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Currently an 'equal distribution' of the participants can only be achieved by estimating how many participants there will be and then calculating a maximum number of participants per choice. So far so good.
It would probably make it a lot easier for some applications to have a checkbox "distribute equally" and then let the plugin do all the work.
The biggest problem as a user is to estimate the total number of participants. If you estimate too high, your choices room will be "too big", if you estimate to low, you will have to allocate manually.
The plugin however should know exactly(!) how many ratings it got and could then calculate the needed maximum number of participants for every choice.
Is something like this possible? Obviously, it would be over the top to alter the algorithm. But by using the mechanisms we've already got, I thought this might be doable.
The text was updated successfully, but these errors were encountered:
Could be a nice feature. It has addresses a similar issue than #36 describes. There the idea is outlined to be able to deactivate choices, if the number of students was over estimated.
An equal distribution can only be done, when the sizes of the choices are restricted accordingly before running the algorithm. Manually setting the sizes would then be no longer necessary/useful.
Since the whised problem, can already be solved using the existing possibilities (deactivating choices/ change sizes and rerun the algorithm) the priority is low.
Currently an 'equal distribution' of the participants can only be achieved by estimating how many participants there will be and then calculating a maximum number of participants per choice. So far so good.
It would probably make it a lot easier for some applications to have a checkbox "distribute equally" and then let the plugin do all the work.
The biggest problem as a user is to estimate the total number of participants. If you estimate too high, your choices room will be "too big", if you estimate to low, you will have to allocate manually.
The plugin however should know exactly(!) how many ratings it got and could then calculate the needed maximum number of participants for every choice.
Is something like this possible? Obviously, it would be over the top to alter the algorithm. But by using the mechanisms we've already got, I thought this might be doable.
The text was updated successfully, but these errors were encountered: