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Students’ Right to Pedagogical Privacy

Facebook and Google have been the subject of prying eyes lately as concerns about their handling of users’ private information. Google’s Buzz, remember, broadcasted user contacts without consent.  As learning goes virtual in NYC and around the world, it’s worth asking:  is learning a private act?

To some extent, school is a very public space.  Teachers address many students at once, students inevitably know each others’ grades, and reading aloud is as likely to reveal much about a reader’s fluency, or lack thereof. Still, when is learning private and when is privacy essential for learning?

It seems to me that there isn’t a straight answer to this question. That might make it even more important. What if we have this unspoken assumption that public and social learning is always a good thing? (Not much of a stretch, in my experience.)  I think we might gain much insight from posing these kinds of questions to our students.  How might they respond?

I blogged a few weeks ago about the return of super-lecturers. Though I meant it only half in jest, I now think that balancing the public kinds of learning with a new focus on private learning could give us greater insight into students’ learning habits.

Another side of the issue has to do with the kinds of information learning management systems gather about kids. Could students argue that software which tracks how long they take to answer a question a breech of their pedagogical privacy?   What can online course providers learn from the missteps of Google and Facebook? That is, aside from “don’t get caught”!

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So Much to Learn

The NY Times recently reported about efforts Google and IBM are taking to work with universities to help students become more deft sifters of data:

It is a rare criticism of elite American university students that they do not think big enough. But that is exactly the complaint from some of the largest technology companies and the federal government.

At the heart of this criticism is data. Researchers and workers in fields as diverse as bio-technology, astronomy and computer science will soon find themselves overwhelmed with information. Better telescopes and genome sequencers are as much to blame for this data glut as are faster computers and bigger hard drives.

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