31 ms·
> Metrics are indicators of success/failure, they are not success/failure, so if you try to optimise towards metrics you ultimately just screw yourself. True f
by liotier 12y ago
> Metrics are indicators of success/failure, they are not success/failure, so if you try to optimise towards metrics you ultimately just screw yourself.
True for the student, but true for the professor too... Why produce a bogus metric such as reading assiduity ?
- cowbell 12y agoApplied correctly, I can see it being useful in modeling machine learning algorithms. More data points are almost always a good thing there. If simply dumped in front of school teachers and administrators, I suspect it would be harmful. The data will simply reinforce biases those people already have about certain students. Interestingly, the data could be turned around on the teachers as well. A teacher may be so effective that students can pass courses without reading the material. Administrators might not recognize the astounding ability of the teacher and instead interpret it as a teacher handing out easy As.