Thursday, May 24, 2012

Machine-Guided Learning Matches Teachers In Study

Is it though?

I mean consider the university lecture: you have 50 people in a room, 1 professor delivering essentially a fixed lecture. Even with questions answered live, you would struggle to deal with 10 students who wanted to ask different questions. And my university mathematics lectures were far bigger then that.

During my uni time, after a 1.5-2 hours lecture with 200 students, we had at least one 2-3 hours seminar - in smaller groups 18-20 at max - to discuss and detail the topics, explore consequences and solve problems. With one of the professor's assistants (every professor had 2 or 3). Each professor would have at max 16 h/week teaching and research for the rest of it (with or without students. BTW, does a 6 school-days/week, 8-10 hours/day somehow horrifies you?)

But when you think about it, it's also just a grossly inefficient use of resources. We have the technology to deliver lectures whenever we want, at any rate we want, at people's own pace. Surely we can think of a better use of human resources in this equation then narrating a powerpoint presentation.

If the "human resources" are just narrating a s

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