Life lately has felt like one of those dreams where you’re in a cab with your third-grade teacher on the way to a conference presentation you forgot to prepare for and then suddenly the cab morphs into a giant recycling plant and everything is spinning and…
What? You don’t have those dreams?
I have them when things get busy. It’s like a grand exercise in convergence: everything blurs together.
From the midst of the blur, though, there’s a thread I want to try to untangle from the early weeks of #etmooc (Educational Technology and Media, a collaboratively-hosted connectivist MOOC) and #edcmooc (E-learning and Digital Cultures, my first Coursera effort, offered through the University of Edinburgh). I’m taking both at once, in admittedly a bit of a peripheral way.
But the ideas are starting to bounce off each other and amplify…and then weave back together around this thread of technological determinism. Or, as I like to call it, the spectre haunting networked culture.
Technological Determinism 101
We live in a culture saturated with the idea that technologies are, effectively, things in themselves, in spite of the fact that they arise from and are utilized and therefore given meaning within particular social and cultural contexts. We tend to see technologies in terms of their “thingness” – their shiny gadget glory – rather than in terms of the affordances or action possibilities they enable in different societal situations. This separation of thing from context and possibility leads to to determinism, or the belief that machines have the capacity to act on us and do things to us in and of themselves.
Determinism has a long and fairly star-studded history: from Socrates’ laments about what writing would do to memory through Marshall McLuhan and down to Nicholas Carr’s present-day ideas about Google making us stupid, lots of smart and famous people have forwarded rather deterministic views of the technologies of their times, during those times. Determinism tends towards answers in times of change. Maybe this is why it’s popular?
Now, I’m not saying all determinist conclusions about technologies are wrong. I am saying that the way determinism gets to them creates problems. Determinism tends towards a reductionist view of what technologies are and do, assuming direct cause-effect relationships between technologies and what they make possible. Determinism also tends to attribute social phenomena that occur around given technologies to the technologies themselves, rather than what they stand for or enable or afford. Therefore, it renders the perspective on those phenomena forever skewed and tech-focused, so long as the determinist lens is still in place.
Technologies Don’t Connect People: Networked Relationships Connect People
What’s wrong with that? Lots.
The current American gun control debate is perhaps the most dramatic lens through which to illustrate the ways in which technological determinism makes for stupid arguments. Alas, in this case, it makes them stupid on both sides of the fence.
Determinism is, in effect, a world view; one that reduces societal phenomena to “technology x did thing y.” The rest of the factors involved in the conversation get obscured or intentionally dismissed: the power of the technology to act is assumed, even when the determinist is arguing against the statement being put forward. Thus the anti-gun-control maxim “guns don’t kill people; people kill people” isn’t knee-jerk anti-determinism but actually determinism at work. It effectively controls and reduces the conversation to an assertion that guns get up by themselves and commit murder, and then smacks that down.
Now, maybe some people actually believe guns act like the brooms in Fantasia, multiplying and sweeping all by themselves. Most arguments for gun control and gun bans don’t actually operate that way, though. Those that do are determinist, and not very convincing, IMO. Guns and their availability absolutely DO lead to increased numbers of deaths, but no, generally not without people to pull the triggers.
What determinism does, though, is keep the conversation focused around a simple if specious cause-effect assertion and away from the whole host of demographic factors and identity factors and cultural factors that put people at risk from guns and support the argument for restricted access. Determinism dismisses complexity and reinforces the idea that societal equations are simple, even when it’s pressed into service against simple equations few people are actually making. Culturally, we are trained and conditioned to accept technological determinism as common sense.
What does this have to do with networks and the admittedly less urgent issues around connected learning and the MOOCs I’m hanging out in? I think determinism and its prevalence as a cultural worldview are a very big part of what make the whole purpose and point of networking essentially invisible to those who aren’t immersed in it.
And I have #edcmooc and #etmooc to thank for converging to point that out to me.
Tech Utopias and Tech Dystopias are All Determinism
The very first week of #etcmooc boldly opened the conversation about digital cultures from an exploration of both Utopian and Dystopian perspectives on digital technologies within cultures, as well as a great foundational reading arguing against determinism. Part of me is tickled by this, because it’s making for great imagination fodder in the tweets and discussion, but I also note that the flights of (really artistically compelling) determinism represented by the best Dystopias and Utopias tend to reinforce the same worldview . Like the “guns don’t kill people” mantra, Dystopian and Utopian narratives frame thinking about technologies in their own binary good/bad terms. So it’ll be interesting to see if and how the class actually breaks down those binaries as we carry on, or if we get stuck there, endlessly debating whether digital culture is Utopic or Dystopic.
For my part, I think digital culture – and particularly networked culture – is neither. It has elements of good and bad, but good or bad is, from my non-determinist’s lens, the wrong question to even be asking.
But I do think determinism gets in the way of many of the conversations I try to have about networked culture, as a teacher and a scholar and a blogger whose work is largely about framing this complex set of practices within various non-networked contexts.
How the Add-On Perspective Misses the Point
I saw this again last night, when I tuned into George Couros‘ #etmooc discussion of connected leadership. George is an actively networked Division Principal who shares his learning and his educational practice, and who advocates for encouraging this type of connection across educational communities and between stakeholders.
In the backchannel chat on Collaborate, there was a lot of anecdotal discussion of the differences connection – ie building networked professional profiles via social media – has made for many of us, as well as a particularly skeptical response from one participant who kept saying things along the lines of, “but we didn’t have social networking sites when I was a kid, and I turned out fine.”
In my life outside of MOOCs, I meet a lot of people with these kinds of positions on social media. Many of them are my loved ones, my good friends, my colleagues and teachers. Many of them have also never really tried the things they dismiss so easily, so kudos to the dude in the #etmooc chat for being willing to engage in the networked environment of the MOOC long enough to make the point, at least.
But it is a point that tends to miss the point. It’s a point that assumes social networks are an add-on, an extra…essentially a tech toy or a diversion from the “real” work or “real” sociality that makes the world go round. It hears all this enthusiasm about connection as about the social networking platforms themselves – “yay blog!’ or “yay Twitter!” – and not about the connections and actions and forms of identity that those networked environments make possible. It’s determinism, in that it reduces conversation about social networks to a conversation about platforms and tech, not about people and the ways in which they intersect with those platforms and tech to create new possibilities.
Twitter is not a Ferrari
Subtle distinction, maybe. And one that we’ve been acculturated to miss: enthusiasm related to technologies WAS mostly about the tech platform itself, back in the mechanical and even early digital ages. If I’m excited about driving a Ferrari, for instance, it’s likely not the fact that I’m off to see Grandma or wide open spaces that is actually the focus of my excitement, but rather the Ferrari itself.
Now, Twitter is no Ferrari, but early – and pervasive – geek culture stereotypes tend to perpetuate this narrative of the hard-on for the thing in itself rather than what it affords. And those of us who don’t self-identify as geeks – I’m one, for all my immersion in the digitally networked sphere – are trained to recognize this narrative as Other and thus reject it.
Thus to those who’ve never really used a social network other than FB, where you’re pretty much talking to people you know, the chatter about how marvellous being a connected educator or scholar or simply human can be probably sounds a lot like “yay Twitter!” They look at us, and think, “man, those people get TOO excited about 140-character-limits on expression” and we all go about our merry business still completely misunderstanding each other.
Does Connection Minimize Technological Determinism?
The narratives we have around technologies and society and their intersections aren’t hugely visible to most of us. And they tend to shift with use: I have yet to see anyone deeply embedded within networked culture – whether as an educator or a momblogger or a poet – who has a determinist view of technologies. This isn’t a matter of chicken-egg…over nearly seven years, I’ve watched even people who started out quite convinced that their online lives were an add-on utterly separate from their real lives and that blog platforms were fun in and of themselves move to deeply embedded networked identities.
But many don’t start. And I’m thinking maybe being able to recognize technological determinism and address it directly might give those of us who find value in networked connections and connected learning an important tool for building better conversations about this, and therefore better connections.