Criterion for mastering the cluster window of terms in adaptive learning systems

The criterion for mastering a cluster window of terms in an adaptive learning system is proposed. The adaptive learning technique of L.A. Rastrigin is taken as a basis for the study. Its application in combination with a frequency dictionary of terms is considered. The criterion for mastering a cluster window of terms is calculated as a weighted sum of probabilities of ignorance of terms, normalized by the sum of their weights. This criterion allows regulating the issuance of cluster terms for training, ensuring their priority display during training using the adaptive learning technique. Also, the main criterion of training quality has been modified; a threshold value has been introduced for it, the change of which changes the behavior of the system during student testing. Thus, before reaching the threshold value, terms are issued from the cluster window, after - in accordance with the classical criterion of training quality. Student testing is simulated on a sample of 210 terms of the frequency dictionary according to system analysis with a duration of 100 sessions. The analysis of the modified adaptive learning system operation has been carried out. The proposed criterion of learning quality was compared with the previously used one. For cluster (target) terms, a decrease in the probability of ignorance and an increase in the frequency of their occurrence during testing on the developed algorithm were revealed. Which is a good indicator of achieving the goals set during the study.

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