>Why did such errors occur?
>When the algorithm finds an ideal candidate for a position, it does not reset the list of remaining candidates before commencing the search to fill the next vacancy. Thus, those candidates who missed out on the first role that matched their preferences are definitively discarded from the pool of available teachers, with no possibility of employment. The algorithm classes those discarded teachers as “drop-outs”, ignoring the possibility of matching them with new vacancies.
And (possibly) also incorrect data:
>Often teachers input the wrong data on the system because of an interface that is not very transparent, complex and difficult to access. The scores can therefore already be distorted upstream, without taking into account human errors by the school offices.” Aspiring teachers often find themselves alone in facing complex procedures and error is often inevitable and sometimes irreparable.