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.