Abstract: Adaptive testing is a common means in the process of adaptive evaluation The prediction of adaptive testing length has a very important impact on time management and recommendation strategies of adaptive learning The research content and the current situation of adaptive testing length prediction are analyzed Then, the knowledge module adaptive testing length prediction model and the knowledge point adaptive testing length prediction model are constructed based on the latent factor model and the cognitive diagnosis model Through experiments on large-scale data sets, the results show that the prediction accuracy of the knowledge module adaptive testing length prediction model is high; Compared with the original model, the prediction accuracy of the optimized knowledge point adaptive testing length prediction model is greatly improved and the training time of the model is greatly reduced The research results have important application value for the realization of adaptive learning system.

Key words: adaptive learning, adaptive testing, latent factor model, cognitive diagnosis