A method/apparatus/system for generating a request for improvement of a data object in a neural network is described herein. The neural network contains a plurality of data objects each made of an aggregation of content. The data objects of the neural network are interconnected based on one or several skill levels embodied in the content of the data objects via a plurality of connecting vectors. These connecting vectors can be generated and/or modified based on data collected from the iterative transversal of the connecting vectors by one or several users of the neural network.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method of maintaining a connecting vector comprising: generating on the processor a connecting vector linking a first data object comprising first content to a second data object comprising second content, the connecting vector comprising a direction identifying a prerequisite relationship between the first and second data objects and a strength indicating a likelihood of a user successfully traversing the connecting vector; receiving at the processor an input indicative of the traversal of the connecting vector; determining on the processor a value according to a Boolean function, wherein the value comprises a first value when the input indicates a successful traversal and wherein the value comprises a second value when the input indicates an unsuccessful traversal, and strengthening the connecting vector when the first value is determined. 2. The method of claim 1, further comprising retrieving a success threshold, wherein the success threshold is a value, the attainment of which indicates success or failure in the traversal of the connecting vector. 3. The method of claim 2, wherein the success threshold comprises a plurality of thresholds. 4. The method of claim 3, wherein some of the thresholds delineate between successful traversal of the connecting vector and unsuccessful traversal of the connecting vector with respect to different success metrics. 5. The method of claim 3, wherein the data object comprises a plurality of content objects, each content object containing a portion of the learning content of the data object. 6. The method of claim 5, wherein each of the content objects of the data object is associated with at least one of the some of the plurality of success metrics. 7. The method of claim 5, wherein at least one of the some of the plurality of success metrics is indicative of mastery of the lexile content of the data object. 8. The method of claim 5, wherein at least one of the some of the plurality of success metrics is an indicator of mastery of the quantile content of the data object. 9. The method of claim 5, further comprising generating an assessment associated with the second data object, wherein the assessment comprises a plurality of questions directed to the success metrics. 10. The method of claim 2, wherein determining a value according to a Boolean function further comprises comparing the input indicative of the traversal of the connecting vector to the success threshold; and wherein the value is assigned if the comparison of the input indicative of the traversal of the connecting vector to the success threshold indicates a successful traversal of the connecting vector. 11. A system for recommending a learning path, the system comprising: memory comprising a plurality of data objects forming an object network; and a processor configured to: generate a connecting vector linking a first data object comprising first content to a second data object comprising second content, the connecting vector comprising a direction identifying a prerequisite relationship between the first and second data objects and a strength indicating a likelihood of a user successfully traversing the connecting vector; receive an input indicative of the traversal of the connecting vector; determine a value according to a Boolean function, wherein the value comprises a first value when the input indicates a successful traversal and wherein the value comprises a second value when the input indicates an unsuccessful traversal, and strengthen the connecting vector when the first value is determined. 12. The system of claim 11, wherein the processor is further configured to retrieve a success threshold, wherein the success threshold is a value, the attainment of which indicates success or failure in the traversal of the connecting vector. 13. The system of claim 12, wherein the success threshold comprises a plurality of thresholds. 14. The system of claim 13, wherein some of the thresholds delineate between successful traversal of the connecting vector and unsuccessful traversal of the connecting vector with respect to different success metrics. 15. The system of claim 13, wherein the data object comprises a plurality of content objects, each content object containing a portion of the learning content of the data object. 16. The system of claim 15, wherein each of the content objects of the data object is associated with at least one of the some of the plurality of success metrics. 17. The system of claim 15, wherein at least one of the some of the plurality of success metrics is indicative of mastery of the lexile content of the data object. 18. The system of claim 15, wherein at least one of the some of the plurality of success metrics is an indicator of mastery of the quantile content of the data object. 19. The system of claim 15, wherein the processor is further configured to generate an assessment associated with the second data object, wherein the assessment comprises a plurality of questions directed to the success metrics. 20. The system of claim 12, wherein determining a value according to a Boolean function further comprises: comparing the input indicative of the traversal of the connecting vector to the success threshold; and wherein the value is assigned if the comparison of the input indicative of the traversal of the connecting vector to the success threshold indicates a successful traversal of the connecting vector.