adamzerner said that he wanted a really fine-grained dependency map, at an even lower level than this. Are you also talking about such a level of fine-grainedness? I agree that dependency maps on the level of that map are likely to be cost-effective, it’s the more fine-grained ones that I was skeptical of.
If you are talking about an even lower level than the one displayed in that map, I’d love to hear more about it.
It is possible to detect correlations between questions (or even individual steps) and to implicitly determine skills at an even more fine grained level than that—given sufficient data. We aren’t aiming to get that specific right at the moment—indeed, we mightn’t have collected enough data yet to do that—but there’s no reason why we shouldn’t be able to do that
Having tagged data is extremely useful for designing these kinds of algorithms, but we would only require a proportion of the data to be tagged. So it wouldn’t be anywhere near as costly as you expect
Ohh, the Big Data approach. That makes sense, and also explains why it would be possible to do cost-effectively now when previous attempts haven’t gotten very far. Not sure why I didn’t think of that. Okay, formally retracting my skepticism.
adamzerner said that he wanted a really fine-grained dependency map, at an even lower level than this. Are you also talking about such a level of fine-grainedness? I agree that dependency maps on the level of that map are likely to be cost-effective, it’s the more fine-grained ones that I was skeptical of.
If you are talking about an even lower level than the one displayed in that map, I’d love to hear more about it.
It is possible to detect correlations between questions (or even individual steps) and to implicitly determine skills at an even more fine grained level than that—given sufficient data. We aren’t aiming to get that specific right at the moment—indeed, we mightn’t have collected enough data yet to do that—but there’s no reason why we shouldn’t be able to do that
Having tagged data is extremely useful for designing these kinds of algorithms, but we would only require a proportion of the data to be tagged. So it wouldn’t be anywhere near as costly as you expect
Ohh, the Big Data approach. That makes sense, and also explains why it would be possible to do cost-effectively now when previous attempts haven’t gotten very far. Not sure why I didn’t think of that. Okay, formally retracting my skepticism.