SYSTEMS AND METHODS FOR DETECTING COLLUSION IN STUDENT TESTING USING GRADED SCORES OR ANSWERS FOR INDIVIDUAL QUESTIONS

摘要

Systems and methods for determining collusion in student academic exams are described. One embodiment includes receiving an input electronic file with academic test data that includes student identifiers, question scores associated with each student identifier, and the total score for each student, calculating an identity score for each pair of students, determining a maximum identity score for each student, generating a normalized collusion score for each student by subtracting from the maximum identity score an average identity score to generate an identity metric, and dividing the identity metric by a local average identity metric to generate a normalized collusion score, where the local average identity metric is an estimated average of a set of identity metrics for a subset of students adjacent to one another on the total test score ranked list, writing student identifiers and normalized collusion scores associated with student identifiers to an output electronic file.