. Serious reform of teaching, as well as any significant incorporation of social media into higher education, cannot be accomplished without addressing those contexts. Such reforms can be undertaken, but it is difficult to imagine them occurring at a pace that can match the perpetual beta and rapid group formation of social media.
For example, SUNY Cortland has been using iTunesU since 2006. However only a handful of faculty have adopted the technology. To institutionalize iTunesU would require extensive marketing, education, training, and support. It would also mean developing a technological infrastructure by which lectures could be recorded and uploaded. In short, there would be extensive costs. What happens if it fails? What happens if a new technology emerges in two years? Even if one imagined the college had the resources to gamble in the first place, would it be responsible for the institution to take that risk? What is more likely, and what is already commonly visible, is the adoption of social media by individual faculty and the organic development of learning collaborations and support networks occurring outside of institutional structures. Individually I can do for myself what the institution cannot. I can produce podcasts with the technology I have laying around. I can find the training and support I need online. I am better off engaging in many of these activities without institutional support than I would be if I mired myself in institutional bureaucracy. And the institution is better off as well, at least in the short term.
However, as Shirky notes in the example of open source, the coordinating power and low transaction costs of networking present a long term challenge to institutions: “Why? The most important reasons are that open systems lower the cost of failure, they do not create biases in favor of predictable but substandard outcomes, and they make it simpler to integrate the contributions of people who contribute only a single idea” (2008). So not only is it the case that I, as an individual faculty member, can afford to fail where my institution cannot. This situation is replicated thousands of times over: thousands of faculty taking individual, low-cost risks. Institutions, on the other hand, necessarily favor low-risk, predictable outcomes and thus favor consistent mediocrity over inconsistent excellence. However distributed networks can draw upon the inconsistent but excellent contributor. Where it is impossible for the college to institutionalize applications that serve the interests of a handful of faculty, a distributed learning environment beyond the institution can easily encompass them. As such, we see the development of a very different actor-network. Where the network extending from the lecture hall is largely within the grasp of the institution, social media establishes a very different set of actor-networks, significantly altering the role of the institution in the classroom.