I’m about to start a wild experiment in learning, by participating in various online courses, using various social media platforms. I have various objectives:
– to experience what learning could mean in this century and what it tells us about the changes in society and in the economy.
– to gain a deeper understanding in the philosophical underpinnings of new media.
– to become more creative, by better understanding what’s “new” about new media.
– to experiment with ways to combine various social media for online learning processes in the broadest sense of the word “learning”.
I’m not an educator working in a school or university, but a financial blogger/journalist/newspaper community manager. I’m already using Twitter, blogs, curating tools and chat systems to interact with our community. This, in my opinion, is a form of online learning and I hope to develop new practices inspired by the courses I’ll participate in during this Fall.
New Media Studies
The course which seems more “philosophical” is Awakening the Digital Imagination: A Networked Faculty-Staff Development Seminar coordinated by Professor Gardner Campbell, Virginia Tech.
The course runs almost every week from September 12 through December 2. There is a syllabus, The New Media Reader (MIT Press, 2003) and we’ll work on various platforms such as Twitter, Flickr and… Second Life. The project in Second Life is being facilitated by Liz Dorland, Washington University (Chimera Cosmos in Second Life) and by Robin Heyden, Heyden Ty (Spiral Theas in Second Life) and the infohub and group blog are up and running.
This week we’ll discuss Vannevar Bush, “As We May Think“. The first week the participants discussed Inventing the Medium by Janet H. Murray, the Introduction of The New Media Reader and watched this video:
The video says “the Machine is Us/ing Us”. While using the web we’re teaching the Machine, which learns from our billions of daily online actions. The Machine is not just connecting data, it’s connecting people. In that sense one could dream of an exponentially increasing worldwide intelligence, which eventually becomes self-learning (the Technological Singularity discussion). It reminds us of the optimism of engineers, who realize that our world and our survival become ever more complicated. However, engineers are optimistic: complexity is a problem which can be tackled. Computers and networks change Thought itself, and enable it to tackle the big challenges of our time.
But then again there are these other thinkers, more to be found in the humanities: they talk for tens of years now about the end of the big Ideologies, the end of the big metaphysical stories making sense of it all. Patient deconstruction and analysis show the fallacies, the inconsistencies, the circular reasonings in those stories. Should we confront the supposed cynical smile of the humanities-expert with the optimism of the engineer, or rather deconstruct this opposition? I’ll find out in the weeks to come.
I also registered at the Massive Online Open Course (MOOC) Change, an international, distributed and rhizome-like learning network/experience. I also attended previous, similar editions (the Connectivism courses), often as a lurker, sometimes active. It’s bewildering and mind-blowing, no, mind-amplifying!
The course is facilitated by Â Dave Cormier,Â George SiemensÂ andÂ Stephen Downes.
Dave Cormier offers this video to explain what we’re up to.
In a post about how to participate it is explained that: “…there is no one central curriculum that every person follows. The learning takes place through the interaction with resources and course participants, not through memorizing content. By selecting your own materials, you create your own unique perspective on the subject matter.”
The interactions take place on various social media platforms, using many tools.
The last part of my program for this fall is studying MIT OpenCourseWare Introduction to Computer Science and Programming (instructors are Prof. Eric Grimson and Prof. John Guttag). The idea is to learn how computer scientists actually think and in that sense the course is about much more than just “learning how to program in Python”.
Interesting to see is how the video, transcripts, reading material can be consulted for free, while direct interaction with the teaching staff is reserved for those who pay the hefty fee for studying at the MIT. This does not mean that using these course materials is devoid from any interaction: OpenStudy provides a platform for collaboration with fellow-users (the platform could also be used for the Change MOOC).
The issue of how to facilitate learning collaboration while also protecting the business model of universities is solved in another way by Stanford University: they’re organizing an Open Class on Artificial Intelligence. Participants will not be able to ask questions directly, but a voting system will select a number of questions which will be answered by the instructors.
That’s one of the fascinating aspects of these courses: we learn how to practice and think in new ways, and while trying to do so it becomes obvious to the participants that the activity of learning itself and the institutions of learning are being confronted with disruptive change.