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March 28, 2013

[annotation][2b2k] Phil Desenne on Harvard annotation tools

Phil Desenne begins with a brief history of annotation tools at Harvard. There are a lot, for annotating from everything to texts to scrolls to music scores to video. Most of them are collaborative tools. The collaborative tool has gone from Adobe AIR to Harvard iSites, to open source HTML 5. “It’s been a wonderful experience.” It’s been picked up by groups in Mexico, South America and Europe.

NOTE: Live-blogging. Getting things wrong. Missing points. Omitting key information. Introducing artificial choppiness. Over-emphasizing small matters. Paraphrasing badly. Not running a spellpchecker. Mangling other people’s ideas and words. You are warned, people.

Phil works on edX. “We’re beginning to introduce annotation into edX.” It’s being used to encourage close reading. “It’s the beginning of a new way of thinking about teaching and assessing students.” Students tag the text, which “is the beginning of a semantic tagging system…Eventually we want to create a semantic ontology.”

What are the implications for the “MOOC Generation”? MOOC students are out finding information anywhere they can. They stick within a single learning management system (LMS). LMS’s usually have commentary tools “but none of them talk with one another . Even within the same LMS you don’t have cross-referencing of the content.” We should have an interoperable layer that rides on top of the LMS’s.

Within edX, there are discussions within classes, courses, tutorials, etc. These should be aggregated so that the conversations can reach across the entire space, and, of course, outside of it. edX is now working on annotation systems that will do this. E.g., imagine being able to discuss a particular image or fragments of videos, and being able to insert images into streams of commentary. Plus analytics of these interations. Heatmaps of activity. And a student should be able to aggregate all her notes, journal-like, so they can be exported, saved, and commented on, “We’re talking about a persistent annotation layer with API access.” “We want to go there.”

For this we need stable repositories. They’ll use URNs.

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November 16, 2012

[2b2k] MOOCs as networks

Siva Vaidhyanathan [twitter: sivavaid] has a really well-done (as usual) article that reminds us that for all the excitement about Massive Open Online Courses — which he shares — we still have to figure out how to do them right. There are lots of ways to go wrong. (And I should hear note that I’m posting this in order to: (1) recommend Siva’s article, and (2) make an obvious point about MOOCs. Feel free to stop here.)

The fundamental issue, of course, is that real-world ed doesn’t scale very well. The largest classes in the real world are in the hundreds (oh, maybe some school has a course with thousands), and those classes are generally not held up as paradigms of Western ed. Further, traditional ed doesn’t scale in the sense that not everyone gets to go to college.

So, now we have a means for letting classes get very big indeed. Hundreds of thousands. Put in the terms of Too Big to Know, the question is: how do you make that enormous digital classroom smarter than the individuals in it? 2B2K’s answer (such as it is) is that you make a room smart by enabling its inhabitants to create a knowledge network.

  • Such a network would at a minimum connect all the participants laterally, as well as involving the teacher

  • It would encourage discussion of course topics, but be pleased about discussions that go off topic and engage students socially.

  • It would enable the natural experts and leaders among the students to emerge.

  • It would encourage links within and outside of the course network.

  • This network would enable students to do their work online and together, and make those processes and their traces fully available to the public.

  • All the linking, discussions, answered questions, etc., would be fed back into the system, making it available to everyone. (This assumes there are interactions that produce metadata about which contributions are particularly useful.)

  • It would encourage (via software, norms, and evaluations) useful disagreements and differences. It doesn’t always try to get everyone onto exactly the same page. Among other things, this means tolerating — appreciating and linking to — local differences among the students.

  • It would build upon the success of existing social tools, such as liking, thumbs upping, following…

  • Students would be encouraged to collaborate, rather than being evaluated only as individual participants.

  • The learning process would result in a site that has continuing value to the next students taking the course and to the world.

I’m not trying to present a Formula for Success, because I have no idea what will actually work or how to implement any ideas. Fortunately, there are tons of really smart people working on this now, with a genuine spirit of innovation. All I’m really saying is something obvious: to enable education to scale so that MOOCs don’t become what no one wants them to be — cyber lecture halls — it’s useful to think about the “classroom” as a network.

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