With heavy heart, I return to my analysis of the Twitch Speed paper, and begun here and continued here. Originally I thought I’d enjoy this bit, but as I’ve got more involved in the literature, I’ve realised - with help of some of you out there - that I’d much rather just move on. I’ll make this my last post on the seminal paper, and to boot I’ll throw in some comments on “Don’t Bother Me Mom - I’m Learning”. Then I’ll return that book to my colleague. And then I’ll finally move on.
The sections I’ll look at this time are Parallel vs. Linear Processing and Random Access vs. Linear Thinking. At first it seems obvious - parallel processing has to be better than linear: being able to deal with multiple strands at once. And old fashioned liner thinking! Who could possibly want that!
I think Prensky made a clever choice of terms here, so I’m going to change the labels for a start. So question: What do you call linear processing combined with linear thinking?
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