Cross-time-point cognitive diagnosis method considering student influence factors

Abstract

The invention discloses a cross-time-point cognitive diagnosis method considering student influence factors, and belongs to the technical field of educational evaluation, and the method comprises the steps: obtaining student answer data at a plurality of time points, and carrying out the fitting of the student answer data at each time point; distributing each student to a potential knowledge mastering state based on a fitting result, and calculating a classification error probability; constructing a potential transfer cognitive diagnosis model, optimizing the potential transfer cognitive diagnosis model based on the classification error probability, and obtaining an estimated initial state probability and an estimated transfer probability based on the optimized potential transfer cognitive diagnosis model; and performing cross-time point cognitive diagnosis on the student based on the estimated initial state probability and the estimated transition probability. The method can effectively analyze the influence of the covariable on the initial state of the student and the change rule of the potential knowledge mastering state at different time points.

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