Abstract: Systems and methods of the present invention provide for one or more machine learning models configured to generate one or more student outcome predictions, such as whether a student will correctly respond to items of an assessment or will pass the assessment, based on monitored student activity and associated parameters. Inputs to the machine learning models may include outputs of other predictive models, such as an item response theory model and a short term prediction model. The machine learning models may output a student outcome prediction vector containing student outcome predictions for each uncompleted item of an assessment being delivered to a student in real-time. Remediation activities may be recommended to or automatically initiated for the student based on the student outcome predictions. A delivery order of the assessment may be modified based on the student outcome predictions.

Abstract: Systems and methods of the present invention provide for one or more machine learning models configured to generate one or more student outcome predictions, such as whether a student will correctly respond to items of an assessment or will pass the assessment, based on monitored student activity and associated parameters. Inputs to the machine learning models may include outputs of other predictive models, such as an item response theory model and a short term prediction model. The machine learning models may output a student outcome prediction vector containing student outcome predictions for each uncompleted item of an assessment being delivered to a student in real-time. Remediation activities may be recommended to or automatically initiated for the student based on the student outcome predictions. A delivery order of the assessment may be modified based on the student outcome predictions.