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You can see the full caption file with timestamps and even download them as a text document. You can also upload your own captions as its own track — useful if auto-captioning isn’t doing the job or to make edits to the auto-captioned text.

With auto-captioning, these people can simply use text-based search to find what they need.

You can specify search only brings up videos with closed captioning (it shows the cc icon in search). In the past, when he was at MIT, he couldn’t understand lectures because he had no sign interpreter. Now he can use the captioning to watch lectures he missed.

Now students of the California School for the Deaf are speaking (sign language) on how they feel not excluded anymore from the major phenomenon of web video and are grateful to Google for building this technology.

It's confusing at first, but it is also flowing.

Yes, we're a collective intelligence, which is exhilarating, but we're a toddler collective intelligence, stumbling around learning to walk and trying to figure out where we're going at the same time. A number of new skills are required in short order. Information and communication flow through multiple simultaneous channels. The enterprise is challenging - that's part of the exercise. Taking my direction from George Siemens' ideas about networked learning ("we emphasize that early course experiences tend to be overwhelming and chaotic") I assure co-learners early and often that we can relax, accept and even embrace the chaos, and regard our networked attempts to make sense of it as the scaffold for our co-learning. 

Instead of seeking to put every fact in its place in an existing well-ordered taxonomy, why not seek to learn together by asking questions about what puzzles us, then organizing our discussions and mining them for knowledge?

Sometimes, I get into predicaments and don't know how to quit a webtour or place people in breakout rooms. So I calmly start exploring possible solutions, talking about it as I try to recover. While doing so, I also talk about the importance of exploring close enough to the edge to fall over it frequently. I model tolerance for error, learning from error, pushing the envelope of tech. Indeed, I've found that the earlier I can break something and fix it in public, the better. We talk about what works and what doesn't, discard what doesn't suit our purposes, push a tool further if it helps us learn together. It requires regular doses of humility to abandon what seemed like a bright idea at the time.

The objective is a culture of conversation that troubleshoots practical skills, explores theoretical underpinnings, dissects social implications.

Our internal social bookmarks enable us to create a mini-collective-intelligence by gathering resources about our discussion topics, selecting or writing descriptive snippets, assigning tags. The emerging tag-cloud serves as an index to the resources.

Wiki-work is about collaborative authoring.

In the process of using these tools to try to make sense together, we co-construct our learning. The last week of the course is about re-examining our learning process, reiterating the most important things we've learned, and redesigning the parts of the process that didn't work so well.