SYSTEM AND METHOD FOR CONSTRUCTING A UNIVERSITY MODEL GRAPH

摘要

An educational institution (also referred as a university) is rich with multiple kinds of data: students, faculty members, departments, divisions, and at university level. Relating and correlating this data at and across various levels help in obtaining a perspective about the educational institution. A structural representation captures the essence of all of the relationships in a unified manner and an important aspect of the relationship is the so-called “influence factor.” This factor indicates influencing effect of an entity over another entity, wherein the entities are a part of the structural representation. A system and method for the construction of such a structural representation of an educational institution based on the educational institution specific information is discussed.

主权项

1. A computer-implemented method for the construction of a structural representation of an educational institution in the form of a university model graph using a plurality of assessments and a plurality of influence values based on a university model graph database and a plurality of students of said educational institution,
said method performed on a computer system comprising at least one processor, one or more memory units, and one or more network interfaces for connecting said computer system to an Internet Protocol (IP) network, said method comprising the steps of:
determining, with at least one processor, a first student of said plurality of students;determining, with at least one processor, a plurality of transactions associated with said first student based on said university model graph database, wherein said plurality of transactions are within a pre-defined analysis period and a transaction of said plurality of transactions is associated with an attribute of a plurality of attributes comprising a test attribute, an assignment attribute, an exam attribute, an attend attribute, a focus attribute, and an attention attribute, and said transaction comprises a value with respect to said attribute with said value being between 0 and 1;determining, with at least one processor, a plurality of test transactions based on said plurality of transactions, wherein an attribute of a test transaction of said plurality of test transactions is said test attribute;computing, with at least one processor, a test factor (TF) of said first student based on said plurality of test transactions;determining, with at least one processor, a plurality of assignment transactions based on said plurality of transactions, wherein an attribute of an assignment transaction of said plurality of assignment transactions is said assignment attribute;computing, with at least one processor, an assignment factor (AF) of said first student based on said plurality of assignment transactions;determining, with at least one processor, a plurality of exam transactions based on said plurality of transactions, wherein an attribute of an exam transaction of said plurality of exam transactions is said exam attribute;computing, with at least one processor, an exam factor (EF) of said first student based on said plurality of exam transactions;determining, with at least one processor, a plurality of attend transactions based on said plurality of transactions, wherein an attribute of a attend transaction of said plurality of attend transactions is said attend attribute;computing, with at least one processor, an attend factor (AdF) of said first student based on said plurality of attend transactions;determining, with at least one processor, a plurality of focus transactions based on said plurality of transactions, wherein an attribute of a focus transaction of said plurality of focus transactions is said focus attribute;computing, with at least one processor, a focus factor (FF) of said first student based on said plurality of focus transactions;determining, with at least one processor, a plurality of attention transactions based on said plurality of transactions, wherein an attribute of an attention transaction of said plurality of attention transactions is said attention attribute;computing, with at least one processor, an attention factor (AtF) of said first student based on said plurality of attention transactions;determining, with at least one processor, a plurality of weights associated with said plurality of attributes;computing, with at least one processor an assessment of said plurality of assessments associated with said first student based on said TF, said AF, said EF, said AdF, said FF, said AtF, and said plurality of weights;determining, with at least one processor, a second student of said plurality of students;determining a transaction based on said university model graph database, wherein said transaction involves said first student and said second student; anddetermining an influence value of said plurality of influence values from said second student to said first student based on said transaction.