This weekend, I gave a short presentation at a great little student conference hosted here at UPEI: Difficult Dialogues: Exploring Relationships Between Identities and Power.
(When I say “short” I mean I was still talking when the poor timekeeper started waving the STOP sign in front of my face: it’s been awhile since I tried to encapsulate ideas into fifteen minutes.)
I made a few quick alterations to the slides after the presentation thanks to the really good questions and conversation that emerged, and in hopes of making the ideas reasonably clear on Slideshare even without an audio track. This is the first time I’ve really taken up this particular thread on the intersections between “student” and “networked learner”, so thanks to everyone at Difficult Dialogues for engaging with and supporting these ideas as I begin to work them through.
Learning in the Open:
The presentation troubles some of the categories of student that academia comes with, and how differing forces and logics govern the two spheres and the way learning is practiced within them. But I didn’t go far enough. While I’m a living, breathing advocate for the benefits of networked learning, it may be the problems with it that are the most instructional.
The keynote for the conference this weekend was S Bear Bergman, who gives one hell of a talk on sex, gender and trans identities. And while what I do may not intersect on the surface with Bear’s work as a thinker or a presenter, ze reminded me of something I know but have failed to transfer over to my analysis of learning and learners.
We are always signalling and reading
Engaging with each other as humans is a process of reading codes and signals.
(Okay, not entirely perhaps: I won’t wade into the “we are all texts” ontological discussion here.) But if our material and discursive signals to others aren’t readable or legible within the frameworks by which they comprehend the world, we tend to be rendered Other: either seen as transgressive or simply not seen at all.
In identity terms, visibility and speakability are necessary for legitimacy, for non-erasure. Only in the past few years have the identity signals and codes performed by queer and trans people begun to become readable and speakable on a scale that extends beyond those communities and makes those identities visible within the broader society. And slowly, slowly, mutually constituted with the very possibility of this legibility of trans people, society’s concepts of sex and gender are shifting.
Signalling networked learning
So perhaps it is with networks, though with far less advocacy, pain, marginalization and struggle, let me be very precise. But I believe learning – whether in online social networks or straight from the canon, bound in leather – involves being able to read and make sense of the codes and signals being given off by those you interact with, particularly those you expect to learn from. These are what I refer to when I talk about “legitimacy structures” within academia and networks in the final slide of the presentation above.
They are, in a sense, literacies. They’re what I’m stumbling towards when I talk about the networked or digital literacies that MOOCs – if they connect people – help develop.
I’ve been struggling to say what I research lately. Is it social media? Identities? MOOCs? Networks? My research is a process of trying to grasp and make visible a few ideas and realities from the midst of a flood. It’s about filtering and reflection and constant observation of moving targets. My sense of focus doesn’t shift so much as the ways in which it’s likely to be understood change all the time.
Part of the problem is filtering: I’ve realized recently that in my dissertation work I’ve failed, so far, to build a robust framework through which I can filter the seven hundred vaguely-related-to-the-Internet-and-learning-and-identities ideas that I encounter out here every day in my brilliant network. I meander in circles, fumbling to re-word and re-work things, trying to translate or adapt concepts I encounter and figure out whether they fit into the big picture of what we’re doing out here in this world of networked practice. Sometimes they do. Often they are rabbit holes. Seldom can I tell the difference in advance.
But what I learned at the conference on the weekend is that the filters and structure aren’t the whole challenge: how to translate and signal what I’m learning to two different audiences is also a process I’m going to have to address overtly. Because there are power structures that support and prop up societal views of knowledge that make networked knowledge and practices appear invisible or illegitimate.
For the many networked learners who are also formal students, this can be a very real problem: it can negate or frame as transgressive what is simply different. And within fields of knowledge and the academy in particular, it makes pressing contemporary conversations about online learning into polarizing and misleading soapboxes about what counts as real.
The fact that networked learners DO have signals and codes by which we connect and speak, though? Is a very important – and useful – fact. Because signals and codes – like all things that are read – can be learned.
The lack of face-to-face is not a void, only a lack of literacy
Whether networked learners are formal students within the academy as well, or no, many of us regularly come across sincere – and often deeply-thought-out objections – to the idea of online learning in general, and to its lack of the ineffable quality of authenticity in particular.
I think there are multiple axes of thought behind these objections, some of which lie in determinism or digital dualism or nostalgia or overt privileging of the physical over the virtual. But even among many participants of the MOOCs I’ve engaged in so far this winter – #MOOCMOOC, #etmooc,and #edcmooc – I see a strain of genuine hesitation to fully embrace networked learning as legitimate, or at least as AS legitimate as face-to-face learning.
And I think it’s a literacy issue. These people are, for the most part, highly traditionally literate – many are teachers and academics – and they are, to their great credit, game to give networked learning a try even if they’re not entirely sure it’s valid. But they are new to the game, and they haven’t yet put in the longterm immersion and reflection usually required to build literacies in a new environment: they can’t yet read the signals and codes by which we interact.
Because networked learning is not about technologies, or a lack of the human touch: these are simply common and understandable misconceptions given the narratives that circulate in our culture on the subject. Rather, if it’s truly about networks and not just mass broadcast, it’s about engaging with humans; about performing networked identity via the codes and signals that we digital selves share openly.
Just because that may not be visible doesn’t mean it doesn’t exist. But those of us to whom it is visible…we have a job ahead to continue to assert and translate and help make our identities readable and legitimate in the field of knowledge.