1. A machine learning system for generating a request for improvement of a data object in a neural network, the system comprising: a database server comprising: a plurality of data objects comprising an aggregation of content associated with an assessment, wherein the plurality of data objects are included in a neural network; information associated with the data objects and identifying an aspect of the therewith associated data object; a supervisor device configured to remotely access the database server and to edit one or several of the plurality of data objects; a content management server configured to: identify a set of the plurality of data objects; output a query requesting information relating to at least one of the set of the plurality of data objects from the database server; identify a plurality of connecting vectors, wherein each of the plurality of connecting vectors connects two of the set of the plurality of data objects in a prerequisite relationship, wherein each of the plurality of connecting vectors comprises a direction identifying the hierarchy of the prerequisite relationship and a magnitude, wherein the magnitude of at least one of the plurality of connecting vector is the aggregate of binary indicators based on a user experience with the at least one of the plurality of connecting vectors generated via machine learning from iterated traversals of the connecting vector; determine a deficiency in the content of at least one of the data objects based on the magnitude of at least one connecting vector of the at least one of the data objects; and alert the supervisor device to trigger modification of the at least one of the data objects having a determined deficiency.