Abstract: A computer implemented method for evaluating examination responses includes receiving, with an examination evaluation server, an examination response, tokenizing the examination response into one or more n-word segments, extracting, from the response, a set of construct-relevant features indicating one or more scoring metrics, generating a set of scoring rules, and generating a score estimate as a function of one or more scoring rules from the set of scoring rules and one or more of the scoring metrics.

Abstract: Systems and methods for enhanced monitoring of learning progressions include obtaining a first set of examinations and a first set of responses corresponding to the first set of examinations, a first set of examination assessments, training a machine-learning multidimensional scoring model based on the first set of examinations, the first set of responses, and the first set of examination assessments, generating a confusion matrix based on the first set of examination assessments, determining a performance assessment value from the confusion matrix, and determining that the multidimensional scoring model has been sufficiently trained if the performance assessment value meets or exceeds a selected threshold value.